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Zhou H, Gong L, Su C, Teng B, Xi W, Li X, Geng F, Hu Y. White matter integrity of right frontostriatal circuit predicts internet addiction severity among internet gamers. Addict Biol 2024; 29:e13399. [PMID: 38711213 DOI: 10.1111/adb.13399] [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: 01/10/2024] [Revised: 03/25/2024] [Accepted: 04/16/2024] [Indexed: 05/08/2024]
Abstract
Excessive use of the internet, which is a typical scenario of self-control failure, could lead to potential consequences such as anxiety, depression, and diminished academic performance. However, the underlying neuropsychological mechanisms remain poorly understood. This study aims to investigate the structural basis of self-control and internet addiction. In a cohort of 96 internet gamers, we examined the relationships among grey matter volume and white matter integrity within the frontostriatal circuits and internet addiction severity, as well as self-control measures. The results showed a significant and negative correlation between dACC grey matter volume and internet addiction severity (p < 0.001), but not with self-control. Subsequent tractography from the dACC to the bilateral ventral striatum (VS) was conducted. The fractional anisotropy (FA) and radial diffusivity of dACC-right VS pathway was negatively (p = 0.011) and positively (p = 0.020) correlated with internet addiction severity, respectively, and the FA was also positively correlated with self-control (p = 0.036). These associations were not observed for the dACC-left VS pathway. Further mediation analysis demonstrated a significant complete mediation effect of self-control on the relationship between FA of the dACC-right VS pathway and internet addiction severity. Our findings suggest that the dACC-right VS pathway is a critical neural substrate for both internet addiction and self-control. Deficits in this pathway may lead to impaired self-regulation over internet usage, exacerbating the severity of internet addiction.
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Affiliation(s)
- Hui Zhou
- The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Liangyu Gong
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Conghui Su
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Binyu Teng
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Wan Xi
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Xiumei Li
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
| | - Fengji Geng
- Department of Curriculum and Learning Sciences, Zhejiang University, Zijingang Campus, Hangzhou, China
| | - Yuzheng Hu
- The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China
- Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, China
- MOE Frontiers Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou, China
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou, China
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Kaltsouni E, Wikström J, Lanzenberger R, Sundström-Poromaa I, Comasco E. White matter volume and treatment with selective progesterone receptor modulator in patients with premenstrual dysphoric disorder. Psychoneuroendocrinology 2024; 163:106977. [PMID: 38295626 DOI: 10.1016/j.psyneuen.2024.106977] [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: 10/06/2023] [Revised: 12/21/2023] [Accepted: 01/19/2024] [Indexed: 02/02/2024]
Abstract
Premenstrual dysphoric disorder (PMDD) is a mood disorder for which selective progesterone receptor modulator (SPRM) treatment has been demonstrated to be beneficial. The neural signatures of this treatment have been so far identified as greater fronto-cingulate reactivity during aggressive response to provocation, but no changes in terms of gray matter structure. White matter has recently been found to differ between patients with PMDD and healthy controls. The present study thus sought to investigate the relationship between white matter volume and SPRM treatment in patients with PMDD. A pharmaco-neuroimaging study was conducted on patients with PMDD participating in a randomized controlled trial. Participants underwent magnetic resonance imaging before and after treatment randomization to ulipristal acetate (an SPRM), or placebo, for three months. The interaction effect of treatment by time on white matter volume (WMV) was assessed. Voxel based morphometry analyses were performed on both a whole brain exploratory level and on regions of interest. No treatment effect was observed on WMV in any region, including the anterior thalamic radiations, cingulum, forceps minor, fornix, inferior fronto-occipital fasciculus, superior cerebellar peduncle, superior longitudinal fasciculus, and uncinate fasciculus. This is the first finding to indicate that no white matter volume alterations follow three-month progesterone antagonism, suggesting that white matter volume does not participate in symptom relief upon SPRM treatment for PMDD.
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Affiliation(s)
- Elisavet Kaltsouni
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden
| | - Johan Wikström
- Department of Surgical Sciences, Neuroradiology, Uppsala University, Uppsala, Sweden
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria; Comprehensive Center for Clinical Neurosciences and Mental Health (C3NMH), Medical University of Vienna, Vienna, Austria
| | | | - Erika Comasco
- Department of Women's and Children's Health, Science for Life Laboratory, Uppsala University, Sweden.
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Kawata NYS, Nishitani S, Yao A, Takiguchi S, Mizuno Y, Mizushima S, Makita K, Hamamura S, Saito DN, Okazawa H, Fujisawa TX, Tomoda A. Brain structures and functional connectivity in neglected children with no other types of maltreatment. Neuroimage 2024; 292:120589. [PMID: 38575041 DOI: 10.1016/j.neuroimage.2024.120589] [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: 04/19/2023] [Revised: 03/11/2024] [Accepted: 03/25/2024] [Indexed: 04/06/2024] Open
Abstract
Child maltreatment can adversely affect brain development, leading to vulnerabilities in brain structure and function and various psychiatric disorders. Among the various types of child maltreatment, neglect has the highest incidence rate (76.0%); however, data on its sole adverse influence on the brain remain limited. This case-control brain magnetic resonance imaging (MRI) study identified the changes in gray matter structure and function that distinguish neglected children with no other type of maltreatment (Neglect group, n = 23) from typically developing children (TD group, n = 140), and investigated the association between these structural and functional differences and specific psychosocial phenotypes observed in neglected children. Our results showed that the Neglect group had a larger right and left anterior cingulate cortex (R/L.ACC) and smaller left angular gyrus (L.AG) gray matter volume. The larger R/L.ACC was associated with hyperactivity and inattention. Resting-state functional analysis showed increased functional connectivity (FC) between the left supramarginal gyrus (L.SMG) in the salience network (SN) and the right middle frontal gyrus (R.MFG) simultaneously with a decrease in FC with the L.ACC for the same seed. The increased FC for the R.MFG was associated with difficulty in peer problems and depressive symptoms; a mediating effect was evident for depressive symptoms. These results suggest that the structural atypicality of the R/L.ACC indirectly contributes to the disturbed FCs within the SN, thereby exacerbating depressive symptoms in neglected children. In conclusion, exposure to neglect in childhood may lead to maladaptive brain development, particularly neural changes associated with depressive symptoms.
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Affiliation(s)
- Natasha Y S Kawata
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan
| | - Shota Nishitani
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan.
| | - Akiko Yao
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan
| | - Shinichiro Takiguchi
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan
| | - Yoshifumi Mizuno
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan
| | - Sakae Mizushima
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan
| | - Kai Makita
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan
| | - Shoko Hamamura
- Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan
| | - Daisuke N Saito
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan
| | - Hidehiko Okazawa
- Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan; Biomedical Imaging Research Center, University of Fukui, Fukui 910-1193, Japan
| | - Takashi X Fujisawa
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan
| | - Akemi Tomoda
- Research Center for Child Mental Development, University of Fukui, 23-3 Matsuoka-Shimoaizuki, Eiheiji-cho, Fukui 910-1193, Japan; Division of Developmental Higher Brain Functions, United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Fukui 910-1193, Japan; Life Science Innovation Center, University of Fukui, Fukui 910-8507, Japan; Department of Child and Adolescent Psychological Medicine, University of Fukui Hospital, Fukui 910-1193, Japan.
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Watanabe K, Jogia J, Yoshimura R. Editorial: Recent developments in neuroimaging in mood disorders. Front Psychiatry 2024; 15:1371347. [PMID: 38487582 PMCID: PMC10938263 DOI: 10.3389/fpsyt.2024.1371347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/15/2024] [Indexed: 03/17/2024] Open
Affiliation(s)
- Keita Watanabe
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jigar Jogia
- School of Psychology, University of Birmingham, Dubai, United Arab Emirates
| | - Reiji Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
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Chen Z, Xu T, Li Q, Shu Y, Zhou X, Guo T, Liang F. Grey matter abnormalities in major depressive disorder patients with suicide attempts: A systematic review of age-specific differences. Heliyon 2024; 10:e24894. [PMID: 38317985 PMCID: PMC10839985 DOI: 10.1016/j.heliyon.2024.e24894] [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: 07/17/2023] [Revised: 12/29/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
Background Previous studies have reported alterations in brain structure in major depressive disorder (MDD) patients with suicide attempts. However, age-related changes in suicidal MDD patients remain unclear. Methods We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Embase, PubMed, and Web of Science were searched to identify relevant studies from inception to January 2023. All voxel-based and surface-based morphometry studies comparing suicidal MDD patients to MDD or healthy controls were included. Studies were then grouped by age range (old, middle-age, adolescent) and the commonalities and age-related structural brain alterations were summarized. The included studies were evaluated using the Newcastle-Ottawa Scale (NOS). Results A total of 17 studies met the inclusion criteria, including 3 of late-life depression (LLD) patients, 11 of middle-aged depression (MAD) patients, and 3 of adolescent depression (AOD) patients. The majority of studies had moderate to high NOS scores, indicating good quality. Patients in all three age groups exhibited extensive alterations in the lateral, medial, and orbital regions of the frontal lobes. Furthermore, suicidal MAD patients showed a specific decrease in the gray matter volume of the dorsolateral prefrontal cortex compared to suicidal LLD patients. Cortical thickness and left angular gyrus volume were decreased in suicidal MAD and suicidal LLD patients, but increased in suicidal AOD patients. Conclusion This systematic review summarizes structural brain changes in suicidal MDD patients at three age groups: elderly, middle-aged, and adolescent. These findings help elucidate the common circuitry of MDD related to suicide over the lifespan and highlight unique circuitry associated with different ages. These findings may help predict the risk of suicide in MDD patients at different ages.
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Affiliation(s)
- Ziwen Chen
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tao Xu
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qifu Li
- Department of Acupuncture and Moxibustion Rehabilitation, Yunnan University of Chinese Medicine, Kunming, China
| | - Yunjie Shu
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xueli Zhou
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Taipin Guo
- Department of Acupuncture and Moxibustion Rehabilitation, Yunnan University of Chinese Medicine, Kunming, China
| | - Fanrong Liang
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Zheng Y, Xie L, Huang Z, Peng J, Huang S, Guo R, Huang J, Lin Z, Zhuang Z, Yin J, Hou Z, Ma S. Functional dysconnectivity and microstructural impairment of the cortico-thalamo-cortical network in women with rheumatoid arthritis: A multimodal MRI study. Heliyon 2024; 10:e24725. [PMID: 38304809 PMCID: PMC10830510 DOI: 10.1016/j.heliyon.2024.e24725] [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: 06/29/2023] [Revised: 11/29/2023] [Accepted: 01/12/2024] [Indexed: 02/03/2024] Open
Abstract
Background Cognitive deficits are common in rheumatoid arthritis (RA) patients, but the mechanisms remain unclear. We investigated the effective connectivity and structural alterations of the core brain regions in RA patients with cognitive impairment. Methods Twenty-four female patients with RA and twenty-four healthy controls were enrolled. We analyzed abnormal brain activity patterns using functional MRI during the Iowa gambling task (IGT) and core regions effective connectivity using dynamic causal model (DCM). Structural alterations of white matter volume (WMV) and gray matter volume (GMV) were detected using voxel-based morphometry (VBM). Results RA patients showed altered activation patterns of the cortico-thalamo-cortical network, increased coupling strength from the left ventromedial prefrontal gyrus to the anterior cingulate cortex (ACC), the ACC to the right thalamus, and decreased connectivity from the thalamus to left hippocampus. VBM structural analysis showed increased GMV in the bilateral orbital frontal gyrus, bilateral hippocampus and right putamen, and reduced GMV and WMV in the bilateral thalamus in RA patients. Right thalamic GMV and WMV were positively correlated with the right thalamus-to-hippocampus connective strength. Additionally, the bold signal, GMV and WMV of the right thalamus were positively correlated with cognitive performance (IGT score) in RA patients. Conclusion Results suggest a structural and functional deficiency in the cortico-thalamo-cortical network, which is characterized by increased ACC-to-thalamus strength and reduced thalamus-to-hippocampus coupling in RA patients. The cognitive dysfunction may be the result of compensatory measures against imbalanced cortico-thalamic-cortical coupling.
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Affiliation(s)
- Yanmin Zheng
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Lei Xie
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zikai Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jianhua Peng
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuxin Huang
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ruiwei Guo
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jinzhuang Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhirong Lin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zelin Zhuang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jingjing Yin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhiduo Hou
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuhua Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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Andriuta D, Wiener E, Perron A, Ouin E, Masmoudi I, Thibaut W, Martin J, Roussel M, Constans JM, Aarabi A, Godefroy O. Neuroimaging determinants of cognitive impairment in the memory clinic: how important is the vascular burden? J Neurol 2024; 271:504-518. [PMID: 37777991 DOI: 10.1007/s00415-023-12009-1] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/03/2023]
Abstract
While neurodegenerative and vascular neurocognitive disorder (NCD) often co-occur, the contribution of vascular lesions, especially stroke lesions identified on MRI, to global cognition in a real-life memory clinic population remains unclear. The main objective of this retrospective study was to determine NCD neuroimaging correlates: the GM atrophy pattern and vascular lesions (especially stroke lesion localization by voxel-based lesion-symptom mapping, VLSM) in a memory clinic. We included 336 patients with mild or major NCD who underwent cerebral MRI and a neuropsychological assessment. The GM atrophy pattern (obtained by voxel-based morphometry, VBM) and the stroke lesion localization (obtained by VLSM) associated with G5 z-score (a global cognitive score), were included as independent variables with other neuroimaging and clinical indices in a stepwise linear regression model. The mean age was 70.3 years and the mean MMSE score 21.3. On MRI, 75 patients had at least one stroke lesion. The G 5 z-score was associated with GM density in the pattern selected by the VBM analysis (R2 variation = 0.166, p < 0.001) and the presence of a stroke lesion in the region selected by the VSLM analysis (mainly in the right frontal region; R2 variation = 0.018, p = 0.008). The interaction between the two factors was insignificant (p = 0.374). In conclusion, in this first study combining VBM and VLSM analysis in a memory clinic, global cognition was associated with a specific GM atrophy pattern and the presence of a stroke lesion mainly in the right frontal region.
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Affiliation(s)
- Daniela Andriuta
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France.
