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Wang H, Zhao Q, Zhang Y, Ma J, Lei M, Zhang Z, Xue H, Liu J, Sun Z, Xu J, Zhai Y, Wang Y, Cai M, Zhu W, Liu F. Shared genetic architecture of cortical thickness alterations in major depressive disorder and schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111121. [PMID: 39154931 DOI: 10.1016/j.pnpbp.2024.111121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 07/29/2024] [Accepted: 08/15/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) and schizophrenia (SCZ) are heritable brain disorders characterized by alterations in cortical thickness. However, the shared genetic basis for cortical thickness changes in these disorders remains unclear. METHODS We conducted a systematic literature search on cortical thickness in MDD and SCZ through PubMed and Web of Science. A coordinate-based meta-analysis was performed to identify cortical thickness changes. Additionally, utilizing summary statistics from the largest genome-wide association studies for depression (Ncase = 268,615, Ncontrol = 667,123) and SCZ (Ncase = 53,386, Ncontrol = 77,258), we explored shared genomic loci using conjunctional false discovery rate (conjFDR) analysis. Transcriptome-neuroimaging association analysis was then employed to identify shared genes associated with cortical thickness alterations, and enrichment analysis was finally carried out to elucidate the biological significance of these genes. RESULTS Our search yielded 34 MDD (Ncase = 1621, Ncontrol = 1507) and 19 SCZ (Ncase = 1170, Ncontrol = 1043) neuroimaging studies for cortical thickness meta-analysis. Specific alterations in the left supplementary motor area were observed in MDD, while SCZ exhibited widespread reductions in various brain regions, particularly in the frontal and temporal areas. The conjFDR approach identified 357 genomic loci jointly associated with MDD and SCZ. Within these loci, 55 genes were found to be associated with cortical thickness alterations in both disorders. Enrichment analysis revealed their involvement in nervous system development, apoptosis, and cell communication. CONCLUSION This study revealed the shared genetic architecture underlying cortical thickness alterations in MDD and SCZ, providing insights into common neurobiological pathways. The identified genes and pathways may serve as potential transdiagnostic markers, informing precision medicine approaches in psychiatric care.
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Affiliation(s)
- He Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Qiyu Zhao
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yijing Zhang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Juanwei Ma
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Minghuan Lei
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zhihui Zhang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hui Xue
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jiawei Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zuhao Sun
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jinglei Xu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Zhai
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Mengjing Cai
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou 450000, China.
| | - Wenshuang Zhu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Feng Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
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Rychagov N, Del Re EC, Zeng V, Oykhman E, Lizano P, McDowell J, Yassin W, Clementz BA, Gershon E, Pearlson G, Sweeney JA, Tamminga CA, Keshavan MS. Gyrification across psychotic disorders: A bipolar-schizophrenia network of intermediate phenotypes study. Schizophr Res 2024; 271:169-178. [PMID: 39032429 PMCID: PMC11384321 DOI: 10.1016/j.schres.2024.07.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 06/18/2024] [Accepted: 07/03/2024] [Indexed: 07/23/2024]
Abstract
BACKGROUND The profiles of cortical gyrification across schizophrenia, bipolar I disorder, and schizoaffective disorder have been studied to a limited extent, report discordant findings, and are rarely compared in the same study. Here we assess gyrification in a large dataset of psychotic disorder probands, categorized according to the DSM-IV. Furthermore, we explore gyrification changes with age across healthy controls and probands. METHODS Participants were recruited within the Bipolar-Schizophrenia Network of Intermediate Phenotypes study and received T1-MPRAGE and clinical assessment. Gyrification was measured using FreeSurfer 7.1.0. Pairwise t-tests were conducted in R, and age-related gyrification changes were analyzed in MATLAB. P values <0.05 after false discovery rate correction were considered significant. RESULTS Significant hypogyria in schizophrenia, bipolar disorder, and schizoaffective disorder probands compared to controls was found, with a significant difference bilaterally in the frontal lobe between schizophrenia and bipolar disorder probands. Verbal memory was associated with gyrification in the right frontal and right cingulate cortex in schizophrenia. Age-fitted gyrification curves differed significantly among psychotic disorders and controls. CONCLUSIONS Findings indicate hypogyria in DSM-IV psychotic disorders compared to controls and suggest differential patterns of gyrification across the different diagnoses. The study extends age related models of gyrification to psychotic disorder probands and supports that age-related differences in gyrification may differ across diagnoses. Fitted gyrification curves among probands categorized by DSM-IV significantly deviate from controls, with the model capturing early hypergyria and later hypogyria in schizophrenia compared to controls; this suggests unique disease and age-related changes in gyrification across psychotic disorders.
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Affiliation(s)
- Nicole Rychagov
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America
| | - Elisabetta C Del Re
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America; VA Boston HealthCare System, United States of America.
| | - Victor Zeng
- Beth Israel Deaconess Medical Center, United States of America
| | - Efim Oykhman
- Beth Israel Deaconess Medical Center, United States of America
| | - Paulo Lizano
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America
| | | | - Walid Yassin
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America
| | | | | | | | | | - Carol A Tamminga
- University of Texas Southwestern Medical Center, United States of America
| | - Matcheri S Keshavan
- Harvard University, United States of America; Beth Israel Deaconess Medical Center, United States of America; Harvard Medical School, United States of America
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Wang Y, Fan L, He Y, Yuan L, Li Z, Zheng W, Tang J, Li C, Jin K, Liu W, Chen X, Ouyang L, Ma X. Compensatory thickening of cortical thickness in early stage of schizophrenia. Cereb Cortex 2024; 34:bhae255. [PMID: 38897816 DOI: 10.1093/cercor/bhae255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Brain structural abnormality has been observed in the prodromal and early stages of schizophrenia, but the mechanism behind it is not clear. In this study, to explore the association between cortical abnormalities, metabolite levels, inflammation levels and clinical symptoms of schizophrenia, 51 drug-naive first-episode schizophrenia (FES) patients, 51 ultra-high risk for psychosis (UHR), and 51 healthy controls (HC) were recruited. We estimated gray matter volume (GMV), cortical thickness (CT), concentrations of different metabolites, and inflammatory marks among four groups (UHR converted to psychosis [UHR-C], UHR unconverted to psychosis [UHR-NC], FES, HC). UHR-C group had more CT in the right lateral occipital cortex and the right medial orbito-frontal cortex (rMOF), while a significant reduction in CT of the right fusiform cortex was observed in FES group. UHR-C group had significantly higher concentration of IL-6, while IL-17 could significantly predict CT of the right fusiform and IL-4 and IL-17 were significant predictors of CT in the rMOF. To conclude, it is reasonable to speculate that the increased CT in UHR-C group is related to the inflammatory response, and may participate in some compensatory mechanism, but might become exhaustive with the progress of the disease due to potential neurotoxic effects.
