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Tachibana A, Iga JI, Ozaki T, Yoshida T, Yoshino Y, Shimizu H, Mori T, Furuta Y, Shibata M, Ohara T, Hata J, Taki Y, Mikami T, Maeda T, Ono K, Mimura M, Nakashima K, Takebayashi M, Ninomiya T, Ueno SI. Serum high-sensitivity C-reactive protein and dementia in a community-dwelling Japanese older population (JPSC-AD). Sci Rep 2024; 14:7374. [PMID: 38548879 PMCID: PMC10978957 DOI: 10.1038/s41598-024-57922-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/22/2024] [Indexed: 04/01/2024] Open
Abstract
In recent years, the association between neuroinflammatory markers and dementia, especially Alzheimer's disease (AD), has attracted much attention. However, the evidence for the relationship between serum-hs-CRP and dementia including AD are inconsistent. Therefore, the relationships of serum high-sensitivity CRP (hs-CRP) with dementia including AD and with regions of interest of brain MRI were investigated. A total of 11,957 community residents aged 65 years or older were recruited in eight sites in Japan (JPSC-AD Study). After applying exclusion criteria, 10,085 participants who underwent blood tests and health-related examinations were analyzed. Then, serum hs-CRP levels were classified according to clinical cutoff values, and odds ratios for the presence of all-cause dementia and its subtypes were calculated for each serum hs-CRP level. In addition, the association between serum hs-CRP and brain volume regions of interest was also examined using analysis of covariance with data from 8614 individuals in the same cohort who underwent brain MRI. After multivariable adjustment, the odds ratios (ORs) for all-cause dementia were 1.04 (95% confidence interval [CI] 0.76-1.43), 1.68 (95%CI 1.08-2.61), and 1.51 (95%CI 1.08-2.11) for 1.0-1.9 mg/L, 2.0-2.9 mg/L, and ≥ 3.0 mg/L, respectively, compared to < 1.0 mg/L, and those for AD were 0.72 (95%CI 0.48-1.08), 1.76 (95%CI 1.08-2.89), and 1.61 (95%CI 1.11-2.35), for 1.0-1.9 mg/L, 2.0-2.9 mg/L, and ≥ 3.0 mg/L, respectively, compared to < 1.0 mg/L. Multivariable-adjusted ORs for all-cause dementia and for AD prevalence increased significantly with increasing serum hs-CRP levels (p for trend < 0.001 and p = 0.001, respectively). In addition, the multivariable-adjusted temporal cortex volume/estimated total intracranial volume ratio decreased significantly with increasing serum hs-CRP levels (< 1.0 mg/L 4.28%, 1.0-1.9 mg/L 4.27%, 2.0-2.9 mg/L 4.29%, ≥ 3.0 mg/L 4.21%; p for trend = 0.004). This study's results suggest that elevated serum hs-CRP levels are associated with greater risk of presence of dementia, especially AD, and of temporal cortex atrophy in a community-dwelling Japanese older population.
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Affiliation(s)
- Ayumi Tachibana
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Jun-Ichi Iga
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan.
| | - Tomoki Ozaki
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Taku Yoshida
- Department of Neuropsychiatry, Matsukaze Hospital, Shikokuchuo, Ehime, Japan
| | - Yuta Yoshino
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Hideaki Shimizu
- Department of Psychiatry, Heisei Hospital, Ozu, Ehime, Japan
| | - Takaaki Mori
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tatsuya Mikami
- Department of Preemptive Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Morioka, Iwate, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Masaru Mimura
- Center for Preventive Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Nakashima
- National Hospital Organization, Matsue Medical Center, Matsue, Shimane, Japan
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shu-Ichi Ueno
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan
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Nakamura H, Noguchi-Shinohara M, Ishimiya-Jokaji M, Kobayashi Y, Isa M, Ide K, Kawano T, Kawashiri S, Uchida K, Tatewaki Y, Taki Y, Ohara T, Ninomiya T, Ono K. Brain atrophy in normal older adult links tooth loss and diet changes to future cognitive decline. NPJ Aging 2024; 10:20. [PMID: 38519528 PMCID: PMC10960014 DOI: 10.1038/s41514-024-00146-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 03/05/2024] [Indexed: 03/25/2024]
Abstract
Several studies have found associations between poor oral health, particularly tooth loss and cognitive decline. However, the specific brain regions affected by tooth loss and the probable causes remain unclear. We conducted a population-based longitudinal cohort study in Nakajima, Nanao City, Japan. Between 2016 and 2018, 2454 residents aged ≥60 participated, covering 92.9% of the local age demographics. This study used comprehensive approach by combining detailed dental examinations, dietary assessments, magnetic resonance imaging (MRI) analysis, and cognitive evaluations. Tooth loss, even in cognitively normal individuals, is associated with parahippocampal gyrus atrophy and increased WMH volume, both of which are characteristics of dementia. Tooth loss was associated with altered dietary patterns, notably a reduction in plant-based food intake and an increase in fatty, processed food intake. This study highlights a possible preventative pathway where oral health may play a significant role in preventing the early neuropathological shifts associated with dementia.
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Affiliation(s)
- Hiroyuki Nakamura
- Department of Oral and Maxillofacial Surgery, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan.
| | - Moeko Noguchi-Shinohara
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Mai Ishimiya-Jokaji
- Department of Oral and Maxillofacial Surgery, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Yutaka Kobayashi
- Department of Oral and Maxillofacial Surgery, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Mikana Isa
- Department of Oral and Maxillofacial Surgery, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Kentaro Ide
- Department of Oral and Maxillofacial Surgery, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Toshihiro Kawano
- Department of Oral and Maxillofacial Surgery, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Shuichi Kawashiri
- Department of Oral and Maxillofacial Surgery, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Kazuhiro Uchida
- Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan
| | - Yasuko Tatewaki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
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Mutoh T, Tochinai R, Aono H, Kuwahara M, Taki Y, Ishikawa T. Simple procedure for assessing diffuse subarachnoid hemorrhage successfully created using filament perforation method in mice. Animal Model Exp Med 2024; 7:77-81. [PMID: 38111348 PMCID: PMC10961900 DOI: 10.1002/ame2.12372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/04/2023] [Indexed: 12/20/2023] Open
Abstract
The murine model of subarachnoid hemorrhage (SAH) is a valuable experimental tool for investigating molecular and cellular mechanisms, and the endovascular filament perforation technique can be used to simulate prominent pathophysiological features observed after human SAH; however, current validation methods for assessing an appropriate SAH model are limited. Here, we introduce a simple procedure for selecting a mouse model of diffuse SAH. SAH was induced in 24 mice using a standard filament perforation method. After confirming survival at 24 h, SAH was scored 0-1 based on T2*-weighted images on whole-brain magnetic resonance imaging (MRI) and visual surveillance of the cisterna magna (CM) through the dura mater. The CM-based SAH grading correlated well with a reference parameter defined by extracted brain (r2 = 0.53, p < 0.0001). The receiver operating characteristic curve revealed a sensitivity of 85% and a specificity of 91% for detecting diffuse SAH, with a similar area under the curve (0.89 ± 0.06 [standard error of the mean]) as the MRI-based grading (0.72 ± 0.10, p = 0.12). Our data suggest that confirming an SAH clot in the CM is a valuable way to select a clinically relevant diffuse SAH model that can be used in future experimental studies.
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Affiliation(s)
- Tatsushi Mutoh
- Department of Surgical Neurology, Research Institute for Brain and Blood VesselsAkita Cerebrospinal and Cardiovascular CenterAkitaJapan
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Ryota Tochinai
- Department of Surgical Neurology, Research Institute for Brain and Blood VesselsAkita Cerebrospinal and Cardiovascular CenterAkitaJapan
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agriculture and Life SciencesThe University of TokyoTokyoJapan
| | - Hiroaki Aono
- Department of Surgical Neurology, Research Institute for Brain and Blood VesselsAkita Cerebrospinal and Cardiovascular CenterAkitaJapan
| | - Masayoshi Kuwahara
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agriculture and Life SciencesThe University of TokyoTokyoJapan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Tatsuya Ishikawa
- Department of Surgical Neurology, Research Institute for Brain and Blood VesselsAkita Cerebrospinal and Cardiovascular CenterAkitaJapan
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Tachibana A, Iga JI, Tatewaki Y, Thyreau B, Chen H, Ozaki T, Yoshida T, Yoshino Y, Shimizu H, Mori T, Furuta Y, Shibata M, Ohara T, Hata J, Taki Y, Nakaji S, Maeda T, Ono K, Mimura M, Nakashima K, Takebayashi M, Ninomiya T, Ueno SI. Late-Life High Blood Pressure and Enlarged Perivascular Spaces in the Putaminal Regions of Community-Dwelling Japanese Older Persons. J Geriatr Psychiatry Neurol 2024; 37:61-72. [PMID: 37537887 DOI: 10.1177/08919887231195235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
BACKGROUND Enlarged perivascular spaces (EPVS) of the brain may be involved in dementia, such as Alzheimer's disease and cerebral small vessel disease (CSVD). Hypertension has been reported to be a risk factor for dementia and CSVD, but the association between blood pressure (BP) and perivascular spaces is still unclear. The aim of this study was to determine the association between BP and EPVS volumes and to examine the interactions of relevant factors. METHODS A total of 9296 community-dwelling subjects aged ≥65 years participated in a brain magnetic resonance imaging and health status screening examination. Perivascular volume was measured using a software package based on deep learning that was developed in-house. The associations between BP and EPVS volumes were examined by analysis of covariance and multiple regression analysis. RESULTS Mean EPVS volumes increased significantly with rising systolic and diastolic BP levels (P for trend = .003, P for trend<.001, respectively). In addition, mean EPVS volumes increased significantly for every 1-mmHg-increment in systolic and diastolic BPs (both P values <.001). These significant associations were still observed in the sensitivity analysis after excluding subjects with dementia. CONCLUSIONS The present data suggest that higher systolic and diastolic BP levels are associated with greater EPVS volumes in cognitively normal older people.
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Affiliation(s)
- Ayumi Tachibana
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | - Jun-Ichi Iga
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Benjamin Thyreau
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hongkun Chen
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tomoki Ozaki
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | - Taku Yoshida
- Department of Neuropsychiatry, Zaidan Niihama Hospital, Ehime, Japan
| | - Yuta Yoshino
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | | | - Takaaki Mori
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyusyu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | | | - Kenji Nakashima
- National Hospital Organization, Matsue Medical Center, Shimane, Japan
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shu-Ichi Ueno
- Department of Neuropsychiatry, Neuroscience, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
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Mutoh T, Mutoh T, Kurosaki H, Taki Y. Effects of Hippotherapy on Health-Related Quality of Life in Caregivers of Children with Cerebral Palsy: A Pilot Quasi-Experimental Study in Japan. Healthcare (Basel) 2023; 11:3175. [PMID: 38132065 PMCID: PMC10743095 DOI: 10.3390/healthcare11243175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/10/2023] [Accepted: 12/14/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Despite accumulating data regarding the beneficial effects of hippotherapy on gait and balance skills in children with cerebral palsy (CP), its effects on caregivers' quality of life (QOL) are limited, presumably due to a lack of reliable and valid measurement tools. This study aims to evaluate the impact of hippotherapy on the health-related QOL of primary caregivers using the Japanese version of the Cerebral Palsy Quality of Life for Children (CP QOL) questionnaire. METHODS A quasi-experimental design embedded within our existing cohort was utilized. A total of 29 children with CP (range 4-12 years) and their caregivers participated in either a weekly hippotherapy or recreation (usual care) program for 1 year. In addition to gait-related measurements (Gross Motor Function Measure [GMFM]-E) of children, CP QOL-evidenced determinants of the caregivers' health-related QOL and well-being were compared before and after the intervention. RESULTS In addition to improvements in children's GMFM-E scores, hippotherapy improved CP QOL domains related to participation and physical health, children's emotional well-being, and parents' overall health (p < 0.05). Linear regression analysis showed a positive relationship between the children's GMFM-E scores and their caregivers' health domains in participants who received hippotherapy (r2 = 0.404; p = 0.011). CONCLUSIONS Hippotherapy has a beneficial effect on the physical and mental well-being and satisfaction of Japanese parents caring for children with CP.
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Affiliation(s)
- Tomoko Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
- Division of Clinical Psychology, Graduate School of Human Sciences, Kobe Shoin Women’s University, Kobe 657-0015, Japan
| | - Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
- Research Institute for Brain and Blood Vessels, Akita Cerebrospinal and Cardiovascular Center, Akita 010-0874, Japan
| | - Hiromi Kurosaki
- Research Institute for Brain and Blood Vessels, Akita Cerebrospinal and Cardiovascular Center, Akita 010-0874, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
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Nakase T, Thyreau B, Tatewaki Y, Tomita N, Takano Y, Muranaka M, Taki Y. Association between Gray and White Matter Lesions and Its Involvement in Clinical Symptoms of Alzheimer's-Type Dementia. J Clin Med 2023; 12:7642. [PMID: 38137710 PMCID: PMC10744158 DOI: 10.3390/jcm12247642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/04/2023] [Accepted: 12/09/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Not only gray matter lesions (GMLs) but also white matter lesions (WMLs) can play important roles in the pathology of Alzheimer's disease (AD). The progression of cognitive impairment (CI) and behavioral and psychological symptoms of dementia (BPSD) might be caused by a concerted effect of both GML and WML. OBJECTIVE This study aimed to investigate the association between GML and WML and how they are involved in the symptoms of CI and BPSD in dementia patients by means of imaging technology. METHODS Patients in our memory clinic, who were diagnosed with AD-type dementia or amnestic mild cognitive impairment (aMCI) and had undergone both single-photon emission computed tomography (SPECT) and brain MRI, were consecutively enrolled (n = 156; 61 males and 95 females; 79.8 ± 7.4 years old). Symptoms of CI and BPSD were obtained from patients' medical records. For the analysis of GMLs and WMLs, SPECT data and MRI T1-weighted images were used, respectively. This study followed the Declaration of Helsinki, and all procedures were approved by the institutional ethics committee. RESULTS According to a multivariate analysis, disorientation and disturbed attention demonstrated a relationship between the precuneus and WMLs in both hemispheres. Hyperactivity in BPSD showed multiple correlations between GMLs on both sides of the frontal cortex and WMLs. Patients with aMCI presented more multiple correlations between GMLs and WMLs compared with those with AD-type dementia regarding dementia symptoms including BPSD. CONCLUSION The interaction between GMLs and WMLs may vary depending on the symptoms of CI and BPSD. Hyperactivity in BPSD may be affected by the functional relationship between GMLs and WMLs in the left and right hemispheres. The correlation between GMLs and WMLs may be changing in AD-type dementia and aMCI.
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Affiliation(s)
- Taizen Nakase
- Department of Aging Research & Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.T.); (N.T.); (Y.T.)
| | - Benjamin Thyreau
- Smart Aging Research Center, Tohoku University, Sendai 980-8575, Japan;
| | - Yasuko Tatewaki
- Department of Aging Research & Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.T.); (N.T.); (Y.T.)
| | - Naoki Tomita
- Department of Aging Research & Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.T.); (N.T.); (Y.T.)
| | - Yumi Takano
- Department of Aging Research & Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.T.); (N.T.); (Y.T.)
| | - Michiho Muranaka
- Department of Aging Research & Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.T.); (N.T.); (Y.T.)
| | - Yasuyuki Taki
- Department of Aging Research & Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.T.); (N.T.); (Y.T.)
