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Nasrullah N, Khorashad Sorouri B, Lundmark A, Seiger R, Savic I. Occupational stress is associated with sex and subregion specific modifications of the amygdala volumes. Stress 2023; 26:2247102. [PMID: 37771232 DOI: 10.1080/10253890.2023.2247102] [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] [Received: 01/11/2023] [Accepted: 08/07/2023] [Indexed: 09/30/2023] Open
Abstract
Background: Despite the rapid increase in reports of exhaustion syndrome (ES) due to daily occupational stress, the mechanisms underlying ES are unknown. In the present study, we investigated whether occupational ES is associated with specific modifications of the subfields of the amygdala and hippocampus resembling those described in other chronic stress conditions. Special focus was paid to possible sex differences.Methods: As a follow up to our previous studies of occupational ES, we carried out MRI-based subfield segmentation of the hippocampus and amygdala volumes in 58 patients with occupational ES (22 males) and 65 age-matched controls (27 males) (age range 30-46 years).Results: There was a significant and bilateral enlargement of the lateral, basal and central nucleus of the amygdala in patients with ES (corrected for the total intracranial volume (ICV)). These differences were detected only in females. Higher values in the right central and right basal amygdala remained when the whole amygdala volume was used as reference, instead of the ICV. Notably, in female patients the volumes of these specific nuclei were positively correlated with the degree of perceived stress. No changes in the hippocampus subfields were detected in female or male patients.Conclusions: The findings underline that ES is a chronic stress condition, suggesting that not only extreme forms of stress, but also the everyday stress is associated with localized differences from controls in the amygdala. The absence of significant alterations among men with ES despite a similar degree of perceived stress supports the notion that women seem more susceptible to stress-related cerebral changes, and may explain the higher prevalence of ES among women.
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Affiliation(s)
- Nilab Nasrullah
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - B Khorashad Sorouri
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Anton Lundmark
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Rene Seiger
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Ivanka Savic
- Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinska University Hospital, Stockholm, Sweden
- Department of Neurology, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, California, USA
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2
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Lee J, Petrosyan S, Khobragade P, Banerjee J, Chien S, Weerman B, Gross A, Hu P, Smith JA, Zhao W, Aksman L, Jain U, Shanthi GS, Kurup R, Raman A, Chakrabarti SS, Gambhir IS, Varghese M, John JP, Joshi H, Koul PA, Goswami D, Talukdar A, Mohanty RR, Yadati YSR, Padmaja M, Sankhe L, Rajguru C, Gupta M, Kumar G, Dhar M, Jovicich J, Ganna A, Ganguli M, Chatterjee P, Singhal S, Bansal R, Bajpai S, Desai G, Bhatankar S, Rao AR, Sivakumar PT, Muliyala KP, Sinha P, Loganathan S, Meijer E, Angrisani M, Kim JK, Dey S, Arokiasamy P, Bloom DE, Toga AW, Kardia SLR, Langa K, Crimmins EM, Dey AB. Deep phenotyping and genomic data from a nationally representative study on dementia in India. Sci Data 2023; 10:45. [PMID: 36670106 PMCID: PMC9852797 DOI: 10.1038/s41597-023-01941-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 01/06/2023] [Indexed: 01/21/2023] Open
Abstract
The Harmonized Diagnostic Assessment of Dementia for the Longitudinal Aging Study in India (LASI-DAD) is a nationally representative in-depth study of cognitive aging and dementia. We present a publicly available dataset of harmonized cognitive measures of 4,096 adults 60 years of age and older in India, collected across 18 states and union territories. Blood samples were obtained to carry out whole blood and serum-based assays. Results are included in a venous blood specimen datafile that can be linked to the Harmonized LASI-DAD dataset. A global screening array of 960 LASI-DAD respondents is also publicly available for download, in addition to neuroimaging data on 137 LASI-DAD participants. Altogether, these datasets provide comprehensive information on older adults in India that allow researchers to further understand risk factors associated with cognitive impairment and dementia.