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Affiliation(s)
- Yujue Wang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Lejia Fan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, 6875 Bd LaSalle, Verdun, Montreal, QC H4H 1R3, Canada
| | - Ying He
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Liu Yuan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Zongchang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Wenxiao Zheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Jinsong Tang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Yuhua District catalpa garden road 86, Changsha 410007, Hunan, China
| | - Ke Jin
- Department of Radiology, Hunan Children's Hospital, Yuhua District catalpa garden road 86, Changsha 410007, Hunan, China
| | - Weiqing Liu
- Clinical Research Center for Mental Disorders, Shanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, #165 Sanlin road, Pudong New Area,Shanghai 200124, China
- Laboratory for Molecular Mechanisms of Brain Development, Center for Brain Science (CBS), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Xiaogang Chen
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Lijun Ouyang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
| | - Xiaoqian Ma
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- China National Technology Institute on Mental Disorders, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Institute of Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
- Hunan Medical Center for Mental Health, Furong District No. 139 Renmin Road, Changsha 410011, Hunan, China
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Zhao Y, Zhang Q, Shah C, Li Q, Sweeney JA, Li F, Gong Q. Cortical Thickness Abnormalities at Different Stages of the Illness Course in Schizophrenia: A Systematic Review and Meta-analysis. JAMA Psychiatry 2022; 79:560-570. [PMID: 35476125 PMCID: PMC9047772 DOI: 10.1001/jamapsychiatry.2022.0799] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 03/03/2022] [Indexed: 02/05/2023]
Abstract
Importance Questions of whether and how cortical thickness (CTh) alterations differ over the course of schizophrenia (SCZ) have yet to be resolved. Objective To characterize CTh alterations across illness stages in SCZ. Data Sources PubMed, Embase, Web of Science, and Science Direct were screened for CTh studies published before June 15, 2021. Study Selection Original studies comparing whole-brain CTh alterations from healthy controls in individuals at clinical high-risk (CHR), first episode of psychosis (FEP), and long-term illness stages of SCZ were included. Data Extraction and Synthesis This preregistered systematic review and meta-analysis followed PRISMA reporting guidelines. Separate and pooled meta-analyses were performed using seed-based d mapping. Meta-regression analyses were conducted. Main Outcomes and Measures Cortical thickness differences from healthy control individuals across illness stages. Results Ten studies comprising 859 individuals with CHR (mean [SD] age, 21.02 [2.66] years; male, 573 [66.7%]), 12 studies including 671 individuals with FEP (mean [SD] age, 22.87 [3.99] years; male, 439 [65.4%]), and 10 studies comprising 579 individuals with long-term SCZ (mean [SD] age, 41.58 [6.95] years; male, 396 [68.4%]) were included. Compared with healthy control individuals, individuals with CHR showed cortical thinning in bilateral medial prefrontal cortex (z = -1.01; P < .001). Individuals with FEP showed cortical thinning in right lateral superior temporal cortex (z = -1.34; P < .001), right anterior cingulate cortex (z = -1.44; P < .001), and right insula (z = -1.14; P = .002). Individuals with long-term SCZ demonstrated CTh reductions in right insula (z = -3.25; P < .001), right inferior frontal cortex (z = -2.19; P < .001), and left (z = -2.37; P < .001) and right (z = -1.94; P = .002) temporal pole. There were no significant CTh differences between CHR and FEP. Individuals with long-term SCZ showed greater cortical thinning in right insula (z = -2.58; P < .001), right inferior frontal cortex (z = -2.32; P < .001), left lateral temporal cortex (z = -1.91; P = .002), and right temporal pole (z = -1.82; P = .002) than individuals with FEP. Combining all studies on SCZ, accelerated age-related CTh reductions were found in bilateral lateral middle temporal cortex and right pars orbitalis in inferior frontal cortex. Conclusions and Relevance The absence of significant differences between FEP and CHR noted in this systematic review and meta-analysis suggests that the onset of psychosis was not associated with robust CTh reduction. The greater cortical thinning in long-term SCZ compared with FEP with accelerated age-related reduction in CTh suggests progressive neuroanatomic alterations following illness onset. Caution in interpretation is needed because heterogeneity in samples and antipsychotic treatment may confound these results.
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Affiliation(s)
- Youjin Zhao
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qian Zhang
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Chandan Shah
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Qian Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - John A. Sweeney
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio
| | - Fei Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
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Aberizk K, Collins MA, Addington J, Bearden CE, Cadenhead KS, Cornblatt BA, Mathalon DH, McGlashan TH, Perkins DO, Tsuang MT, Woods SW, Cannon TD, Walker EF. Life Event Stress and Reduced Cortical Thickness in Youth at Clinical High Risk for Psychosis and Healthy Control Subjects. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:171-179. [PMID: 33930604 PMCID: PMC8551305 DOI: 10.1016/j.bpsc.2021.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/21/2021] [Accepted: 04/20/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND A decline in cortical thickness during early life appears to be a normal neuromaturational process. Accelerated cortical thinning has been linked with conversion to psychosis among individuals at clinical high risk for psychosis (CHR-P). Previous research indicates that exposure to life event stress (LES) is associated with exaggerated cortical thinning in both healthy and clinical populations, and LES is also linked with conversion to psychosis in CHR-P. To date, there are no reports on the relationship of LES with cortical thickness in CHR-P. This study examines this relationship and whether LES is linked with cortical thinning to a greater degree in individuals at CHR-P who convert to psychosis compared with individuals at CHR-P who do not convert and healthy control subjects. METHODS Controlling for age and gender (364 male, 262 female), this study examined associations between LES and baseline cortical thickness in 436 individuals at CHR-P (375 nonconverters and 61 converters) and 190 comparison subjects in the North American Prodrome Longitudinal Study. RESULTS Findings indicate that prebaseline cumulative LES is associated with reduced baseline cortical thickness in several regions among the CHR-P and control groups. Evidence suggests that LES is a risk factor for thinner cortex to the same extent across diagnostic groups, while CHR-P status is linked with thinner cortex in select regions after accounting for LES. CONCLUSIONS This research provides additional evidence to support the role of LES in cortical thinning in both healthy youth and those at CHR-P. Potential underlying mechanisms of the findings and implications for future research are discussed.
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Affiliation(s)
- Katrina Aberizk
- Department of Psychology, Emory University, Atlanta, Georgia.
| | - Meghan A Collins
- Department of Psychology, Yale University, New Haven, Connecticut
| | - Jean Addington
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, California; Department of Psychology, University of California Los Angeles, Los Angeles, California
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, California
| | | | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, California; San Francisco VA Medical Center, San Francisco, California
| | | | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Ming T Tsuang
- Department of Psychiatry, University of California San Diego, San Diego, California
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut; Department of Psychiatry, Yale University, New Haven, Connecticut
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, Georgia
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Cai J, Wei W, Zhao L, Li M, Li X, Liang S, Deng W, Du XD, Wang Q, Guo WJ, Ma X, Sham PC, Li T. Abnormal Brain Structure Morphology in Early-Onset Schizophrenia. Front Psychiatry 2022; 13:925204. [PMID: 35873260 PMCID: PMC9301254 DOI: 10.3389/fpsyt.2022.925204] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 05/31/2022] [Indexed: 11/25/2022] Open
Abstract
With less exposure to environmental and medication influences, individuals with early-onset schizophrenia (EOS) may provide valuable evidence to study the pathogenesis and phenotypic pattern of schizophrenia.T1-weighted magnetic resonance images were collected in 60 individuals with EOS and 40 healthy controls. Voxel-based morphometry and surface-based morphometry analyzes were performed. Gray matter volume, cortical thickness and cortical surface area were compared between the EOS and healthy controls and among schizophrenia subgroups (with or without family history of schizophrenia). Compared with healthy controls, the EOS group had reduced gray matter volume in the bilateral middle temporal gyrus and reduced cortical thickness in several brain regions. The sporadic early onset schizophrenia and the familial early onset schizophrenia showed different brain structure morphology. These findings suggest that abnormal brain structure morphology, especially in the temporal and frontal lobes, may be an important pathophysiological feature of EOS.