- Smart Aging Research Center, Tohoku University, Sendai 980-8575, Japan;
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Matsudaira I, Yamaguchi R, Taki Y. Transmit Radiant Individuality to Offspring (TRIO) study: investigating intergenerational transmission effects on brain development. Front Psychiatry 2023; 14:1150973. [PMID: 37840799 PMCID: PMC10568142 DOI: 10.3389/fpsyt.2023.1150973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 09/07/2023] [Indexed: 10/17/2023] Open
Abstract
Intergenerational transmission is a crucial aspect of human development. Although prior studies have demonstrated the continuity of psychopathology and maladaptive upbringing environments between parents and offspring, the underlying neurobiological mechanisms remain unclear. We have begun a novel neuroimaging research project, the Transmit Radiant Individuality to Offspring (TRIO) study, which focuses on biological parent-offspring trios. The participants of the TRIO study were Japanese parent-offspring trios consisting of offspring aged 10-40 and their biological mother and father. Structural and functional brain images of all participants were acquired using magnetic resonance imaging (MRI). Saliva samples were collected for DNA analysis. We obtained psychosocial information, such as intelligence, mental health problems, personality traits, and experiences during the developmental period from each parent and offspring in the same manner as much as possible. By April 2023, we completed data acquisition from 174 trios consisting of fathers, mothers, and offspring. The target sample size was 310 trios. However, we plan to conduct genetic and epigenetic analyses, and the sample size is expected to be expanded further while developing this project into a multi-site collaborative study in the future. The TRIO study can challenge the elucidation of the mechanism of intergenerational transmission effects on human development by collecting diverse information from parents and offspring at the molecular, neural, and behavioral levels. Our study provides interdisciplinary insights into how individuals' lives are involved in the construction of the lives of their descendants in the subsequent generation.
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Affiliation(s)
- Izumi Matsudaira
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
| | - Ryo Yamaguchi
- Japan Society for the Promotion of Science, Tokyo, Japan
- Department of Medical Sciences, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
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Hirabayashi N, Honda T, Hata J, Furuta Y, Shibata M, Ohara T, Tatewaki Y, Taki Y, Nakaji S, Maeda T, Ono K, Mimura M, Nakashima K, Iga JI, Takebayashi M, Ninomiya T. Association Between Frequency of Social Contact and Brain Atrophy in Community-Dwelling Older People Without Dementia: The JPSC-AD Study. Neurology 2023; 101:e1108-e1117. [PMID: 37438128 DOI: 10.1212/wnl.0000000000207602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 05/16/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Epidemiologic evidence has shown that social isolation, a low frequency of social contact with others, is associated with the risk of dementia and late-life depressive symptoms. Therefore, we hypothesized that low frequency of social contact may be involved in brain atrophy, and depressive symptoms may play some role in this relationship. We aimed to evaluate the association between low frequency of social contact and the volumes of various brain regions and to assess the extent to which depressive symptoms mediate these relationships from a large population-based multisite cohort study. METHODS Dementia-free community-dwelling Japanese aged 65 years or older underwent brain MRI scans and a comprehensive health examination. Frequency of contact with noncohabiting relatives and friends was determined by asking a single question with 4 categories: everyday, several times a week, several times a month, and seldom. Total and regional brain volumes, intracranial volume (ICV), and white matter lesion volume were estimated using FreeSurfer software. The associations between frequency of social contact and brain volumes per ICV were examined using analyses of covariance. Mediation analyses were conducted to calculate the proportion of the associations explained by depressive symptoms. RESULTS We included 8,896 participants. The multivariable-adjusted mean of the total brain volume in the group with the lowest frequency of social contact was significantly lower compared with that in the group with the highest frequency of social contact (67.3% vs 67.8%), with a significant increasing trend across the groups (p value for trend <0.001). The white matter lesion volume increased significantly with lower frequency of social contact (0.30% in the lowest frequency group vs 0.26% in the highest frequency group, p value for trend <0.001). Lower frequency of social contact was associated with smaller volumes in the temporal lobe, occipital lobe, cingulum, hippocampus, and amygdala (all q values of false discovery rate correction <0.05). The relationships seemed to be partly mediated by depressive symptoms, which accounted for 15%-29% of the observed associations. DISCUSSION Lower frequency of social contact was associated with decreased total and cognitive function-related regional brain volumes. In addition, depressive symptoms partially explained the association in community-dwelling older people without dementia in Japan.
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Affiliation(s)
- Naoki Hirabayashi
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Takanori Honda
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Jun Hata
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Yoshihiko Furuta
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Mao Shibata
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Tomoyuki Ohara
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Yasuko Tatewaki
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Yasuyuki Taki
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Shigeyuki Nakaji
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Tetsuya Maeda
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Kenjiro Ono
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Masaru Mimura
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Kenji Nakashima
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Jun-Ichi Iga
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Minoru Takebayashi
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan
| | - Toshiharu Ninomiya
- From the Department of Epidemiology and Public Health (N.H., T.H., J.H., Y.F., M.S., T.O., T.N.), Department of Psychosomatic Medicine (N.H., M.S.), Ito Clinic (N.H.), Center for Cohort Studies (T.H., J.H., M.S., T.N.), Department of Medicine and Clinical Science (J.H., Y.F.), and Department of Neuropsychiatry (T.O.), Graduate School of Medical Sciences, Kyushu University, Fukuoka; Department of Aging Research and Geriatric Medicine (Y. Tatewaki, Y. Taki), Institute of Development, Aging and Cancer, Tohoku University, Sendai; Department of Social Medicine (S.N.), Graduate School of Medicine, Hirosaki University; Division of Neurology and Gerontology (T.M.), Department of Internal Medicine, School of Medicine, Iwate Medical University, Yahaba; Department of Neurology (K.O.), Kanazawa University Graduate School of Medical Sciences, Kanazawa University; Department of Neuropsychiatry (M.M.), Keio University School of Medicine, Tokyo; National Hospital Organization (K.N.), Matsue Medical Center; Department of Neuropsychiatry (J.I.), Ehime University Graduate School of Medicine, Ehime University, Matsuyama; and Department of Neuropsychiatry (M.T.), Faculty of Life Sciences, Kumamoto University, Japan.
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9
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Harada R, Lerdsirisuk P, Shimizu Y, Yokoyama Y, Du Y, Kudo K, Ezura M, Ishikawa Y, Iwata R, Shidahara M, Ishiki A, Kikuchi A, Hatano Y, Ishihara T, Onodera O, Iwasaki Y, Yoshida M, Taki Y, Arai H, Kudo Y, Yanai K, Furumoto S, Okamura N. Preclinical Characterization of the Tau PET Tracer [ 18F]SNFT-1: Comparison of Tau PET Tracers. J Nucl Med 2023; 64:1495-1501. [PMID: 37321821 DOI: 10.2967/jnumed.123.265593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/03/2023] [Indexed: 06/17/2023] Open
Abstract
Tau PET tracers are expected to be sufficiently sensitive to track the progression of age-related tau pathology in the medial temporal cortex. The tau PET tracer N-(4-[18F]fluoro-5-methylpyridin-2-yl)-7-aminoimidazo[1,2-a]pyridine ([18F]SNFT-1) has been successfully developed by optimizing imidazo[1,2-a]pyridine derivatives. We characterized the binding properties of [18F]SNFT-1 using a head-to-head comparison with other reported 18F-labeled tau tracers. Methods: The binding affinity of SNFT-1 to tau, amyloid, and monoamine oxidase A and B was compared with that of the second-generation tau tracers MK-6240, PM-PBB3, PI-2620, RO6958948, JNJ-64326067, and flortaucipir. In vitro binding properties of 18F-labeled tau tracers were evaluated through the autoradiography of frozen human brain tissues from patients with diverse neurodegenerative disease spectra. Pharmacokinetics, metabolism, and radiation dosimetry were assessed in normal mice after intravenous administration of [18F]SNFT-1. Results: In vitro binding assays demonstrated that [18F]SNFT-1 possesses high selectivity and high affinity for tau aggregates in Alzheimer disease (AD) brains. Autoradiographic analysis of tau deposits in medial temporal brain sections from patients with AD showed a higher signal-to-background ratio for [18F]SNFT-1 than for the other tau PET tracers and no significant binding with non-AD tau, α-synuclein, transactiviation response DNA-binding protein-43, and transmembrane protein 106B aggregates in human brain sections. Furthermore, [18F]SNFT-1 did not bind significantly to various receptors, ion channels, or transporters. [18F]SNFT-1 showed a high initial brain uptake and rapid washout from the brains of normal mice without radiolabeled metabolites. Conclusion: These preclinical data suggest that [18F]SNFT-1 is a promising and selective tau radiotracer candidate that allows the quantitative monitoring of age-related accumulation of tau aggregates in the human brain.
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Affiliation(s)
- Ryuichi Harada
- Department of Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan;
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuki Shimizu
- Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Yuka Yokoyama
- Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Yiqing Du
- Department of Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kaede Kudo
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | - Michinori Ezura
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoichi Ishikawa
- Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Ren Iwata
- Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Miho Shidahara
- Department of Quantum Science and Energy Engineering, Tohoku University, Sendai, Japan
| | - Aiko Ishiki
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
- Division of Community Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Akio Kikuchi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yuya Hatano
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Tomohiko Ishihara
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Osamu Onodera
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Yasushi Iwasaki
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Japan; and
| | - Mari Yoshida
- Department of Neuropathology, Institute for Medical Science of Aging, Aichi Medical University, Nagakute, Japan; and
| | - Yasuyuki Taki
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | - Hiroyuki Arai
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | - Yukitsuka Kudo
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
| | - Kazuhiko Yanai
- Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Shozo Furumoto
- Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Nobuyuki Okamura
- Division of Brain Science, Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and Cancer, Tohoku University, Sendai, Japan
- Division of Pharmacology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
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10
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Zhang Y, Tatewaki Y, Nakase T, Liu Y, Tomita N, Thyreau B, Zheng H, Muranaka M, Takano Y, Nagasaka T, Taki Y. Impact of hs-CRP concentration on brain structure alterations and cognitive trajectory in Alzheimer's disease. Front Aging Neurosci 2023; 15:1227325. [PMID: 37593375 PMCID: PMC10427872 DOI: 10.3389/fnagi.2023.1227325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 07/13/2023] [Indexed: 08/19/2023] Open
Abstract
Introduction Present study was to investigate hs-CRP concentration, brain structural alterations, and cognitive function in the context of AD [Subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD]. Methods We retrospectively included 313 patients (Mean age = 76.40 years, 59 SCD, 101 MCI, 153 AD) in a cross-sectional analysis and 91 patients (Mean age = 75.83 years, 12 SCD, 43 MCI, 36 AD) in a longitudinal analysis. Multivariable linear regression was conducted to investigate the relationship between hs-CRP concentration and brain structural alterations, and cognitive function, respectively. Results Hs-CRP was positively associated with gray matter volume in the left fusiform (β = 0.16, pFDR = 0.023) and the left parahippocampal gyrus (β = 0.16, pFDR = 0.029). Post hoc analysis revealed that these associations were mainly driven by patients with MCI and AD. The interaction of diagnosis and CRP was significantly associated with annual cognitive changes (β = 0.43, p = 0.008). Among these patients with AD, lower baseline CRP was correlated with greater future cognitive decline (r = -0.41, p = 0.013). Conclusion Our study suggests that increased hs-CRP level may exert protective effect on brain structure alterations and future cognitive changes among patients already with cognitive impairment.
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Affiliation(s)
- Ye Zhang
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Taizen Nakase
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Yingxu Liu
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Naoki Tomita
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | | | - Haixia Zheng
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Michiho Muranaka
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Yumi Takano
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Tatsuo Nagasaka
- Division of Radiology, Tohoku University Hospital, Sendai, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
- Smart-Aging Research Center, Tohoku University, Sendai, Japan
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11
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Tomita N, Ohashi Y, Ishiki A, Ozaki A, Nakao M, Ebihara S, Taki Y. Detecting Comparative Features of Comprehensive Geriatric Assessment through the International Classification of Functioning, Disability, and Health Linkage: A Web-Based Survey. J Clin Med 2023; 12:4917. [PMID: 37568319 PMCID: PMC10419489 DOI: 10.3390/jcm12154917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/10/2023] [Accepted: 07/17/2023] [Indexed: 08/13/2023] Open
Abstract
Multidimensional assessments are important in evaluating the overall health of older adults. The comprehensive geriatric assessment (CGA) is a representative framework; however, the burden associated with the CGA has led to the development of simplified multidimensional tools. Comparing these tools to the CGA can help utilize them effectively. However, a direct comparison is challenging owing to the conceptual nature of the CGA. In this study, we conducted a web-based survey to identify essential CGA components by linking International Classification of Functioning, Disability, and Health (ICF) category level 2 items and "not defined/not covered" (nd/nc) items. Healthcare professionals and individuals aged >65 years participated in a two-stage Delphi study. In total, 182 respondents (7 geriatricians, 22 nurses, 20 therapists, and 4 case managers) completed the survey. Sixty-one essential components for CGA were identified, including 55 ICF categories. Additionally, personal factors (i.e., proactiveness) and nd/nc items (i.e., subjective perceptions) were aggregated. The results suggest that the CGA includes objective conditions of intrinsic capacity, functional ability, and environment as well as subjective perceptions and proactiveness toward those conditions. Thus, CGA is not merely expected to assess geriatric syndrome but also to estimate broader concepts, such as interoception, resilience, and quality of life.
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Affiliation(s)
- Naoki Tomita
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai 980-8575, Miyagi, Japan
- Department of Aging Research and Geriatric Medicine, Division of Brain Science, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Miyagi, Japan
| | - Yuki Ohashi
- Nursing Department, Rakuwakai Otowa Rehabilitation Hospital, Kyoto City 607-8062, Kyoto Prefecture, Japan
| | - Aiko Ishiki
- Department of Community Medicine, Tohoku Medical and Pharmaceutical University, Sendai 981-8558, Miyagi, Japan
| | - Akiko Ozaki
- Department of Gerontological and Home Healthcare Nursing, Division of Health Sciences, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Miyagi, Japan
| | - Mitsuyuki Nakao
- Laboratory of Biomodeling, Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Sendai 980-8579, Miyagi, Japan
- Unprecedented-Scale Data Analytics Center, Tohoku University, Sendai 980-8579, Miyagi, Japan
| | - Satoru Ebihara
- Department of Internal Medicine and Rehabilitation Science, Graduate School of Medicine, Tohoku University, Sendai 980-857, Miyagi, Japan;
| | - Yasuyuki Taki
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai 980-8575, Miyagi, Japan
- Department of Aging Research and Geriatric Medicine, Division of Brain Science, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai 980-8575, Miyagi, Japan
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12
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Taira M, Mugikura S, Mori N, Hozawa A, Saito T, Nakamura T, Kiyomoto H, Kobayashi T, Ogishima S, Nagami F, Uruno A, Shimizu R, Kobayashi T, Yasuda J, Kure S, Sakurai M, Motoike IN, Kumada K, Nakaya N, Obara T, Oba K, Sekiguchi A, Thyreau B, Mutoh T, Takano Y, Abe M, Maikusa N, Tatewaki Y, Taki Y, Yaegashi N, Tomita H, Kinoshita K, Kuriyama S, Fuse N, Yamamoto M. Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background. JMA J 2023; 6:246-264. [PMID: 37560377 PMCID: PMC10407421 DOI: 10.31662/jmaj.2022-0220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/24/2023] [Indexed: 08/11/2023] Open
Abstract
The Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study (TMM Brain MRI Study) was established to collect multimodal information through neuroimaging and neuropsychological assessments to evaluate the cognitive function and mental health of residents who experienced the Great East Japan Earthquake (GEJE) and associated tsunami. The study also aimed to promote advances in personalized healthcare and medicine related to mental health and cognitive function among the general population. We recruited participants for the first (baseline) survey starting in July 2014, enrolling individuals who were participating in either the TMM Community-Based Cohort Study (TMM CommCohort Study) or the TMM Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study). We collected multiple magnetic resonance imaging (MRI) sequences, including 3D T1-weighted sequences, magnetic resonance angiography (MRA), diffusion tensor imaging (DTI), pseudo-continuous arterial spin labeling (pCASL), and three-dimensional fluid-attenuated inversion recovery (FLAIR) sequences. To assess neuropsychological status, we used both questionnaire- and interview-based rating scales. The former assessments included the Tri-axial Coping Scale, Impact of Event Scale in Japanese, Profile of Mood States, and 15-item Depression, Anxiety, and Stress Scale, whereas the latter assessments included the Mini-Mental State Examination, Japanese version. A total of 12,164 individuals were recruited for the first (baseline) survey, including those unable to complete all assessments. In parallel, we returned the MRI results to the participants and subsequently shared the MRI data through the TMM Biobank. At present, the second (first follow-up) survey of the study started in October 2019 is underway. In this study, we established a large and comprehensive database that included robust neuroimaging data as well as psychological and cognitive assessment data. In combination with genomic and omics data already contained in the TMM Biobank database, these data could provide new insights into the relationships of pathological processes with neuropsychological disorders, including age-related cognitive impairment.