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France.
| | - Emmanuel Wiener
- Department of Neurology, Versailles - Le Chesnay Medical Center, Le Chesnay-Rocquencourt, France
| | - Alexandre Perron
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Elisa Ouin
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Ines Masmoudi
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - William Thibaut
- Department of Neurology, La Reunion University Medical Center, Site South Saint-Pierre, Saint-Pierre, La Reunion, France
| | - Jeanne Martin
- Department of Neurology, Bretagne Atlantique Medical Center, Vannes, France
| | - Martine Roussel
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Jean-Marc Constans
- Department of Radiology, Amiens University Medical Center, Amiens, France
| | - Ardalan Aarabi
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
| | - Olivier Godefroy
- Department of Neurology, Amiens University Medical Center, Amiens University Hospital, 80054, Amiens, France
- Laboratoire de Neurosciences Fonctionnelles Et Pathologies (UR UPJV 4559), Jules Verne University of Picardy, Amiens, France
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Wei JM, Xia LX. Neural Correlates of Positive Outcome Expectancy for Aggression: Evidence from Voxel-Based Morphometry and Resting-State Functional Connectivity Analysis. Brain Sci 2023; 14:43. [PMID: 38248258 PMCID: PMC10813425 DOI: 10.3390/brainsci14010043] [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: 11/17/2023] [Revised: 12/23/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024] Open
Abstract
Positive outcome expectancy is a crucial cognitive factor influencing aggression, yet its neural basis remains unclear. Therefore, the present study combined voxel-based morphometry (VBM) with a resting-state functional connectivity (RSFC) analysis to investigate the brain correlates of positive outcome expectancy in aggression in young people. In the VBM analysis, multiple linear regression was conducted to explore the relationship between individual differences in aggressive positive outcome expectancy and regional gray matter volume (GMV) among 325 undergraduate students. For the RSFC analysis, seed regions were selected based on the results of the VBM analysis. Subsequently, multiple linear regression was employed to examine whether a significant correlation existed between individual differences in aggressive positive outcome expectancy and the RSFC of seed regions with other brain regions in 304 undergraduate students. The findings indicated that aggressive positive outcome expectancy was positively correlated with GMV in the posterior cingulate cortex (PCC), right temporoparietal junction (TPJ), and medial prefrontal cortex (MPFC). Moreover, it was also positively associated with RSFC between the PCC and the left dorsolateral prefrontal cortex (DLPFC). The prediction analysis indicated robust relationships between aggressive positive outcome expectancy and the GMV in the PCC, right TPJ, as well as the RSFC between the PCC and the left DLPFC. Our research provides the initial evidence for the neural basis of positive outcome expectancy in aggression, suggesting the potential role of the PCC as a hub in its neural network.
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Affiliation(s)
- Jia-Ming Wei
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China;
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing 400715, China
| | - Ling-Xiang Xia
- Research Center of Psychology and Social Development, Faculty of Psychology, Southwest University, Chongqing 400715, China;
- Key Laboratory of Cognition and Personality (Southwest University), Ministry of Education, Chongqing 400715, China
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9
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Langensee L, Spotorno N, Mårtensson J. Beyond the language network: Associations between reading, receptive vocabulary, and grey matter volume in 10-year-olds. Neuropsychologia 2023; 191:108719. [PMID: 37939873 DOI: 10.1016/j.neuropsychologia.2023.108719] [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: 03/20/2023] [Revised: 10/28/2023] [Accepted: 10/30/2023] [Indexed: 11/10/2023]
Abstract
Most research on the neurostructural basis of language abilities in children stems from small samples and surface-based measures. To complement and expand the existent knowledge, we investigated associations between grey matter volume and language performance in a large sample of 9-to-11-year-old children, using data from the Adolescent Brain Cognitive Development (ABCD) Study (N = 1865) and an alternative measure of grey matter morphology. We estimated whole-brain grey matter volume for one half of the sample (N = 939) and tested for correlations with scores on a picture vocabulary and a letter and word reading test, with and without factoring in general intelligence and total grey matter volume as additional covariates. The initial analyses yielded correlations between grey matter in the right occipital fusiform gyrus, the right lingual gyrus, and the cerebellum for both vocabulary and reading. Employing the significant clusters from the first analyses as regions of interest in the second half of the cohort (N = 926) in correlational and multiple regression analyses suggests the cluster in the right occipital fusiform and lingual gyri to be most robust. Overall, the amount of variance explained by grey matter volume is limited and factoring in additional covariates paints an inconsistent picture. The present findings reinforce existent doubt with respect to explaining individual differences in reading and vocabulary performance based on unique contributions of macrostructural brain features.
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Affiliation(s)
- Lara Langensee
- Department of Clinical Sciences, Lund University, Lund, Sweden.
| | - Nicola Spotorno
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
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Wang H, Yu M, Ren J, Zhong X, Xu D, Gao L, Xu H. Neuroanatomical correlates of cognitive impairment following basal ganglia-thalamic post-hemorrhagic stroke: Uncovering network-wide alterations in hemispheric gray matter asymmetry. Brain Res 2023; 1820:148559. [PMID: 37652090 DOI: 10.1016/j.brainres.2023.148559] [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: 04/12/2023] [Revised: 08/16/2023] [Accepted: 08/26/2023] [Indexed: 09/02/2023]
Abstract
Cognitive impairment and recovery are central issues in hemorrhagic stroke. This study aimed to investigate whether post-hemorrhagic stroke cognitive impairment (PhSCI) is associated with cortical gray matter (GM) loss and hemispheric asymmetry changes and whether these changes could predict improvements in cognitive function during the recovery. Nineteen patients with PhSCI, comprising 10 with basal ganglia hemorrhage and 9 with thalamic hemorrhage, were recruited. Among them, 9 completed a course of repetitive transcranial magnetic stimulation (rTMS). Additionally, 19 demographically and comorbidity-matched healthy controls were also included. Structural brain MRI and cognitive assessments were performed. Voxel-wise GM volume and hemispheric asymmetry were analyzed. The PhSCI patients exhibited bilateral, yet asymmetric, GM losses in the hippocampus, fusiform, lateral temporal, prefrontal, somatomotor, and inferior parietal regions. The analysis of GM asymmetry revealed that patients showed rightward GM in the lateral temporal, somatomotor, and inferior parietal regions. Among the 9 PhSCI patients who completed rTMS, there was a marginal trend of regional GM increase and leftward GM, and these changes were in parallel with the improvements in cognitive tests. Further lesion connectivity and metanalytic mapping identified two interconnected systems linked to the lesions, which were anchored in the default mode, somatomotor, and salience/cognitive control networks and in the cognitive domains of memory, language, decision-making, and executive function. In conclusion, PhSCI patients exhibited network-wide cortical GM losses, distal to subcortical hemorrhagic lesions, and hemisphere asymmetry changes. These changes appear to predict rTMS-related cognitive improvements, suggesting that even subcortical focal lesions can lead to alterations in distal cortical neuroanatomical architecture. Our preliminary findings provide new insights into the neuroanatomical basis of PhSCI.
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Affiliation(s)
- Huan Wang
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China
| | - Minhua Yu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China
| | - Jinxia Ren
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China
| | - Xiaoli Zhong
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China
| | - Dan Xu
- Department of Nuclear Medicine, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China.
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City 430071, Hubei Province, China.
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11
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Abstract
In advancing our understanding of tinnitus, some of the more impactful contributions in the past two decades have come from human brain imaging studies, specifically the idea of both auditory and extra-auditory neural networks that mediate tinnitus. These networks subserve both the perception of tinnitus and the psychological reaction to chronic, continuous tinnitus. In this article, we review particular studies that report on the nodes and links of such neural networks and their inter-network connections. Innovative neuroimaging tools have contributed significantly to the increased understanding of anatomical and functional connections of attention, emotion-processing, and default mode networks in adults with tinnitus. We differentiate between the neural correlates of tinnitus and those of comorbid hearing loss; surprisingly, tinnitus and hearing loss when they co-occur are not necessarily additive in their impact and, in rare cases, additional tinnitus may act to mitigate the consequences of hearing loss alone on the brain. The scale of tinnitus severity also appears to have an impact on brain networks, with some of the alterations typically attributed to tinnitus reaching significance only in the case of bothersome tinnitus. As we learn more about comorbid conditions of tinnitus, such as depression, anxiety, hyperacusis, or even aging, their contributions to the network-level changes observed in tinnitus will need to be parsed out in a manner similar to what is currently being done for hearing loss or severity. Together, such studies advance our understanding of the heterogeneity of tinnitus and will lead to individualized treatment plans.
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Affiliation(s)
- Fatima T Husain
- Department of Speech and Hearing Science, University of Illinois Urbana-Champaign, 901 S. Sixth Street, Champaign, IL, 61820, USA.
- Neuroscience Program, University of Illinois Urbana-Champaign, 2355/57 Beckman Institute, 405 North Mathews Avenue, Urbana, IL, 61801, USA.
- The Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801, USA.
| | - Rafay A Khan
- Neuroscience Program, University of Illinois Urbana-Champaign, 2355/57 Beckman Institute, 405 North Mathews Avenue, Urbana, IL, 61801, USA
- The Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801, USA
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Kalc P, Dahnke R, Hoffstaedter F, Gaser C. Low bone mineral density is associated with gray matter volume decrease in UK Biobank. Front Aging Neurosci 2023; 15:1287304. [PMID: 38020770 PMCID: PMC10654785 DOI: 10.3389/fnagi.2023.1287304] [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: 09/01/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Objectives Previous research has found an association of low bone mineral density (BMD) and regional gray matter (GM) volume loss in Alzheimer's disease (AD). We were interested whether BMD is associated with GM volume decrease in brains of a healthy elderly population from the UK Biobank. Materials and methods T1-weighted images from 5,518 women (MAge = 70.20, SD = 3.54; age range: 65-82 years) and 7,595 men (MAge = 70.84, SD = 3.68; age range: 65-82 years) without neurological or psychiatric impairments were included in voxel-based morphometry (VBM) analysis in CAT12 with threshold-free-cluster-enhancement (TFCE) across the whole brain. Results We found a significant decrease of GM volume in women in the superior frontal gyri, middle temporal gyri, fusiform gyri, temporal poles, cingulate gyri, precunei, right parahippocampal gyrus and right hippocampus, right ventral diencephalon, and right pre- and postcentral gyrus. Only small effects were found in men in subcallosal area, left basal forebrain and entorhinal area. Conclusion BMD is associated with low GM volume in women but less in men in regions afflicted in the early-stages of AD even in a sample without neurodegenerative diseases.
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Affiliation(s)
- Polona Kalc
- Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany
| | - Robert Dahnke
- Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany
- Structural Brain Mapping Group, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Felix Hoffstaedter
- Brain and Behaviour (INM-7), Institute of Neuroscience and Medicine, Forschungszentrum Jülich, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Gaser
- Structural Brain Mapping Group, Department of Neurology, Jena University Hospital, Jena, Germany
- Structural Brain Mapping Group, Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- German Center for Mental Health (DZPG), Jena-Halle-Magdeburg, Germany
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Totsune T, Baba T, Sugimura Y, Oizumi H, Tanaka H, Takahashi T, Yoshioka M, Nagamatsu KI, Takeda A. Nuclear Imaging Data-Driven Classification of Parkinson's Disease. Mov Disord 2023; 38:2053-2063. [PMID: 37638533 DOI: 10.1002/mds.29582] [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: 03/09/2023] [Revised: 06/23/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND Parkinson's disease (PD) is a heterogeneous neurodegenerative disorder characterized by motor and nonmotor symptoms. Several features have prognostic importance and have been used as key indicators for identifying clinical subtypes. However, the symptom-based classification approach has limitations with respect to the stability of the obtained subtypes. OBJECTIVES The purpose of this study was to identify subtypes of PD using nuclear imaging biomarkers targeting the cardiac sympathetic nervous and nigro-striatal systems and to compare patterns of cortical morphological change among obtained subtypes. METHODS We performed unbiased hierarchical cluster analysis using 123 I-metaiodobenzylguanidine cardiac scintigraphy and 123 I-N-(3-fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl) nortropane single photon emission computed tomography data for 56 patients with PD. We compared clinical characteristics and the patterns of cortical atrophy in the obtained clusters. RESULTS Three clusters were identified and showed distinct characteristics in onset ages and dopamine-replacement therapy and deep brain stimulation requirements. According to the characteristics, clusters were classified into two subtypes, namely, "cardio-cortical impairment (CC)" and "dopaminergic-dominant dysfunction (DD)" subtype. The three clusters were named according to subtype and time since onset in which 14 patients were classified as "early DD," 25 as "advanced DD," and 17 as "early CC." Compared with the early DD subtype, the early CC subtype showed parietal-dominant diffuse cortical atrophy and the advanced DD subtype showed left-side predominant mild cortical atrophy. CONCLUSIONS Nuclear imaging biomarker-based classification can be used to identify clinically and pathologically relevant PD subtypes with distinct disease trajectories. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Tomoko Totsune
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
- Department of Aging Research and Geriatric Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Toru Baba
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
| | - Yoko Sugimura
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
- Department of Cognitive & Motor Aging, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hideki Oizumi
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
| | - Hiroyasu Tanaka
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
| | - Toshiaki Takahashi
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
| | - Masaru Yoshioka
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
| | - Ken-Ichi Nagamatsu
- Department of Neurosurgery, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
| | - Atsushi Takeda
- Department of Neurology, National Hospital Organization Sendai-Nishitaga Hospital, Sendai, Japan
- Department of Cognitive & Motor Aging, Tohoku University Graduate School of Medicine, Sendai, Japan
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Khodaei M, Dobbins DL, Laurienti PJ, Simpson SL, Arcury TA, Quandt SA, Anderson KA, Scott RP, Burdette JH. Neuroanatomical differences in Latinx children from rural farmworker families and urban non-farmworker families and related associations with pesticide exposure. Heliyon 2023; 9:e21929. [PMID: 38027758 PMCID: PMC10656267 DOI: 10.1016/j.heliyon.2023.e21929] [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: 07/28/2023] [Revised: 08/28/2023] [Accepted: 10/31/2023] [Indexed: 12/01/2023] Open
Abstract
Exposure to pesticides in humans may lead to changes in brain structure and function and increase the likelihood of experiencing neurodevelopmental disorders. Despite the potential risks, there is limited neuroimaging research on the effects of pesticide exposure on children, particularly during the critical period of brain development. Here we used voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) from magnetic resonance images (MRI) to investigate neuroanatomical differences between Latinx children (n = 71) from rural, farmworker families (FW; n = 48) and urban, non-farmworker families (NFW; n = 23). Data presented here serves as a baseline for our ongoing study examining the longitudinal effects of living in a rural environment on neurodevelopment and cognition in children. The VBM analysis revealed that NFW children had higher volume in several distinct regions of white matter compared to FW children. Tract-based spatial statistics (TBSS) of DTI data also indicated NFW children had higher fractional anisotropy (FA) in several key white matter tracts. Although the difference was not as pronounced as white matter, the VBM analysis also found higher gray matter volume in selected regions of the frontal lobe in NFW children. Notably, white matter and gray matter findings demonstrated a high degree of overlap in the medial frontal lobe, a brain region predominantly linked to decision-making, error processing, and attention functions. To gain further insights into the underlying causes of the observed differences in brain structure between the two groups, we examined the association of organochlorine (OC) and organophosphate (OP) exposure collected from passive dosimeter wristbands with brain structure. Based on our previous findings within this data set, demonstrating higher OC exposure in children from non-farmworker families, we hypothesized OC might play a critical role in structural differences between NFW and FW children. We discovered a significant positive correlation between the number of types of OC exposure and the structure of white matter. The regions with significant association with OC exposure were in agreement with the findings from the FW-NFW groups comparison analysis. In contrast, OPs did not have a statistically significant association with brain structure. This study is among the first multimodal neuroimaging studies examining the brain structure of children exposed to agricultural pesticides, specifically OC. These findings suggest OC pesticide exposure may disrupt normal brain development in children, highlighting the need for further neuroimaging studies within this vulnerable population.