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Affiliation(s)
- Jia Cai
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Wei
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Liansheng Zhao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Mingli Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaojing Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Sugai Liang
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Deng
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiang Dong Du
- Suzhou Psychiatry Hospital, Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Qiang Wang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wan-Jun Guo
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Pak C Sham
- Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Center for PanorOmic Sciences, The University of Hong Kong, Hong Kong SAR, China.,State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Tao Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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7
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Gurholt TP, Lonning V, Nerland S, Jørgensen KN, Haukvik UK, Alloza C, Arango C, Barth C, Bearden CE, Berk M, Bohman H, Dandash O, Díaz‐Caneja CM, Edbom CT, van Erp TGM, Fett AJ, Frangou S, Goldstein BI, Grigorian A, Jahanshad N, James AC, Janssen J, Johannessen C, Karlsgodt KH, Kempton MJ, Kochunov P, Krabbendam L, Kyriakopoulos M, Lundberg M, MacIntosh BJ, Rund BR, Smelror RE, Sultan A, Tamnes CK, Thomopoulos SI, Vajdi A, Wedervang‐Resell K, Myhre AM, Andreassen OA, Thompson PM, Agartz I. Intracranial and subcortical volumes in adolescents with early-onset psychosis: A multisite mega-analysis from the ENIGMA consortium. Hum Brain Mapp 2022; 43:373-384. [PMID: 33017498 PMCID: PMC8675418 DOI: 10.1002/hbm.25212] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 09/11/2020] [Accepted: 09/13/2020] [Indexed: 12/27/2022] Open
Abstract
Early-onset psychosis disorders are serious mental disorders arising before the age of 18 years. Here, we investigate the largest neuroimaging dataset, to date, of patients with early-onset psychosis and healthy controls for differences in intracranial and subcortical brain volumes. The sample included 263 patients with early-onset psychosis (mean age: 16.4 ± 1.4 years, mean illness duration: 1.5 ± 1.4 years, 39.2% female) and 359 healthy controls (mean age: 15.9 ± 1.7 years, 45.4% female) with magnetic resonance imaging data, pooled from 11 clinical cohorts. Patients were diagnosed with early-onset schizophrenia (n = 183), affective psychosis (n = 39), or other psychotic disorders (n = 41). We used linear mixed-effects models to investigate differences in intracranial and subcortical volumes across the patient sample, diagnostic subgroup and antipsychotic medication, relative to controls. We observed significantly lower intracranial (Cohen's d = -0.39) and hippocampal (d = -0.25) volumes, and higher caudate (d = 0.25) and pallidum (d = 0.24) volumes in patients relative to controls. Intracranial volume was lower in both early-onset schizophrenia (d = -0.34) and affective psychosis (d = -0.42), and early-onset schizophrenia showed lower hippocampal (d = -0.24) and higher pallidum (d = 0.29) volumes. Patients who were currently treated with antipsychotic medication (n = 193) had significantly lower intracranial volume (d = -0.42). The findings demonstrate a similar pattern of brain alterations in early-onset psychosis as previously reported in adult psychosis, but with notably low intracranial volume. The low intracranial volume suggests disrupted neurodevelopment in adolescent early-onset psychosis.
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Affiliation(s)
- Tiril P. Gurholt
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Vera Lonning
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Stener Nerland
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Kjetil N. Jørgensen
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Unn K. Haukvik
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Department of Adult Mental Health, Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Clara Alloza
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Claudia Barth
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUCLALos AngelesCaliforniaUSA
- Department of PsychologyUCLALos AngelesCaliforniaUSA
| | - Michael Berk
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin UniversityGeelongVictoriaAustralia
- Orygen Youth Health Research CenterThe Florey Institute for Neuroscience and Department of PsychiatryParkvilleVictoriaAustralia
| | - Hannes Bohman
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
- Department of Neuroscience, Child and Adolescent PsychiatryUppsala UniversityUppsalaSweden
- Department of Clinical Science and Education SödersjukhusetKarolinska InstitutetStockholmSweden
| | - Orwa Dandash
- IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Deakin UniversityGeelongVictoriaAustralia
| | - Covadonga M. Díaz‐Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Carl T. Edbom
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
| | - Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human BehaviorUniversity of California IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of LearningUniversity of California Irvine and MemoryIrvineCaliforniaUSA
| | - Anne‐Kathrin J. Fett
- Department of PsychologyCity, University of LondonLondonUK
- Department of Psychosis StudiesIoPPNLondonUK
- Department of Clinical, Neuro and Developmental PsychologyVU AmsterdamAmsterdamNetherlands
| | - Sophia Frangou
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Benjamin I. Goldstein
- Center for Youth Bipolar Disorder, Sunnybrook Health Science CenterTorontoOntarioCanada
- Department of Psychiatry and PharmacologyUniversity of TorontoCanada
| | - Anahit Grigorian
- Center for Youth Bipolar Disorder, Sunnybrook Health Science CenterTorontoOntarioCanada
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Anthony C. James
- Department of PsychiatryUniversity of OxfordOxfordUK
- Oxford Health Foundation NHS TrustOxfordUK
| | - Joost Janssen
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental HealthHospital General Universitario Gregorio Marañón, IiSGM, CIBERSAMMadridSpain
- School of MedicineUniversidad ComplutenseMadridSpain
| | - Cecilie Johannessen
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Katherine H. Karlsgodt
- Department of PsychologyUCLALos AngelesCaliforniaUSA
- Department Psychiatry and Biobehavioral SciencesUCLALos AngelesCaliforniaUSA
| | | | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of PsychiatryUniversity of Maryland School of MedicineBaltimoreMarylandUSA
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental PsychologyVU AmsterdamAmsterdamNetherlands
| | - Marinos Kyriakopoulos
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology, and NeuroscienceKing's College LondonLondonUK
- National and Specialist Children's Inpatient Unit (Acorn Lodge), South London and Maudsley NHS Foundation TrustBeckenhamUK
| | - Mathias Lundberg
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
- Department of Neuroscience, Child and Adolescent PsychiatryUppsala UniversityUppsalaSweden
- Department of Clinical Science and Education SödersjukhusetKarolinska InstitutetStockholmSweden
- The Department of Clinical Science and EducationKI SÖSStockholmSweden
| | - Bradley J. MacIntosh
- Hurvitz Brain Sciences, Sunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoOntarioCanada
| | - Bjørn Rishovd Rund
- Department of PsychologyUniversity of OsloOsloNorway
- Department of ResearchVestre Viken Hospital TrustDrammenNorway
| | - Runar E. Smelror
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
| | - Alysha Sultan
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Department of PharmacologyUniversity of TorontoTorontoOntarioCanada
| | - Christian K. Tamnes
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | | | - Ariana Vajdi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUCLALos AngelesCaliforniaUSA
| | - Kirsten Wedervang‐Resell
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Anne M. Myhre
- Child and Adolescent Psychiatry Unit, Division of Mental Health and Addiction, Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric Research and Development, Division of Mental Health and AddictionOslo University HospitalOsloNorway
| | - Ole A. Andreassen
- Norwegian Center for Mental Disorders Research (NORMENT), Division of Mental Health and AddictionOslo University HospitalOsloNorway
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Paul M. Thompson
- Department of Psychiatry and PharmacologyUniversity of TorontoCanada
| | - Ingrid Agartz
- Norwegian Center for Mental Disorders Research (NORMENT), Institute of Clinical MedicineUniversity of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatry Research, Department of Clinical NeuroscienceKarolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, SwedenStockholmSweden
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8
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Zhou Z, Wang K, Tang J, Wei D, Song L, Peng Y, Fu Y, Qiu J. Cortical thickness distinguishes between major depression and schizophrenia in adolescents. BMC Psychiatry 2021; 21:361. [PMID: 34284747 PMCID: PMC8293570 DOI: 10.1186/s12888-021-03373-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 07/08/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Early diagnosis of adolescent psychiatric disorder is crucial for early intervention. However, there is extensive comorbidity between affective and psychotic disorders, which increases the difficulty of precise diagnoses among adolescents. METHODS We obtained structural magnetic resonance imaging scans from 150 adolescents, including 67 and 47 patients with major depressive disorder (MDD) and schizophrenia (SCZ), as well as 34 healthy controls (HC) to explore whether psychiatric disorders could be identified using a machine learning technique. Specifically, we used the support vector machine and the leave-one-out cross-validation method to distinguish among adolescents with MDD and SCZ and healthy controls. RESULTS We found that cortical thickness was a classification feature of a) MDD and HC with 79.21% accuracy where the temporal pole had the highest weight; b) SCZ and HC with 69.88% accuracy where the left superior temporal sulcus had the highest weight. Notably, adolescents with MDD and SCZ could be classified with 62.93% accuracy where the right pars triangularis had the highest weight. CONCLUSIONS Our findings suggest that cortical thickness may be a critical biological feature in the diagnosis of adolescent psychiatric disorders. These findings might be helpful to establish an early prediction model for adolescents to better diagnose psychiatric disorders.