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Affiliation(s)
- Jinkook Lee
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
| | - Sarah Petrosyan
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Pranali Khobragade
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Joyita Banerjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sandy Chien
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Bas Weerman
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Alden Gross
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Peifeng Hu
- Division of Geriatric Medicine, University of California, Los Angeles, Los Angeles, California, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Leon Aksman
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Urvashi Jain
- Department of Economics, Finance and Real Estate, University of South Alabama, Mobile, USA
| | - G S Shanthi
- Department of Geriatric Medicine, Madras Medical College, Chennai, India
| | - Ravi Kurup
- Department of Medicine, Government Medical College, Thiruvananthapuram, India
| | - Aruna Raman
- Department of Medicine, Government Medical College, Thiruvananthapuram, India
| | - Sankha Shubhra Chakrabarti
- Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Indrajeet Singh Gambhir
- Department of Geriatric Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
| | - Mathew Varghese
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - John P John
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Himanshu Joshi
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Parvaiz A Koul
- Department of Internal and Pulmonary Medicine, Sher-e-Kashmir Institute of Medical Sciences, Srinagar, India
| | | | | | - Rashmi Ranjan Mohanty
- Department of Medicine, All India Institute of Medical Sciences, Bhubaneshwar, India
| | | | - Mekala Padmaja
- Department of Medicine, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Lalit Sankhe
- Department of Community Medicine, Grant Medical College and J.J. Hospital, Mumbai, India
| | - Chhaya Rajguru
- Department of Community Medicine, Grant Medical College and J.J. Hospital, Mumbai, India
| | - Monica Gupta
- Department of General Medicine, Government Medical College and Hospital, Chandigarh, India
| | - Govind Kumar
- Department of Medicine Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India
| | - Minakshi Dhar
- Department of Medicine, All India Institute of Medical Sciences, Rishikesh, India
| | - Jorge Jovicich
- Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy
| | - Andrea Ganna
- Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Mary Ganguli
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prasun Chatterjee
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Sunny Singhal
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Rishav Bansal
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Swati Bajpai
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Gaurav Desai
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | | | - Abhijith R Rao
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Palanimuthu T Sivakumar
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Krishna Prasad Muliyala
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Preeti Sinha
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Santosh Loganathan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | - Erik Meijer
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Marco Angrisani
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Jung Ki Kim
- School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Sharmistha Dey
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | - Perianayagam Arokiasamy
- Department of Development Studies, International Institute for Population Sciences, Mumbai, India
| | - David E Bloom
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Kenneth Langa
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Eileen M Crimmins
- School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - Aparajit B Dey
- Department of Geriatric Medicine, All India Institute of Medical Sciences, New Delhi, India
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Konopka-Filippow M, Sierko E, Hempel D, Maksim R, Samołyk-Kogaczewska N, Filipowski T, Rożkowska E, Jelski S, Kasprowicz B, Karbowska E, Szymański K, Szczecina K. The Learning Curve and Inter-Observer Variability in Contouring the Hippocampus under the Hippocampal Sparing Guidelines of Radiation Therapy Oncology Group 0933. Curr Oncol 2022; 29:2564-2574. [PMID: 35448184 PMCID: PMC9027685 DOI: 10.3390/curroncol29040210] [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] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 04/04/2022] [Indexed: 11/23/2022] Open
Abstract
Hippocampal-sparing brain radiotherapy (HS-BRT) in cancer patients results in preservation of neurocognitive function after brain RT which can contribute to patients’ quality of life (QoL). The crucial element in HS-BRT treatment planning is appropriate contouring of the hippocampus. Ten doctors delineated the left and right hippocampus (LH and RH, respectively) on 10 patients’ virtual axial images of brain CT fused with T1-enhanced MRI (1 mm) according to the RTOG 0933 atlas recommendations. Variations in the spatial localization of the structure were described in three directions: right–left (X), cranio-caudal (Y), and forward–backward (Z). Discrepancies concerned three-dimensional localization, shape, volume and size of the hippocampus. The largest differences were observed in the first three delineated cases which were characterized by larger hippocampal volumes than the remaining seven cases. The volumes of LH of more than half of hippocampus contours were marginally bigger than those of RH. Most differences in delineation of the hippocampus were observed in the area of the posterior horn of the lateral ventricle. Conversely, a large number of hippocampal contours overlapped near the brainstem and the anterior horn of the lateral ventricle. The most problematic area of hippocampal contouring is the posterior horn of the lateral ventricle. Training in the manual contouring of the hippocampus during HS-BRT treatment planning under the supervision of experienced radiation oncologists is necessary to achieve optimal outcomes. This would result in superior outcomes of HS-BRT treatment and improvement in QoL of patients compared to without HS-BRT procedure. Correct delineation of the hippocampus is problematic. This study demonstrates difficulties in HS-BRT treatment planning and highlights critical points during hippocampus delineation.