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Affiliation(s)
- Mohammadreza Khodaei
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Dorothy L. Dobbins
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Paul J. Laurienti
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Sean L. Simpson
- Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Thomas A. Arcury
- Department of Family and Community Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Sara A. Quandt
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Kim A. Anderson
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
| | - Richard P. Scott
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, OR, USA
| | - Jonathan H. Burdette
- Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
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15
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Wu GR, Baeken C. Normative modeling analysis reveals corpus callosum volume changes in early and mid-to-late first episode major depression. J Affect Disord 2023; 340:10-16. [PMID: 37499915 DOI: 10.1016/j.jad.2023.07.110] [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: 03/20/2023] [Revised: 07/19/2023] [Accepted: 07/23/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND It has been widely accepted that major depressive disorder (MDD) impacts brain structures including the Corpus Callosum (CC). However, this assumption is based on scarce literature data involving small sample sizes. Furthermore, it is still unclear whether such CC volume changes may already be present at a first depressive episode. METHODS To further investigate this question, we compared 369 first-episode MDD patients (mean age = 35 years (sd = 12), 249 females; 283 early onset, 86 mid-to-late onset) from the open-source REST meta-MDD database closely matched for age and gender to 490 never-depressed individuals (mean age = 37 years (sd = 14); 309 females) using Z-scores obtained from normative neuroanatomical modeling to assess individual variability in CC (sub)volumes. RESULTS Relative to the norms established by the healthy controls, first-episode MDD patients displayed CC volume (z-score) reductions in the entire CC (including the body), as did mid-to-late-onset first-episode MDD patients (age ≥ 45 y). In early-onset first-episode MDD patients (age ≤ 44 y), depression severity symptoms were related to volume increases in the entire CC, as well as the body and splenium. LIMITATIONS No data on depressive episode duration. Relatively small sample size for mid-to-late first-episode MDD patients. CONCLUSIONS Our data revealed CC (sub)volume differences in early versus mid-to-late onset first episode MDD. Especially at early onset, depression severity may result in neural white matter activity as potential reaction to stress influences. Our results underline the importance of prompt clinical interventions at early onset MDD.
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Affiliation(s)
- Guo-Rong Wu
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China; Faculty of Medicine and Health Sciences, Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) lab, Ghent University, Ghent, Belgium.
| | - Chris Baeken
- Faculty of Medicine and Health Sciences, Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) lab, Ghent University, Ghent, Belgium; Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Department of Psychiatry, Laarbeeklaan 101, 1090 Brussels, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, the Netherlands
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Carbone C, Balboni E, Beltrami D, Gasparini F, Vinceti G, Gallingani C, Salvatori D, Salemme S, Molinari MA, Tondelli M, Marti A, Chiari A, Zamboni G. Neuroanatomical Correlates of Cognitive Tests in Young-onset MCI. J Integr Neurosci 2023; 22:152. [PMID: 38176949 DOI: 10.31083/j.jin2206152] [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: 06/26/2023] [Revised: 09/08/2023] [Accepted: 09/26/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Mild Cognitive Impairment (MCI) is a heterogeneous condition characterised by cognitive changes that do not affect everyday functioning and may represent a predementia phase. Research on the neuroanatomical correlates of cognitive tests used to diagnose MCI is heterogeneous and has mainly focused on elderly populations of patients with MCI, usually well above the age of 65. However, the effect of ageing on brain structure is known to be substantial and to affect brain-behaviour associations in older people. We explored the brain correlates of different cognitive tests in a group of young-onset MCI (i.e., with symptoms onset before the age of 65) to minimise the effect of ageing on brain-behaviour associations. METHODS Patients with a clinical diagnosis of young-onset MCI underwent extensive cognitive assessment and multimodal Magnetic Resonance Imaging (MRI) including high-resolution T1-weighted and Diffusion Tensor Imaging (DTI) sequences. Their scores on cognitive tests were related to measures of grey matter (GM) density and white matter (WM) integrity using, respectively, Voxel Based Morphometry (VBM) and Tract-Based Spatial Statistics (TBSS). RESULTS 104 young-onset MCI were recruited. VBM and TBSS whole-brain correlational analyses showed that between-subject variability in cognitive performance was significantly associated with regional variability in GM density and WM integrity. While associations between cognitive scores and focal GM density in our young-onset MCI group reflected the well-known lateralization of verbal and visuo-spatial abilities on the left and right hemispheres respectively, the associations between cognitive scores and WM microstructural integrity were widespread and diffusely involved most of the WM tracts in both hemispheres. CONCLUSIONS We investigated the structural neuroanatomical correlates of cognitive tests in young-onset MCI in order to minimise the effect of ageing on brain-behaviour associations.
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Affiliation(s)
- Chiara Carbone
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
| | - Erica Balboni
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Medical Physics Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | - Daniela Beltrami
- Clinical Neuropsychology Unit, Arcispedale S. Maria Nuova di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Federico Gasparini
- Clinical Neuropsychology Unit, Arcispedale S. Maria Nuova di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Giulia Vinceti
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | - Chiara Gallingani
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | - Davide Salvatori
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | - Simone Salemme
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | | | - Manuela Tondelli
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | - Alessandro Marti
- Clinical Neuropsychology Unit, Arcispedale S. Maria Nuova di Reggio Emilia, 42123 Reggio Emilia, Italy
| | - Annalisa Chiari
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
| | - Giovanna Zamboni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy
- Neurology Unit, Azienda Ospedaliero-Universitaria di Modena, 41125 Modena, Italy
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Xu M, Ju XD. A meta-analysis of gray matter volume abnormalities in HIV patients. Psychiatry Res Neuroimaging 2023; 335:111722. [PMID: 37862957 DOI: 10.1016/j.pscychresns.2023.111722] [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: 05/26/2023] [Revised: 08/31/2023] [Accepted: 10/02/2023] [Indexed: 10/22/2023]
Abstract
HIV infection is known to have significant effects on central nervous system. This study conducted a meta-analysis of whole voxel-based morphometry (VBM) in HIV patients (N = 435) and HIV-uninfected controls (N = 397). This study observed a reduction of limbic lobe, cingulate gyrus, frontal lobe, middle frontal gyrus, sub-lobar, insula, inferior frontal gyrus and superior frontal gyrus volume in HIV patients. These morphological differences may be responsible for cognitive decline in HIV patients, as these brain regions are closely related to motor and memory functions. These results contribute to a better understanding of the neural mechanisms underlying brain injury in HIV patients and could help develop targeted brain targets, provide more personalized treatment and predict neurodevelopmental outcomes.
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Affiliation(s)
- Mingxiang Xu
- School of Psychology, Northeast Normal University, No. 5268 Renmin Street, Changchun 130024, China
| | - Xing-Da Ju
- School of Psychology, Northeast Normal University, No. 5268 Renmin Street, Changchun 130024, China; Jilin Provincial Key Laboratory of Cognitive Neuroscience and Brain Development, Changchun,Jilin 130024, China.
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18
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Manso-Ortega L, De Frutos-Sagastuy L, Gisbert-Muñoz S, Salamon N, Qiao J, Walshaw P, Quiñones I, Połczyńska MM. Grey Matter Reshaping of Language-Related Regions Depends on Tumor Lateralization. Cancers (Basel) 2023; 15:3852. [PMID: 37568668 PMCID: PMC10417790 DOI: 10.3390/cancers15153852] [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: 06/12/2023] [Revised: 07/12/2023] [Accepted: 07/25/2023] [Indexed: 08/13/2023] Open
Abstract
A brain tumor in the left hemisphere can decrease language laterality as assessed through fMRI. However, it remains unclear whether or not this decreased language laterality is associated with a structural reshaping of the grey matter, particularly within the language network. Here, we examine if the disruption of the language hubs exclusively affects the macrostructural properties of the contralateral homologues or whether it affects both hemispheres. This study uses voxel-based morphometry applied to high-resolution MR T1-weighted MPRAGE images from 31 adult patients' left hemisphere, which is dominant for language. Eighteen patients had brain tumors in the left hemisphere, and thirteen had tumors in the right hemisphere. A cohort of 71 healthy individuals matched with respect to age and sex was used as a baseline. We defined 10 ROIs per hemisphere involved in language function. Two separate repeated-measure ANOVAs were conducted with the volume per region as the dependent variable. For the patients, tumor lateralization (right versus left) served as a between-subject factor. The current study demonstrated that the presence of a brain tumor generates global volumetric changes affecting the left language regions and their contralateral homologues. These changes are mediated by the lateralization of the lesion. Our findings suggest that functional mechanisms are supported by the rearrangement of the grey matter.
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Affiliation(s)
- Lucía Manso-Ortega
- Neurobiology of Language Group, Basque Center on Cognition, Brain and Language (BCBL), 20009 Donostia-San Sebastián, Spain; (L.D.F.-S.); (S.G.-M.)
- Department of Basque Language and Communication, University of the Basque Country, UPV/EHU, 48940 Bilbao, Spain
| | - Laura De Frutos-Sagastuy
- Neurobiology of Language Group, Basque Center on Cognition, Brain and Language (BCBL), 20009 Donostia-San Sebastián, Spain; (L.D.F.-S.); (S.G.-M.)
| | - Sandra Gisbert-Muñoz
- Neurobiology of Language Group, Basque Center on Cognition, Brain and Language (BCBL), 20009 Donostia-San Sebastián, Spain; (L.D.F.-S.); (S.G.-M.)
- Department of Basque Language and Communication, University of the Basque Country, UPV/EHU, 48940 Bilbao, Spain
| | - Noriko Salamon
- Department of Radiology, University of California, Los Angeles, CA 92093, USA; (N.S.); (J.Q.)
| | - Joe Qiao
- Department of Radiology, University of California, Los Angeles, CA 92093, USA; (N.S.); (J.Q.)
| | - Patricia Walshaw
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 92093, USA; (P.W.); (M.M.P.)
| | - Ileana Quiñones
- Neurobiology of Language Group, Basque Center on Cognition, Brain and Language (BCBL), 20009 Donostia-San Sebastián, Spain; (L.D.F.-S.); (S.G.-M.)
- IKERBASQUE, Basque Foundation for Science, Plaza Euskadi 5, 48009 Bilbao, Spain
| | - Monika M. Połczyńska
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA 92093, USA; (P.W.); (M.M.P.)
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Brinker D, Granert O, Gövert F, Tödt I, Baumann A, Zeuner KE, Wolke R, Deuschl G, Becktepe JS. Grey matter correlates of dystonic soft signs in essential tremor. Parkinsonism Relat Disord 2023; 112:105457. [PMID: 37245277 DOI: 10.1016/j.parkreldis.2023.105457] [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: 02/20/2023] [Revised: 05/15/2023] [Accepted: 05/22/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Questionable signs of dystonia are a common finding in patients with essential tremor (ET). Brain structural alterations in ET patients plus dystonic soft signs (ET + ds) in comparison to ET patients without dystonic soft signs (ET-ds) or patients with tremor associated with manifest dystonia (TAWD) have not been examined yet. Therefore, our study aims to explore alterations of brain grey matter in patients with ET + ds. METHODS A total of 68 elderly patients with ET-ds (n = 32), ET + ds (n = 20) or idiopathic cervical dystonia with dystonia associated action tremor of the upper limbs (TAWD, n = 16) and 42 age-matched healthy controls underwent a clinical and electrophysiological assessment and 3T MRI. For grey matter alterations T1 MRI images were analysed by voxel-based morphometry. Additionally, regression analyses with clinical parameters (tremor frequency, severity and disease duration) were performed. RESULTS VBM showed a significant increase of grey matter in the right lentiform nucleus in ET + ds and TAWD compared to HC and ET-ds. Further, an increase of cortical grey matter in the middle frontal gyrus in ET + ds was shown. The hypertrophy of the lentiform nucleus in ET + ds was correlated with disease severity and duration. CONCLUSION Patients with ET + ds showed grey matter brain structural alterations similar to TAWD. Our findings suggest an involvement of the basal ganglia-cortical loop in ET + ds which may indicate a pathophysiological similarity with TAWD rather than ET.
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Affiliation(s)
- Dana Brinker
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Oliver Granert
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Felix Gövert
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Inken Tödt
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Alexander Baumann
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Kirsten E Zeuner
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Robin Wolke
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Günther Deuschl
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany
| | - Jos S Becktepe
- Department of Neurology, UKSH, Christian-Albrechts University Kiel, Germany.
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20
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Demnitz N, Gates AT, Mortensen EL, Garde E, Wimmelmann CL, Siebner HR, Kjaer M, Boraxbekk CJ. Is it all in the baseline? Trajectories of chair stand performance over 4 years and their association with grey matter structure in older adults. Hum Brain Mapp 2023. [PMID: 37219945 DOI: 10.1002/hbm.26346] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 04/25/2023] [Accepted: 05/01/2023] [Indexed: 05/24/2023] Open
Abstract
Understanding individual variability in response to physical activity is key to developing more effective and personalised interventions for healthy ageing. Here, we aimed to unpack individual differences by using longitudinal data from a randomised-controlled trial of a 12-month muscle strengthening intervention in older adults. Physical function of the lower extremities was collected from 247 participants (66.3 ± 2.5 years) at four time-points. At baseline and at year 4, participants underwent 3 T MRI brain scans. K-means longitudinal clustering was used to identify patterns of change in chair stand performance over 4 years, and voxel-based morphometry was applied to map structural grey matter volume at baseline and year 4. Results identified three groups showing trajectories of poor (33.6%), mid (40.1%), and high (26.3%) performance. Baseline physical function, sex, and depressive symptoms significantly differed between trajectory groups. High performers showed greater grey matter volume in the motor cerebellum compared to the poor performers. After accounting for baseline chair stand performance, participants were re-assigned to one of four trajectory-based groups: moderate improvers (38.9%), maintainers (38.5%), improvers (13%), and decliners (9.7%). Clusters of significant grey matter differences were observed between improvers and decliners in the right supplementary motor area. Trajectory-based group assignments were unrelated to the intervention arms of the study. In conclusion, patterns of change in chair stand performance were associated with greater grey matter volumes in cerebellar and cortical motor regions. Our findings emphasise that how you start matters, as baseline chair stand performance was associated with cerebellar volume 4 years later.