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Affiliation(s)
- Zheyi Zhou
- grid.419897.a0000 0004 0369 313XKey Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715 China ,grid.263906.8Faculty of Psychology, Southwest University, No.2 Tiansheng Road, Beibei District, Chongqing, 400715 China
| | - Kangcheng Wang
- grid.410585.d0000 0001 0495 1805Faculty of Psychology, Shandong Normal University, Jinan, 250014 Shandong China
| | - Jinxiang Tang
- grid.452206.7Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1, Yixueyuan Road, Yuzhong District, Chongqing, 400016 China ,Sleep and Psychology Center, The Bishan Hospital of Chongqing, Chongqing, 402760 China
| | - Dongtao Wei
- grid.419897.a0000 0004 0369 313XKey Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715 China ,grid.263906.8Faculty of Psychology, Southwest University, No.2 Tiansheng Road, Beibei District, Chongqing, 400715 China
| | - Li Song
- grid.419897.a0000 0004 0369 313XKey Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715 China ,grid.263906.8Faculty of Psychology, Southwest University, No.2 Tiansheng Road, Beibei District, Chongqing, 400715 China
| | - Yadong Peng
- grid.452206.7Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1, Yixueyuan Road, Yuzhong District, Chongqing, 400016 China ,Department of Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147 China
| | - Yixiao Fu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, No.1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China. .,Faculty of Psychology, Southwest University, No.2 Tiansheng Road, Beibei District, Chongqing, 400715, China. .,Collaborative Innovation Center of Assessment Toward Basic Education Quality, Southwest University Branch, Beijing Normal University, Beijing, 100875, China.
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9
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Drakulich S, Thiffault AC, Olafson E, Parent O, Labbe A, Albaugh MD, Khundrakpam B, Ducharme S, Evans A, Chakravarty MM, Karama S. Maturational trajectories of pericortical contrast in typical brain development. Neuroimage 2021; 235:117974. [PMID: 33766753 PMCID: PMC8278832 DOI: 10.1016/j.neuroimage.2021.117974] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 02/27/2021] [Accepted: 03/17/2021] [Indexed: 11/16/2022] Open
Abstract
In the last few years, a significant amount of work has aimed to characterize maturational trajectories of cortical development. The role of pericortical microstructure putatively characterized as the gray-white matter contrast (GWC) at the pericortical gray-white matter boundary and its relationship to more traditional morphological measures of cortical morphometry has emerged as a means to examine finer grained neuroanatomical underpinnings of cortical changes. In this work, we characterize the GWC developmental trajectories in a representative sample (n = 394) of children and adolescents (~4 to ~22 years of age), with repeated scans (1-3 scans per subject, total scans n = 819). We tested whether linear, quadratic, or cubic trajectories of contrast development best described changes in GWC. A best-fit model was identified vertex-wise across the whole cortex via the Akaike Information Criterion (AIC). GWC across nearly the whole brain was found to significantly change with age. Cubic trajectories were likeliest for 63% of vertices, quadratic trajectories were likeliest for 20% of vertices, and linear trajectories were likeliest for 16% of vertices. A main effect of sex was observed in some regions, where males had a higher GWC than females. However, no sex by age interactions were found on GWC. In summary, our results suggest a progressive decrease in GWC at the pericortical boundary throughout childhood and adolescence. This work contributes to efforts seeking to characterize typical, healthy brain development and, by extension, can help elucidate aberrant developmental trajectories.
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Affiliation(s)
- Stefan Drakulich
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Anne-Charlotte Thiffault
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Emily Olafson
- Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Olivier Parent
- Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada
| | - Aurelie Labbe
- HEC Montréal, 3000, chemin de la Côte-Sainte-Catherine, Montreal, QC H3T 2A7, Canada
| | - Matthew D Albaugh
- Department of Psychiatry, Larnier College of Medicine, University of Vermont, United States
| | - Budhachandra Khundrakpam
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Simon Ducharme
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Alan Evans
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada
| | - Mallar M Chakravarty
- Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
| | - Sherif Karama
- Montreal Neurological Institute, McGill University, 3801 Rue University, Montréal, QC H3A 2B4, Canada; Douglas Institute, McGill University, 6875 Boulevard LaSalle, Verdun, QC H4H 1R3, Canada.
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10
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Li Q, Cao X, Liu S, Li Z, Wang Y, Cheng L, Yang C, Xu Y. Dynamic Alterations of Amplitude of Low-Frequency Fluctuations in Patients With Drug-Naïve First-Episode Early Onset Schizophrenia. Front Neurosci 2020; 14:901. [PMID: 33122982 PMCID: PMC7573348 DOI: 10.3389/fnins.2020.00901] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 08/03/2020] [Indexed: 12/26/2022] Open
Abstract
Abnormalities in static neural activity have been widely reported in early onset schizophrenia (EOS). However, dynamic brain activity alterations over time in EOS are unclear. Here, we investigated whether temporal dynamic changes in spontaneous neural activity are influenced by EOS. A total of 78 drug-naïve first-episode patients with EOS and 90 healthy controls (HCs) were enrolled in this study. Dynamic amplitude of low-frequency fluctuations (dALFF) was performed to examine the abnormal time-varying local neural activity in EOS. Furthermore, we investigated the relationships between abnormalities in dALFF variability and clinical characteristics in EOS patients. Compared to HCs, EOS patients showed significantly decreased dALFF variability in the bilateral precuneus, right superior marginal gyrus, right post-central gyrus and increased dALFF in the right middle temporal gyrus (MTG). Moreover, increased dALFF variability in MTG was negatively associated with negative symptoms in EOS. Our findings reveal increased dynamic local neural activity in higher order networks of the cortex, suggesting that enhanced spontaneous brain activity may be a predominant neural marker for brain maturation. In addition, decreased dALFF variability in the default mode network (DMN) and limbic system may reflect unusually dynamic neural activity. This dysfunctional brain activity could distinguish between patients and HCs and deepen our understanding of the pathophysiological mechanisms of EOS.
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Affiliation(s)
- Qiang Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xiaohua Cao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Zexuan Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Long Cheng
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chengxiang Yang
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
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11
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Ioakeimidis V, Haenschel C, Yarrow K, Kyriakopoulos M, Dima D. A Meta-analysis of Structural and Functional Brain Abnormalities in Early-Onset Schizophrenia. ACTA ACUST UNITED AC 2020. [DOI: 10.1093/schizbullopen/sgaa016] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Abstract
Early-onset schizophrenia (EOS) patients demonstrate brain changes that are similar to severe cases of adult-onset schizophrenia. Neuroimaging research in EOS is limited due to the rarity of the disorder. The present meta-analysis aims to consolidate MRI and functional MRI findings in EOS. Seven voxel-based morphometry (VBM) and 8 functional MRI studies met the inclusion criteria, reporting whole-brain analyses of EOS vs healthy controls. Activation likelihood estimation (ALE) was conducted to identify aberrant anatomical or functional clusters across the included studies. Separate ALE analyses were performed, first for all task-dependent studies (Cognition ALE) and then only for working memory ones (WM ALE). The VBM ALE revealed no significant clusters for gray matter volume reductions in EOS. Significant hypoactivations peaking in the right anterior cingulate cortex (rACC) and the right temporoparietal junction (rTPJ) were detected in the Cognition ALE. In the WM ALE, consistent hypoactivations were found in the left precuneus (lPreC), the right inferior parietal lobule (rIPL) and the rTPJ. These hypoactivated areas show strong associations with language, memory, attention, spatial, and social cognition. The functional co-activated networks of each suprathreshold ALE cluster, identified using the BrainMap database, revealed a core co-activation network with similar topography to the salience network. Our results add support to posterior parietal, ACC and rTPJ dysfunction in EOS, areas implicated in the cognitive impairments characterizing EOS. The salience network lies at the core of these cognitive processes, co-activating with the hypoactivating regions, and thus highlighting the importance of salience dysfunction in EOS.