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Affiliation(s)
- Makiko Taira
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Shunji Mugikura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Naoko Mori
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomo Saito
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hideyasu Kiyomoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tadao Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Soichi Ogishima
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Fuji Nagami
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Akira Uruno
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Ritsuko Shimizu
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Tomoko Kobayashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Jun Yasuda
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Miyagi Cancer Center, Natori, Japan
| | - Shigeo Kure
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
- Miyagi Children's Hospital, Sendai, Japan
| | - Miyuki Sakurai
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ikuko N Motoike
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Kazuki Kumada
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Taku Obara
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kentaro Oba
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Benjamin Thyreau
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tatsushi Mutoh
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuji Takano
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- University of Human Environments, Matsuyama, Japan
| | - Mitsunari Abe
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Graduate School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Norihide Maikusa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Graduate School of Art and Science, University of Tokyo, Tokyo, Japan
| | - Yasuko Tatewaki
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Nobuo Yaegashi
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku University Hospital, Tohoku University, Sendai, Japan
| | - Kengo Kinoshita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
- Graduate School of Information Sciences, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- The United Centers for Advanced Research and Translational Medicine, Tohoku University, Sendai, Japan
| | - Nobuo Fuse
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Graduate School of Medicine, Tohoku University, Sendai, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, Sendai, Japan
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13
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Nagashima Y, Tochinai R, Sekizawa SI, Kato D, Nakagawa T, Tsuru Y, Tatewaki Y, Mutoh T, Taki Y, Kuwahara M. Pretreatment with tadalafil attenuates cardiotoxicity induced by combretastatin A4 disodium phosphate in rats. J Toxicol Pathol 2023; 36:151-158. [PMID: 37577366 PMCID: PMC10412959 DOI: 10.1293/tox.2022-0143] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/04/2023] [Indexed: 08/15/2023] Open
Abstract
Combretastatin A4 disodium phosphate (CA4DP) is a prodrug of combretastatin A4 (CA4), a microtubule-disassembling agent that exhibits antitumor effects by inhibiting tumor cell proliferation and inducing morphological changes and apoptosis in vascular endothelial cells in tumors. However, cardiotoxicity induced by ischemia and hypertension is a severe adverse event. In this study, we focused on the fact that phosphodiesterase (PDE) 5 inhibitors dilate the heart and peripheral blood vessels and aimed to investigate whether co-administration of tadalafil, a PDE5 inhibitor, can attenuate cardiotoxicity without altering the antitumor effect of CA4DP. To investigate cardiotoxicity, CA4DP and/or tadalafil were administered to rats, and blood pressure, echocardiography, histopathology, and cGMP concentration in the myocardium were examined. Administration of CA4DP increased systolic blood pressure, decreased cardiac function, lowered cGMP levels in the myocardium, and led to necrosis of myocardial cells. Co-administration of tadalafil attenuated these CA4DP-induced changes. To investigate the antitumor effect, canine mammary carcinoma cell lines (CHMp-13a) and human umbilical vein endothelial cells were cultured with CA4 and/or tadalafil, and cell proliferation and endothelial vascular tube disruption were examined. CHMp-13a cells were transplanted into nude mice and treated with CA4DP and/or tadalafil. CA4-induced inhibition of cell proliferation and disruption of the endothelial vascular tube were not affected by co-treatment with tadalafil, and the antitumor effects of CA4DP in xenograft mice were not reduced by co-administration of tadalafil. These results revealed that myocardial damage induced by CA4DP was attenuated by co-administration of tadalafil while maintaining antitumor efficacy.
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Affiliation(s)
- Yoshiyasu Nagashima
- Department of Veterinary Pathophysiology and Animal Health,
Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi,
Bunkyo-ku, Tokyo 113-8657, Japan
| | - Ryota Tochinai
- Department of Veterinary Pathophysiology and Animal Health,
Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi,
Bunkyo-ku, Tokyo 113-8657, Japan
- Department of Aging Research and Geriatric Medicine,
Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryocho, Aobaku,
Sendai 980-8575, Japan
- Research Institute for Brain and Blood Vessels, Akita
Cerebrospinal and Cardiovascular Center, 6-10 Sensyu-Kubota-machi, Akita 010-0874,
Japan
| | - Shin-ichi Sekizawa
- Department of Veterinary Pathophysiology and Animal Health,
Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi,
Bunkyo-ku, Tokyo 113-8657, Japan
| | - Daiki Kato
- Laboratory of Veterinary Surgery, Graduate School of
Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo,
113-8657, Japan
| | - Takayuki Nakagawa
- Laboratory of Veterinary Surgery, Graduate School of
Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo,
113-8657, Japan
| | - Yoshiharu Tsuru
- Primetech Corp. Life Science Laboratory, 1-1-1 Yayoi,
Bunkyo-ku, Tokyo, 113-8657, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine,
Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryocho, Aobaku,
Sendai 980-8575, Japan
| | - Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine,
Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryocho, Aobaku,
Sendai 980-8575, Japan
- Research Institute for Brain and Blood Vessels, Akita
Cerebrospinal and Cardiovascular Center, 6-10 Sensyu-Kubota-machi, Akita 010-0874,
Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine,
Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryocho, Aobaku,
Sendai 980-8575, Japan
| | - Masayoshi Kuwahara
- Department of Veterinary Pathophysiology and Animal Health,
Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi,
Bunkyo-ku, Tokyo 113-8657, Japan
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14
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Orihara H, Ma M, Nagashima Y, Tochinai R, Sekizawa SI, Kato D, Shinada M, Aoki S, Fujita N, Nakagawa T, Tsuru Y, Tatewaki Y, Mutoh T, Taki Y, Nishimura R, Kuwahara M. Co-administration of JQ1, a bromodomain-containing protein 4 inhibitor, enhances the antitumor effect of combretastatin A4, a microtubule inhibitor, while attenuating its cardiotoxicity. Biomed Pharmacother 2023; 160:114353. [PMID: 36736274 DOI: 10.1016/j.biopha.2023.114353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/26/2023] [Accepted: 01/31/2023] [Indexed: 02/04/2023] Open
Abstract
Combretastatin A4 (CA4) inhibits microtubule polymerization, and clinical trials of the prodrug, CA4 disodium phosphate (CA4DP), as an anti-cancer agent have been conducted. However, CA4DP has not been marketed to date because the margin between the effective dose and the cardiotoxic dose is insufficient. Meanwhile, bromodomain-containing protein 4 (BRD4) has been reported to be required for recovery from mitotic arrests induced by anti-microtubule drugs. BRD4 has also been reported to be involved in the progression of heart failure. Therefore, we hypothesized that the combined use of CA4DP with BRD4 inhibitors can enhance the antitumor effect and attenuate CA4DP-induced cardiotoxicity. In this study, the antitumor effect and cardiotoxicity caused by the co-administration of CA4DP with JQ1, a BRD4 inhibitor, were evaluated. CA4 or JQ1 alone reduced the viability of cultured canine mammary tumor cells (CHMp-13a). Viability was further reduced by co-administration, through the suppression of c-Myc. BRD4 positivity in CHMp-13a cytoplasm showed a significant increase when treated with CA4 alone, while the increase was not significant following co-administration. In CHMp-13a xenograft-transplanted mice, co-administration of CA4DP and JQ1 suppressed tumor growth significantly. In CA4DP-induced cardiac injury model rats, echocardiography showed a CA4DP-induced decrease in cardiac function and histopathology showed cardiomyocyte necrosis. Meanwhile, these cardiac changes tended to be milder following the co-administration of CA4DP and JQ1. These results suggest that CA4DP-JQ1 co-administration enhances the antitumor effect of CA4DP while attenuating its cardiotoxicity and therefore potentially open the doors to the development of a novel cancer chemotherapy with reduced cardiotoxicity risks.
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Affiliation(s)
- Haruka Orihara
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Min Ma
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Yoshiyasu Nagashima
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Ryota Tochinai
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan; Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aobaku, Sendai-shi, Miyagi 980-8575, Japan; Research Institute for Brain and Blood Vessels, Akita Cerebrospinal and Cardiovascular Center, 6-10 Sensyu-Kubota-machi, Akita-shi, Akita 010-0874, Japan.
| | - Shin-Ichi Sekizawa
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Daiki Kato
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Masahiro Shinada
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Susumu Aoki
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Naoki Fujita
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Takayuki Nakagawa
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Yoshiharu Tsuru
- Primetech Corp. Life Science Laboratory, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aobaku, Sendai-shi, Miyagi 980-8575, Japan
| | - Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aobaku, Sendai-shi, Miyagi 980-8575, Japan; Research Institute for Brain and Blood Vessels, Akita Cerebrospinal and Cardiovascular Center, 6-10 Sensyu-Kubota-machi, Akita-shi, Akita 010-0874, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aobaku, Sendai-shi, Miyagi 980-8575, Japan
| | - Ryohei Nishimura
- Laboratory of Veterinary Surgery, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
| | - Masayoshi Kuwahara
- Department of Veterinary Pathophysiology and Animal Health, Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-8657, Japan
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15
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Maki K, Ohara T, Hata J, Shibata M, Hirabayashi N, Honda T, Sakata S, Furuta Y, Akiyama M, Yamasaki K, Tatewaki Y, Taki Y, Kitazono T, Mikami T, Maeda T, Ono K, Mimura M, Nakashima K, Iga JI, Takebayashi M, Ninomiya T. CKD, Brain Atrophy, and White Matter Lesion Volume: The Japan Prospective Studies Collaboration for Aging and Dementia. Kidney Med 2023; 5:100593. [PMID: 36874508 PMCID: PMC9982615 DOI: 10.1016/j.xkme.2022.100593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 10/26/2022] [Indexed: 12/24/2022] Open
Abstract
Rationale & Objective Chronic kidney disease, defined by albuminuria and/or reduced estimated glomerular filtration rate (eGFR), has been reported to be associated with brain atrophy and/or higher white matter lesion volume (WMLV), but there are few large-scale population-based studies assessing this issue. This study aimed to examine the associations between the urinary albumin-creatinine ratio (UACR) and eGFR levels and brain atrophy and WMLV in a large-scale community-dwelling older population of Japanese. Study Design Population-based cross-sectional study. Setting & Participants A total of 8,630 dementia-free community-dwelling Japanese aged greater than or equal to 65 years underwent brain magnetic resonance imaging scanning and screening examination of health status in 2016-2018. Exposures UACR and eGFR levels. Outcomes The total brain volume (TBV)-to-intracranial volume (ICV) ratio (TBV/ICV), the regional brain volume-to-TBV ratio, and the WMLV-to-ICV ratio (WMLV/ICV). Analytical Approach The associations of UACR and eGFR levels with the TBV/ICV, the regional brain volume-to-TBV ratio, and the WMLV/ICV were assessed by using an analysis of covariance. Results Higher UACR levels were significantly associated with lower TBV/ICV and higher geometric mean values of the WMLV/ICV (P for trend = 0.009 and <0.001, respectively). Lower eGFR levels were significantly associated with lower TBV/ICV, but not clearly associated with WMLV/ICV. In addition, higher UACR levels, but not lower eGFR, were significantly associated with lower temporal cortex volume-to-TBV ratio and lower hippocampal volume-to-TBV ratio. Limitations Cross-sectional study, misclassification of UACR or eGFR levels, generalizability to other ethnicities and younger populations, and residual confounding factors. Conclusions The present study demonstrated that higher UACR was associated with brain atrophy, especially in the temporal cortex and hippocampus, and with increased WMLV. These findings suggest that chronic kidney disease is involved in the progression of morphologic brain changes associated with cognitive impairment.
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Affiliation(s)
- Kenji Maki
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoki Hirabayashi
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Takanori Honda
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Satoko Sakata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masato Akiyama
- Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keisuke Yamasaki
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takanari Kitazono
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tatsuya Mikami
- Department of Preemptive Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Nakashima
- National Hospital Organization, Matsue Medical Center, Shimane, Japan
| | - Jun-Ichi Iga
- Department of Neuropsychiatry, Ehime University Graduate School of Medicine, Ehime University, Ehime, Japan
| | - Minoru Takebayashi
- Faculty of Life Sciences, Department of Neuropsychiatry, Kumamoto University, Kumamoto, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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16
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Nakase T, Tatewaki Y, Thyreau B, Odagiri H, Tomita N, Yamamoto S, Takano Y, Muranaka M, Taki Y. Impact of atrial fibrillation on the cognitive decline in Alzheimer's disease. Alzheimers Res Ther 2023; 15:15. [PMID: 36635728 PMCID: PMC9838038 DOI: 10.1186/s13195-023-01165-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/08/2023] [Indexed: 01/14/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) is a strong risk factor for Alzheimer's disease (AD) independent of ischemic stroke. However, the clinicopathological impact of AF on the severity of AD has not been well elucidated. We aimed to investigate the clinical differences between dementia patients with AF and those without AF by means of imaging data. METHODS Following approval from the institutional ethics committee, patients with newly diagnosed AD or amnestic mild cognitive impairment (aMCI) were retrospectively screened (n = 170, 79.5 ± 7.4 years old). Cognitive function was assessed using the Mini-Mental State Examination (MMSE). Based on the MRI data, the cerebral volume, cerebral microbleeds (CMBs), periventricular white matter lesions (WMLs), and deep WMLs were evaluated. The regional cerebral blood flow (rCBF) was measured using 123I-IMP SPECT. RESULTS Of the patients, 14 (8.2%) and 156 (91.8%) had AF (AF group) and sinus rhythm (SR group), respectively. The AF group had significantly lower MMSE scores than the SR group (average [standard deviation (SD)]: 19.4 [4.4] and 22.0 [4.4], respectively; p = 0.0347). Cerebral volume and CMBs did not differ between the two groups. The periventricular WMLs, but not the deep WMLs, were significantly larger in the AF group than in the SR group (mean [SD] mL: 6.85 [3.78] and 4.37 [3.21], respectively; p = 0.0070). However, there was no significant difference in rCBF in the areas related to AD pathology between the two groups. CONCLUSION AD and aMCI patients with AF showed worse cognitive decline along with larger periventricular WMLs compared to those with SR, although the reduction of rCBF was not different between patients with AF and SR. The white matter lesions may be a more important pathology than the impairment of cerebral blood flow in dementia patients with AF. A larger study is needed to confirm our findings in the future.
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Affiliation(s)
- Taizen Nakase
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan ,grid.69566.3a0000 0001 2248 6943Smart Aging Research Center, Tohoku University, Sendai, Japan
| | - Yasuko Tatewaki
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan
| | - Benjamin Thyreau
- grid.69566.3a0000 0001 2248 6943Smart Aging Research Center, Tohoku University, Sendai, Japan
| | - Hayato Odagiri
- grid.412757.20000 0004 0641 778XDivision of Radiology, Tohoku University Hospital, Sendai, Japan
| | - Naoki Tomita
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan
| | - Shuzo Yamamoto
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan
| | - Yumi Takano
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan
| | - Michiho Muranaka
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan
| | - Yasuyuki Taki
- grid.69566.3a0000 0001 2248 6943Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo Machi, Sendai, Miyagi 980-8575 Japan ,grid.69566.3a0000 0001 2248 6943Smart Aging Research Center, Tohoku University, Sendai, Japan
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17
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Nakase T, Tatewaki Y, Matsudaira I, Kobayashi K, Iki H, Asaoka H, Ekayantri R, Muranaka M, Murata H, Mutoh T, Taki Y. Efficacy of a mixture of Ginkgo biloba, sesame, and turmeric on cognitive function in healthy adults: Study protocol for a randomized, double-blind, placebo-controlled trial. PLoS One 2023; 18:e0280549. [PMID: 36921003 PMCID: PMC10016651 DOI: 10.1371/journal.pone.0280549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 11/25/2022] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND AND PURPOSE Ginkgo biloba extract (GBE) reportedly ameliorates cognitive function in patients with chronic cerebrovascular insufficiency. However, its efficacy in healthy adults is ambiguous. It was reported that concentrations of terpene lactones, active components of GBE that are present in very low concentrations in the brain, were significantly increased following administration of a mixture of GBE, sesame seed, and turmeric (GBE/MST) in mice. This study aims to investigate the effectiveness of GBE/MST on the cognitive function of healthy adults by comparing it with that of GBE alone. METHODS Altogether, 159 participants providing informed consent will be recruited from a population of healthy adults aged 20-64 years. Normal cognitive function at baseline will be confirmed using the Japanese version of the Montreal Cognitive Assessment battery. Participants will be randomly assigned in a double-blind manner to the GBE/MST, GBE, and placebo groups in a 1:1:1 ratio. The Wechsler Memory Scale, Trail Making Test, and Stroop Color and Word Test will be used to assess the memory and executive functions at baseline and at the endpoint (24 weeks). For biological assessment, resting state functional magnetic resonance imaging (rs-fMRI) will be performed simultaneously with the neuropsychological tests. DISCUSSION This study aims to obtain data that can help compare the profile changes in memory and executive functions among participants consuming GBE/MST, GBE alone, and placebo for 24 weeks. Alterations in the default mode network will be evaluated by comparing the rs-fMRI findings between baseline and 24 weeks in the aforementioned groups. Our results may clarify the impact of GBE on cognitive function and the functional mechanism behind altered cognitive function induced by GBE components. TRIAL REGISTRATION This study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN-CTR; registration number: UMIN000043494). This information can be searched on the website of the International Clinical Trials Registry Platform Search Portal of the World Health Organization under the Japan Primary Registries Network.