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Affiliation(s)
- Monika Konopka-Filippow
- Department of Oncology, Medical University of Bialystok, 15-089 Białystok, Poland; (M.K.-F.); (D.H.)
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
| | - Ewa Sierko
- Department of Oncology, Medical University of Bialystok, 15-089 Białystok, Poland; (M.K.-F.); (D.H.)
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
- Correspondence: ; Tel.: +48-85-6646734; Fax: +48-6646783
| | - Dominika Hempel
- Department of Oncology, Medical University of Bialystok, 15-089 Białystok, Poland; (M.K.-F.); (D.H.)
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
| | - Rafał Maksim
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
| | - Natalia Samołyk-Kogaczewska
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
| | - Tomasz Filipowski
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
| | - Ewa Rożkowska
- Department of Radiotherapy I, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (R.M.); (N.S.-K.); (T.F.); (E.R.)
| | - Stefan Jelski
- Department of Radiology, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (S.J.); (B.K.); (E.K.)
| | - Beata Kasprowicz
- Department of Radiology, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (S.J.); (B.K.); (E.K.)
| | - Eryka Karbowska
- Department of Radiology, Maria Sklodowska-Curie Bialystok Oncology Centre, 15-027 Białystok, Poland; (S.J.); (B.K.); (E.K.)
| | - Krzysztof Szymański
- Department of Physics, University of Bialystok, 15-245 Białystok, Poland; (K.S.); (K.S.)
| | - Kamil Szczecina
- Department of Physics, University of Bialystok, 15-245 Białystok, Poland; (K.S.); (K.S.)
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4
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Zhang S, Fan W, Hu H, Wen L, Gong M, Liu B, Hu J, Li G, Zhang D. Subcortical Volume Changes in Early Menopausal Women and Correlation With Neuropsychological Tests. Front Aging Neurosci 2021; 13:738679. [PMID: 34955807 PMCID: PMC8692945 DOI: 10.3389/fnagi.2021.738679] [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: 07/09/2021] [Accepted: 11/16/2021] [Indexed: 01/04/2023] Open
Abstract
Background: The aging process and declining estradiol levels are two important factors that cause structural brain alterations. Many prior studies have investigated these two elements and revealed controversial results in menopausal women. Here, a cross-sectional study was designed to individually evaluate estradiol-related structural changes in the brain. Methods: A total of 45 early menopausal women and 54 age-matched premenopausal controls were enrolled and subjected to magnetic resonance imaging (MRI) scans, blood biochemistry tests, and neuropsychological tests. MRI structural images were analyzed using FreeSurfer to detect changes in subcortical and cortical volumes as well as cortical thickness. Finally, structural brain data as well as clinical and neuropsychological data were used for Pearson's correlation analyses to individually determine estradiol-related structural and functional changes in the brains of early menopausal women. Results: Compared with the premenopausal controls, the early menopausal women showed significant subcortical volumetric loss in the left amygdala and right amygdala, higher serum follicle-stimulating hormone (FSH) levels, more recognizable climacteric and depressive symptoms, decreased quality of sleep, and decreased working memory and executive functions. Simultaneously, FSH levels were related to lower working memory accuracy and longer working memory reaction time. Decreased subcortical volume in the bilateral amygdala was also related to lower working memory accuracy and longer executive reaction time in early menopausal women. Conclusion: The data suggest that estradiol deficiency in early menopausal women can lead to subcortical volume and functional brain changes, which may contribute to further understanding the neurobiological role of declined estradiol levels in early menopausal women.