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Affiliation(s)
- Vasileios Ioakeimidis
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
| | - Corinna Haenschel
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
| | - Kielan Yarrow
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
| | - Marinos Kyriakopoulos
- National and Specialist Acorn Lodge Inpatient Children Unit, South London & Maudsley NHS Trust, London, UK
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City, University of London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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12
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Assari S, Akhlaghipour G, Saqib M, Boyce S, Bazargan M. Prefrontal Cortex Response to Threat: Race by Age Variation in 9-10 Year Old Children. JOURNAL OF MENTAL HEALTH & CLINICAL PSYCHOLOGY 2020; 4:1-12. [PMID: 33241232 DOI: 10.29245/2578-2959/2020/4.1209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Considerable research has suggested that race and age are two major determinants of brain development, including but not limited to development of the prefrontal cortex (PFC). Minorities' Diminished Returns (MDRs), however, suggests that race (as a proxy of racism) may interact with various determinants of human and brain development. Minimal knowledge, however, exists on whether age and race also interact on shaping PFC response to threat among American children. PURPOSE Using data from a task-based functional brain imaging study and considering race as a sociological rather than a biological construct, we investigated combined effects of race and age on prefrontal cortical (PFC) response to threat. We explored racial heterogeneities in the association between age and PFC response to threat by comparing Black and White children. METHODS This study used the task-based functional Magnetic Resonance Imaging (fMRI) data from the Adolescents Brain Cognitive Development (ABCD) study, a national, landmark, multi-center brain imaging investigation of 9-10 years old children in the US. The primary outcomes were mean beta weights of n-back runs measuring PFC response to threating versus neutral face contrast in the following regions of interest (ROIs): left hemisphere-lateral orbito-frontal, left hemisphere -superior-frontal, right hemisphere -caudal middle frontal, and right hemisphere -superior frontal cortex. The independent variable was age. Covariates were sex, ethnicity, family socioeconomic status, and neighborhood socioeconomic status. Race was the focal moderator. To analyze the data, we used linear regression models without and with interactions and SES as covariates. RESULTS We included 5,066 9-10 years old children. Age and race did not show direct effects on PFC response to threatening relative to neutral faces. While ethnicity, sex, and socioeconomic status were controlled, age and race showed a systematic interaction on PFC response to threatening relative to neutral faces. CONCLUSIONS For American children, race and age do not have direct effects but multiplicative effects on PFC response to threat. The results may be reflective of social inequalities in how Black and White children are socialized and developed. The results are important given the role of the PFC in regulating the limbic system response to threat. Coordinated work of the limbic system and PFC is a core element of children's behavioral and emotional development. Future research is needed on how social stratification and racism shape emotion processing and regulation of American children in response to threat.
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Affiliation(s)
- Shervin Assari
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA.,Department of Urban Public Health, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | | | - Mohammed Saqib
- Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, USA
| | - Shanika Boyce
- Department of Pediatrics, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
| | - Mohsen Bazargan
- Department of Family Medicine, Charles R. Drew University of Medicine and Science, Los Angeles, CA, USA
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13
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Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls. Neuropsychopharmacology 2019; 44:898-906. [PMID: 30635616 PMCID: PMC6461913 DOI: 10.1038/s41386-018-0298-z] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 12/09/2018] [Accepted: 12/13/2018] [Indexed: 12/24/2022]
Abstract
Schizophrenia and bipolar disorder (BD) may be disorders of accelerated aging. Direct comparison of healthy aging populations with schizophrenia and BD patients across the adult lifespan may help inform this theory. In total, 225 individuals (91 healthy controls, 81 schizophrenia, 53 euthymic BD) underwent 3T T1-weighted magnetic resonance imaging, diffusion tensor imaging, and cognitive testing. We analyzed associations among age, diagnosis, and cognition with cortical thickness and fractional anisotropy (FA) using general linear models. We then assessed "brain age" using a random forest algorithm, which was also assessed in an independent sample (n = 147). Participants with schizophrenia had lower cortical thickness and FA compared with the other two groups, most prominently in fronto-temporal circuitry. These brain changes were more evident in younger participants than in older ones, yet were associated with cognitive performance independent of diagnosis. Predicted age was 8 years greater than chronological age in individuals with schizophrenia in the first sample and 6 years greater in the second sample. Predicted and chronological age were not different in BD. Differences in brain circuitry are present from illness onset most prominently in schizophrenia and to a lesser extent in BD. These results support a non-progressive "early hit" hypothesis/etiology of illness in the major psychoses. Brain age differences support the hypothesized early aging mechanism in schizophrenia but not in BD.
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14
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Morphometry and Development: Changes in Brain Structure from Birth to Adult Age. NEUROMETHODS 2018. [DOI: 10.1007/978-1-4939-7647-8_10] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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15
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Tamnes CK, Agartz I. White Matter Microstructure in Early-Onset Schizophrenia: A Systematic Review of Diffusion Tensor Imaging Studies. J Am Acad Child Adolesc Psychiatry 2016; 55:269-79. [PMID: 27015717 DOI: 10.1016/j.jaac.2016.01.004] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 12/16/2015] [Accepted: 01/20/2016] [Indexed: 01/24/2023]
Abstract
OBJECTIVE Neurodevelopmental processes and neural connectivity are thought to play pivotal roles in schizophrenia. This article reviews diffusion tensor imaging (DTI) studies of brain white matter connections and microstructure and their development in patients with early-onset schizophrenia (EOS), that is, schizophrenia with an age of onset before 18 years. METHOD A systematic literature search revealed 21 original case-control DTI studies of children and/or adolescents with EOS. RESULTS Nearly all studies report significantly lower regional fractional anisotropy (FA) in patients with EOS than in healthy control participants. However, the anatomical locations and extent of these differences are highly variable across studies. Furthermore, consistent evidence for associations between DTI indices and age of onset, medication variables, and measures of symptomatology and cognition in EOS is lacking. Only 3 available studies have investigated cross-sectional age-related differences or longitudinal changes in DTI measures in adolescents with EOS. The results are mixed, with different studies indicating diverging, converging, or parallel developmental FA trajectories between patients and controls. CONCLUSION The study of brain structural connectivity, as inferred from DTI, and its development in EOS may inform us on the origin and ontogeny of schizophrenia. We suggest some directions for future research in this field and argue for increased focus on developmental questions. Specifically, further investigations of age of onset effects and multimethod longitudinal studies of structural and functional connectivity development before, at, and after onset of schizophrenia and related syndromes in children and adolescents are called for.
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Affiliation(s)
- Christian K Tamnes
- Research Group for Lifespan Changes in Brain and Cognition, University of Oslo, Norway.
| | - Ingrid Agartz
- NORMENT (Norwegian Centre for Mental Disorders Research), KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Institute of Clinical Medicine, University of Oslo, Norway and with Diakonhjemmet Hospital, Oslo, Norway
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16
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Douet V, Chang L, Lee K, Ernst T. ERBB4 polymorphism and family history of psychiatric disorders on age-related cortical changes in healthy children. Brain Imaging Behav 2016; 9:128-40. [PMID: 25744101 DOI: 10.1007/s11682-015-9363-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Genetic variations in ERBB4 were associated with increased susceptibility for schizophrenia (SCZ) and bipolar disorders (BPD). Structural imaging studies showed cortical abnormalities in adolescents and adults with SCZ or BPD. However, less is known about subclinical cortical changes or the influence of ERBB4 on cortical development. 971 healthy children (ages 3-20 years old; 462 girls and 509 boys) were genotyped for the ERBB4-rs7598440 variants, had structural MRI, and cognitive evaluation (NIH Toolbox ®). We investigated the effects of ERBB4 variants and family history of SCZ and/or BPD (FH) on cortical measures and cognitive performances across ages 3-20 years using a general additive model. Variations in ERBB4 and FH impact differentially the age-related cortical changes in regions often affected by SCZ and BPD. The ERBB4-TT-risk genotype children with no FH had subtle cortical changes across the age span, primarily located in the left temporal lobe and superior parietal cortex. In contrast, the TT-risk genotype children with FH had more pronounced age-related changes, mainly in the frontal lobes compared to the non-risk genotype children. Interactive effects of age, FH and ERBB4 variations were also found on episodic memory and working memory, which are often impaired in SCZ and BPD. Healthy children carrying the risk-genotype in ERBB4 and/or with FH had cortical measures resembling those reported in SCZ or BPD. These subclinical cortical variations may provide early indicators for increased risk of psychiatric disorders and improve our understanding of the effect of the NRG1-ERBB4 pathway on brain development.