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Affiliation(s)
- Taizen Nakase
- Smart Aging Research Center, Tohoku University, Sendai, Japan
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- * E-mail:
| | - Yasuko Tatewaki
- Smart Aging Research Center, Tohoku University, Sendai, Japan
| | - Izumi Matsudaira
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kouki Kobayashi
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hikari Iki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Haruka Asaoka
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Radiztia Ekayantri
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Michiho Muranaka
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hiroyuki Murata
- Tohoku University Knowledge Cast Company Ltd., Sendai, Japan
| | - Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Smart Aging Research Center, Tohoku University, Sendai, Japan
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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18
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Zhang Y, Tatewaki Y, Liu Y, Tomita N, Takano Y, Nakase T, Mutoh T, Taki Y. PERCEIVED SOCIAL ISOLATION IS CORRELATED WITH BRAIN STRUCTURE AND COGNITIVE TRAJECTORY IN ALZHEIMER’S DISEASE. Innov Aging 2022. [PMCID: PMC9766983 DOI: 10.1093/geroni/igac059.2797] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Perceived social isolation was associated with future cognitive decline and increase risk of Alzheimer’s disease (AD). However, the impacts of perceived social isolation depending on different clinical stages of AD have not been elucidated. This study was to investigate the influence of perceived social isolation, or loneliness on brain structure and future cognitive trajectories in patients who are living with or are at risk for AD. 176 patients (mean age of 78 years, 39 subjective cognitive decline [SCD], 53 mild cognitive impairment [MCI], 84 AD) underwent structural MRI and neuropsychological testing. Loneliness was measured by one binary item question “Do you often feel lonely?”. Voxel-based morphometry was conducted to evaluate regional gray matter volume (rGMV) difference associated with loneliness in each group. Subgroup analysis was performed in 51 patients with AD (n=23) and pre-dementia status (SCD-MCI, n=28) using the longitudinal scores of Alzheimer’s Disease Assessment Scale-cognitive component-Japanese version (ADAS-Jcog). Whole brain VBM analysis comparing lonely to non-lonely patients revealed loneliness was associated with decreased rGMV in bilateral thalamus in SCD patients, and in the left middle occipital gyrus and the cerebellar vermal lobules Ⅰ-Ⅴ in MCI patients. Annual change of ADAS-Jcog in patients who reported loneliness was significantly greater comparing to these non-lonely in SCD-MCI group, but not in AD group. Our results indicate that perceived social isolation, or loneliness, might be a comorbid symptom of patients with SCD or MCI, which make them more vulnerable to the neuropathology of future AD progression.
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Affiliation(s)
- Ye Zhang
- Tohoku University, Sendai, Miyagi, Japan
| | - Yasuko Tatewaki
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
| | - Yingxu Liu
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
| | - Naoki Tomita
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
| | - Yumi Takano
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
| | - Taizen Nakase
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
| | - Tatsushi Mutoh
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
| | - Yasuyuki Taki
- Institute of Development, Aging and Cancer, Tohoku University, Sendai, Miyagi, Japan
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19
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Liu Y, Tatewaki Y, Thyreau B, Liu Y, Zhang Y, Karalija N, Boraxbekk CJ, Taki Y. WOMEN AT RISK: SOCIOECONOMIC STATUS, LIFESTYLE FACTORS, AND BRAIN VULNERABILITY AMONG JAPANESE AND SWEDISH FEMALE. Innov Aging 2022. [DOI: 10.1093/geroni/igac059.2909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Abstract
Background
While multiple modifiable lifestyle factors and disease management have been highlighted for preventing dementia and ameliorating neurodegeneration, women and the disadvantaged socioeconomic status (SES) population still bear disproportionate burdens. Objective: Investigate and compare the potential pathways of SES, lifestyle factors, imaging biomarkers, and cognition in two community dwelling cohorts in Japan and Sweden. Subjects: The Kumamoto Cohort included 576 cognitively healthy females (73.66 ± 5.96 years); the Betula Cohort included 195 cognitively healthy females (63.91 ± 13.41 years).
Methods
We constructed structural equational modeling by lifestyle factors including exercise, social activity, sleep, drinking, and smoking status; disease conditions included obesity, diabetes, hypertension, and depressive disorder; brain imaging biomarkers included regional gay matter volume (GMV) and cortical thickness obtained from T1 weighted magnetic resonance imaging scans and global cognition score. We also examined SES-related gray matter volume and cortical thickness map locations at the whole brain level.
Results
SES was positively associated with GMV of limbic lobe (not cortical thickness), Kumamoto Cohort: standardized direct β =0.21 (0.13;0.28); Betula Cohort: standardized direct β =0.27 (0.13; 0.41). This SES-GMV association was mediated by disease conditions and lifestyle in Kumamoto Cohort: indirect β =-0.013 (0.001; 0.054). We also found several regions, including the medial frontal gyrus, superior frontal gyrus, hippocampus, and thalamus, were commonly sensitive to SES status in two cohorts. Conclusions: Although the observational nature of the study precludes proof of causality, our findings suggest that promoting disease management is crucial to tackling the neurodegeneration burden in the female facing SES disparities.
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Affiliation(s)
- Yingxu Liu
- Institute of Development, Aging and Cancer, Tohoku University , Sendai, Miyagi , Japan
| | - Yasuko Tatewaki
- Institute of Development, Aging and Cancer, Tohoku University , Sendai, Miyagi , Japan
| | - Benjamin Thyreau
- Institute of Development, Aging and Cancer, Tohoku University , Sendai, Miyagi , Japan
| | | | - Ye Zhang
- Tohoku University , Sendai, Miyagi , Japan
| | | | | | - Yasuyuki Taki
- Institute of Development, Aging and Cancer, Tohoku University , Sendai, Miyagi , Japan
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20
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Yokota S, Takeuchi H, Asano K, Asano M, Sassa Y, Taki Y, Kawashima R. Sex interaction of white matter microstructure and verbal IQ in corpus callosum in typically developing children and adolescents. Brain Dev 2022; 44:531-539. [PMID: 35489976 DOI: 10.1016/j.braindev.2022.04.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/24/2022] [Accepted: 04/10/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Childhood is an extremely important time for neural development that has a critical role in human intelligence. Efficient information processing is crucial for higher intelligence, so the intra- or inter-hemispheric interaction is vital. However, the relationship between neuroanatomical connections and intelligence in typically developing children, as well as sex differences in this relationship, remains unknown. METHODS Participants were 253 typically developing children (121 boys and 132 girls) aged 5-18. We acquired diffusion tensor imaging data and intelligence using an age-appropriate version of the IQ test; Wechsler Intelligence Scale for Children (WISC) or Wechsler Adult Intelligence Scale (WAIS). We conducted whole-brain multiple regression analysis to investigate the association between fractional anisotropy (FA), which reflects white matter microstructural properties, and each composite score of IQ test (full-scale IQ, performance IQ, and verbal IQ). RESULTS FA was positively correlated with full-scale IQ in bilateral inferior occipitofrontal fasciculus, genu, and splenium of corpus callosum (CC). FA in the right superior longitudinal fasciculus, bilateral inferior longitudinal fasciculus, and splenium of CC were also positively correlated with performance IQ. Furthermore, we found significant sex interaction between FA in the CC and verbal IQ. FA was positively correlated in boys, and negatively correlated in girls. CONCLUSION Results suggest that efficient anatomical connectivity between parietal and frontal regions is crucial for children's intelligence. Moreover, inter-hemispheric connections play a critical role in verbal abilities in boys.
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Affiliation(s)
- Susumu Yokota
- Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Asano
- Kokoro Research Center, Kyoto University, Kyoto, Japan
| | - Michiko Asano
- Department of Child and Adolescent Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan; Department of Nuclear Medicine & Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan; Smart Ageing International Research Centre, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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21
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Nakase T, Tatewaki Y, Thyreau B, Mutoh T, Tomita N, Yamamoto S, Takano Y, Muranaka M, Taki Y. Impact of constipation on progression of Alzheimer's disease: A retrospective study. CNS Neurosci Ther 2022; 28:1964-1973. [PMID: 35934956 PMCID: PMC9627372 DOI: 10.1111/cns.13940] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 07/26/2022] [Accepted: 07/27/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND AND PURPOSE In terms of the gut-brain axis, constipation has been considered to be an important factor of neurodegenerative diseases, although the exact mechanism is still controversial. Herein, we aimed to investigate the contribution of constipation to the progression of dementia in a retrospective study. METHODS Patients of Alzheimer's disease(AD) and amnestic mild cognitive impairment were consecutively screened between January 2015 and December 2020, and those of whom brain MRI and neuropsychological tests were performed twice were enrolled in this study. Participants were classified into with constipation (Cons[+], n = 20) and without constipation (Cons[-], n = 64) groups. Laboratory data at the first visit were used. Regression analysis was performed in MMSE, ADAS-Cog, and the volumes of hippocampus on MRI-MPRAGE images and deep white matter lesions (DWMLs) on MRI-FLAIR images obtained at two different time points. RESULTS The main finding was that the Cons[+] group showed 2.7 times faster decline in cognitive impairment compared with the Cons[-] group, that is, the liner coefficients of ADAS-Cog were 2.3544 points/year in the Cons[+] and 0.8592 points/year in the Cons[-] groups. Ancillary, changes of DWMLs showed significant correlation with the time span (p < 0.01), and the liner coefficients of DWMLs were 24.48 ml/year in the Cons[+] and 14.83 ml/year in the Cons[-] group, although annual rate of hippocampal atrophy was not different between the two groups. Moreover, serum homocysteine level at baseline was significantly higher in the Cons[+] group than Cons[-] group (14.6 ± 6.4 and 11.5 ± 4.2 nmol/ml, respectively: p = 0.03). CONCLUSION There is a significant correlation between constipation and faster progression of AD symptoms along with expansion of DWMLs.
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Affiliation(s)
- Taizen Nakase
- Smart Aging Research CenterTohoku UniversitySendaiJapan,Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | | | - Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Naoki Tomita
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Shuzo Yamamoto
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Yumi Takano
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Michiho Muranaka
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
| | - Yasuyuki Taki
- Smart Aging Research CenterTohoku UniversitySendaiJapan,Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and CancerTohoku UniversitySendaiJapan
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22
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Noguchi-Shinohara M, Ono K, Yuki-Nozaki S, Iwasa K, Yokogawa M, Komai K, Thyreau B, Tatewaki Y, Taki Y, Shibata M, Ohara T, Hata J, Ninomiya T, Yamada M. Association of the prefrailty with global brain atrophy and white matter lesions among cognitively unimpaired older adults: the Nakajima study. Sci Rep 2022; 12:12129. [PMID: 35915130 PMCID: PMC9343640 DOI: 10.1038/s41598-022-16190-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 07/06/2022] [Indexed: 11/24/2022] Open
Abstract
Physical frailty has been associated with adverse outcomes such as dementia. However, the underlying structural brain abnormalities of physical frailty are unclear. We investigated the relationship between physical frailty and structural brain abnormalities in 670 cognitively unimpaired individuals (mean age 70.1 years). Total brain volume (TBV), hippocampal volume (HV), total white matter hypointensities volume (WMHV), and estimated total intracranial volume (eTIV) on the 3D T1-weighted images were automatically computed using FreeSurfer software. Participants were divided into two states of physical frailty (robust vs. prefrail) based on the revised Japanese version of the Cardiovascular Health Study criteria. The multivariable-adjusted mean values of the TBV-to-eTIV ratio was significantly decreased, whereas that of the WMHV-to-eTIV ratio was significantly increased in the prefrail group compared with the robust group. Slowness, one of the components of physical frailty, was significantly associated with reduced TBV-to-eTIV and HV-to-eTIV ratios, and slowness and weakness were significantly associated with an increased WMHV-to-eTIV ratio. Our results suggest that the prefrail state is significantly associated with global brain atrophy and white matter hypointensities. Furthermore, slowness was significantly associated with hippocampal atrophy.
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Affiliation(s)
- Moeko Noguchi-Shinohara
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan. .,Department of Preemptive Medicine for Dementia, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan.
| | - Sohshi Yuki-Nozaki
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan
| | - Kazuo Iwasa
- Department of Health and Medical Sciences, Ishikawa Prefectural Nursing University, Kahoku, Japan
| | - Masami Yokogawa
- Division of Health Sciences, Department of Physical Therapy, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Kiyonobu Komai
- Department of Neurology, Hokuriku Brain and Neuromuscular Disease Center, National Hospital Organization Iou National Hospital, Kanazawa, Japan
| | - Benjamin Thyreau
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Mao Shibata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyusyu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masahito Yamada
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, 13-1 Takara-machi, Kanazawa, 920-8640, Japan.,Kudanzaka Hospital, Tokyo, Japan
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23
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Takeuchi H, Shiota Y, Yaoi K, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Magistro D, Sassa Y, Kawashima R. Mercury levels in hair are associated with reduced neurobehavioral performance and altered brain structures in young adults. Commun Biol 2022; 5:529. [PMID: 35655003 PMCID: PMC9163068 DOI: 10.1038/s42003-022-03464-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 05/09/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractThe detrimental effects of high-level mercury exposure on the central nervous system as well as effects of low-level exposure during early development have been established. However, no previous studies have investigated the effects of mercury level on brain morphometry using advance imaging techniques in young adults. Here, utilizing hair analysis which has been advocated as a method for biological monitoring, data of regional gray matter volume (rGMV), regional white matter volume (rWMV), fractional anisotropy (FA) and mean diffusivity (MD), cognitive functions, and depression among 920 healthy young adults in Japan, we showed that greater hair mercury levels were weakly but significantly associated with diminished cognitive performance, particularly on tasks requiring rapid processing (speed measures), lower depressive tendency, lower rGMV in areas of the thalamus and hippocampus, lower rWMV in widespread areas, greater FA in bilaterally distributed white matter areas overlapping with areas of significant rWMV reductions and lower MD of the widely distributed gray and white matter areas particularly in the bilateral frontal lobe and the right basal ganglia. These results suggest that even normal mercury exposure levels in Japan are weakly associated with differences of brain structures and lower neurobehavioral performance and altered mood among young adults.