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Affiliation(s)
- Naiara Demnitz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
| | - Anne T Gates
- Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Erik L Mortensen
- Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ellen Garde
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
- Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cathrine L Wimmelmann
- Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
- Department of Neurology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Institute for Clinical Medicine, Faculty of Medical and Health sciences, Copenhagen University, Copenhagen, Denmark
| | - Michael Kjaer
- Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Center for Healthy Aging, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Carl-Johan Boraxbekk
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Denmark
- Institute of Sports Medicine Copenhagen (ISMC), Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Institute for Clinical Medicine, Faculty of Medical and Health sciences, Copenhagen University, Copenhagen, Denmark
- Department of Radiation Sciences, Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
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21
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Zilioli A, Misirocchi F, Mutti C, Pancaldi B, Mannini E, Spallazzi M, Parrino L, Cerasti D, Michiara M, Florindo I. Volumetric hippocampal changes in glioblastoma: a biomarker for neuroplasticity? J Neurooncol 2023; 163:261-267. [PMID: 37178276 DOI: 10.1007/s11060-023-04315-5] [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: 03/28/2023] [Accepted: 04/17/2023] [Indexed: 05/15/2023]
Abstract
PURPOSE The pleiotropic effect of gliomas on the development of cognitive disorders and structural brain changes has garnered increasing interest in recent years. While it is widely accepted that multimodal therapies for brain cancer can foster cognitive impairment, the direct effect of gliomas on critical cognitive areas before anti-tumor therapies is still controversial. In this study, we focused on the effect of IDH1 wild-type glioblastoma on the human hippocampus volume. METHODS We carried out a case-control study using voxel-based morphometry assessment, analyzed with the Computational Anatomy Toolbox software. Glioblastoma diagnosis was performed according to the latest 2021 WHO classification. Due to stringent inclusion criteria, 15 patients affected by IDH1 wild type glioblastoma were included and compared to 19 age-matched controls. RESULTS We observed a statistically significant increase in the absolute mean hippocampal volume (p = 0.017), as well as in the ipsilateral (compared to the lesion, p = 0.027) and the contralateral hippocampal volumes (p = 0.014) in the group of patients. When the data were normalized per total intracranial volume, we confirmed a statistically significant increase only in the contralateral hippocampal volume (p = 0.042). CONCLUSIONS To the best of our knowledge, this is the first study to explore hippocampal volumetric changes in a cohort of adult patients affected by IDH1 wild-type glioblastoma, according to the latest WHO classification. We demonstrated an adaptive volumetric response of the hippocampus, which was more pronounced on the side contralateral to the lesion, suggesting substantial integrity and resilience of the medial temporal structures before the initiation of multimodal treatments.
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Affiliation(s)
- Alessandro Zilioli
- Department of Medicine and Surgery, Unit of Neurology, University of Parma, Parma, Italy.
| | - Francesco Misirocchi
- Department of Medicine and Surgery, Unit of Neurology, University of Parma, Parma, Italy
| | - Carlotta Mutti
- Sleep Disorders Center, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Beatrice Pancaldi
- Department of Medicine and Surgery, Unit of Neurology, University of Parma, Parma, Italy
| | - Elisa Mannini
- Department of Medicine and Surgery, Unit of Neurology, University of Parma, Parma, Italy
| | - Marco Spallazzi
- Department of Medicine and Surgery, Unit of Neurology, University Hospital of Parma, Parma, Italy
| | - Liborio Parrino
- Department of Medicine and Surgery, Unit of Neurology, University of Parma, Parma, Italy
- Sleep Disorders Center, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Davide Cerasti
- Neuroradiology Unit, University Hospital of Parma, Parma, Italy
| | - Maria Michiara
- Department of Medicine and Surgery, Unit of Oncology, University of Parma, Parma, Italy
| | - Irene Florindo
- Department of Medicine and Surgery, Unit of Neurology, University Hospital of Parma, Parma, Italy
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22
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Bhome R, Thomas GEC, Zarkali A, Weil RS. Structural and Functional Imaging Correlates of Visual Hallucinations in Parkinson's Disease. Curr Neurol Neurosci Rep 2023:10.1007/s11910-023-01267-1. [PMID: 37126201 DOI: 10.1007/s11910-023-01267-1] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/12/2023] [Indexed: 05/02/2023]
Abstract
PURPOSE OF REVIEW To review recent structural and functional MRI studies of visual hallucinations in Parkinson's disease. RECENT FINDINGS Previously, neuroimaging had shown inconsistent findings in patients with Parkinson's hallucinations, especially in studies examining grey matter volume. However, recent advances in structural and functional MRI techniques allow better estimates of structural connections, as well as the direction of connectivity in functional MRI. These provide more sensitive measures of changes in structural connectivity and allow models of the changes in directional functional connectivity to be tested. We identified 27 relevant studies and found that grey matter imaging continues to show heterogeneous findings in Parkinson's patients with visual hallucinations. Newer approaches in diffusion imaging and functional MRI are consistent with emerging models of Parkinson's hallucinations, suggesting shifts in attentional networks. In particular, reduced bottom-up, incoming sensory information, and over-weighting of top-down signals appear to be important drivers of visual hallucinations in Parkinson's disease.
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Affiliation(s)
- Rohan Bhome
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK.
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
| | | | - Angeliki Zarkali
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Rimona Sharon Weil
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, UK
- Movement Disorders Centre, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3AR, UK
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23
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Avnioglu S, Sahin C, Cankaya S, Ozen O, Dikici R, Yilmaz H, Velioglu HA, Yulug B. Decreased frontal and orbital volumes and increased cerebellar volumes in patients with anosmia Of Unknown origin: A subtle connection? J Psychiatr Res 2023; 160:86-92. [PMID: 36791532 DOI: 10.1016/j.jpsychires.2023.01.015] [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: 09/01/2022] [Revised: 01/03/2023] [Accepted: 01/09/2023] [Indexed: 01/13/2023]
Abstract
PURPOSE Neuroimaging studies have shown that anosmia is accompanied by a decreased olfactory bulb volume, yet little is known about alterations in cerebral and cerebellar lobule volumes. The purpose of this study was to investigate structural brain alterations in anosmic patients. METHODS Sixteen anosmic patients (mean age 42.62 ± 16.57 years; 6 women and 10 men) and 16 healthy controls (mean age 43.37 ± 18.98 years; 9 women and 7 men) were included in this retrospective study. All subjects who underwent magnetic resonance imaging scans were analyzed using VolBrain and voxel-based morphometry after olfactory testing. RESULTS Despite being statistically insignificant, analysis using VBM revealed greater gray matter (GM) and white matter in the anosmia group compared to the healthy subjects. However, decreased GM (p < 0.001) and increased cerebellar (p = 0.046) volumes were observed in the anosmic patients. CONCLUSIONS The study revealed structural brain alterations in specific areas beyond the olfactory bulb. Our results indicate that the cerebellum may play an exceptional role in the olfactory process and that this will be worth evaluating with further dynamic neuroimaging studies.
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Affiliation(s)
- Seda Avnioglu
- Alanya Alaaddin Keykubat University Faculty of Medicine, Department of Anatomy, Antalya, Turkey.
| | - Caner Sahin
- Alanya Alaaddin Keykubat University Faculty of Medicine, Department of Ear, Nose and Throat, Antalya, Turkey.
| | - Seyda Cankaya
- Alanya Alaaddin Keykubat University, Faculty of Medicine, Department of Neurology, Antalya, Turkey.
| | - Ozkan Ozen
- Alanya Alaaddin Keykubat University, Faculty of Medicine, Department of Radiology, Antalya, Turkey.
| | - Rumeysa Dikici
- Alanya Alaaddin Keykubat University Faculty of Medicine, Department of Anatomy, Antalya, Turkey.
| | - Halil Yilmaz
- Nevsehir Haci Bektas Veli University, Kozakli Vocational School, Department of Therapy and Rehabilitation, Nevsehir, Turkey.
| | - Halil Aziz Velioglu
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden.
| | - Burak Yulug
- Alanya Alaaddin Keykubat University, Faculty of Medicine, Department of Neurology, Antalya, Turkey.
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24
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Ramanoël S, Durteste M, Perot V, Habas C, Arleo A. An Appraisal of the Role of the Neocerebellum for Spatial Navigation in Healthy Aging. Cerebellum 2023; 22:235-239. [PMID: 35257295 PMCID: PMC9985570 DOI: 10.1007/s12311-022-01389-1] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
Abstract
Spatial navigation is an intricate ability, requiring multisensory and motor integration, that is particularly impacted in aging. The age-related decline in navigational capabilities is known to be associated with changes in brain regions such as the frontal, temporal, and cerebellar cortices. Age-related cerebellar differences in spatial navigation have generally been ascribed to motor impairments, omitting the central role of this structure in several cognitive processes. In the present voxel-based morphometric study, we investigated gray matter volume loss in older adults across cognitive and motor subregions of the cerebellum. Specifically, we hypothesized that age-related gray matter differences would occur mainly in cerebellar regions involved in cognitive processing. Our results showed a significant age-related atrophy in the left neocerebellum of healthy older adults that includes Crus I and lobule VI. The latter are important nodes in the network that subtends cognitive abilities such as object recognition and spatial cognition. This exploratory work sets the ground for future research to investigate the extent of the neocerebellum's contribution to spatial navigation deficits in aging.
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Affiliation(s)
- Stephen Ramanoël
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France.
- Université Côte d'Azur, LAMHESS, Nice, France.
| | - Marion Durteste
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | | | - Christophe Habas
- CHNO Des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, 75012, Paris, France
- Université Versailles St Quentin en Yvelines, Paris Saclay, 78180, Montigny-Le-Bretonneux, France
| | - Angelo Arleo
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
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25
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Heinzinger N, Maass A, Berron D, Yakupov R, Peters O, Fiebach J, Villringer K, Preis L, Priller J, Spruth EJ, Altenstein S, Schneider A, Fliessbach K, Wiltfang J, Bartels C, Jessen F, Maier F, Glanz W, Buerger K, Janowitz D, Perneczky R, Rauchmann BS, Teipel S, Killimann I, Göerß D, Laske C, Munk MH, Spottke A, Roy N, Heneka MT, Brosseron F, Dobisch L, Ewers M, Dechent P, Haynes JD, Scheffler K, Wolfsgruber S, Kleineidam L, Schmid M, Berger M, Düzel E, Ziegler G. Exploring the ATN classification system using brain morphology. Alzheimers Res Ther 2023; 15:50. [PMID: 36915139 PMCID: PMC10009950 DOI: 10.1186/s13195-023-01185-x] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 02/08/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND The NIA-AA proposed amyloid-tau-neurodegeneration (ATN) as a classification system for AD biomarkers. The amyloid cascade hypothesis (ACH) implies a sequence across ATN groups that patients might undergo during transition from healthy towards AD: A-T-N-➔A+T-N-➔A+T+N-➔A+T+N+. Here we assess the evidence for monotonic brain volume decline for this particular (amyloid-conversion first, tau-conversion second, N-conversion last) and alternative progressions using voxel-based morphometry (VBM) in a large cross-sectional MRI cohort. METHODS We used baseline data of the DELCODE cohort of 437 subjects (127 controls, 168 SCD, 87 MCI, 55 AD patients) which underwent lumbar puncture, MRI scanning, and neuropsychological assessment. ATN classification was performed using CSF-Aβ42/Aβ40 (A+/-), CSF phospho-tau (T+/-), and adjusted hippocampal volume or CSF total-tau (N+/-). We compared voxel-wise model evidence for monotonic decline of gray matter volume across various sequences over ATN groups using the Bayesian Information Criterion (including also ROIs of Braak stages). First, face validity of the ACH transition sequence A-T-N-➔A+T-N-➔A+T+N-➔A+T+N+ was compared against biologically less plausible (permuted) sequences among AD continuum ATN groups. Second, we evaluated evidence for 6 monotonic brain volume progressions from A-T-N- towards A+T+N+ including also non-AD continuum ATN groups. RESULTS The ACH-based progression A-T-N-➔A+T-N-➔A+T+N-➔A+T+N+ was consistent with cognitive decline and clinical diagnosis. Using hippocampal volume for operationalization of neurodegeneration (N), ACH was most evident in 9% of gray matter predominantly in the medial temporal lobe. Many cortical regions suggested alternative non-monotonic volume progressions over ACH progression groups, which is compatible with an early amyloid-related tissue expansion or sampling effects, e.g., due to brain reserve. Volume decline in 65% of gray matter was consistent with a progression where A status converts before T or N status (i.e., ACH/ANT) when compared to alternative sequences (TAN/TNA/NAT/NTA). Brain regions earlier affected by tau tangle deposition (Braak stage I-IV, MTL, limbic system) present stronger evidence for volume decline than late Braak stage ROIs (V/VI, cortical regions). Similar findings were observed when using CSF total-tau for N instead. CONCLUSION Using the ATN classification system, early amyloid status conversion (before tau and neurodegeneration) is associated with brain volume loss observed during AD progression. The ATN system and the ACH are compatible with monotonic progression of MTL atrophy. TRIAL REGISTRATION DRKS00007966, 04/05/2015, retrospectively registered.