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Affiliation(s)
- Vanessa Douet
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii and The Queen's Medical Center, 1356 Lusitana Street, UH Tower, Room 716, Honolulu, HI, 96813, USA,
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Edwin Thanarajah S, Han CE, Rotarska-Jagiela A, Singer W, Deichmann R, Maurer K, Kaiser M, Uhlhaas PJ. Abnormal Connectional Fingerprint in Schizophrenia: A Novel Network Analysis of Diffusion Tensor Imaging Data. Front Psychiatry 2016; 7:114. [PMID: 27445870 PMCID: PMC4928135 DOI: 10.3389/fpsyt.2016.00114] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 06/10/2016] [Indexed: 12/11/2022] Open
Abstract
The graph theoretical analysis of structural magnetic resonance imaging (MRI) data has received a great deal of interest in recent years to characterize the organizational principles of brain networks and their alterations in psychiatric disorders, such as schizophrenia. However, the characterization of networks in clinical populations can be challenging, since the comparison of connectivity between groups is influenced by several factors, such as the overall number of connections and the structural abnormalities of the seed regions. To overcome these limitations, the current study employed the whole-brain analysis of connectional fingerprints in diffusion tensor imaging data obtained at 3 T of chronic schizophrenia patients (n = 16) and healthy, age-matched control participants (n = 17). Probabilistic tractography was performed to quantify the connectivity of 110 brain areas. The connectional fingerprint of a brain area represents the set of relative connection probabilities to all its target areas and is, hence, less affected by overall white and gray matter changes than absolute connectivity measures. After detecting brain regions with abnormal connectional fingerprints through similarity measures, we tested each of its relative connection probability between groups. We found altered connectional fingerprints in schizophrenia patients consistent with a dysconnectivity syndrome. While the medial frontal gyrus showed only reduced connectivity, the connectional fingerprints of the inferior frontal gyrus and the putamen mainly contained relatively increased connection probabilities to areas in the frontal, limbic, and subcortical areas. These findings are in line with previous studies that reported abnormalities in striatal-frontal circuits in the pathophysiology of schizophrenia, highlighting the potential utility of connectional fingerprints for the analysis of anatomical networks in the disorder.
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Affiliation(s)
- Sharmili Edwin Thanarajah
- Department of Neurology, University Hospital of Cologne, Cologne, Germany; Department of Neurophysiology, Max-Planck Institute for Brain Research, Frankfurt am Main, Germany; Max-Planck Institute for Metabolism Research, Cologne, Germany
| | - Cheol E Han
- Department of Electronics and Information Engineering, Korea University, Sejong, South Korea; Department of Bio-Convergence Engineering, Korea University, Seoul, South Korea; Department of Brain and Cognitive Sciences, Seoul National University, Seoul, South Korea
| | - Anna Rotarska-Jagiela
- Department of Neurophysiology, Max-Planck Institute for Brain Research , Frankfurt am Main , Germany
| | - Wolf Singer
- Department of Neurophysiology, Max-Planck Institute for Brain Research, Frankfurt am Main, Germany; Ernst-Strüngmann Institut, Frankfurt am Main, Germany; Frankfurt Institute of Advanced Studies, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Ralf Deichmann
- Brain Imaging Centre, Goethe University Frankfurt am Main , Frankfurt am Main , Germany
| | - Konrad Maurer
- Department of Psychiatry, Psychosomatics and Psychotherapy, Goethe University Frankfurt am Main , Frankfurt am Main , Germany
| | - Marcus Kaiser
- Department of Brain and Cognitive Sciences, Seoul National University, Seoul, South Korea; Interdisciplinary Computing and Complex BioSystems (ICOS) Research, School of Computing Science, Newcastle University, Newcastle, UK; Institute of Neuroscience, Newcastle University, Newcastle, UK
| | - Peter J Uhlhaas
- Department of Neurophysiology, Max-Planck Institute for Brain Research, Frankfurt am Main, Germany; Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, UK
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Development and aging of cortical thickness correspond to genetic organization patterns. Proc Natl Acad Sci U S A 2015; 112:15462-7. [PMID: 26575625 DOI: 10.1073/pnas.1508831112] [Citation(s) in RCA: 176] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
There is a growing realization that early life influences have lasting impact on brain function and structure. Recent research has demonstrated that genetic relationships in adults can be used to parcellate the cortex into regions of maximal shared genetic influence, and a major hypothesis is that genetically programmed neurodevelopmental events cause a lasting impact on the organization of the cerebral cortex observable decades later. Here we tested how developmental and lifespan changes in cortical thickness fit the underlying genetic organizational principles of cortical thickness in a longitudinal sample of 974 participants between 4.1 and 88.5 y of age with a total of 1,633 scans, including 773 scans from children below 12 y. Genetic clustering of cortical thickness was based on an independent dataset of 406 adult twins. Developmental and adult age-related changes in cortical thickness followed closely the genetic organization of the cerebral cortex, with change rates varying as a function of genetic similarity between regions. Cortical regions with overlapping genetic architecture showed correlated developmental and adult age change trajectories and vice versa for regions with low genetic overlap. Thus, effects of genes on regional variations in cortical thickness in middle age can be traced to regional differences in neurodevelopmental change rates and extrapolated to further adult aging-related cortical thinning. This finding suggests that genetic factors contribute to cortical changes through life and calls for a lifespan perspective in research aimed at identifying the genetic and environmental determinants of cortical development and aging.
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Ducharme S, Albaugh MD, Nguyen TV, Hudziak JJ, Mateos-Pérez JM, Labbe A, Evans AC, Karama S. Trajectories of cortical thickness maturation in normal brain development--The importance of quality control procedures. Neuroimage 2015; 125:267-279. [PMID: 26463175 DOI: 10.1016/j.neuroimage.2015.10.010] [Citation(s) in RCA: 202] [Impact Index Per Article: 22.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Revised: 10/02/2015] [Accepted: 10/05/2015] [Indexed: 10/22/2022] Open
Abstract
Several reports have described cortical thickness (CTh) developmental trajectories, with conflicting results. Some studies have reported inverted-U shape curves with peaks of CTh in late childhood to adolescence, while others suggested predominant monotonic decline after age 6. In this study, we reviewed CTh developmental trajectories in the NIH MRI Study of Normal Brain Development, and in a second step, evaluated the impact of post-processing quality control (QC) procedures on identified trajectories. The quality-controlled sample included 384 individual subjects with repeated scanning (1-3 per subject, total scans n=753) from 4.9 to 22.3years of age. The best-fit model (cubic, quadratic, or first-order linear) was identified at each vertex using mixed-effects models. The majority of brain regions showed linear monotonic decline of CTh. There were few areas of cubic trajectories, mostly in bilateral temporo-parietal areas and the right prefrontal cortex, in which CTh peaks were at, or prior to, age 8. When controlling for total brain volume, CTh trajectories were even more uniformly linear. The only sex difference was faster thinning of occipital areas in boys compared to girls. The best-fit model for whole brain mean thickness was a monotonic decline of 0.027mm per year. QC procedures had a significant impact on identified trajectories, with a clear shift toward more complex trajectories (i.e., quadratic or cubic) when including all scans without QC (n=954). Trajectories were almost exclusively linear when using only scans that passed the most stringent QC (n=598). The impact of QC probably relates to decreasing the inclusion of scans with CTh underestimation secondary to movement artifacts, which are more common in younger subjects. In summary, our results suggest that CTh follows a simple linear decline in most cortical areas by age 5, and all areas by age 8. This study further supports the crucial importance of implementing post-processing QC in CTh studies of development, aging, and neuropsychiatric disorders.
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Affiliation(s)
- Simon Ducharme
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC H3A 1A1, Canada.
| | - Matthew D Albaugh
- Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT 05401, USA.
| | - Tuong-Vi Nguyen
- McGill University Health Centre, Department of Psychiatry, McGill University, 1025 Pine Avenue West, Montreal, QC H3A 1A1, Canada; McGill University Health Centre, Department of Obstetrics-Gynecology, McGill University, Montreal, QC H3A 1A1, Canada.
| | - James J Hudziak
- Vermont Centre for Children, Youth and Families, Fletcher Allen Pediatric Psychiatry, University of Vermont, 1 South Prospect Street, Arnold, Level 3, Burlington, VT 05401, USA.
| | - J M Mateos-Pérez
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
| | - Aurelie Labbe
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC H4H 1R3, Canada; Douglas Mental Health University Institute, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, 6875 Lasalle Boulevard, Verdun, QC H4H 1R3, Canada.
| | - Alan C Evans
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada.
| | - Sherif Karama
- Montreal Neurological Institute, McConnell Brain Imaging Centre, McGill University, 3801 University Street, Montreal, QC H3A 2B4, Canada; Douglas Mental Health University Institute, Department of Psychiatry, McGill University, 6875 Lasalle Boulevard, Verdun, QC H4H 1R3, Canada.