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Takeuchi H, Tomita H, Taki Y, Kikuchi Y, Ono Tanaka C, Yu Z, Matsudaira I, Nouchi R, Imanishi T, Kawashima R. A psychiatric disorder risk polymorphism of ITIH3 is associated with multiple neuroimaging phenotypes in young healthy adults. Psychiatry Clin Neurosci 2022; 76:271-273. [PMID: 35261121 DOI: 10.1111/pcn.13347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/26/2022] [Accepted: 03/03/2022] [Indexed: 11/27/2022]
Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Chiaki Ono Tanaka
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Izumi Matsudaira
- Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Department of Cognitive Health Science, IDAC, Tohoku University, Sendai, Japan.,Smart Aging Research Center, Tohoku Univeristy, Tohoku University, Sendai, Japan
| | - Tadashi Imanishi
- Biomedical Informatics Laboratory, Department of Molecular Life Science, Tokai University School of Medicine, Tokyo, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Cognitive Health Science, IDAC, Tohoku University, Sendai, Japan.,Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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25
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Zhang Y, Tatewaki Y, Liu Y, Tomita N, Nagasaka T, Muranaka M, Yamamoto S, Takano Y, Nakase T, Mutoh T, Taki Y. Perceived social isolation is correlated with brain structure and cognitive trajectory in Alzheimer’s disease. GeroScience 2022; 44:1563-1574. [PMID: 35526259 PMCID: PMC9079214 DOI: 10.1007/s11357-022-00584-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/02/2022] [Indexed: 11/24/2022] Open
Abstract
Both objective and perceived social isolations were associated with future cognitive decline and increase risk of Alzheimer’s disease (AD). However, the impacts of perceived social isolation depending on different clinical stages of AD have not been elucidated. The aim of this study was to investigate the influence of perceived social isolation or loneliness on brain structure and future cognitive trajectories in patients who are living with or are at risk for AD. A total of 176 elderly patients (mean age of 78 years) who had complaint of memory problems (39 subjective cognitive decline [SCD], 53 mild cognitive impairment [MCI], 84 AD) underwent structural MRI and neuropsychological testing. Loneliness was measured by one binary item question “Do you often feel lonely?.” Voxel-based morphometry was conducted to evaluate regional gray matter volume (rGMV) difference associated with loneliness in each group. To evaluate individual differences in cognitive trajectories based on loneliness, subgroup analysis was performed in 51 patients with AD (n = 23) and pre-dementia status (SCD-MCI, n = 28) using the longitudinal scores of Alzheimer’s Disease Assessment Scale-cognitive component-Japanese version (ADAS-Jcog). Whole brain VBM analysis comparing lonely to non-lonely patients revealed loneliness was associated with decreased rGMV in bilateral thalamus in SCD patients and in the left middle occipital gyrus and the cerebellar vermal lobules I − V in MCI patients. Annual change of ADAS-Jcog in patients who reported loneliness was significantly greater comparing to these non-lonely in SCD-MCI group, but not in AD group. Our results indicate that perceived social isolation, or loneliness, might be a comorbid symptom of patients with SCD or MCI, which makes them more vulnerable to the neuropathology of future AD progression.
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Affiliation(s)
- Ye Zhang
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Yingxu Liu
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Naoki Tomita
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Tatsuo Nagasaka
- Division of Radiology, Tohoku University Hospital, Sendai, 980-8574, Japan
| | - Michiho Muranaka
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Shuzo Yamamoto
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Yumi Takano
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Taizen Nakase
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan.
- Department of Surgical Neurology, Research Institute for Brain and Blood Vessels-AKITA, Akita, 010-0874, Japan.
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
- Smart-Aging Research Center, Tohoku University, Aoba-ku, Sendai, 980-8575, Japan
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Thyreau B, Tatewaki Y, Chen L, Takano Y, Hirabayashi N, Furuta Y, Hata J, Nakaji S, Maeda T, Noguchi‐Shinohara M, Mimura M, Nakashima K, Mori T, Takebayashi M, Ninomiya T, Taki Y. Higher-resolution quantification of white matter hypointensities by large-scale transfer learning from 2D images on the JPSC-AD cohort. Hum Brain Mapp 2022; 43:3998-4012. [PMID: 35524684 PMCID: PMC9374893 DOI: 10.1002/hbm.25899] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 03/24/2022] [Accepted: 04/20/2022] [Indexed: 12/14/2022] Open
Abstract
White matter lesions (WML) commonly occur in older brains and are quantifiable on MRI, often used as a biomarker in Aging research. Although algorithms are regularly proposed that identify these lesions from T2‐fluid‐attenuated inversion recovery (FLAIR) sequences, none so far can estimate lesions directly from T1‐weighted images with acceptable accuracy. Since 3D T1 is a polyvalent and higher‐resolution sequence, it could be beneficial to obtain the distribution of WML directly from it. However a serious difficulty, both for algorithms and human, can be found in the ambiguities of brain signal intensity in T1 images. This manuscript shows that a cross‐domain ConvNet (Convolutional Neural Network) approach can help solve this problem. Still, this is non‐trivial, as it would appear to require a large and varied dataset (for robustness) labelled at the same high resolution (for spatial accuracy). Instead, our model was taught from two‐dimensional FLAIR images with a loss function designed to handle the super‐resolution need. And crucially, we leveraged a very large training set for this task, the recently assembled, multi‐sites Japan Prospective Studies Collaboration for Aging and Dementia (JPSC‐AD) cohort. We describe the two‐step procedure that we followed to handle such a large number of imperfectly labeled samples. A large‐scale accuracy evaluation conducted against FreeSurfer 7, and a further visual expert rating revealed that WML segmentation from our ConvNet was consistently better. Finally, we made a directly usable software program based on that trained ConvNet model, available at https://github.com/bthyreau/deep-T1-WMH.
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Affiliation(s)
- Benjamin Thyreau
- Smart‐Aging Research Center, Institute of Development, Aging, and CancerTohoku UniversitySendaiJapan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and CancerTohoku UniversitySendaiJapan
- Department of Geriatric Medicine and NeuroimagingTohoku University HospitalSendaiJapan
| | - Liying Chen
- Smart‐Aging Research Center, Institute of Development, Aging, and CancerTohoku UniversitySendaiJapan
| | - Yuji Takano
- Smart‐Aging Research Center, Institute of Development, Aging, and CancerTohoku UniversitySendaiJapan
- Department of Psychological SciencesUniversity of Human EnvironmentsMatsuyamaJapan
| | - Naoki Hirabayashi
- Department of Epidemiology and Public Health, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Yoshihiko Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of MedicineHirosaki UniversityHirosakiJapan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of MedicineIwate Medical UniversityIwateJapan
| | - Moeko Noguchi‐Shinohara
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical SciencesKanazawa UniversityKanazawaJapan
| | | | - Kenji Nakashima
- National Hospital Organization, Matsue Medical CenterShimaneJapan
| | - Takaaki Mori
- Department of Neuropsychiatry, Ehime University Graduate School of MedicineEhime UniversityEhimeJapan
| | - Minoru Takebayashi
- Faculty of Life Sciences, Department of NeuropsychiatryKumamoto UniversityKumamotoJapan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Yasuyuki Taki
- Smart‐Aging Research Center, Institute of Development, Aging, and CancerTohoku UniversitySendaiJapan
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging, and CancerTohoku UniversitySendaiJapan
- Department of Geriatric Medicine and NeuroimagingTohoku University HospitalSendaiJapan
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27
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Yamaguchi R, Matsudaira I, Takeuchi H, Imanishi T, Kimura R, Tomita H, Kawashima R, Taki Y. RELN rs7341475 associates with brain structure in japanese healthy females. Neuroscience 2022; 494:38-50. [DOI: 10.1016/j.neuroscience.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 04/06/2022] [Accepted: 05/06/2022] [Indexed: 11/25/2022]
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28
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Liu Y, Zhang Y, Thyreau B, Tatewaki Y, Matsudaira I, Takano Y, Hirabayashi N, Furuta Y, Jun H, Ninomiya T, Taki Y. Altruistic Social Activity, Depressive Symptoms, and Brain Regional Gray Matter Volume: Voxel-Based Morphometry Analysis from 8695 Old Adults. J Gerontol A Biol Sci Med Sci 2022; 77:1789-1797. [PMID: 35443061 DOI: 10.1093/gerona/glac093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Indexed: 11/14/2022] Open
Abstract
Altruistic social activity, such as giving support to others, has shown protective benefits on dementia risk and cognitive decline. However, the pathological mechanism is unclear. In the present study, we investigated the association between altruistic social activity and brain regional gray matter. Furthermore, to explore the psychological interplay in altruistic social activity, we tested mediating effect of depressive symptoms on brain regional gray matter. We performed a cross-sectional Voxel-Based Morphology (VBM) analysis including 8695 old adults (72.9±6.1 years) from Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD) Cohort. We measured altruistic social activities by self-report questionnaire, depressive symptoms by Geriatric Depression Scale (GDS)-short version. We employed the whole-brain VBM method to detect relevant structural properties related to altruistic social activity. We then performed multiple regression models to detect the mediating effect of depressive symptoms on particular brain regional gray matter volume while adjusting possible physical and social lifestyle covariables. We found that altruistic social activity is associated with larger gray matter volume in posterior insula, middle cingulate gyrus, hippocampus, thalamus, superior temporal gyrus, anterior orbital gyrus, and middle occipital gyrus. Depressive symptoms mediated over 10% on altruistic social activity and hippocampus volume, over 20% on altruistic social activity and cingulate gyrus volume. Our results indicated that altruistic social activity might preserve brain regional gray matter where are sensitive to aging and cognitive decline. Meanwhile, this association may be explained by indirect effect on depressive symptoms, suggesting that altruistic social activity may mitigate the neuropathology of dementia.
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Affiliation(s)
- Yingxu Liu
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ye Zhang
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Benjamin Thyreau
- Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Izumi Matsudaira
- Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuji Takano
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Naoki Hirabayashi
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - YoshihikTo Furuta
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hata Jun
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
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29
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Mutoh T, Kunitoki K, Tatewaki Y, Yamamoto S, Thyreau B, Matsudaira I, Kawashima R, Taki Y. Impact of medium-chain triglycerides on gait performance and brain metabolic network in healthy older adults: a double-blind, randomized controlled study. GeroScience 2022; 44:1325-1338. [PMID: 35380356 DOI: 10.1007/s11357-022-00553-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/21/2022] [Indexed: 12/22/2022] Open
Abstract
Nutritional supplementation with medium-chain triglycerides (MCTs) has the potential to increase memory function in elderly patients with frailty and dementia. Our aim was to investigate the effects of MCT on cognitive and gait functions and their relationships with focal brain metabolism and functional connectivity even in healthy older adults. Participants were blindly randomized and allocated to two groups: 18 g/day of MCT oil and matching placebo formula (control) administered as a jelly stick (6 g/pack, ingested three times a day). Gait analysis during the 6-m walk test, cognition, brain focal glucose metabolism quantified by 18F-fluorodeocyglucose positron emission tomography, and magnetic resonance imaging-based functional connectivity were assessed before and after a 3-month intervention. Sixty-three healthy, normal adults (females and males) were included. Compared with the control group, the MCT group showed better balance ability, as represented by the lower Lissajous index (23.1 ± 14.4 vs. 31.3 ± 18.9; P < 0.01), although no time × group interaction was observed in cognitive and other gait parameters. Moreover, MCT led to suppressed glucose metabolism in the right sensorimotor cortex compared with the control (P < 0.001), which was related to improved balance (r = 0.37; P = 0.04) along with increased functional connectivity from the ipsilateral cerebellar hemisphere. In conclusion, a 3-month MCT supplementation improves walking balance by suppressing glucose metabolism, which suggests the involvement of the cerebro-cerebellar network. This may reflect, at least in part, the inverse reaction of the ketogenic switch as a beneficial effect of long-term MCT dietary treatment.
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Affiliation(s)
- Tatsushi Mutoh
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan. .,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan. .,Department of Neurosurgery, Research Institute for Brain and Blood Vessels-AKITA, Senshu-Kubota-machi, Akita, 010-0874, Japan.
| | - Keiko Kunitoki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan
| | - Yasuko Tatewaki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Shuzo Yamamoto
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan
| | - Benjamin Thyreau
- Smart-Aging Research Center, Tohoku University, Aoba-ku, Sendai, 980-8575, Japan
| | - Izumi Matsudaira
- Smart-Aging Research Center, Tohoku University, Aoba-ku, Sendai, 980-8575, Japan
| | - Ryuta Kawashima
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Aoba-ku, Sendai, 980-8575, Japan
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan. .,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Aoba-ku, Sendai, 980-8575, Japan. .,Smart-Aging Research Center, Tohoku University, Aoba-ku, Sendai, 980-8575, Japan.
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30
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 372] [Impact Index Per Article: 186.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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31
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Shigemoto Y, Matsuda H, Kimura Y, Chiba E, Ohnishi M, Nakaya M, Maikusa N, Ogawa M, Mukai Y, Takahashi Y, Sako K, Toyama H, Inui Y, Taki Y, Nagayama H, Ono K, Kono A, Sekiguchi K, Hirano S, Sato N. Voxel-based analysis of age and gender effects on striatal [ 123I] FP-CIT binding in healthy Japanese adults. Ann Nucl Med 2022; 36:460-467. [PMID: 35174441 DOI: 10.1007/s12149-022-01725-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 02/01/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Although previous studies have investigated age and gender effects on striatal subregional dopamine transporter (DaT) binding, these studies were mostly based on a conventional regions of interest-based analysis. Here, we investigated age and gender effects on striatal DaT binding at the voxel level, using a multicenter database of [(123)I] N-omega-fluoropropyl-2beta-carbomethoxy-3beta-{4-iodophenyl}nortropane ([(123)I] FP-CIT)-single photon emission computed tomography (SPECT) scans in 256 healthy Japanese adults. METHODS We used the Southampton method to calculate the specific binding ratios (SBRs) of each subject's striatum and then converted the [123I] FP-CIT SPECT images to quantitative SBRs images. To investigate the effects of age and gender effects on striatal DaT binding, we performed a voxel-based analysis using statistical parametric mapping. Gender differences were also compared between young to middle-aged subjects and elderly subjects (age threshold: 60 years). RESULTS When all subjects were explored as a group, DaT binding throughout the striatum decreased with advancing age. Among all subjects, the females showed higher DaT binding in the bilateral caudate compared to the males. In the young to middle-aged subjects, the females showed higher DaT binding throughout the striatum (with a slight caudate predominance) versus the males. In the elderly, there were no gender differences in striatal DaT binding. CONCLUSION Our findings of striatal subregional age- and gender-related differences may provide useful information to construct a more detailed DaT database in healthy Japanese subjects.
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Affiliation(s)
- Yoko Shigemoto
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan.,Drug Discovery and Cyclotron Research Center, Southern TOHOKU Research Institute for Neuroscience, Koriyama, 963-8052, Japan
| | - Hiroshi Matsuda
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan. .,Drug Discovery and Cyclotron Research Center, Southern TOHOKU Research Institute for Neuroscience, Koriyama, 963-8052, Japan. .,Southern TOHOKU Research Institute for Neuroscience, Shin-Otemachi Building 6F (621), 2-2-1, Otemachi, Chiyoda-ku, Tokyo, 199-0004, Japan.
| | - Yukio Kimura
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
| | - Emiko Chiba
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
| | - Masahiro Ohnishi
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
| | - Moto Nakaya
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
| | - Norihide Maikusa
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
| | - Masayo Ogawa
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
| | - Yohei Mukai
- Department of Neurology, National Center Hospital of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Yuji Takahashi
- Department of Neurology, National Center Hospital of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kazuya Sako
- Department of Neurology, Nakamura Memorial Hospital, Sapporo, Japan
| | - Hiroshi Toyama
- Department of Radiology, Fujita Health University, Toyoake, Japan
| | - Yoshitaka Inui
- Department of Radiology, Fujita Health University, Toyoake, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hiroshi Nagayama
- Department of Neurology, Graduate School of Medicine, Nippon Medical School Bunkyo-Ku, Tokyo, Japan
| | - Kenjiro Ono
- Division of Neurology, Department of Internal Medicine, Showa University School of Medicine, Tokyo, Japan.,Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Atsushi Kono
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Kenji Sekiguchi
- Division of Neurology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Shigeki Hirano
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Noriko Sato
- Department of Radiology, National Center Hospital of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan
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32
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Miyauchi CM, Takeuchi H, Taki Y, Nakagawa S, Hanawa S, Sekiguchi A, Nouchi R, Sassa Y, Kawashima R. Shame proneness is associated with individual differences in temporal pole white matter structure. Soc Neurosci 2022; 17:117-126. [PMID: 35130823 DOI: 10.1080/17470919.2022.2039287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Shame and guilt are distinct negative moral emotions, although they are usually regarded as overlapping affective experiences. Of these two emotions, shame is more closely related to concerns about other people's judgment, whereas guilt is more related to concerns about one's own judgment. Although some studies have tried to identify the psychological process underlying shame as opposed to guilt, there is no clear evidence of brain regions that are specifically relevant to the experience of shame rather than guilt and, more generally, self-blame. We therefore investigated associations between individual differences in shame- and guilt-proneness and the gray and white matter structures of the brain using magnetic resonance imaging and voxel-based morphometry while controlling for associations with guilt- or shame-proneness. To accomplish this goal, we enrolled 590 healthy, right-handed individuals (338 men and 252 women; age, 20.6 ± 1.8 years). We administered a questionnaire to assess shame proneness and guilt proneness. Based on our hypothesis, we found that high shame proneness was associated with decreased regional white matter density only in the right inferior temporal pole, whereas no significant region was associated with guilt. The function of this area may be important for the underlying processes differentiating shame from guilt.