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Affiliation(s)
- Nils Heinzinger
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany. .,Institute of Cognitive Neurology and Dementia Research (IKND), University Hospital Magdeburg, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Anne Maass
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), University Hospital Magdeburg, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - David Berron
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), University Hospital Magdeburg, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), University Hospital Magdeburg, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Oliver Peters
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Jochen Fiebach
- Center for Stroke Research Berlin, Charité-Universitätsmedizin, Berlin, Germany
| | - Kersten Villringer
- Center for Stroke Research Berlin, Charité-Universitätsmedizin, Berlin, Germany
| | - Lukas Preis
- Department of Psychiatry, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany
| | - Josef Priller
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany.,Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany.,University of Edinburgh and UK DRI, Edinburgh, UK
| | - Eike Jacob Spruth
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Slawek Altenstein
- German Center for Neurodegenerative Diseases (DZNE), Berlin, Germany.,Department of Psychiatry and Psychotherapy, Charité, Berlin, Germany
| | - Anja Schneider
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Klaus Fliessbach
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Jens Wiltfang
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.,Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany.,Department of Medical Sciences, Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Claudia Bartels
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, University of Göttingen, Göttingen, Germany
| | - Frank Jessen
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Franziska Maier
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Wenzel Glanz
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Katharina Buerger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Daniel Janowitz
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Stefan Teipel
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Ingo Killimann
- German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.,Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Doreen Göerß
- Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany
| | - Christoph Laske
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Matthias H Munk
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,Section for Dementia Research, Hertie Institute for Clinical Brain Research and Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Annika Spottke
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurology, University of Bonn, Bonn, Germany
| | - Nina Roy
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael T Heneka
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Frederic Brosseron
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Laura Dobisch
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Michael Ewers
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Peter Dechent
- MR-Research in Neurosciences, Department of Cognitive Neurology, Georg-August-University Göttingen, Göttingen, Germany
| | - John Dylan Haynes
- Bernstein Center for Computational Neuroscience, Charité-Universitätsmedizin, Berlin, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Steffen Wolfsgruber
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Department of Neurodegenerative Diseases and Geriatric Psychiatry/Psychiatry, University of Bonn Medical Center, Bonn, Germany
| | - Luca Kleineidam
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Matthias Schmid
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Institute for Medical Biometry, University Hospital Bonn, Bonn, Germany
| | - Moritz Berger
- Institute for Medical Biometry, University Hospital Bonn, Bonn, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), University Hospital Magdeburg, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Gabriel Ziegler
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.,Institute of Cognitive Neurology and Dementia Research (IKND), University Hospital Magdeburg, Otto-von-Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
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Zengaffinen F, Stahnke A, Furger S, Wiest R, Dierks T, Strik W, Morishima Y. Computational analysis on verbal fluency reveals heterogeneity in subjective language interests and brain structure. Neuroimage Rep 2023; 3:100159. [PMID: 38606311 PMCID: PMC7615821 DOI: 10.1016/j.ynirp.2023.100159] [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] [Indexed: 02/22/2023]
Abstract
Language is an essential higher cognitive function in humans and is often affected by psychiatric and neurological disorders. Objective measures like the verbal fluency test are often used to determine language dysfunction. Recent applications of computational approaches broaden insights into language-related functions. In addition, individuals diagnosed with a psychiatric or neurological disorder also often report subjective difficulties in language-related functions. Therefore, we investigated the association between objective and subjective measures of language functioning, on the one hand, and inter-individual structural variations in language-related brain areas, on the other hand. We performed a Latent Semantic analysis (LSA) on a semantic verbal fluency task in 101 healthy adult participants. To investigate if these objective measures are associated with a subjective one, we examined assessed subjective natural tendency of interest in language-related activity with a study-specific questionnaire. Lastly, a voxel-based brain morphometry (VBM) was conducted to reveal associations between objective (LSA) measures and structural changes in language-related brain areas. We found a positive correlation between the LSA measure cosine similarity and the subjective interest in language. Furthermore, we found that higher cosine similarity corresponds to higher gray matter volume in the right cerebellum. The results suggest that people with higher interests in language access semantic knowledge in a more organized way exhibited by higher cosine similarity and have larger grey matter volume in the right cerebellum, when compared to people with lower interests. In conclusion, we demonstrate that there is inter-individual diverseness of accessing the semantic knowledge space and that it is associated with subjective language interests as well as structural differences in the right cerebellum.
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Affiliation(s)
- Francilia Zengaffinen
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Antje Stahnke
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Stephan Furger
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Roland Wiest
- University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, University of Bern, Bern, Switzerland
| | - Thomas Dierks
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Werner Strik
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Yosuke Morishima
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
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Onishi H, Nagasaka K, Yokota H, Kojima S, Ohno K, Sakurai N, Kodama N, Sato D, Otsuru N. Association between somatosensory sensitivity and regional gray matter volume in healthy young volunteers: a voxel-based morphometry study. Cereb Cortex 2023; 33:2001-2010. [PMID: 35580840 PMCID: PMC9977372 DOI: 10.1093/cercor/bhac188] [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: 03/22/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Two-point discrimination (2PD) test reflects somatosensory spatial discrimination ability, but evidence on the relationship between 2PD and cortical gray matter (GM) volume is limited. This study aimed to analyze the relationship between cortical GM volume and 2PD threshold in young healthy individuals and to clarify the characteristics of brain structure reflecting the individual differences in somatosensory function. 2PD was measured in 42 healthy (20 females) volunteers aged 20-32 years using a custom-made test system that can be controlled by a personal computer. The 2PD of the right index finger measured with this device has been confirmed to show good reproducibility. T1-weighted images were acquired using a 3-T magnetic resonance imaging scanner for voxel-based morphometry analysis. The mean 2PD threshold was 2.58 ± 0.54 mm. Whole-brain multiple regression analysis of the relationship between 2PD and GM volume showed that a lower 2PD threshold (i.e. better somatosensory function) significantly correlated with decreased GM volume from the middle temporal gyrus to the inferior parietal lobule (IPL) in the contralateral hemisphere. In conclusion, a lower GM volume in the middle temporal gyrus and IPL correlates with better somatosensory function. Thus, cortical GM volume may be a biomarker of somatosensory function.
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Affiliation(s)
- Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Kazuaki Nagasaka
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Hirotake Yokota
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Sho Kojima
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Ken Ohno
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Noriko Sakurai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Naoki Kodama
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Daisuke Sato
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Health and Sports, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
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Stalter J, Yogeswaran V, Vogel W, Sörös P, Mathys C, Witt K. The impact of aging on morphometric changes in the cerebellum: A voxel-based morphometry study. Front Aging Neurosci 2023; 15:1078448. [PMID: 36743442 PMCID: PMC9895411 DOI: 10.3389/fnagi.2023.1078448] [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: 10/24/2022] [Accepted: 01/05/2023] [Indexed: 01/22/2023] Open
Abstract
Introduction Aging influences the morphology of the central nervous system. While several previous studies focused on morphometric changes of the supratentorial parts, investigations on age-related cerebellar changes are rare. The literature concerning the morphological changes in the cerebellum is heterogenous depending (i) on the methods used (cerebellar analysis in the context of a whole brain analysis or specific methods for a cerebellar analysis), (ii) the life span that was investigated, and (iii) the analytic approach (i.e., using linear or non-linear methods). Methods We fill this research gap by investigating age-dependent cerebellar changes in the aging process occurring before the age of 70 in healthy participants, using non-linear methods and the spatially unbiased infratentorial template (SUIT) toolbox which is specifically developed to examine the cerebellum. Furthermore, to derive an overview of the possible behavioral correlates, we relate our findings to functional maps of the cerebellum. Twenty-four older participants (mean age 64.42 years, SD ± 4.8) and 25 younger participants (mean age 24.6 years, SD ± 2.14) were scanned using a 3 T-MRI, and the resulting data were processed using a SUIT. Results Gray matter (GM) volume loss was found in older participants in three clusters in the right cerebellar region, namely crus I/II and lobule VI related to the frontoparietal network, with crus I being functionally related to the default-mode network and lobule VI extending into vermis VIIa related to the ventral-attention-network. Discussion Our results underline an age-related decline in GM volume in the right cerebellar regions that are functionally predominantly related to non-motor networks and cognitive tasks regions of the cerebellum before the age of 70.
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Affiliation(s)
- Johannes Stalter
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,*Correspondence: Johannes Stalter,
| | - Vinuya Yogeswaran
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Wolfgang Vogel
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Peter Sörös
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,Center of Neurosensory Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
| | - Christian Mathys
- Center of Neurosensory Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,Institute of Radiology and Neuroradiology, Evangelical Hospital Oldenburg, Oldenburg, Germany
| | - Karsten Witt
- Department of Neurology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany,Center of Neurosensory Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany
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Pagani E, Storelli L, Pantano P, Petsas N, Tedeschi G, Gallo A, De Stefano N, Battaglini M, Rocca MA, Filippi M. Multicenter data harmonization for regional brain atrophy and application in multiple sclerosis. J Neurol 2023; 270:446-459. [PMID: 36152049 DOI: 10.1007/s00415-022-11387-2] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND In multiple sclerosis (MS), determination of regional brain atrophy is clinically relevant. However, analysis of large datasets is rare because of the increased variability in multicenter data. PURPOSE To compare different methods to correct for center effects. To investigate regional gray matter (GM) volume in relapsing-remitting MS in a large multicenter dataset. METHODS MRI scans of 466 MS patients and 279 healthy controls (HC) were retrieved from the Italian Neuroimaging Network Initiative repository. Voxel-based morphometry was performed. The center effect was accounted for with different methods: (a) no correction, (b) factor in the statistical model, (c) ComBat method and (d) subsampling procedure to match single-center distributions. By applying the best correction method, GM atrophy was assessed in MS patients vs HC and according to clinical disability, disease duration and T2 lesion volume. Results were assessed voxel-wise using general linear model. RESULTS The average residuals for the harmonization methods were 5.03 (a), 4.42 (b), 4.26 (c) and 2.98 (d). The comparison between MS patients and HC identified thalami and other deep GM nuclei, the cerebellum and several cortical regions. At single-center analysis, the thalami were always involved, whereas different other regions were found in each center. Cerebellar atrophy correlated with clinical disability, while deep GM nuclei atrophy correlated with T2-lesion volume. CONCLUSION Harmonization based on subsampling more effectively decreased the residuals of the statistical model applied. In comparison with findings from single-center analysis, the multicenter results were more robust, highlighting the importance of data repositories from multiple centers.
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Affiliation(s)
- Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Loredana Storelli
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Patrizia Pantano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.,IRCCS NEUROMED, Pozzilli, Italy
| | - Nikolaos Petsas
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy. .,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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Tymofiyeva O, Hu R, Kidambi R, Nguyen C, Max JE, Yang TT. A meta-analysis of brain morphometric aberrations in adolescents who experienced childhood trauma. Front Hum Neurosci 2022; 16:1022791. [PMID: 36561836 PMCID: PMC9764002 DOI: 10.3389/fnhum.2022.1022791] [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: 08/19/2022] [Accepted: 11/09/2022] [Indexed: 12/12/2022] Open
Abstract
Introduction Childhood trauma is known to have dramatic effects on the risks for developing psychiatric disorders and increased suicidality. We conducted a meta-analysis of whole brain voxel-based morphometry (VBM) correlates of childhood trauma in adolescents exposed to childhood maltreatment (N = 379) and unexposed controls (N = 348). Methods Anisotropic effect size-signed differential mapping (AES-SDM) was utilized to synthesize the studies. Results We observed increased volume amongst adolescents with a history of childhood trauma in regions that are involved in motor functions and language production: left precentral gyrus, including part of the left inferior frontal gyrus, left fibers of the body of corpus callosum, and left postcentral gyrus. We observed decreased volume amongst adolescents with a history of childhood trauma in regions that are involved in language processing and/or sensory processing: bilateral cerebellum, bilateral middle temporal gyrus, left rostrum of corpus callosum, and bilateral supramarginal gyrus. Discussion We suggest that these morphometric differences may be reflective of impaired motor development and increased sensory sensitivity and hypervigilance in adolescents with experiences of childhood trauma. Our results differ from meta-analytical findings in adults with history of childhood trauma and may contribute to a better understanding of neural mechanisms of childhood trauma, prediction of neurodevelopmental outcomes, and development of more effective and personalized therapies.
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Affiliation(s)
- Olga Tymofiyeva
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States,*Correspondence: Olga Tymofiyeva,
| | - Rebecca Hu
- Department of Psychiatry and Behavioral Sciences, The Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States,Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Roma Kidambi
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Ca Nguyen
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States
| | - Jeffrey E. Max
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States,Rady Children’s Hospital, San Diego, CA, United States
| | - Tony T. Yang
- Department of Psychiatry and Behavioral Sciences, The Langley Porter Psychiatric Institute, University of California, San Francisco, San Francisco, CA, United States,Division of Child and Adolescent Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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31
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Hamamoto Y, Yu Y, Asada R, Mizuno S, Hasegawa D. Age-related brain atrophy in cats without apparent neurological and behavioral signs using voxel-based morphometry. Front Vet Sci 2022; 9:1071002. [PMID: 36504872 PMCID: PMC9729775 DOI: 10.3389/fvets.2022.1071002] [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: 10/15/2022] [Accepted: 11/02/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Brain atrophy is observed with aging and may cause cognitive decline or dysfunction. Aging cats may demonstrate behavioral changes related to cognitive dysfunction. In the clinical veterinary field, although the conventional region of interest method by manual or semiauto tracing on magnetic resonance imaging is used to detect atrophy of regional structures, such as the hippocampus, it is difficult to assess atrophy globally. Voxel-based morphometry (VBM) has been developed to detect global and regional abnormalities in humans. The purpose of the present study investigates whether the feline brain volume decreases with aging using VBM analysis. Materials A total of 65 cats, aged 17-200 months, without apparent neurological and behavioral signs were included in the statistical analysis. Results We observed that the gray matter in the bilateral parietal lobes was decreased significantly with aging. The regions that showed decreased volume included the right postcruciate, cingulate gyrus, rostral suprasylvian/ectosylvian gyri, and the left postcruciate gyrus. No significant reduction in white matter was observed. Together, our results show that age-related brain atrophy can be detected using VBM analysis. Discussion The age-related atrophy of the parietal cortex may not cause neurological and behavioral signs in cats. Therefore, veterinarians should consider age when assessing the relation between morphometric and functional abnormalities of the parietal cortex in cats.
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Affiliation(s)
- Yuji Hamamoto
- Veterinary Medical Teaching Hospital, Nippon Veterinary and Life Science University, Musashino, Japan,Laboratory of Veterinary Radiology, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Japan,The Research Center for Animal Life Science, Nippon Veterinary and Life Science University, Musashino, Japan,*Correspondence: Yuji Hamamoto
| | - Yoshihiko Yu
- Laboratory of Veterinary Radiology, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Japan
| | - Rikako Asada
- Laboratory of Veterinary Radiology, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Japan
| | - Satoshi Mizuno
- Laboratory of Veterinary Radiology, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Japan
| | - Daisuke Hasegawa
- Laboratory of Veterinary Radiology, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Musashino, Japan,The Research Center for Animal Life Science, Nippon Veterinary and Life Science University, Musashino, Japan
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Schug AK, Brignoni‐Pérez E, Jamal NI, Eden GF. Gray matter volume differences between early bilinguals and monolinguals: A study of children and adults. Hum Brain Mapp 2022; 43:4817-4834. [PMID: 35848371 PMCID: PMC9582359 DOI: 10.1002/hbm.26008] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/09/2022] [Accepted: 06/27/2022] [Indexed: 11/21/2022] Open
Abstract
Gray matter has been shown to be greater in early bilingual adults relative to monolingual adults in regions associated with language (Mechelli et al., 2004), and executive control (EC; Olulade et al., 2016). It is not known, however, if language experience-dependent differences in gray matter volume (GMV) exist in children. Further, any such differences are likely not to be the same as those observed in early bilingual adults, as children have had relatively shorter duration of dual-language exposure and/or less development of brain regions serving EC. We tested these predictions by comparing GMV in Spanish-English early bilingual and English monolingual children, and Spanish-English early bilingual and English monolingual adults (n = 122). Comparing only children revealed relatively more GMV in the bilinguals in bilateral frontal, right inferior frontal, and right superior parietal cortices (regions associated with EC). Bilinguals, however, had less GMV in left inferior parietal cortex (region associated with language). An ANOVA including these children with bilingual and monolingual adults revealed interactions of Language Background by Age Group. There were no regions of more GMV in bilinguals relative to monolinguals that were less pronounced in children than adults, despite the children's shorter dual-language experience. There were relative differences between bilingual and monolingual children that were more pronounced than those in adults in left precentral gyrus and right superior parietal lobule (close to, but not directly in areas associated with EC). Together, early bilingual children manifest relative differences in GMV, and, surprisingly, these do not diverge much from those observed in studies of bilingual adults.