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Juuhl-Langseth M, Hartberg CB, Holmén A, Thormodsen R, Groote IR, Rimol LM, Emblem KE, Agartz I, Rund BR. Impaired Verbal Learning Is Associated with Larger Caudate Volumes in Early Onset Schizophrenia Spectrum Disorders. PLoS One 2015; 10:e0130435. [PMID: 26230626 PMCID: PMC4521864 DOI: 10.1371/journal.pone.0130435] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Accepted: 05/20/2015] [Indexed: 01/31/2023] Open
Abstract
Background Both brain structural abnormalities and neurocognitive impairments are core features of schizophrenia. We have previously reported enlargements in subcortical brain structure volumes and impairment of neurocognitive functioning as measured by the MATRICS Cognitive Consensus Battery (MCCB) in early onset schizophrenia spectrum disorders (EOS). To our knowledge, no previous study has investigated whether neurocognitive performance and volumetric abnormalities in subcortical brain structures are related in EOS. Methods Twenty-four patients with EOS and 33 healthy controls (HC) were included in the study. Relationships between the caudate nucleus, the lateral and fourth ventricles volumes and neurocognitive performance were investigated with multivariate linear regression analyses. Intracranial volume, age, antipsychotic medication and IQ were included as independent predictor-variables. Results The caudate volume was negatively correlated with verbal learning performance uniquely in the EOS group (r=-.454, p=.034). There were comparable positive correlations between the lateral ventricular volume and the processing speed, attention and reasoning and problem solving domains for both the EOS patients and the healthy controls. Antipsychotic medication was related to ventricular enlargements, but did not affect the brain structure-function relationship. Conclusion Enlargement of the caudate volume was related to poorer verbal learning performance in patients with EOS. Despite a 32% enlargement of the lateral ventricles in the EOS group, associations to processing speed, attention and reasoning and problem solving were similar for both the EOS and the HC groups.
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Affiliation(s)
- Monica Juuhl-Langseth
- Research Unit Child and Adolescent Mental Health, Oslo University Hospital, Oslo Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- * E-mail:
| | - Cecilie B. Hartberg
- NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Aina Holmén
- Department of Psychology, University of Oslo, Oslo, Norway
- Mental Health Services, Akershus University Hospital, Lørenskog, Norway
| | | | - Inge R. Groote
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Lars M. Rimol
- Department of Laboratory Medicine, Children's and Women's Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kyrre E. Emblem
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Ingrid Agartz
- NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Bjørn R. Rund
- Department of Psychology, University of Oslo, Oslo, Norway
- Vestre Viken Hospital Trust, Drammen, Norway
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Local-to-remote cortical connectivity in early- and adulthood-onset schizophrenia. Transl Psychiatry 2015; 5:e566. [PMID: 25966366 PMCID: PMC4471290 DOI: 10.1038/tp.2015.59] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 02/12/2015] [Accepted: 02/23/2015] [Indexed: 12/18/2022] Open
Abstract
Schizophrenia is increasingly thought of as a brain network or connectome disorder and is associated with neurodevelopmental processes. Previous studies have suggested the important role of anatomical distance in developing a connectome with optimized performance regarding both the cost and efficiency of information processing. Distance-related disturbances during development have not been investigated in schizophrenia. To test the distance-related miswiring profiles of connectomes in schizophrenia, we acquired resting-state images from 20 adulthood-onset (AOS) and 26 early-onset schizophrenia (EOS) patients, as well as age-matched healthy controls. All patients were drug naive and had experienced their first psychotic episode. A novel threshold-free surface-based analytic framework was developed to examine local-to-remote functional connectivity profiles in both AOS and EOS patients. We observed consistent increases of local connectivity across both EOS and AOS patients in the right superior frontal gyrus, where the connectivity strength was correlated with a positive syndrome score in AOS patients. In contrast, EOS but not AOS patients exhibited reduced local connectivity within the right postcentral gyrus and the left middle occipital cortex. These regions' remote connectivity with their interhemispheric areas and brain network hubs was altered. Diagnosis-age interactions were detectable for both local and remote connectivity profiles. The functional covariance between local and remote homotopic connectivity was present in typically developing controls, but was absent in EOS patients. These findings suggest that a distance-dependent miswiring pattern may be one of the key neurodevelopmental features of the abnormal connectome organization in schizophrenia.
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Hippocampal Pruning as a New Theory of Schizophrenia Etiopathogenesis. Mol Neurobiol 2015; 53:2065-2081. [PMID: 25902861 DOI: 10.1007/s12035-015-9174-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2014] [Accepted: 04/13/2015] [Indexed: 12/20/2022]
Abstract
Pruning in neurons has been suggested to be strongly involved in Schizophrenia's (SKZ) etiopathogenesis in recent biological, imaging, and genetic studies. We investigated the impact of protein-coding genes known to be involved in pruning, collected by a systematic literature research, in shaping the risk for SKZ in a case-control sample of 9,490 subjects (Psychiatric Genomics Consortium). Moreover, their modifications through evolution (humans, chimpanzees, and rats) and subcellular localization (as indicative of their biological function) were also investigated. We also performed a biological pathways (Gene Ontology) analysis. Genetics analyses found four genes (DLG1, NOS1, THBS4, and FADS1) and 17 pathways strongly involved in pruning and SKZ in previous literature findings to be significantly associated with the sample under analysis. The analysis of the subcellular localization found that secreted genes, and so regulatory ones, are the least conserved through evolution and also the most associated with SKZ. Their cell line and regional brain expression analysis found that their areas of primary expression are neuropil and the hippocampus, respectively. At the best of our knowledge, for the first time, we were able to describe the SKZ neurodevelopmental hypothesis starting from a single biological process. We can also hypothesize how alterations in pruning fine regulation and orchestration, strongly related with the evolutionary newest (and so more sensitive) secreted proteins, may be of particular relevance in the hippocampus. This early alteration may lead to a mis-structuration of neural connectivity, resulting in the different brain alteration that characterizes SKZ patients.
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Kong L, Herold CJ, Zöllner F, Salat DH, Lässer MM, Schmid LA, Fellhauer I, Thomann PA, Essig M, Schad LR, Erickson KI, Schröder J. Comparison of grey matter volume and thickness for analysing cortical changes in chronic schizophrenia: a matter of surface area, grey/white matter intensity contrast, and curvature. Psychiatry Res 2015; 231:176-83. [PMID: 25595222 DOI: 10.1016/j.pscychresns.2014.12.004] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2014] [Revised: 11/04/2014] [Accepted: 12/11/2014] [Indexed: 12/18/2022]
Abstract
Grey matter volume and cortical thickness are the two most widely used measures for detecting grey matter morphometric changes in various diseases such as schizophrenia. However, these two measures only share partial overlapping regions in identifying morphometric changes. Few studies have investigated the contributions of the potential factors to the differences of grey matter volume and cortical thickness. To investigate this question, 3T magnetic resonance images from 22 patients with schizophrenia and 20 well-matched healthy controls were chosen for analyses. Grey matter volume and cortical thickness were measured by VBM and Freesurfer. Grey matter volume results were then rendered onto the surface template of Freesurfer to compare the differences from cortical thickness in anatomical locations. Discrepancy regions of the grey matter volume and thickness where grey matter volume significantly decreased but without corresponding evidence of cortical thinning involved the rostral middle frontal, precentral, lateral occipital and superior frontal gyri. Subsequent region-of-interest analysis demonstrated that changes in surface area, grey/white matter intensity contrast and curvature accounted for the discrepancies. Our results suggest that the differences between grey matter volume and thickness could be jointly driven by surface area, grey/white matter intensity contrast and curvature.