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Affiliation(s)
- Si Zhang
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Weijie Fan
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Hao Hu
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Li Wen
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Mingfu Gong
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Bo Liu
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Junhao Hu
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Guanghui Li
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
| | - Dong Zhang
- Department of Radiology, XinQiao Hosptial, Third Military Medical University, Chongqing, China
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5
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Seiger R, Hammerle FP, Godbersen GM, Reed MB, Spurny-Dworak B, Handschuh P, Klöbl M, Unterholzner J, Gryglewski G, Vanicek T, Lanzenberger R. Comparison and Reliability of Hippocampal Subfield Segmentations Within FreeSurfer Utilizing T1- and T2-Weighted Multispectral MRI Data. Front Neurosci 2021; 15:666000. [PMID: 34602964 PMCID: PMC8480394 DOI: 10.3389/fnins.2021.666000] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [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: 02/14/2021] [Accepted: 05/28/2021] [Indexed: 11/13/2022] Open
Abstract
The accurate segmentation of in vivo magnetic resonance imaging (MRI) data is a crucial prerequisite for the reliable assessment of disease progression, patient stratification or the establishment of putative imaging biomarkers. This is especially important for the hippocampal formation, a brain area involved in memory formation and often affected by neurodegenerative or psychiatric diseases. FreeSurfer, a widely used automated segmentation software, offers hippocampal subfield delineation with multiple input options. While a single T1-weighted (T1) sequence is regularly used by most studies, it is also possible and advised to use a high-resolution T2-weighted (T2H) sequence or multispectral information. In this investigation it was determined whether there are differences in volume estimations depending on the input images and which combination of these deliver the most reliable results in each hippocampal subfield. 41 healthy participants (age = 25.2 years ± 4.2 SD) underwent two structural MRIs at three Tesla (time between scans: 23 days ± 11 SD) using three different structural MRI sequences, to test five different input configurations (T1, T2, T2H, T1 and T2, and T1 and T2H). We compared the different processing pipelines in a cross-sectional manner and assessed reliability using test-retest variability (%TRV) and the dice coefficient. Our analyses showed pronounced significant differences and large effect sizes between the processing pipelines in several subfields, such as the molecular layer (head), CA1 (head), hippocampal fissure, CA3 (head and body), fimbria and CA4 (head). The longitudinal analysis revealed that T1 and multispectral analysis (T1 and T2H) showed overall higher reliability across all subfields than T2H alone. However, the specific subfields had a substantial influence on the performance of segmentation results, regardless of the processing pipeline. Although T1 showed good test-retest metrics, results must be interpreted with caution, as a standard T1 sequence relies heavily on prior information of the atlas and does not take the actual fine structures of the hippocampus into account. For the most accurate segmentation, we advise the use of multispectral information by using a combination of T1 and high-resolution T2-weighted sequences or a T2 high-resolution sequence alone.
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Affiliation(s)
- René Seiger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Fabian P Hammerle
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Godber M Godbersen
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Murray B Reed
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Benjamin Spurny-Dworak
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Patricia Handschuh
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Manfred Klöbl
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Jakob Unterholzner
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Vanicek
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
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6
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Sasabayashi D, Yoshimura R, Takahashi T, Takayanagi Y, Nishiyama S, Higuchi Y, Mizukami Y, Furuichi A, Kido M, Nakamura M, Noguchi K, Suzuki M. Reduced Hippocampal Subfield Volume in Schizophrenia and Clinical High-Risk State for Psychosis. Front Psychiatry 2021; 12:642048. [PMID: 33828496 PMCID: PMC8019805 DOI: 10.3389/fpsyt.2021.642048] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [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: 12/15/2020] [Accepted: 02/19/2021] [Indexed: 11/13/2022] Open
Abstract
Magnetic resonance imaging (MRI) studies in schizophrenia demonstrated volume reduction in hippocampal subfields divided on the basis of specific cytoarchitecture and function. However, it remains unclear whether this abnormality exists prior to the onset of psychosis and differs across illness stages. MRI (3 T) scans were obtained from 77 patients with schizophrenia, including 24 recent-onset and 40 chronic patients, 51 individuals with an at-risk mental state (ARMS) (of whom 5 subsequently developed psychosis within the follow-up period), and 87 healthy controls. Using FreeSurfer software, hippocampal subfield volumes were measured and compared across the groups. Both schizophrenia and ARMS groups exhibited significantly smaller volumes for the bilateral Cornu Ammonis 1 area, left hippocampal tail, and right molecular layer of the hippocampus than the healthy control group. Within the schizophrenia group, chronic patients exhibited a significantly smaller volume for the left hippocampal tail than recent-onset patients. The left hippocampal tail volume was positively correlated with onset age, and negatively correlated with duration of psychosis and duration of medication in the schizophrenia group. Reduced hippocampal subfield volumes observed in both schizophrenia and ARMS groups may represent a common biotype associated with psychosis vulnerability. Volumetric changes of the left hippocampal tail may also suggest ongoing atrophy after the onset of schizophrenia.
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Affiliation(s)
- Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Ryo Yoshimura
- Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Arisawabashi Hospital, Toyama, Japan
| | - Shimako Nishiyama
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Health Administration Center, University of Toyama, Toyama, Japan
| | - Yuko Higuchi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yuko Mizukami
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
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