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Affiliation(s)
- Alison K. Schug
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Edith Brignoni‐Pérez
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
| | - Nasheed I. Jamal
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
| | - Guinevere F. Eden
- Center for the Study of Learning, Department of PediatricsGeorgetown University Medical CenterWashingtonDistrict of ColumbiaUSA
- Interdisciplinary Program in NeuroscienceGeorgetown UniversityWashingtonDistrict of ColumbiaUSA
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Besteher B, Machnik M, Troll M, Toepffer A, Zerekidze A, Rocktäschel T, Heller C, Kikinis Z, Brodoehl S, Finke K, Reuken PA, Opel N, Stallmach A, Gaser C, Walter M. Larger gray matter volumes in neuropsychiatric long-COVID syndrome. Psychiatry Res 2022; 317:114836. [PMID: 36087363 PMCID: PMC9444315 DOI: 10.1016/j.psychres.2022.114836] [Citation(s) in RCA: 18] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/02/2022] [Accepted: 09/04/2022] [Indexed: 01/04/2023]
Abstract
Neuropsychiatric symptoms are the most common sequelae of long-COVID. As accumulating evidence suggests an impact of survived SARS-CoV-2-infection on brain physiology, it is necessary to further investigate brain structural changes in relation to course and neuropsychiatric symptom burden in long-COVID. To this end, the present study investigated 3T-MRI scans from long-COVID patients suffering from neuropsychiatric symptoms (n = 30), and healthy controls (n = 20). Whole-brain comparison of gray matter volume (GMV) was conducted by voxel-based morphometry. To determine whether changes in GMV are predicted by neuropsychiatric symptom burden and/or initial severity of symptoms of COVID-19 and time since onset of COVID-19 stepwise linear regression analysis was performed. Significantly enlarged GMV in long-COVID patients was present in several clusters (spanning fronto-temporal areas, insula, hippocampus, amygdala, basal ganglia, and thalamus in both hemispheres) when compared to controls. Time since onset of COVID-19 was a significant regressor in four of these clusters with an inverse relationship. No associations with clinical symptom burden were found. GMV alterations in limbic and secondary olfactory areas are present in long-COVID patients and might be dynamic over time. Larger samples and longitudinal data in long-COVID patients are required to further clarify the mediating mechanisms between COVID-19, GMV and neuropsychiatric symptoms.
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Affiliation(s)
- Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany.
| | - Marlene Machnik
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
| | - Marie Troll
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
| | - Antonia Toepffer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
| | - Ani Zerekidze
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
| | - Tonia Rocktäschel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
| | - Carina Heller
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany,Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, USA,Department of Clinical Psychology, Friedrich-Schiller-University Jena, Germany
| | - Zora Kikinis
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | | | - Kathrin Finke
- Department of Neurology, Jena University Hospital, Germany
| | - Philipp A. Reuken
- Department of Internal Medicine IV, Gastroenterology, Hepatology and Infectious Diseases, Jena University Hospital, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
| | - Andreas Stallmach
- Department of Internal Medicine IV, Gastroenterology, Hepatology and Infectious Diseases, Jena University Hospital, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany,Department of Neurology, Jena University Hospital, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, Jena 07743, Germany
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Siciliano L, Olivito G, Leggio M. The cerebellum gains weight: A systematic review of alterations in cerebellar volume and cerebro-cerebellar functional alterations in individuals with eating disorders. Neurosci Biobehav Rev 2022; 141:104863. [PMID: 36089105 DOI: 10.1016/j.neubiorev.2022.104863] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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: 06/01/2022] [Revised: 08/10/2022] [Accepted: 09/04/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Brain imaging studies on eating disorders (EDs) often reported volumetric and functional changes involving the cerebellum. Nevertheless, few studies performed in-depth examinations and suggested a cerebellar role in the EDs' pathophysiology. METHODS A systematic literature search on volumetric changes and functional alterations involving the cerebellum in individuals with EDs was conducted using PubMed, PsychInfo and Web of Science. This review was conducted according to the Preferred Reporting Items for Systematic Reviews (PRISMA) statement and Rayyan web application for screening studies. RESULTS Twenty-four papers reporting cerebellar alterations in individuals with EDs were included in the study: 9 assessing brain volumetric changes, 9 investigating task-based functional brain activation and 6 investigating brain functional connectivity at rest. Most studies focused on anorectic-type EDs (n.22), while fewer involved bulimic-type EDs (n.9) and eating disorders not otherwise specified (n.2), revealing subtypes-specific patterns of altered cerebellar volume and functionality. CONCLUSIONS This review proposes critical arguments to consider the cerebellum as a key structure in the pathophysiology of EDs that requires further forthcoming exploration.
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Affiliation(s)
- Libera Siciliano
- Department of Psychology, Sapienza University of Rome, Via dei Marsi 78, 00185 Rome, Italy; Ataxia Laboratory, IRCCS Fondazione Santa Lucia, Via Ardeatina 306-354, 00179 Rome, Italy.
| | - Giusy Olivito
- Department of Psychology, Sapienza University of Rome, Via dei Marsi 78, 00185 Rome, Italy; Ataxia Laboratory, IRCCS Fondazione Santa Lucia, Via Ardeatina 306-354, 00179 Rome, Italy.
| | - Maria Leggio
- Department of Psychology, Sapienza University of Rome, Via dei Marsi 78, 00185 Rome, Italy; Ataxia Laboratory, IRCCS Fondazione Santa Lucia, Via Ardeatina 306-354, 00179 Rome, Italy.
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Jin W, Jie Feng, Wenwei Zhu, Bin Zhang, Chen S, Wei S, Wang P, Deng K, Wang Y, Zhang M, Yang S, Im H, Wang Q. The medial temporal lobe structure and function support positive affect. Neuropsychologia 2022; 176:108373. [PMID: 36167193 DOI: 10.1016/j.neuropsychologia.2022.108373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 09/20/2022] [Accepted: 09/21/2022] [Indexed: 11/24/2022]
Abstract
Positive affect (PA) is not only associated with individuals' psychological and physical health, but also their cognitive processes. However, whether medial temporal lobe (MTL) and its subfields' volume/functional connectivity can explain individual variability in PA remains understudied. We investigated the morphological (i.e., grey matter volume; GMV) and functional characteristics (i.e., resting-state functional connectivity; rsFC) of PA with a combination of univariate and multivariate pattern analyses (MVPA) using a large sample of participants (n = 321). We simultaneously collected the T1-weighted (n = 321), high-resolution MTL T2-weighted, and resting-state functional imaging data (n = 209). The MTL and its subfields' volumes, including the CA1, CA2+3, DG, and subiculum (SUB), perirhinal cortex (PRC), and parahippocampus (PHC), were extracted using an automatic segmentation of hippocampal subfields (ASHS) software. The morphological results revealed that GMVs in the prefrontal-occipital and limbic (i.e., hippocampus, amygdala, and PHC) systems were associated with variability in PA at the whole-brain level using MVPA but not univariate analysis. Linear regression results further revealed a positive association between the MTL subfields' GMV, especially for the right PRC, and PA after controlling for several covariates. PRC-seed-based rsFC analyses further revealed that its couplings with the fronto-parietal-occipital system predicted PA in both univariate and MVPA. These findings provide novel insights into the neuroanatomical and functional substrates underlying human PA trait. Findings also suggest critical contributions of the MTL and its subfield of the perirhinal cortex, but not hippocampal subfields, as well as its functional coupling with the fronto-parietal control-system on the formation of PA.
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Zapparoli L, Devoto F, Giannini G, Zonca S, Gallo F, Paulesu E. Neural structural abnormalities behind altered brain activation in obesity: Evidence from meta-analyses of brain activation and morphometric data. Neuroimage Clin 2022; 36:103179. [PMID: 36088842 PMCID: PMC9474923 DOI: 10.1016/j.nicl.2022.103179] [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: 04/28/2022] [Revised: 08/27/2022] [Accepted: 08/30/2022] [Indexed: 12/14/2022]
Abstract
Obesity represents a risk factor for disability with a major bearing on life expectancy. Neuroimaging techniques are contributing to clarify its neurobiological underpinnings. Here, we explored whether structural brain abnormalities might accompany altered brain activations in obesity. We combined and compared data from brain activation studies for food stimuli and the data reported in structural voxel-based morphometry studies. We found that obese individuals have reduced grey matter density and functional activations in the thalamus and midbrain. A functional connectivity analysis based on these two clusters and its quantitative decoding showed that these regions are part of the reward system functional brain network. Moreover, we found specific grey matter hypo-densities in prefrontal cortex for the obese subjects, regions involved in controlled behaviour. These results support theories of obesity that point to reduced bottom-up reward processes (i.e., the Reward Deficit Theory), but also top-down theories postulating a deficit in cognitive control (i.e., the Inhibitory Control Deficit Theory). The same results also warrant a more systematic exploration of obesity whereby the reward of food and the intentional control over consummatory behaviour is manipulated.
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Affiliation(s)
- Laura Zapparoli
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy,IRCCS Orthopedic Institute Galeazzi, Milan, Italy,Corresponding authors.
| | - Francantonio Devoto
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Gianluigi Giannini
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Sara Zonca
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Francesca Gallo
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Eraldo Paulesu
- Psychology Department and NeuroMi – Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy,IRCCS Orthopedic Institute Galeazzi, Milan, Italy
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Ankeeta A, Kumaran SS, Saxena R, Dwivedi SN, Jagannathan NR, Narang V. Auditory perception of ambiguous and non-ambiguous sound in early and late blind children: A functional connectivity study. Brain Lang 2022; 231:105148. [PMID: 35738069 DOI: 10.1016/j.bandl.2022.105148] [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] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Auditory perception and associated cognition involve visual and auditory cortical areas for inference of meaningful soundscape. OBJECTIVE To investigate auditory perception of ambiguous and non-ambiguous stimulation in auditory and visual cortical networks for categorical discrimination. METHODOLOGY Functional mapping was carried out in twenty early (EB), twenty late blind (LB) and fifteen healthy children, during auditory ambiguous and non-ambiguous stimulation task in a 3 T MR scanner to estimate hemodynamic signal alteration and its effect on functional connectivity. The degree of amplitude low-frequency fluctuation (ALFF), correlation analysis and multiple comparison was carried out to map the impact of duration of education and onset of blindness (EB and LB). RESULTS AND DISCUSSION Increased functional connectivity (FC) and cross-modal reorganization was observed in auditory, visual and language networks in EB children. FC was increased in contralateral hemisphere in both the blind children (EB and LB) groups and was positively correlated with duration of education performance. Cognitive assessment scores correlated (p < 0.01) with cluster coefficient of FC and BOLD response. CONCLUSION FC alterations depend on onset age and audio-haptic training in children associated with increased auditory language and memory perception.
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Affiliation(s)
- A Ankeeta
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - S Senthil Kumaran
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
| | - Rohit Saxena
- Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India
| | - Sada Nand Dwivedi
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - N R Jagannathan
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Vaishna Narang
- School of Language, Literature and Culture Studies - I, Jawaharlal Nehru University, New Delhi, India
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Sawyer C, Green J, Lim B, Pobric G, Jung J, Vassallo G, Evans DG, Stagg CJ, Parkes LM, Stivaros S, Muhlert N, Garg S. Neuroanatomical correlates of working memory performance in Neurofibromatosis 1. Cereb Cortex Commun 2022; 3:tgac021. [PMID: 35673329 PMCID: PMC9169056 DOI: 10.1093/texcom/tgac021] [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: 04/08/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Neurofibromatosis 1 (NF1) is a single-gene disorder associated with cognitive impairments, particularly with deficits in working memory. Prior research indicates that brain structure is affected in NF1, but it is unclear how these changes relate to aspects of cognition. Methods 29 adolescents aged 11-17 years were compared to age and sex-matched controls. NF1 subjects were assessed using detailed multimodal measurements of working memory at baseline followed by a 3T MR scan. A voxel-based morphometry approach was used to estimate the total and regional gray matter(GM) volumetric differences between the NF1 and control groups. The working memory metrics were subjected to a principal component analysis (PCA) approach. Results The NF1 groups showed increased gray matter volumes in the thalamus, corpus striatum, dorsal midbrain and cerebellum bilaterally in the NF1 group as compared to controls. Principal component analysis on the working memory metrics in the NF1 group yielded three independent factors reflecting high memory load, low memory load and auditory working memory. Correlation analyses revealed that increased volume of posterior cingulate cortex, a key component of the default mode network (DMN) was significantly associated with poorer performance on low working memory load tasks. Conclusion These results are consistent with prior work showing larger subcortical brain volumes in the NF1 cohort. The strong association between posterior cingulate cortex volume and performance on low memory load conditions supports hypotheses of deficient DMN structural development, which in turn may contribute to the cognitive impairments in NF1.