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Affiliation(s)
- Li Kong
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany.
| | - Christina J Herold
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany
| | - Frank Zöllner
- Computer Assisted Clinical Medicine, University of Heidelberg, 68167 Mannheim, Germany
| | - David H Salat
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Marc M Lässer
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany
| | - Lena A Schmid
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany
| | - Iven Fellhauer
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany
| | - Philipp A Thomann
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany
| | - Marco Essig
- Department of Radiology, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Lothar R Schad
- Computer Assisted Clinical Medicine, University of Heidelberg, 68167 Mannheim, Germany
| | | | - Johannes Schröder
- Section of Geriatric Psychiatry, Department of Psychiatry, University of Heidelberg, Germany; Institute of Gerontology, University of Heidelberg, Germany.
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Li ML, Xiang B, Li YF, Hu X, Wang Q, Guo WJ, Lei W, Huang CH, Zhao LS, Li N, Ren HY, Wang HY, Ma XH, Deng W, Li T. Morphological changes in gray matter volume correlate with catechol-O-methyl transferase gene Val158Met polymorphism in first-episode treatment-naïve patients with schizophrenia. Neurosci Bull 2015; 31:31-42. [PMID: 25564193 DOI: 10.1007/s12264-014-1491-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2014] [Accepted: 11/20/2014] [Indexed: 11/28/2022] Open
Abstract
The catechol-O-methyltransferase (COMT) gene is a schizophrenia susceptibility gene. A common functional polymorphism of this gene, Val158/158Met, has been proposed to influence gray matter volume (GMV). However, the effects of this polymorphism on cortical thickness/surface area in schizophrenic patients are less clear. In this study, we explored the relationship between the Val158Met polymorphism of the COMT gene and the GMV/cortical thickness/cortical surface area in 150 first-episode treatment-naïve patients with schizophrenia and 100 healthy controls. Main effects of diagnosis were found for GMV in the cerebellum and the visual, medial temporal, parietal, and middle frontal cortex. Patients with schizophrenia showed reduced GMVs in these regions. And main effects of genotype were detected for GMV in the left superior frontal gyrus. Moreover, a diagnosis × genotype interaction was found for the GMV of the left precuneus, and the effect of the COMT gene on GMV was due mainly to cortical thickness rather than cortical surface area. In addition, a pattern of increased GMV in the precuneus with increasing Met dose found in healthy controls was lost in patients with schizophrenia. These findings suggest that the COMTMet variant is associated with the disruption of dopaminergic influence on gray matter in schizophrenia, and the effect of the COMT gene on GMV in schizophrenia is mainly due to changes in cortical thickness rather than in cortical surface area.
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Affiliation(s)
- Ming-Li Li
- The Mental Health Center and the Psychiatric Laboratory, Sichuan University, Chengdu, 610041, China
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Accelerated longitudinal cortical thinning in adolescence. Neuroimage 2015; 104:138-45. [DOI: 10.1016/j.neuroimage.2014.10.005] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2014] [Revised: 09/26/2014] [Accepted: 10/02/2014] [Indexed: 01/26/2023] Open
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Magon S, Gaetano L, Chakravarty MM, Lerch JP, Naegelin Y, Stippich C, Kappos L, Radue EW, Sprenger T. White matter lesion filling improves the accuracy of cortical thickness measurements in multiple sclerosis patients: a longitudinal study. BMC Neurosci 2014; 15:106. [PMID: 25200127 PMCID: PMC4164794 DOI: 10.1186/1471-2202-15-106] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2014] [Accepted: 08/28/2014] [Indexed: 01/14/2023] Open
Abstract
Background Previous studies have demonstrated that white matter (WM) lesions bias automated brain tissue classifications and cerebral volume measurements. However, filling WM lesions using the intensity of neighbouring normal-appearing WM has been shown to increase the accuracy of automated volume measurements in the brain. In the present study, we investigate the influence of WM lesions on cortical thickness (CTh) measures and assessed the impact of lesion filling on both cross-sectional/longitudinal and global/regional measurements of CTh in multiple sclerosis (MS) patients. Methods Fifty MS patients were studied at baseline as well as after three and six years of follow-up. CTh was estimated using a fully automated pipeline (CIVET) on T1-weighted magnetic resonance images data acquired at 1.5 Tesla without (original) and with WM lesion filling (filled). WM lesions were semi-automatically segmented and then filled with the mean intensity of the neighbouring voxels. For both original and filled T1 images we investigated and compared the main CIVET’s steps: tissue classification, surfaces generation and CTh measurement. Results On the original T1 images, the majority of WM lesion volume (72%) was wrongly classified as gray matter (GM). After lesion filling the accuracy of WM lesions classification improved significantly (p < 0.001, 94% of WM lesion volume correctly classified) as well as the WM surface generation (p < 0.0001). The mean CTh computed on the original T1 images, overall time points, was significantly thinner (p < 0.001) compared the CTh estimated on the filled T1 images. The vertex-wise longitudinal analysis performed on the filled T1 images showed an increased number of vertices in the fronto-temporal region with a significantly decrease of CTh over time compared the analysis performed on the original images. Conclusion These results indicate that WM lesions bias the CTh estimation both cross-sectionally as well as longitudinally. The lesion filling approach significantly improved the accuracy of the regional CTh estimation and has an impact also on the global estimation of CTh.
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Affiliation(s)
- Stefano Magon
- Department of Neurology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.
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Juuhl-Langseth M, Holmén A, Thormodsen R, Oie M, Rund BR. Relative stability of neurocognitive deficits in early onset schizophrenia spectrum patients. Schizophr Res 2014; 156:241-7. [PMID: 24811433 DOI: 10.1016/j.schres.2014.04.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 04/02/2014] [Accepted: 04/12/2014] [Indexed: 02/04/2023]
Abstract
UNLABELLED In contrast to the findings of progressive structural brain changes in adolescence, longitudinal studies of patients with early onset schizophrenia spectrum disorders (EOS) indicate that neurocognitive deficits are relatively stable over the first years. The aim of this study is to assess neurocognitive functions longitudinally in patients with EOS compared to healthy controls (HC) using the MATRICS Cognitive Consensus Battery (MCCB). METHODS Twenty patients with EOS and 41 HC were tested with the MCCB at baseline (T1) and after one (T2) and two years (T3). The mean age for the EOS group was 15.6 (SD=1.8) years, while the mean duration of illness was 1.7 (SD=1.4) years at T1. RESULTS The EOS group's neurocognitive performances indicate a stable deficit on most measures. Both the EOS and HC groups showed improved neurocognitive functioning over time on all measures except for the verbal learning domain. There was an interaction between the EOS and HC groups' performance over time on the Trail Making Test A (TMA), a subtest on the processing speed domain. CONCLUSION The longitudinal neurocognitive performances measured by the MCCB confirm previous findings of stable deficits in patients with EOS. It is premature to conclude whether the increases in neurocognitive performance reflect developmental processes in adolescence or may be explained by learning effects, or both. As opposed to the other tests in this domain, a stagnation in processing speed as measured by the TMA suggests that the TMA is a particularly sensitive measure of neurodevelopmental deviance in EOS.
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Affiliation(s)
- Monica Juuhl-Langseth
- Child and Adolescent Mental Health Research Unit, Oslo University Hospital, Box 4959 Nydalen, N-0424 Oslo, Norway.
| | - Aina Holmén
- Department of Psychology, University of Oslo, Box 1094 Blindern, N-0317 Oslo, Norway; R&D Department, Mental Health Services, Akershus University Hospital, N-1478 Lorenskog, Norway.
| | | | - Merete Oie
- Department of Psychology, University of Oslo, Box 1094 Blindern, N-0317 Oslo, Norway; Division of Mental Health, Innlandet Hospital Trust, N-2629 Lillehammer, Norway.
| | - Bjørn Rishovd Rund
- Department of Psychology, University of Oslo, Box 1094 Blindern, N-0317 Oslo, Norway; Vestre Viken Hospital Trust, N-1309 Rud, Oslo, Norway.
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