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Affiliation(s)
- Carlos Makoto Miyauchi
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Smart Aging International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Department of Functional Brain Imaging, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart Aging International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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33
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Thomas M, Savitz J, Zhang Y, Burrows K, Smith R, Figueroa-Hall L, Kuplicki R, Khalsa SS, Taki Y, Teague TK, Irwin MR, Yeh FC, Paulus MP, Zheng H. Elevated Systemic Inflammation Is Associated with Reduced Corticolimbic White Matter Integrity in Depression. Life (Basel) 2021; 12:43. [PMID: 35054436 PMCID: PMC8778940 DOI: 10.3390/life12010043] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/17/2021] [Accepted: 12/22/2021] [Indexed: 12/12/2022] Open
Abstract
(1) Background: Growing evidence indicates that inflammation can induce neural circuit dysfunction and plays a vital role in the pathogenesis of major depressive disorder (MDD). Nevertheless, whether inflammation affects the integrity of white matter pathways is only beginning to be explored. (2) Methods: We computed quantitative anisotropy (QA) from diffusion magnetic resonance imaging as an index of white matter integrity and regressed QA on C-reactive protein (CRP), controlling for age, sex, and BMI, in 176 participants with MDD. (3) Results: The QA values of several white matter tracts were negatively correlated with CRP concentration (standardized beta coefficient = -0.22, 95%CI = -0.38--0.06, FDR < 0.05). These tracts included the bilateral cortico-striatal tracts, thalamic radiations, inferior longitudinal fasciculi, corpus callosum (the forceps minor portion and the tapetum portion), cingulum bundles, and the left superior longitudinal fasciculus III. Importantly, the association remained robust after regressing up to twelve potential confounders. The bilateral fornix and a small portion of the thalamic radiation showed a positive association with CRP levels, but these associations did not remain significant after adjusting for confounders. (4) Conclusions: Peripheral inflammation may contribute to the etiology of MDD by impacting the microstructural integrity of brain corticolimbic white matter pathways.
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Affiliation(s)
- MacGregor Thomas
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
| | - Jonathan Savitz
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK 74119, USA
| | - Ye Zhang
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.Z.); (Y.T.)
| | - Kaiping Burrows
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
| | - Ryan Smith
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
| | - Leandra Figueroa-Hall
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
| | - Sahib S. Khalsa
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
| | - Yasuyuki Taki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan; (Y.Z.); (Y.T.)
- Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai 980-8574, Japan
- Smart-Aging Research Center, Tohoku University, Sendai 980-8575, Japan
| | - Tracy Kent Teague
- Department of Surgery, University of Oklahoma School of Community Medicine, Tulsa, OK 74135, USA;
- Department of Psychiatry, University of Oklahoma School of Community Medicine, Tulsa, OK 74135, USA
- Department of Biochemistry and Microbiology, Oklahoma State University Center for Health Sciences, Tulsa, OK 74107, USA
| | - Michael R. Irwin
- Cousins Center for Psychoneuroimmunology at UCLA, Los Angeles, CA 90095, USA;
- Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, USA
- David Geffen School of Medicine, Los Angeles, CA 90095, USA
| | - Fang-Cheng Yeh
- Department of Neurological Surgery, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA;
| | - Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, OK 74119, USA
| | - Haixia Zheng
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; (M.T.); (J.S.); (K.B.); (R.S.); (L.F.-H.); (R.K.); (S.S.K.); (M.P.P.)
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34
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Ezura M, Kikuchi A, Okamura N, Ishiki A, Hasegawa T, Harada R, Watanuki S, Funaki Y, Hiraoka K, Baba T, Sugeno N, Yoshida S, Kobayashi J, Kobayashi M, Tano O, Ishiyama S, Nakamura T, Nakashima I, Mugikura S, Iwata R, Taki Y, Furukawa K, Arai H, Furumoto S, Tashiro M, Yanai K, Kudo Y, Takeda A, Aoki M. 18F-THK5351 Positron Emission Tomography Imaging in Neurodegenerative Tauopathies. Front Aging Neurosci 2021; 13:761010. [PMID: 34912209 PMCID: PMC8668184 DOI: 10.3389/fnagi.2021.761010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/18/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: We aimed to determine whether in vivo tau deposits and monoamine oxidase B (MAO-B) detection using 18F-THK5351 positron emission tomography (PET) can assist in the differential distribution in patients with corticobasal syndrome (CBS), progressive supranuclear palsy (PSP), and Alzheimer's disease (AD) and whether 18F-THK5351 retention of lesion sites in CBS and PSP can correlate with clinical parameters. Methods: 18F-THK5351 PET was performed in 35 participants, including 7, 9, and 10 patients with CBS, PSP, and AD, respectively, and 9 age-matched normal controls. In CBS and PSP, cognitive and motor functions were assessed using the Montreal Cognitive Assessment, Addenbrooke's Cognitive Examination-Revised, and Frontal Assessment Battery, Unified Parkinson's Disease Rating Scale Motor Score, and PSP Rating Scale. Results: 18F-THK5351 retention was observed in sites susceptible to disease-related pathologies in CBS, PSP, and AD. 18F-THK5351 uptake in the precentral gyrus clearly differentiated patients with CBS from those with PSP and AD. Furthermore, 18F-THK5351 uptake in the inferior temporal gyrus clearly differentiated patients with AD from those with CBS and PSP. Regional 18F-THK5351 retention was associated with the cognitive function in CBS and PSP. Conclusion: Measurement of the tau deposits and MAO-B density in the brain using 18F-THK5351 may be helpful for the differential diagnosis of tauopathies and for understanding disease stages.
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Affiliation(s)
- Michinori Ezura
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Akio Kikuchi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Occupational Therapy, Yamagata Prefectural University of Health Sciences, Yamagata, Japan
| | - Nobuyuki Okamura
- Division of Pharmacology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan.,Department of Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Aiko Ishiki
- Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Community of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Takafumi Hasegawa
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryuichi Harada
- Department of Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shoichi Watanuki
- Division of Cyclotron Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Yoshihito Funaki
- Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Kotaro Hiraoka
- Division of Cyclotron Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Toru Baba
- Department of Neurology, National Hospital Organization Sendai Nishitaga Hospital, Sendai, Japan
| | - Naoto Sugeno
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shun Yoshida
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Junpei Kobayashi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Michiko Kobayashi
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Ohito Tano
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shun Ishiyama
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Takaaki Nakamura
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ichiro Nakashima
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan.,Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Shunji Mugikura
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ren Iwata
- Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Katsutoshi Furukawa
- Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Community of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Hiroyuki Arai
- Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Shozo Furumoto
- Division of Radiopharmaceutical Chemistry, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Manabu Tashiro
- Division of Cyclotron Nuclear Medicine, Cyclotron and Radioisotope Center, Tohoku University, Sendai, Japan
| | - Kazuhiko Yanai
- Department of Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yukitsuka Kudo
- Department of Geriatrics and Gerontology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Takeda
- Department of Neurology, National Hospital Organization Sendai Nishitaga Hospital, Sendai, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
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35
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Takeuchi H, Kimura R, Tomita H, Taki Y, Kikuchi Y, Ono C, Yu Z, Matsudaira I, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Hanawa S, Iizuka K, Sekiguchi A, Araki T, Miyauchi CM, Ikeda S, Sakaki K, Dos S Kawata KH, Nozawa T, Yokota S, Magistro D, Imanishi T, Kawashima R. Polygenic risk score for bipolar disorder associates with divergent thinking and brain structures in the prefrontal cortex. Hum Brain Mapp 2021; 42:6028-6037. [PMID: 34587347 PMCID: PMC8596941 DOI: 10.1002/hbm.25667] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 08/26/2021] [Accepted: 09/13/2021] [Indexed: 11/11/2022] Open
Abstract
It has been hypothesized that a higher genetic risk of bipolar disorder (BD) is associated with greater creativity. Given the clinical importance of bipolar disorder and the importance of creativity to human society and cultural development, it is essential to reveal their associations and the neural basis of the genetic risk of bipolar disorder to gain insight into its etiology. However, despite the previous demonstration of the associations of polygenic risk score (PRS) of BD and creative jobs, the associations of BD‐PRS and creativity measured by the divergent thinking (CMDT) and regional gray matter volume (rGMV) as well as regional white matter volume (rWMV) have not been investigated. Using psychological analyses and whole‐brain voxel‐by‐voxel analyses, we examined these potential associations in 1558 young, typically developing adult students. After adjusting for confounding variables and multiple comparisons, a greater BD‐PRS was associated with a greater total CMDT fluency score, and a significant relationship was found in fluency subscores. A greater BD‐PRS was also associated with lower total mood disturbance. Neuroimaging analyses revealed that the BD‐PRS was associated with greater rGMV in the right inferior frontal gyrus, which is a consistently affected area in BD, as well as a greater rWMV in the left middle frontal gyrus, which has been suggested to play a central role in the increased creativity associated with the risk of BD with creativity. These findings suggest a relationship between the genetic risk of BD and CMDT and prefrontal cortical structures among young educated individuals.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryosuke Kimura
- Department of Human Biology and Anatomy, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Chiaki Ono
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | | | - Rui Nouchi
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | | | - Carlos Makoto Miyauchi
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Takayuki Nozawa
- Research Center Institute for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan
| | - Susumu Yokota
- Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Tadashi Imanishi
- Biomedical Informatics Laboratory, Department of Molecular Life Science, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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36
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Sadeghi S, Takeuchi H, Shalani B, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Magistro D, Sassa Y, Kawashima R. Brain structures and activity during a working memory task associated with internet addiction tendency in young adults: A large sample study. PLoS One 2021; 16:e0259259. [PMID: 34780490 PMCID: PMC8592411 DOI: 10.1371/journal.pone.0259259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 10/15/2021] [Indexed: 11/19/2022] Open
Abstract
The structural and functional brain characteristics associated with the excessive use of the internet have attracted substantial research attention in the past decade. In current study, we used voxel-based morphometry (VBM) and multiple regression analysis to assess the relationship between internet addiction tendency (IAT) score and regional gray and white matter volumes (rGMVs and rWMVs) and brain activity during a WM task in a large sample of healthy young adults (n = 1,154, mean age, 20.71 ± 1.78 years). We found a significant positive correlation between IAT score and gray matter volume (GMV) of right supramarginal gyrus (rSMG) and significant negative correlations with white matter volume (WMV) of right temporal lobe (sub-gyral and superior temporal gyrus), right sublobar area (extra-nuclear and lentiform nucleus), right cerebellar anterior lobe, cerebellar tonsil, right frontal lobe (inferior frontal gyrus and sub-gyral areas), and the pons. Also, IAT was significantly and positively correlated with brain activity in the default-mode network (DMN), medial frontal gyrus, medial part of the superior frontal gyrus, and anterior cingulate cortex during a 2-back working memory (WM) task. Moreover, whole-brain analyses of rGMV showed significant effects of interaction between sex and the IAT scores in the area spreading around the left anterior insula and left lentiform. This interaction was moderated by positive correlation in women. These results indicate that IAT is associated with (a) increased GMV in rSMG, which is involved in phonological processing, (b) decreased WMV in areas of frontal, sublobar, and temporal lobes, which are involved in response inhibition, and (c) reduced task-induced deactivation of the DMN, indicative of altered attentional allocation.
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Affiliation(s)
- Saeid Sadeghi
- Institute for Cognitive and Brain Sciences (ICBS), Shahid Beheshti University, Tehran, Iran
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Center of Excellence in Cognitive Neuropsychology, Shahid Beheshti University, Tehran, Iran
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Bita Shalani
- Department of Psychology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan
- Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan
- Graduate School of Arts and Sciences, Department of General Systems Studies, The University of Tokyo, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division for Experimental Natural Science, Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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Shinada T, Takano Y, Kokubun K, Iki H, Taki Y. Effects of Natural Reduced Water on Cognitive Function, Body Composition, and Psychological Function in Older Adults: Study Protocol for a Randomized Controlled Trial. Methods Protoc 2021; 4:mps4040073. [PMID: 34698243 PMCID: PMC8544515 DOI: 10.3390/mps4040073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/08/2021] [Accepted: 10/11/2021] [Indexed: 11/29/2022] Open
Abstract
Natural reduced water is natural water that contains active hydrogen and reduces oxidation. It is rare in the world, and in Japan, it is produced in the Hita area of Oita Prefecture (Hita Tenryosui water). Previous studies in humans have examined the effects of natural reduced water on diabetes, which is one of the known risks for dementia. Animal studies of natural reduced water have revealed anti-obesity and anti-anxiety effects. However, the effects of natural reduced water on cognitive function, body composition, and psychological function in humans are unknown. Therefore, we investigated the relationship between these items in elderly people who continuously consume natural reduced water. In this study, we recruited participants aged between 65 and 74 years. The participants were randomly and blindly assigned to a natural reduced water (Hita Tenryosui water) group or a control (tap water) group and drank 1 L of water daily for 6 months. Cognitive function, body composition, and psychological function were measured before and after the 6-month intervention period.
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Affiliation(s)
- Takamitsu Shinada
- Smart-Aging Research Center, Tohoku University, 4-1 Seiryo-Machi, Aoba-ku, Sendai 980-8575, Japan; (Y.T.); (K.K.); (Y.T.)
- Correspondence: ; Tel.: +81-22-717-8824
| | - Yuji Takano
- Smart-Aging Research Center, Tohoku University, 4-1 Seiryo-Machi, Aoba-ku, Sendai 980-8575, Japan; (Y.T.); (K.K.); (Y.T.)
- Department of Psychology, University of Human Environments, Matsuyama, Ehime 790-0825, Japan
| | - Keisuke Kokubun
- Smart-Aging Research Center, Tohoku University, 4-1 Seiryo-Machi, Aoba-ku, Sendai 980-8575, Japan; (Y.T.); (K.K.); (Y.T.)
| | - Hikari Iki
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-Machi, Aoba-ku, Sendai 980-8575, Japan;
| | - Yasuyuki Taki
- Smart-Aging Research Center, Tohoku University, 4-1 Seiryo-Machi, Aoba-ku, Sendai 980-8575, Japan; (Y.T.); (K.K.); (Y.T.)
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-Machi, Aoba-ku, Sendai 980-8575, Japan;
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38
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Shiota Y, Matsudaira I, Takeuchi H, Ono C, Tomita H, Kawashima R, Taki Y. The influence of NRXN1 on systemizing and the brain structure in healthy adults. Brain Imaging Behav 2021; 16:692-701. [PMID: 34529206 DOI: 10.1007/s11682-021-00530-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2021] [Indexed: 11/24/2022]
Abstract
Certain behavioral characteristics of autism spectrum disorder can be found in otherwise healthy people. Individuals with difficulties in social adaptation may have subclinical autistic traits; however, effective biomarkers of these traits have not yet been established. There is a dire need for objective indices of these traits that combine behavior, brain images, and genetic information. In this study, we examined the association among a single nucleotide polymorphism of NRXN1 (rs858932; C/G), autistic traits, and brain structure in 311 healthy adults. We found that carriers of minor alleles (carriers of the G-allele) had significantly higher systemizing scores than major-allele (C-allele) homozygotes. Furthermore, the regional white matter volume in the right anterior limb of the internal capsule was significantly greater in carriers of the G-allele than in C-allele homozygotes. To the best of our knowledge, this is the first report of NRXN1 rs858932 being involved in systemizing and the brain structure of healthy adults. Our findings provide insight into the effects of genetics on autistic traits and their respective neural substrates.