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Affiliation(s)
- Cameron Sawyer
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - Jonathan Green
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - Ben Lim
- Child & Adolescent Mental Health Department, Royal Manchester Children's Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, Oxford Road, M13 9WL, United Kingdom
| | - Gorana Pobric
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - JeYoung Jung
- School of Psychology, Precision Imaging Beacon, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom
| | - Grace Vassallo
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, United Kingdom
| | - D Gareth Evans
- Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester M13 9WL, United Kingdom
| | - Charlotte J Stagg
- Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences & MRC Brain Network Dynamics Unit, University of Oxford, OX3 9DU, United Kingdom
| | - Laura M Parkes
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - Stavros Stivaros
- Geoffrey Jefferson Brain Research Centre, Northern care Alliance NHS Foundation Trust, Stott Lane, Manchester M6 8HD, United Kingdom
| | - Nils Muhlert
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - Shruti Garg
- Division of Neuroscience & Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
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Rechberger S, Li Y, Kopetzky SJ, Butz-Ostendorf M. Automated High-Definition MRI Processing Routine Robustly Detects Longitudinal Morphometry Changes in Alzheimer's Disease Patients. Front Aging Neurosci 2022; 14:832828. [PMID: 35747446 PMCID: PMC9211026 DOI: 10.3389/fnagi.2022.832828] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/06/2022] [Indexed: 11/21/2022] Open
Abstract
Longitudinal MRI studies are of increasing importance to document the time course of neurodegenerative diseases as well as neuroprotective effects of a drug candidate in clinical trials. However, manual longitudinal image assessments are time consuming and conventional assessment routines often deliver unsatisfying study outcomes. Here, we propose a profound analysis pipeline that consists of the following coordinated steps: (1) an automated and highly precise image processing stream including voxel and surface based morphometry using latest highly detailed brain atlases such as the HCP MMP 1.0 atlas with 360 cortical ROIs; (2) a profound statistical assessment using a multiplicative model of annual percent change (APC); and (3) a multiple testing correction adopted from genome-wide association studies that is optimally suited for longitudinal neuroimaging studies. We tested this analysis pipeline with 25 Alzheimer's disease patients against 25 age-matched cognitively normal subjects with a baseline and a 1-year follow-up conventional MRI scan from the ADNI-3 study. Even in this small cohort, we were able to report 22 significant measurements after multiple testing correction from SBM (including cortical volume, area and thickness) complementing only three statistically significant volume changes (left/right hippocampus and left amygdala) found by VBM. A 1-year decrease in brain morphometry coincided with an increasing clinical disability and cognitive decline in patients measured by MMSE, CDR GLOBAL, FAQ TOTAL and NPI TOTAL scores. This work shows that highly precise image assessments, APC computation and an adequate multiple testing correction can produce a significant study outcome even for small study sizes. With this, automated MRI processing is now available and reliable for routine use and clinical trials.
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Affiliation(s)
| | - Yong Li
- Biomax Informatics, Munich, Germany
| | - Sebastian J. Kopetzky
- Biomax Informatics, Munich, Germany
- School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Markus Butz-Ostendorf
- Biomax Informatics, Munich, Germany
- Parallel Programming, Department of Computer Science, Technical University of Darmstadt, Darmstadt, Germany
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Chen Y, Ide JS, Li CS, Chaudhary S, Le TM, Wang W, Zhornitsky S, Zhang S, Li CR. Gray matter volumetric correlates of dimensional impulsivity traits in children: Sex differences and heritability. Hum Brain Mapp 2022; 43:2634-2652. [PMID: 35212098 PMCID: PMC9057091 DOI: 10.1002/hbm.25810] [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] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 01/25/2022] [Accepted: 02/05/2022] [Indexed: 01/22/2023] Open
Abstract
Previous research investigated the cerebral volumetric correlates of impulsivity largely in moderate-sized samples and few have examined the distinct correlates of dimensions of impulsivity, sex differences, or heritability of the correlates. Here, we performed voxel-based morphometry analysis of data (n = 11,474; 5,452 girls, 9-10 years) curated from the Adolescent Brain Cognition Development project. In a linear regression with all five UPPS-P subscores as regressors and age in months, total intracranial volume, study site, and scanner model as covariates, higher levels of lack of premeditation, and sensation seeking were correlated with larger cortical and subcortical gray matter volumes (GMVs). In contrast, higher positive urgency was correlated with smaller GMVs in many of the same regions. The dimensional impulsivity traits also involved distinct volumetric correlates, with, for instance, sensation seeking and positive urgency specifically implicating bilateral caudate head/mid-cingulate cortex and bilateral lateral orbitofrontal cortex/left precentral gyrus, respectively. Boys relative to girls scored higher in all impulsivity dimensions. Girls relative to boys showed significantly stronger positive and negative correlations between sensation seeking and insula, putamen, and inferior frontal gyrus (IFG) GMVs and between positive urgency and cingulate cortex, insula, and IFG GMVs, respectively. With a subsample of twins, the dimensional impulsivity traits were weakly to moderately heritable in both girls and boys, and the GMV correlates were highly heritable in girls and boys combined. These findings collectively suggest shared and nonshared as well as sex differences in the cerebral volumetric bases of dimensional impulsivity traits and may facilitate research of externalizing psychopathology in children.
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Affiliation(s)
- Yu Chen
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Jaime S. Ide
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Clara S. Li
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
- Department of Statistical and Data SciencesSmith CollegeNorthamptonMassachusettsUSA
| | - Shefali Chaudhary
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Thang M. Le
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Wuyi Wang
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Simon Zhornitsky
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Sheng Zhang
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
| | - Chiang‐Shan R. Li
- Department of PsychiatryYale University School of MedicineNew HavenConnecticutUSA
- Department of NeuroscienceYale University School of MedicineNew HavenConnecticutUSA
- Inter‐department Neuroscience ProgramYale UniversityNew HavenConnecticutUSA
- Wu Tsai InstituteYale UniversityNew HavenConnecticutUSA
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Hafiz R, Gandhi TK, Mishra S, Prasad A, Mahajan V, Di X, Natelson BH, Biswal BB. Higher limbic and basal ganglia volumes in surviving COVID-negative patients and the relations to fatigue. Neuroimage Rep 2022; 2:100095. [PMID: 35496469 PMCID: PMC9040524 DOI: 10.1016/j.ynirp.2022.100095] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/06/2022]
Abstract
Background Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among 'long-COVID' patients. How morphometry in each group relate to work-related fatigue need to be investigated. Method COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. Results The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Limbic System and Basal Ganglia when compared to healthy controls. Moreover, while a significant positive correlation was observed across the whole group between GMV and self-reported fatigue, COVID subjects showed stronger effects within the Posterior Cingulate, Precuneus and Superior Parietal Lobule. Conclusion Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.
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Affiliation(s)
- Rakibul Hafiz
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ, 07102, USA
| | - Tapan Kumar Gandhi
- Department of Electrical Engineering, Indian Institute of Technology (IIT), Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India
| | - Sapna Mishra
- Department of Electrical Engineering, Indian Institute of Technology (IIT), Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India
| | - Alok Prasad
- Internal Medicine, Irene Hospital & Senior Consultant Medicine, Metro Heart and Super-specialty Hospital, New Delhi, India
| | - Vidur Mahajan
- Centre for Advanced Research in Imaging, Neuroscience & Genomics, Mahajan Imaging, New Delhi, India
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ, 07102, USA
| | - Benjamin H Natelson
- Pain & Fatigue Study Center, Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, 5 East 98th Street, 7th Floor, New York, NY, 10029, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ, 07102, USA
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Tu L, Zhou F, Omata K, Li W, Huang R, Gao W, Zhu Z, Li Y, Liu C, Mao M, Zhang S, Hanakawa T. Increased Gray Matter Volume Induced by Chinese Language Acquisition in Adult Alphabetic Language Speakers. Front Psychol 2022; 13:824219. [PMID: 35548546 PMCID: PMC9084625 DOI: 10.3389/fpsyg.2022.824219] [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: 11/29/2021] [Accepted: 03/11/2022] [Indexed: 12/03/2022] Open
Abstract
It is interesting to explore the effects of second language (L2) acquisition on anatomical change in brain at different stages for the neural structural adaptations are dynamic. Short-term Chinese training effects on brain anatomical structures in alphabetic language speakers have been already studied. However, little is known about the adaptations of the gray matter induced by acquiring Chinese language for a relatively long learning period in adult alphabetic language speakers. To explore this issue, we recruited 38 Indian overseas students in China as our subjects. The learned group included 17 participants who had learned Mandarin Chinese for an average of 3.24 years and achieved intermediate Chinese language proficiency. The control group included 21 subjects who had no knowledge about Chinese. None of the participants had any experience in learning logographic and tonal language before Chinese learning. We found that (1) the learned group had significantly greater gray matter volume (GMV) in the left lingual gyrus (LG) compared with the control group; (2) the Chinese characters’ reading accuracy was significantly and positively correlated to the GMV in the left LG and fusiform gyrus (FG) across the two groups; and (3) in the learned group, the duration of Chinese learning was significantly and positively correlated with the GMV in the left inferior frontal gyrus (IFG) after correction for multiple comparisons with small volume corrections. Our structural imaging findings are in line with the functional imaging studies reporting increased brain activation induced by Chinese acquisition in alphabetic language speakers. The regional gray matter changes reflected the additional requirements imposed by the more difficult processing of Chinese characters and tones. The present study also show that the biological bases of the adaptations induced by a relatively long period of Chinese learning were limited in the common areas for first and foreign language processing.
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Affiliation(s)
- Liu Tu
- College of Foreign Studies, Jinan University, Guangzhou, China
| | - Fangyuan Zhou
- College of Foreign Studies, Jinan University, Guangzhou, China
| | - Kei Omata
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Japan
| | - Wendi Li
- College of Foreign Studies, Jinan University, Guangzhou, China
| | - Ruiwang Huang
- School of Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong, Center for the Study of Applied Psychology and MRI Center, South China Normal University, Guangzhou, China
| | - Wei Gao
- College of Foreign Studies, Jinan University, Guangzhou, China
| | - Zhenzhen Zhu
- Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies, Guangzhou, China
| | - Yanyan Li
- Higher Education Mega Center, Guangzhou, China
| | - Chang Liu
- South China Business Trade College, Guangzhou, China
| | - Mengying Mao
- College of Foreign Studies, Jinan University, Guangzhou, China
| | - Shuyu Zhang
- College of Foreign Studies, Jinan University, Guangzhou, China
| | - Takashi Hanakawa
- Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Sader M, Williams JHG, Waiter GD. A meta-analytic investigation of grey matter differences in anorexia nervosa and autism spectrum disorder. Eur Eat Disord Rev 2022; 30:560-579. [PMID: 35526083 PMCID: PMC9543727 DOI: 10.1002/erv.2915] [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: 03/17/2022] [Accepted: 04/21/2022] [Indexed: 11/11/2022]
Abstract
Recent research reports Anorexia Nervosa (AN) to be highly dependent upon neurobiological function. Some behaviours, particularly concerning food selectivity are found in populations with both Autism Spectrum Disorder (ASD) and AN, and there is a proportionally elevated number of anorexic patients exhibiting symptoms of ASD. We performed a systematic review of structural MRI literature with the aim of identifying common structural neural correlates common to both AN and ASD. Across 46 ASD publications, a meta‐analysis of volumetric differences between ASD and healthy controls revealed no consistently affected brain regions. Meta‐analysis of 23 AN publications revealed increased volume within the orbitofrontal cortex and medial temporal lobe, and adult‐only AN literature revealed differences within the genu of the anterior cingulate cortex. The changes are consistent with alterations in flexible reward‐related learning and episodic memory reported in neuropsychological studies. There was no structural overlap between ASD and AN. Findings suggest no consistent neuroanatomical abnormality associated with ASD, and evidence is lacking to suggest that reported behavioural similarities between those with AN and ASD are due to neuroanatomical structural similarities. Findings related to neuroanatomical structure in AN/ASD demonstrate overlap and require revisiting. Meta‐analytic findings show structural increase/decrease versus healthy controls (LPFC/MTL/OFC) in AN, but no clusters found in ASD. The neuroanatomy associated with ASD is inconsistent, but findings in AN reflect condition‐related impairment in executive function and sociocognitive behaviours.
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Affiliation(s)
- Michelle Sader
- Translational Neuroscience, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Justin H G Williams
- Translational Neuroscience, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
| | - Gordon D Waiter
- Biomedical Imaging Centre, Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
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Ligges C, Ligges M, Gaser C. Cross-Sectional Investigation of Brain Volume in Dyslexia. Front Neurol 2022; 13:847919. [PMID: 35350399 PMCID: PMC8957969 DOI: 10.3389/fneur.2022.847919] [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: 01/17/2022] [Accepted: 02/04/2022] [Indexed: 01/18/2023] Open
Abstract
The goal of the study was to determine whether dyslexia is associated with differences in local brain volume, and whether these local brain volume differences show cross-sectional age-effects. We investigated the local volume of gray and white brain matter with voxel-based morphometry (VBM) as well as reading performance in three age groups of dyslexic and neurotypical normal reading subjects (children, teenagers and adults). Performance data demonstrate a steady improvement of reading skills in both neurotypical as well as dyslexic readers. However, the pattern of gray matter volumes tell a different story: the children are the only group with significant differences between neurotypical and dyslexic readers in local gray matter brain volume. These differences are localized in brain areas associated with the reading network (angular, middle temporal and inferior temporal gyrus as well as the cerebellum). Yet the comparison of neurotypical and normal readers over the age groups shows that the steady increase in performance in neurotypical readers is accompanied by a steady decrease of gray matter volume, whereas the brain volumes of dyslexic readers do not show this linear correlation between brain volume and performance. This is further evidence that dyslexia is a disorder with a neuroanatomical basis in the form of a lower volume of gray matter in parts of the reading network in early dyslexic readers. The present data point out that network shaping processes in gray matter volume in the reading network does take place over age in dyslexia. Yet this neural foundation does not seem to be sufficient to allow normal reading performances even in adults with dyslexia. Thus dyslexia is a disorder with lifelong consequences, which is why consistent support for affected individuals in their educational and professional careers is of great importance. Longitudinal studies are needed to verify whether this holds as a valid pattern or whether there is evidence of greater interindividual variance in the neuroanatomy of dyslexia.
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Affiliation(s)
- Carolin Ligges
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Marc Ligges
- Department of Child and Adolescent Psychiatry, Psychosomatic Medicine and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
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45
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Rao X, Wang W, Luo S, Qiu J, Li H. Brain structures associated with individual differences in decisional and emotional forgiveness. Neuropsychologia 2022; 170:108223. [PMID: 35339505 DOI: 10.1016/j.neuropsychologia.2022.108223] [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: 01/25/2022] [Revised: 03/21/2022] [Accepted: 03/21/2022] [Indexed: 11/29/2022]
Abstract
In responding to interpersonal conflicts, forgiveness goes a long way. Past brain imaging studies have examined the activation patterns of forgiving responses. However, the individual differences in brain structures associated with decisional forgiveness and emotional forgiveness are not well understood. In this voxel-based morphometry study, participants (85 men, 210 women) completed the Decisional Forgiveness Scale (DFS) and the Emotional Forgiveness Scale (EFS) and underwent an anatomical magnetic resonance imaging scan. Higher DFS scores were associated with larger GM volumes in a cluster that included regions in the orbitofrontal cortex (OFC). Higher EFS scores were associated with larger GM volumes in a cluster that included regions in the medial prefrontal cortex (mPFC) and the superior frontal gyrus (SFG), which were also associated with smaller GM volumes in a cluster that included regions in the left inferior parietal lobule (IPL). The associations between the identified regions and DFS scores and EFS scores were supported by the cross-validation test. In addition, the GMV of OFC, mPFC and SFG partially mediated the relationship between DFS and EFS. These results provide direct neuroanatomical evidence for an association between decisional and emotional forgiveness and brain regions which are critical for cognitive control, theory of mind and moral judgment.