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Affiliation(s)
- Yuka Shiota
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Izumi Matsudaira
- Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Chiaki Ono
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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39
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Daniele M, Sassa Y, Kawashima R. Lead exposure is associated with functional and microstructural changes in the healthy human brain. Commun Biol 2021; 4:912. [PMID: 34312468 PMCID: PMC8313694 DOI: 10.1038/s42003-021-02435-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 07/06/2021] [Indexed: 02/07/2023] Open
Abstract
Lead is a toxin known to harm many organs in the body, particularly the central nervous system, across an individual's lifespan. To date, no study has yet investigated the associations between body lead level and the microstructural properties of gray matter areas, and brain activity during attention-demanding tasks. Here, utilizing data of diffusion tensor imaging, functional magnetic resonance imaging and cognitive measures among 920 typically developing young adults, we show greater hair lead levels are weakly but significantly associated with (a) increased working memory-related activity in the right premotor and pre-supplemental motor areas, (b) lower fractional anisotropy (FA) in white matter areas near the internal capsule, (c) lower mean diffusivity (MD) in the dopaminergic system in the left hemisphere and other widespread contingent areas, and (d) greater MD in the white matter area adjacent to the right fusiform gyrus. Higher lead levels were also weakly but significantly associated with lower performance in tests of high-order cognitive functions, such as the psychometric intelligence test, greater impulsivity measures, and higher novelty seeking and extraversion. These findings reflect the weak effect of daily lead level on the excitability and microstructural properties of the brain, particularly in the dopaminergic system.
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Affiliation(s)
- Hikaru Takeuchi
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- grid.69566.3a0000 0001 2248 6943Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryoichi Yokoyama
- grid.31432.370000 0001 1092 3077School of Medicine, Kobe University, Kobe, Japan
| | - Yuka Kotozaki
- grid.411582.b0000 0001 1017 9540Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- grid.69566.3a0000 0001 2248 6943Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.412755.00000 0001 2166 7427Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- grid.69566.3a0000 0001 2248 6943Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan ,grid.419280.60000 0004 1763 8916Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- grid.69566.3a0000 0001 2248 6943Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- grid.69566.3a0000 0001 2248 6943Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- grid.32197.3e0000 0001 2179 2105Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- grid.69566.3a0000 0001 2248 6943Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susum Yokota
- grid.177174.30000 0001 2242 4849Division for Experimental Natural Science, Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Magistro Daniele
- grid.12361.370000 0001 0727 0669Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Yuko Sassa
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- grid.69566.3a0000 0001 2248 6943Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan ,grid.69566.3a0000 0001 2248 6943Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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40
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Takeuchi H, Maruyama T, Taki Y, Motoki K, Jeong H, Kotozaki Y, Shinada T, Nakagawa S, Nouchi R, Iizuka K, Yokoyama R, Yamamoto Y, Hanawa S, Araki T, Sakaki K, Sasaki Y, Magistro D, Kawashima R. Effects of training of shadowing and reading aloud of second language on working memory and neural systems. Brain Imaging Behav 2021; 15:1253-1269. [PMID: 32705465 PMCID: PMC8286220 DOI: 10.1007/s11682-020-00324-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Shadowing and reading aloud both involve multiple complex cognitive processes, and both are considered effective methods for second-language learning. The working memory system, particularly the phonological loop, has been suggested to be involved in shadowing and reading aloud. The purpose of this study was to investigate the effects of a 4-week intensive adaptive training including shadowing and reading aloud of second language on working-memory capacity, regional gray matter volume (rGMV), and functional activation related to the n-back working-memory task in young adults. The results showed that compared with the training groups without speaking (listening to compressed speech and active control involving the second language), the training groups with speaking (shadowing and reading aloud) showed a tendency for greater test-retest increases in digit-span scores, and significantly greater test-retest decreases in N-back task reaction time (increase in working memory performance). Imaging analyses revealed compared with the active control group, shadowing group exhibited decreases in rGMV and brain activity during the working memory task (2-back task), in the left cerebellum and reading group exhibited decreases in them in the right anterior insula. These regions are parts of the phonological loop, suggesting the presence of training-induced neural plasticity in these neurocognitive mechanisms.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4 - 1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
| | | | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4 - 1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Division of Medical Neuroimaging Analysis, Tohoku University, Sendai, Japan
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kosuke Motoki
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
| | - Hyeonjeong Jeong
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Takamitsu Shinada
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
| | - Seishu Nakagawa
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Rui Nouchi
- Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kunio Iizuka
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | | | - Yuki Yamamoto
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
| | - Sugiko Hanawa
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
| | - Tsuyoshi Araki
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yukako Sasaki
- Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Daniele Magistro
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Ryuta Kawashima
- Faculty of Medicine, Tohoku University, Sendai, Japan
- Graduate School of International Cultural Studies, Tohoku University, Sendai, Japan
- Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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41
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Kotozaki Y, Tanno K, Sakata K, Takusari E, Otsuka K, Tomita H, Sasaki R, Takanashi N, Mikami T, Hozawa A, Nakaya N, Tsuchiya N, Nakamura T, Narita A, Taki Y, Shimizu A, Hitomi J, Satoh M, Sasaki M. Association between the social isolation and depressive symptoms after the great East Japan earthquake: findings from the baseline survey of the TMM CommCohort study. BMC Public Health 2021; 21:925. [PMID: 33992096 PMCID: PMC8122535 DOI: 10.1186/s12889-021-10896-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/19/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Social isolation and mental health issues have become a severe problem in disaster areas in the Great East Japan Earthquake. This study examined whether the combination of the house damage and social isolation or the combination of the death of family members and social isolation is associated with depressive symptoms among survivors using the baseline study data of the Tohoku Medical Megabank Project Community-Based Cohort Study (TMM CommCohort Study). METHODS We used cross-sectional data from a baseline survey of 48,958 participants (18,423 males, 30,535 females; aged 60.1 ± 11.2 years) to examine the association between social isolation measured by the Lubben social network scale 6 (LSNS-6) and depressive symptoms measured by the Center for Epidemiological Studies-Depressive Scale (CES-D). The presence of social isolation and depressive symptoms was defined by an LSNS-6 score of < 12 and a CES-D score of ≥16, respectively. We performed a logistic regression analysis to determine the multivariable-adjusted odds ratio (95% confidence interval) [AOR (95% CI)] for depressive symptoms according to sex in the social isolation in comparison to without social isolation, and the associations of the combination of the house damage or the death of family members and social isolation and depressive symptoms. RESULTS Social isolation was significantly associated with depressive symptoms (males: OR = 1.87; 95% CI = 1.72-2.04, females: OR = 2.13; 95% CI = 2.00-2.26). Both males and females respondents with severe house damage and social isolation had a greater risk of depressive symptoms in comparison to those with an undamaged house and without social isolation (males: OR = 3.40; 95% CI = 2.73-4.24, females: OR = 2.92; 95% CI = 2.46-3.46). The risk of depressive symptoms was also higher in both males and females respondents with the death of family members and social isolation in comparison to those without the death of family members and without social isolation (males: OR = 2.18; 95% CI = 1.90-2.50, females: OR = 2.60; 95% CI = 2.35-2.88). CONCLUSION The findings suggested that a combination of social isolation and severe house damage and the death of family members caused by a large-scale natural disaster was associated with a higher risk of depressive symptoms although the interaction was not statistically significant.
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Affiliation(s)
- Yuka Kotozaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan.
| | - Kozo Tanno
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kiyomi Sakata
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Eri Takusari
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Kotaro Otsuka
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Neuropsychiatry, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Division of Disaster Medical Science, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Ryohei Sasaki
- Division of Physical Education, Department of Human Sciences, Iwate Medical University Center for Liberal Arts and Sciences, Iwate, Japan
| | - Nobuyuki Takanashi
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Takahiro Mikami
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Department of Anatomy, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Health Science, Saitama Prefectural University, Koshigaya, Japan
| | - Naho Tsuchiya
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Tomohiro Nakamura
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Akira Narita
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Atsushi Shimizu
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Jiro Hitomi
- Department of Anatomy, School of Medicine, Iwate Medical University, Iwate, Japan
| | - Mamoru Satoh
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 028-3694, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Iwate, Japan
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Maeda CT, Takeuchi H, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Shigeyuki I, Yokota S, Magistro D, Sassa Y, Taki Y, Kawashima R. Brain Microstructural Properties Related to Subjective Well-Being: Diffusion Tensor Imaging Analysis. Soc Cogn Affect Neurosci 2021; 16:1079-1090. [PMID: 33987641 PMCID: PMC8483277 DOI: 10.1093/scan/nsab063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 03/15/2021] [Accepted: 05/13/2021] [Indexed: 12/05/2022] Open
Abstract
Although it is known that health is not merely the absence of disease, the positive aspects of mental health have been less comprehensively researched compared with its negative aspects. Subjective well-being (SWB) is one of the indicators of positive psychology, and high SWB is considered to benefit individuals in multiple ways. However, the neural mechanisms underlying individual differences in SWB remain unclear, particularly in terms of brain microstructural properties as detected by diffusion tensor imaging. The present study aimed to investigate the relationship between measurements of diffusion tensor imaging [mean diffusivity (MD) and fractional anisotropy] and the degree of SWB as measured using a questionnaire. Voxel-based analysis was used to investigate the association between MD and SWB scores in healthy young adults (age, 20.7 ± 1.8 years; 695 males and 514 females). Higher levels of SWB were found to be associated with lower MD in areas surrounding the right putamen, insula, globus pallidus, thalamus and caudate. These results indicated that individual SWB is associated with variability in brain microstructural properties.
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Affiliation(s)
- Chiaki Terao Maeda
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Department of Cognitive Health Science, Institute of Development, Aging, and Cancer (IDAC), Tohoku University, Sendai, Japan.,Smart Aging Research Center, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Department of Behavioral Medicine National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Kunio Iizuka
- Department of Psychiatry Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan
| | | | - Carlos Makoto Miyauchi
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Tokyo, Japan
| | - Ikeda Shigeyuki
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Faculty of arts and science, Kyushu University, Fukuoka, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology Nottingham Trent University, Nottingham, UK
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Human Brain Science, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer Tohoku University, Sendai, Japan
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Tatewaki Y, Terao CM, Ariake K, Saito R, Mutoh T, Shimomura H, Motoi F, Mizuma M, Odagiri H, Unno M, Taki Y. Defining the Optimal Method for Measuring Metabolic Tumor Volume on Preoperative 18F-Fluorodeoxyglucose-Positron Emission Tomography/Computed Tomography as a Prognostic Predictor in Patients With Pancreatic Ductal Adenocarcinoma. Front Oncol 2021; 11:646141. [PMID: 33777807 PMCID: PMC7994512 DOI: 10.3389/fonc.2021.646141] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 02/03/2021] [Indexed: 11/22/2022] Open
Abstract
Objectives Metabolic tumor volume (MTV) on 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) is a promising prognostic predictor in pancreatic ductal adenocarcinoma (PDAC). However, the optimal segmentation method and threshold value to determine MTV for PDAC are still unclear. We explored the optimal method and threshold value for the prognostic value of MTV measured on pre-treatment 18F-FDG-PET/CT. Methods Seventy-three patients with resected PDAC who underwent 18F FDG-PET/CT before surgical resection were enrolled. MTV values of the tumor were measured on FDG-PET/CT by the two fixed-threshold methods using threshold values as 2.0, 2.5, 3.0, and 3.5 for the absolute method and 35%, 40%, 42%, 45%, and 50% for the relative method. Receiver operating characteristic curve analysis for prediction of 1-year survival rates was conducted for determining the optimal threshold values, and we selected the optimal method and threshold value considering area under the curve. The prognostic values of each FDG-PET/CT parameter for disease-specific survival and recurrence-free survival were assessed with Kaplan–Meier method and Cox proportional hazard models. Results In receiver operating characteristic curve analysis, MTV by the fixed-absolute threshold method based on a threshold value of 3.5 (MTV3.5) performed best in our study with area under the curve 0.724, sensitivity of 65%, and specificity of 75%. In univariate and multivariate analyses, MTV3.5 was significantly associated with disease-specific and recurrence-free survival. Conclusions MTV3.5 by absolute threshold on pre-treatment FDG-PET/CT was the best independent prognostic predictor in resectable PDAC compared with other absolute threshold values and relative threshold values.
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Affiliation(s)
- Yasuko Tatewaki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Chiaki Maeda Terao
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kyohei Ariake
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ryoko Saito
- Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Tatsushi Mutoh
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Geriatric Medicine and Neuroimaging, Tohoku University Hospital, Sendai, Japan
| | - Hideo Shimomura
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Kousei Sendai Clinic, Sendai, Japan
| | - Fuyuhiko Motoi
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.,Department of Surgery I, Yamagata University Graduate School of Medical Science, Yamagata, Japan
| | - Masamichi Mizuma
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hayato Odagiri
- Division of Radiology, Tohoku University Hospital, Sendai, Japan
| | - Michiaki Unno
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart-Aging International Research Center, Tohoku University, Sendai, Japan
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44
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Sassa Y, Nozawa T, Ikeda S, Yokota S, Magistro D, Kawashima R. General Intelligence Is Associated with Working Memory-Related Functional Connectivity Change: Evidence from a Large-Sample Study. Brain Connect 2021; 11:89-102. [PMID: 33317391 DOI: 10.1089/brain.2020.0769] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background/Purpose: Psychometric intelligence is closely related to working memory (WM) and the associated brain activity. We aimed to clarify the associations between psychometric intelligence and WM-induced functional connectivity changes. Materials and Methods: Here we determined the associations between psychometric intelligence measured by nonverbal reasoning (using the Raven's Advanced Progressive Matrices) and WM-induced changes in functional connectivity during the N-back paradigm, in a large cohort of 1221 young adults. Results: We observed that the measures of general intelligence showed a significant positive correlation with WM-induced changes in the functional connectivity with the key nodes of the frontoparietal network, such as the bilateral premotor cortices and the presupplementary motor area. Those significant correlations were observed for (1) areas showing a WM-induced increase of the functional connectivity with the abovementioned key nodes, such as the lateral parietal cortex; (2) areas showing a WM-induced decrease of the functional connectivity with the abovementioned key nodes (2-a) such as left perisylvian areas and cuneus, the fusiform gyrus, and the lingual gyrus, which play key roles in language processing, (2-b) hippocampus and parahippocampal gyrus, which play key roles in memory processing, and (2-c) the key node of the default mode network such as the medial prefrontal cortex; as well as (3) the border areas between (1) and (2). Conclusion: Psychometric intelligence is associated with WM-induced changes in functional connectivity, influencing the way in which WM key nodes dynamically modulate the interaction with other brain nodes in response to WM.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.,Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tsuyoshi Araki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Carlos Makoto Miyauchi
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Takayuki Nozawa
- Research Center for the Earth Inclusive Sensing Empathizing with Silent Voices, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Faculty of Arts and Science, Kyushu University, Fukuoka, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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Komatsu H, Takeuchi H, Ono C, Yu Z, Kikuchi Y, Kakuto Y, Funakoshi S, Ono T, Kawashima R, Taki Y, Tomita H. Association Between OLIG2 Gene SNP rs1059004 and Negative Self-Schema Constructing Trait Factors Underlying Susceptibility to Depression. Front Psychiatry 2021; 12:631475. [PMID: 33762978 PMCID: PMC7983671 DOI: 10.3389/fpsyt.2021.631475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/05/2021] [Indexed: 11/23/2022] Open
Abstract
Recent evidence has indicated that the disruption of oligodendrocytes may be involved in the pathogenesis of depression. Genetic factors are likely to affect trait factors, such as characteristics, rather than state factors, such as depressive symptoms. Previously, a negative self-schema had been proposed as the major characteristic of constructing trait factors underlying susceptibility to depression. Thus, the association between a negative self-schema and the functional single nucleotide polymorphism (SNP) rs1059004 in the OLIG2 gene, which influences OLIG2 gene expression, white matter integrity, and cerebral blood flow, was evaluated. A total of 546 healthy subjects were subjected to genotype and psychological evaluation using the Beck Depression Inventory-II (BDI-II) and the Brief Core Schema Scale (BCSS). The rs1059004 SNP was found to be associated with the self-schema subscales of the BCSS and scores on the BDI-II in an allele dose-dependent manner, and to have a predictive impact on depressive symptoms via a negative-self schema. The results suggest the involvement of a genetic factor regulating oligodendrocyte function in generating a negative-self schema as a trait factor underlying susceptibility to depression.