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Affiliation(s)
- Xinyu Rao
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Wenyuan Wang
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Shuili Luo
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China; Faculty of Psychology, Southwest University, Chongqing, 400715, China; Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, China.
| | - Haijiang Li
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China; The Research Base of Online Education for Shanghai Middle and Primary Schools, Shanghai, 200234, China.
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C Monte-Rubio G, Segura B, P Strafella A, van Eimeren T, Ibarretxe-Bilbao N, Diez-Cirarda M, Eggers C, Lucas-Jiménez O, Ojeda N, Peña J, Ruppert MC, Sala-Llonch R, Theis H, Uribe C, Junque C. Parameters from site classification to harmonize MRI clinical studies: Application to a multi-site Parkinson's disease dataset. Hum Brain Mapp 2022; 43:3130-3142. [PMID: 35305545 PMCID: PMC9188966 DOI: 10.1002/hbm.25838] [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: 08/01/2021] [Revised: 02/10/2022] [Accepted: 03/07/2022] [Indexed: 11/10/2022] Open
Abstract
Multi‐site MRI datasets are crucial for big data research. However, neuroimaging studies must face the batch effect. Here, we propose an approach that uses the predictive probabilities provided by Gaussian processes (GPs) to harmonize clinical‐based studies. A multi‐site dataset of 216 Parkinson's disease (PD) patients and 87 healthy subjects (HS) was used. We performed a site GP classification using MRI data. The outcomes estimated from this classification, redefined like Weighted HARMonization PArameters (WHARMPA), were used as regressors in two different clinical studies: A PD versus HS machine learning classification using GP, and a VBM comparison (FWE‐p < .05, k = 100). Same studies were also conducted using conventional Boolean site covariates, and without information about site belonging. The results from site GP classification provided high scores, balanced accuracy (BAC) was 98.39% for grey matter images. PD versus HS classification performed better when the WHARMPA were used to harmonize (BAC = 78.60%; AUC = 0.90) than when using the Boolean site information (BAC = 56.31%; AUC = 0.71) and without it (BAC = 57.22%; AUC = 0.73). The VBM analysis harmonized using WHARMPA provided larger and more statistically robust clusters in regions previously reported in PD than when the Boolean site covariates or no corrections were added to the model. In conclusion, WHARMPA might encode global site‐effects quantitatively and allow the harmonization of data. This method is user‐friendly and provides a powerful solution, without complex implementations, to clean the analyses by removing variability associated with the differences between sites.
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Affiliation(s)
- Gemma C Monte-Rubio
- Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain.,Medical Psychology Unit, Department of Medicine, University of Barcelona, Barcelona, Catalonia, Spain
| | - Barbara Segura
- Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain.,Medical Psychology Unit, Department of Medicine, University of Barcelona, Barcelona, Catalonia, Spain.,Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED: CB06/05/0018-ISCIII) Barcelona, Barcelona, Catalonia, Spain
| | - Antonio P Strafella
- Edmond J. Safra Parkinson Disease Program & Morton and Gloria Shulman Movement Disorder Unit, Neurology Division, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Krembil Brain Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto, Toronto, Ontario, Canada
| | - Thilo van Eimeren
- Department of Nuclear Medicine, University of Cologne, Cologne, Germany.,Department of Neurology, University of Cologne, Cologne, Germany
| | - Naroa Ibarretxe-Bilbao
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Maria Diez-Cirarda
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto, Toronto, Ontario, Canada
| | - Carsten Eggers
- Department of Neurology, University Hospital Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior - CMBB, Universities Marburg and Gießen, Marburg and Gießen, Germany.,Department of Neurology, Knappschaftskrankenhaus Bottrop, Bottrop, Germany
| | - Olaia Lucas-Jiménez
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Natalia Ojeda
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Javier Peña
- Department of Psychology, Faculty of Health Sciences, University of Deusto, Bilbao, Spain
| | - Marina C Ruppert
- Department of Neurology, University Hospital Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior - CMBB, Universities Marburg and Gießen, Marburg and Gießen, Germany
| | - Roser Sala-Llonch
- Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain.,Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain.,Department of Biomedicine, University of Barcelona, Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Catalonia, Spain
| | - Hendrik Theis
- Department of Neurology, University of Cologne, Cologne, Germany
| | - Carme Uribe
- Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain.,Medical Psychology Unit, Department of Medicine, University of Barcelona, Barcelona, Catalonia, Spain.,Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain.,Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto, Toronto, Ontario, Canada
| | - Carme Junque
- Institute of Neurosciences, University of Barcelona, Barcelona, Catalonia, Spain.,Medical Psychology Unit, Department of Medicine, University of Barcelona, Barcelona, Catalonia, Spain.,Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED: CB06/05/0018-ISCIII) Barcelona, Barcelona, Catalonia, Spain
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47
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Sun K, Liu Z, Chen G, Zhou Z, Zhong S, Tang Z, Wang S, Zhou G, Zhou X, Shao L, Ye X, Zhang Y, Jia Y, Pan J, Huang L, Liu X, Liu J, Tian J, Wang Y. A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods. J Affect Disord 2022; 300:1-9. [PMID: 34942222 DOI: 10.1016/j.jad.2021.12.065] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 10/21/2020] [Revised: 09/13/2021] [Accepted: 12/19/2021] [Indexed: 01/09/2023]
Abstract
BACKGROUND The present study aimed to explore the difference in the brain function and structure between patients with major depressive disorder (MDD) and healthy controls (HCs) using two-center and multi-modal MRI data, which would be helpful to investigate the pathogenesis of MDD. METHODS The subjects were collected from two hospitals. One including 140 patients with MDD and 138 HCs was used as primary cohort. Another one including 29 patients with MDD and 52 HCs was used as validation cohort. Functional and structural magnetic resonance images (MRI) were acquired to extract four types of features: functional connectivity (FC), amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), and gray matter volume (GMV). Then classifiers using different combinations among the four types of selected features were respectively built to discriminate patients from HCs. Different templates were applied and the results under different templates were compared. RESULTS The classifier built with the combination of FC, ALFF, and GMV under the AAL template discriminated patients from HCs with the best performance (AUC=0.916, ACC=84.8%). The regions selected in all the different templates were mainly located in the default mode network, affective network, prefrontal cortex. LIMITATIONS First, the sample size of the validation cohort was limited. Second, diffusion tensor imaging data were not collected. CONCLUSION The performance of classifier was improved by using multi-modal MRI imaging. Different templates would be suitable for different types of analysis. The regions selected in all the different templates are possibly the core regions to investigate the pathophysiology of MDD.
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Affiliation(s)
- Kai Sun
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Zhenyu Liu
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Science, Beijing, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhifeng Zhou
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhenchao Tang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Shuo Wang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| | - Guifei Zhou
- School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China
| | - Xuezhi Zhou
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China
| | - Lizhi Shao
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; School of Computer Science and Engineering, Southeast University, Nanjing, China
| | - Xiaoying Ye
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yingli Zhang
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jiyang Pan
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xia Liu
- Shenzhen Institute of Mental Health, Shenzhen Kangning Hospital, Shenzhen, China.
| | - Jiangang Liu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology.
| | - Jie Tian
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology; School of Artificial Intelligence, University of Chinese Academy of Science, Beijing, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
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48
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Chen Y, Chaudhary S, Wang W, Li CSR. Gray matter volumes of the insula and anterior cingulate cortex and their dysfunctional roles in cigarette smoking. Addict Neurosci 2022; 1:100003. [PMID: 37220533 PMCID: PMC10201991 DOI: 10.1016/j.addicn.2021.100003] [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] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/25/2023]
Abstract
The salience network, including the insula and anterior cingulate cortex (ACC), has been implicated in nicotine addiction. Structural imaging studies have reported diminished insula and ACC gray matter volumes (GMVs) in smokers as compared to nonsmokers. However, it remains unclear how insula and ACC GMVs may relate to years of smoking, addiction severity, or behavioral traits known to dispose individuals to smoking. Here, with a dataset curated from the Human Connectome Project and voxel-based morphometry, we replicated the findings of smaller GMVs of the insula and medial prefrontal cortex, including the dorsal ACC and supplementary motor area (dACC/SMA), in (70 heavy < 209 light < 209 never) smokers matched in age, sex, and average daily num ber of drinks. The GMVs of the insula or dACC/SMA were not significantly correlated with years of smoking or Fagerstrom Test for Nicotine Dependence (FTND) scores. Heavy relative to never smokers demonstrated higher externalizing and internalizing scores, as evaluated by the NIH Emotion. In heavy smokers, the dACC/SMA but not insula GMV was positively correlated with both externalizing and internalizing scores. The findings together confirm volumetric changes in the salience network in heavy smokers and suggest potentially distinct dysfunctional roles of the insula and dACC/SMA in chronic smoking.
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Affiliation(s)
- Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Shefali Chaudhary
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Wuyi Wang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
- Department of Neuroscience, Yale University School of Medicine, New Haven, CT, United States
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, United States
- Wu Tsai Institute, Yale University, New Haven, CT, United States
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49
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Chen W, Li H, Hou X, Jia X. Gray matter alteration in medication overuse headache: a coordinates-based activation likelihood estimation meta-analysis. Brain Imaging Behav 2022. [PMID: 35143020 DOI: 10.1007/s11682-022-00634-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2022] [Indexed: 11/02/2022]
Abstract
Medication overuse headache (MOH) is a prevalent secondary headache, bringing heavy economic burden and neuropsychological damage. Neuroimaging studies on the disease reported divergent results. To merge the reported neuroimaging alterations in MOH patients and explore a pathophysiological mechanism of this disorder. A meta-analytic activation likelihood estimation (ALE) analysis method was used. We systematically searched English and Chinese databases for both morphological and functional neuroimaging studies published before Nov 18, 2021. Reported altered brain regions and the stereotactic coordinates of their peaks were extracted and pooled by GingerALE using Gaussian probability distribution into brain maps, illustrating converged regions of alteration among studies. We identified 927 articles, of which five studies on gray matter changes, using voxel-based morphometry (VBM) were eventually included for ALE analysis, with 344 subjects and 54 coordinates put into GingerALE. No functional magnetic resonance imaging (fMRI) or positron emission topography (PET) studies were included for pooling. Compared with healthy controls (HCs), MOH featured increased gray matter density in midbrain, striatum, cingulate, inferior parietal cortex and cerebellum (P < 0.001 uncorrected), whereas decreased gray matter density in orbitofrontal cortex (P < 0.05, family-wise error), frontal, insular and parietal cortices (P < 0.001 uncorrected). Withdrawal of analgesics led to decreased gray matter density in superior temporal gyrus, cuneus, midbrain and cerebellum (P < 0.001 uncorrected). This meta-analysis confirmed that medication overuse headache is associated with morphologic alteration in the reward system, the prefrontal cortex and a reversible modification in the pain network. Further functional imaging paradigms and longitudinal studies are required for a more definite conclusion and a causal mechanism.
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50
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Conrad J, Habs M, Ruehl RM, Boegle R, Ertl M, Kirsch V, Eren O, Becker-Bense S, Stephan T, Wollenweber F, Duering M, Dieterich M, Zu Eulenburg P. Reorganization of sensory networks after subcortical vestibular infarcts - A longitudinal symptom-related VBM study. Eur J Neurol 2022; 29:1514-1523. [PMID: 35098611 DOI: 10.1111/ene.15263] [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] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/16/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND We aimed to delineate common principles of reorganization after infarcts of the subcortical vestibular circuitry related to the clinical symptomatology. Our hypothesis was that the recovery of specific symptoms is associated with changes in distinct regions within the core vestibular, somatosensory and visual cortical and subcortical networks. METHODS We used voxel- and surface-based morphometry to investigate structural reorganization of subcortical and cortical brain areas in 42 patients with a unilateral, subcortical infarct with vestibular and ocular motor deficits in the acute phase. The patients received structural neuroimaging and clinical monitoring twice (acute phase and after 6 months) to detect within-subject changes over time. RESULTS In patients with vestibular signs such as tilts of the subjective visual vertical (SVV) and ocular torsion in the acute phase, significant volumetric increases in the superficial white matter around the parieto-(retro-)insular vestibular cortex (PIVC) were found at follow-up. In patients with SVV tilts, spontaneous nystagmus and rotatory vertigo in the acute phase gray matter volume decreases were located in the cerebellum and the visual cortex bilaterally at follow-up. Patients with saccade pathology demonstrated volumetric decreases in cerebellar, thalamic and cortical centers for ocular motor control. CONCLUSIONS The findings support the role of the PIVC as the key hub for vestibular processing and reorganization. The volumetric decreases represent the reciprocal interaction of the vestibular, visual and ocular motor systems during self-location and egomotion detection. A modulation in vestibular and ocular motor as well as visual networks was induced independent of the vestibular lesion site.
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Affiliation(s)
- Julian Conrad
- Department of Neurology, University Hospital, LMU Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany
| | - Maximilian Habs
- Department of Neurology, University Hospital, LMU Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany
| | - Ria Maxine Ruehl
- Department of Neurology, University Hospital, LMU Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany
| | - Rainer Boegle
- Department of Neurology, University Hospital, LMU Munich, Germany.,Graduate School of Systemic Neurosciences - GSN-LMU, LMU Munich, Germany
| | - Matthias Ertl
- Department of Psychology, University of Bern, Switzerland
| | - Valerie Kirsch
- Department of Neurology, University Hospital, LMU Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany.,Graduate School of Systemic Neurosciences - GSN-LMU, LMU Munich, Germany
| | - Ozan Eren
- Department of Neurology, University Hospital, LMU Munich, Germany
| | - Sandra Becker-Bense
- German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany
| | - Thomas Stephan
- Department of Neurology, University Hospital, LMU Munich, Germany
| | - Frank Wollenweber
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany.,Department of Neurology, Helios Dr. Horst Schmidt Kliniken, Wiesbaden, Germany
| | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany.,Medical Image Analysis Center (MIAC) and qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Marianne Dieterich
- Department of Neurology, University Hospital, LMU Munich, Germany.,German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany.,Graduate School of Systemic Neurosciences - GSN-LMU, LMU Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Peter Zu Eulenburg
- German Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Germany.,Graduate School of Systemic Neurosciences - GSN-LMU, LMU Munich, Germany.,Institute for Neuroradiology LMU Munich, Germany
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