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Affiliation(s)
- Hiroshi Komatsu
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Miyagi Psychiatric Center, Natori, Japan
| | - Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Chiaki Ono
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Yoshie Kikuchi
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | | | - Shunichi Funakoshi
- Miyagi Psychiatric Center, Natori, Japan.,Department of Community Psychiatry, Tohoku University, Sendai, Japan
| | | | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Smart Ageing International Research Center, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.,Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan.,Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.,Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.,Department of Disaster Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan.,Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai, Japan
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Ninomiya T, Nakaji S, Maeda T, Yamada M, Mimura M, Nakashima K, Mori T, Takebayashi M, Ohara T, Hata J, Kokubo Y, Uchida K, Taki Y, Kumagai S, Yonemoto K, Yoshida H, Muto K, Momozawa Y, Akiyama M, Kubo M, Ikeda M, Kanba S, Kiyohara Y. Study design and baseline characteristics of a population-based prospective cohort study of dementia in Japan: the Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD). Environ Health Prev Med 2020; 25:64. [PMID: 33129280 PMCID: PMC7603740 DOI: 10.1186/s12199-020-00903-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 10/06/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The burden of dementia is growing rapidly and has become a medical and social problem in Japan. Prospective cohort studies have been considered an effective methodology to clarify the risk factors and the etiology of dementia. We aimed to perform a large-scale dementia cohort study to elucidate environmental and genetic risk factors for dementia, as well as their interaction. METHODS The Japan Prospective Studies Collaboration for Aging and Dementia (JPSC-AD) is a multisite, population-based prospective cohort study of dementia, which was designed to enroll approximately 10,000 community-dwelling residents aged 65 years or older from 8 sites in Japan and to follow them up prospectively for at least 5 years. Baseline exposure data, including lifestyles, medical information, diets, physical activities, blood pressure, cognitive function, blood test, brain magnetic resonance imaging (MRI), and DNA samples, were collected with a pre-specified protocol and standardized measurement methods. The primary outcome was the development of dementia and its subtypes. The diagnosis of dementia was adjudicated by an endpoint adjudication committee using standard criteria and clinical information according to the Diagnostic and Statistical Manual of Mental Disorders, 3rd Revised Edition. For brain MRI, three-dimensional acquisition of T1-weighted images was performed. Individual participant data were pooled for data analyses. RESULTS The baseline survey was conducted from 2016 to 2018. The follow-up surveys are ongoing. A total of 11,410 individuals aged 65 years or older participated in the study. The mean age was 74.4 years, and 41.9% were male. The prevalence of dementia at baseline was 8.5% in overall participants. However, it was 16.4% among three sites where additional home visit and/or nursing home visit surveys were performed. Approximately two-thirds of dementia cases at baseline were Alzheimer's disease. CONCLUSIONS The prospective cohort data from the JPSC-AD will provide valuable insights regarding the risk factors and etiology of dementia as well as for the development of predictive models and diagnostic markers for the future onset of dementia. The findings of this study will improve our understanding of dementia and provide helpful information to establish effective preventive strategies for dementia in Japan.
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Affiliation(s)
- Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, Morioka, Japan
| | - Masahito Yamada
- Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Nakashima
- National Hospital Organization, Matsue Medical Center, Matsue, Japan
| | - Takaaki Mori
- Department of Neuropsychiatry, Neuroscience Ehime University Graduate School of Medicine, Ehime, Japan
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | - Jun Hata
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Yoshihiro Kokubo
- Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Kazuhiro Uchida
- Department of Health Promotion, School of Health and Nutrition Sciences, Nakamura-Gakuen University, Fukuoka, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Koji Yonemoto
- Division of Biostatistics, School of Health Sciences, Faculty of Medicine, University of the Ryukyus, Nishihara, Japan
| | - Hisako Yoshida
- Department of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kaori Muto
- Department of Public Policy, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Saitama, Japan
| | - Masato Akiyama
- Department of Ocular Pathology and Imaging Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michiaki Kubo
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Medical School, Suita, Japan
| | - Shigenobu Kanba
- Department of Neuropsychiatry, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan
| | - Yutaka Kiyohara
- Hisayama Research Institute for Lifestyle Diseases, Fukuoka, Japan
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47
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Kubota K, Tanaka N, Miyata Y, Ohtsu H, Nakahara T, Sakamoto S, Kudo T, Nishiyama Y, Tateishi U, Murakami K, Nakamoto Y, Taki Y, Kaneta T, Kawabe J, Nagamachi S, Kawano T, Hatazawa J, Mizutani Y, Baba S, Kirii K, Yokoyama K, Okamura T, Kameyama M, Minamimoto R, Kunimatsu J, Kato O, Yamashita H, Kaneko H, Kutsuna S, Ohmagari N, Hagiwara A, Kikuchi Y, Kobayakawa M. Comparison of 18F-FDG PET/CT and 67Ga-SPECT for the diagnosis of fever of unknown origin: a multicenter prospective study in Japan. Ann Nucl Med 2020; 35:31-46. [PMID: 33037581 DOI: 10.1007/s12149-020-01533-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 09/18/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The aim of this multicenter prospective study was to compare the sensitivity of 18F-fluorodeoxyglucose (FDG)-positron emission tomography/computed tomography (PET/CT) with that of 67Ga single photon emission computed tomography (SPECT) for the identification of the site of greatest importance for the final diagnosis of the cause of fever of unknown origin (FUO). METHODS The study participants consisted of patients with an axillary temperature ≥ 38.0 °C on ≥ 2 occasions within 1 week, with repeated episodes for ≥ 2 weeks prior to providing consent, and whose final diagnosis after undergoing specific examinations, including a chest-to-abdomen CT scan, was uncertain. All the patients underwent FDG-PET/CT imaging first, followed by 67Ga-SPECT imaging within 3 days. The results of the FDG-PET/CT and 67Ga-SPECT examinations were reviewed by the central image interpretation committee (CIIC), which was blinded to all other clinical information. The sensitivities of FDG-PET/CT and 67Ga-SPECT were then evaluated with regard to identifying the site of greatest importance for a final diagnosis of the cause of the fever as decided by the patient's attending physician. The clinical impacts (four grades) of FDG-PET/CT and 67Ga-SPECT on the final diagnosis were evaluated. RESULTS A total of 149 subjects were enrolled in this study between October 2014 and September 2017. No adverse events were identified among the enrolled subjects. Twenty-one subjects were excluded from the study because of deviations from the study protocol. Among the 128 remaining subjects, a final diagnosis of the disease leading to the appearance of FUO was made for 92 (71.9%) subjects. The final diagnoses in these 92 cases were classified into four groups: noninfectious inflammatory disease (52 cases); infectious disease (31 cases), malignancy (six cases); and other (three cases). These 92 subjects were eligible for inclusion in the study's analysis, but one case did not meet the PET/CT image acquisition criteria; thus, PET/CT results were analyzed for 91 cases. According to the patient-based assessments, the sensitivity of FDG-PET/CT (45%, 95% CI 33.1-58.2%) was significantly higher than that for 67Ga-SPECT (25%, 95% CI 15.5-37.5%) (P = 0.0029). The clinical impact of FDG-PET/CT (91%) was also significantly higher than that for 67Ga-SPECT (57%, P < 0.001). CONCLUSIONS FDG-PET/CT showed a superior sensitivity to 67Ga-SPECT for the identification of the site of greatest importance for the final diagnosis of the cause of FUO.
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Affiliation(s)
- Kazuo Kubota
- Division of Nuclear Medicine, National Center for Global Health and Medicine, Tokyo, Japan. .,Department of Radiology, Southern TOHOKU General Hospital, Koriyama City, 7-115 Yatsuyamada, Fukushima, 963-8563, Japan.
| | - Noriko Tanaka
- Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yoko Miyata
- Division of Nuclear Medicine, National Center for Global Health and Medicine, Tokyo, Japan.,Department of Radiology, Kohnodai Hospital, National Center for Global Health and Medicine, Chiba, Japan
| | - Hiroshi Ohtsu
- Clinical Epidemiology/JCRAC Data Center, Department of Data Science National Center for Global Health and Medicine Center for Clinical Sciences, Tokyo, Japan
| | - Tadaki Nakahara
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Setsu Sakamoto
- PET Center, Dokkyo Medical University Hospital, Tochigi, Japan.,Department of Diagnostic Radiology, Hyogo Cancer Center, Hyogo, Japan
| | - Takashi Kudo
- Department of Radioisotope Medicine, Atomic Bomb Disease Institute, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Yoshihiro Nishiyama
- Department of Radiology, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Ukihide Tateishi
- Department of Diagnostic Radiology and Nuclear Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Koji Murakami
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasuyuki Taki
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Tomohiro Kaneta
- Department of Radiology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Joji Kawabe
- Department of Nuclear Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shigeki Nagamachi
- Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Tsuyoshi Kawano
- Department of Radiology, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Jun Hatazawa
- Department of Nuclear Medicine and Tracer Kinetics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Youichi Mizutani
- Department of Radiology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Shingo Baba
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazukuni Kirii
- Department of Diagnostic Radiology, Yamagata University, Faculty of Medicine, Yamagata, Japan
| | - Kunihiko Yokoyama
- Department of Thyroidology, Public Central Hospital of Matto Ishikawa, Ishikawa, Japan
| | - Terue Okamura
- PET Center, Osaka Saiseikai Nakatsu Hospital, Osaka, Japan
| | - Masashi Kameyama
- Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Ryogo Minamimoto
- Division of Nuclear Medicine, National Center for Global Health and Medicine, Tokyo, Japan
| | - Junwa Kunimatsu
- Department of General Internal Medicine, National Center for Global Health and Medicine, Tokyo, Japan
| | - On Kato
- Department of General Internal Medicine, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hiroyuki Yamashita
- Division of Rheumatic Diseases, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hiroshi Kaneko
- Division of Rheumatic Diseases, National Center for Global Health and Medicine, Tokyo, Japan
| | - Satoshi Kutsuna
- Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Norio Ohmagari
- Disease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Akiyoshi Hagiwara
- Department of Emergency Medicine and Critical Care, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yoshimi Kikuchi
- AIDS Clinical Center, National Center for Global Health and Medicine, Tokyo, Japan
| | - Masao Kobayakawa
- Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.,Medical Research Center, Fukushima Medical University, Fukushima, Japan
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48
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Takeuchi H, Tomita H, Browne R, Taki Y, Kikuchi Y, Ono C, Yu Z, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Nozawa T, Ikeda S, Yokota S, Magistro D, Sassa Y, Kawashima R. Sex-Dependent Effects of the APOE ɛ4 Allele on Behavioral Traits and White Matter Structures in Young Adults. Cereb Cortex 2020; 31:672-680. [PMID: 32954402 PMCID: PMC7727389 DOI: 10.1093/cercor/bhaa251] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 08/08/2020] [Accepted: 08/09/2020] [Indexed: 12/13/2022] Open
Abstract
The APOE ɛ4 allele is associated with a risk of Alzheimer’s disease in the elderly, with the association being pronounced in females. Conversely, findings of the effects of the APOE ɛ4 allele in young adults are mixed. Here, we investigated the sex–genotype interaction effects of the APOE ɛ4 allele on cognitive functions as well as brain structures among 1258 young adults. After adjusting for multiple comparisons, there were significant effects of the interaction between sex and the number of APOE ɛ4 allele on some speed tasks (e.g., simple processing speed tasks and the reverse Stroop task) as well as on regional white matter volume (rWMV). The observed sex–genotype interaction conferred better cognitive performance and greater rWMV in the anterior frontal and precentral white matter areas in females having more APOE ɛ4 alleles and reduced rWMV in the same areas in male having more APOE ɛ4 alleles. These findings support the long-debated antagonistic pleiotropic effects of the APOE ɛ4 allele in females.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan.,Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai 980-8575, Japan
| | - Ryan Browne
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Yasuyuki Taki
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8575, Japan.,Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Yoshie Kikuchi
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai 980-8575, Japan
| | - Chiaki Ono
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai 980-8575, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai 980-8575, Japan
| | - Rui Nouchi
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Department of Cognitive Health Science, IDAC, Tohoku University, Sendai 980-8575, Japan.,Smart Aging Research Center, Tohoku University, Sendai 980-8575, Japan
| | | | - Yuka Kotozaki
- Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima 960-1925, Japan
| | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan
| | - Atsushi Sekiguchi
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai 980-8575, Japan.,Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 187-8553, Japan
| | - Kunio Iizuka
- Department of Psychiatry, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Tsuyoshi Araki
- ADVANTAGE Risk Management Co., Ltd. , Tokyo 153-0051, Japan
| | - Carlos Makoto Miyauchi
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Takayuki Nozawa
- Research Institute for the Earth Inclusive Sensing, Tokyo Institute of Technology, Tokyo 152-8550, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Susumu Yokota
- Division for Experimental Natural Science, Faculty of Arts and Science, Kyushu University, Fukuoka 819-0385, Japan
| | - Daniele Magistro
- Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK
| | - Yuko Sassa
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan.,Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai 980-8575, Japan
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49
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Kotozaki Y, Nakagawa S, Sekiguchi A, Iizuka K, Hanawa S, Araki T, Miyauchi CM, Sakaki K, Sassa Y, Nozawa T, Ikeda S, Yokota S, Magistro D, Kawashima R. Originality of divergent thinking is associated with working memory–related brain activity: Evidence from a large sample study. Neuroimage 2020; 216:116825. [DOI: 10.1016/j.neuroimage.2020.116825] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Revised: 01/24/2020] [Accepted: 03/30/2020] [Indexed: 01/26/2023] Open
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50
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Takeuchi H, Taki Y, Nouchi R, Yokoyama R, Nakagawa S, Iizuka K, Sakaki K, Araki T, Nozawa T, Ikeda S, Yokota S, Hanawa S, Magistro D, Kotozaki Y, Sasaki Y, Dos S Kawata KH, Kawashima R. The associations of BMI with mean diffusivity of basal ganglia among young adults with mild obesity and without obesity. Sci Rep 2020; 10:12566. [PMID: 32724120 PMCID: PMC7387490 DOI: 10.1038/s41598-020-69438-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 07/09/2020] [Indexed: 11/09/2022] Open
Abstract
Obesity causes a wide range of systemic diseases and is associated with mood and anxiety disorders. It is also associated with dopaminergic reward system function. However, the relationships between microstructural properties of the dopaminergic system and body mass index (BMI) have not been investigated. In this study, we investigated the associations of BMI with mean diffusivity (MD), diffusion tensor imaging measure in areas of the dopaminergic system (MDDS) in 435 healthy young adults with mild obesity and without obesity (BMI < 40). We detected the association between greater BMI and lower MD of the right globus pallidus and the right putamen. These results suggest that the property of the dopaminergic system is associated with BMI among young adults with mild obesity and without obesity.
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Affiliation(s)
- Hikarua Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
| | - Yasuyuki Taki
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
- Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
- Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Rui Nouchi
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan
- Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Seishu Nakagawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Kunio Iizuka
- Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Kohei Sakaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Takayuki Nozawa
- Collaborative Research Center for Happiness Co-Creation Society Through Intelligent Communications, Tokyo Institute of Technology, Tokyo, Japan
| | - Shigeyuki Ikeda
- Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Susumu Yokota
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
| | - Sugiko Hanawa
- Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Daniele Magistro
- National Centre for Sport and Exercise Medicine (NCSEM), The NIHR Leicester-Loughborough Diet, Lifestyle and Physical Activity Biomedical Research Unit, School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, England
| | - Yuka Kotozaki
- Division of Clinical Research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Yukako Sasaki
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | | | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer (IDAC), Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan
- Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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