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Liang Y, Shao R, Xia Y, Li Y, Guo S. Investigating amplitude of low-frequency fluctuation and possible links with cognitive impairment in childhood and adolescence onset schizophrenia: a correlation study. Front Psychiatry 2024; 15:1288955. [PMID: 38426007 PMCID: PMC10902053 DOI: 10.3389/fpsyt.2024.1288955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/22/2024] [Indexed: 03/02/2024] Open
Abstract
Background Cognitive impairment (CI) is a distinctive characteristic of schizophrenia, with evidence suggesting that childhood and adolescence onset schizophrenia (CAOS), representing severe but rare forms of schizophrenia, share continuity with adult-onset conditions. While relationships between altered brain function and CI have been identified in adults with schizophrenia, the extent of brain function abnormalities in CAOS remains largely unknown. In this study, we employed resting-state functional magnetic resonance imaging (rs-fMRI) to investigate functional alterations in brain areas among patients with CAOS. To assess CI across multiple cognitive domains, we utilized the Stroop Color and Word Tests (SCWT) and MATRICS Consensus Cognitive Battery (MCCB) tests. Our objective was to explore the associations between functional CI and the amplitude of low-frequency fluctuation (ALFF) levels in these patients. Methods We enrolled 50 patients diagnosed with CAOS and 33 healthy controls (HCs) matched for sex and age. Cognitive functions were assessed using the MCCB and SCWT methods. Rs-fMRI data were acquired using gradient-echo echo-planar imaging sequences. Voxel-based ALFF group maps were compared through two-sample t-tests in SPM8. Subsequently, correlation analyses were conducted to identify associations between ALFF levels and cognitive scores. Results In comparison to HCs, patients exhibited significantly increased ALFF levels in the right fusiform gyrus, frontal lobe, and caudate, as well as the left frontal lobe and caudate. Conversely, reduced ALFF levels were observed in the temporal and left medial frontal lobes. Significant differences were identified between HCs and patients in terms of total cognitive scores, ALFF levels, and domain scores. All test scores were decreased, except for TMA. Correlation analyses between ALFF levels and cognitive functions in patients with CAOS differed from those in HCs. Pearson correlation analyses revealed positive associations between Brief Visuospatial Memory Test - Revised (BVMT-R) scores and ALFF levels in the left medial frontal gyrus. Digital Span Test (DST) scores were negatively correlated with ALFF levels in the right caudate, and Maze Test values were negatively correlated with levels in the left caudate. However, Pearson correlation analyses in HCs indicated that color and Hopkins Verbal Learning Test (HVLT-R) scores positively correlated with ALFF levels in the left frontal lobe, while color-word and symbol coding scores negatively correlated with levels in the right caudate. Conclusions Altered ALFF levels in the brain may be linked to cognitive impairment (CI) in patients with CAOS. We highlighted the pathophysiology of schizophrenia and provide imaging evidence that could potentially aid in the diagnosis of CAOS.
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Affiliation(s)
| | | | | | | | - Suqin Guo
- Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
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2
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Duan J, Gong X, Womer FY, Sun K, Tang L, Liu J, Zheng J, Zhu Y, Tang Y, Zhang X, Wang F. Neurodevelopmental trajectories, polygenic risk, and lipometabolism in vulnerability and resilience to schizophrenia. BMC Psychiatry 2023; 23:153. [PMID: 36894907 PMCID: PMC9999573 DOI: 10.1186/s12888-023-04597-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/07/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Schizophrenia (SZ) arises from a complex interplay involving genetic and molecular factors. Early intervention of SZ hinges upon understanding its vulnerability and resiliency factors in study of SZ and genetic high risk for SZ (GHR). METHODS Herein, using integrative and multimodal strategies, we first performed a longitudinal study of neural function as measured by amplitude of low frequency function (ALFF) in 21 SZ, 26 GHR, and 39 healthy controls to characterize neurodevelopmental trajectories of SZ and GHR. Then, we examined the relationship between polygenic risk score for SZ (SZ-PRS), lipid metabolism, and ALFF in 78 SZ, and 75 GHR in cross-sectional design to understand its genetic and molecular substrates. RESULTS Across time, SZ and GHR diverge in ALFF alterations of the left medial orbital frontal cortex (MOF). At baseline, both SZ and GHR had increased left MOF ALFF compared to HC (P < 0.05). At follow-up, increased ALFF persisted in SZ, yet normalized in GHR. Further, membrane genes and lipid species for cell membranes predicted left MOF ALFF in SZ; whereas in GHR, fatty acids best predicted and were negatively correlated (r = -0.302, P < 0.05) with left MOF. CONCLUSIONS Our findings implicate divergence in ALFF alteration in left MOF between SZ and GHR with disease progression, reflecting vulnerability and resiliency to SZ. They also indicate different influences of membrane genes and lipid metabolism on left MOF ALFF in SZ and GHR, which have important implications for understanding mechanisms underlying vulnerability and resiliency in SZ and contribute to translational efforts for early intervention.
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Affiliation(s)
- Jia Duan
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China.,Department of Psychiatry and Gerontology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, PR China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Fay Y Womer
- Dept of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kaijin Sun
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China
| | - Lili Tang
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China.,Department of Psychiatry and Gerontology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, PR China
| | - Juan Liu
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China.,Department of Psychiatry and Gerontology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, PR China
| | - Junjie Zheng
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China
| | - Yue Zhu
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China.,Department of Psychiatry and Gerontology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, PR China
| | - Yanqing Tang
- Department of Psychiatry and Gerontology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, PR China.
| | - Xizhe Zhang
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China.
| | - Fei Wang
- Department of Psychiatry. Early Intervention Unit, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, PR China. .,Department of Psychiatry and Gerontology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, PR China.
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3
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Alkan E, Evans SL. Clustering of cognitive subtypes in schizophrenia patients and their siblings: relationship with regional brain volumes. NPJ SCHIZOPHRENIA 2022; 8:50. [PMID: 35853888 PMCID: PMC9261107 DOI: 10.1038/s41537-022-00242-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 02/23/2022] [Indexed: 11/09/2022]
Abstract
AbstractSchizophrenia patients (SZH) often show impaired cognition and reduced brain structural volumes; these deficits are also detectable in healthy relatives of SZH. However, there is considerable heterogeneity: a sizable percentage of SZH are relatively cognitively intact; clustering strategies have proved useful for categorising into cognitive subgroups. We used a clustering strategy to investigate relationships between subgroup assignment and brain volumes, in 102 SZH (N = 102) and 32 siblings of SZH (SZH-SIB), alongside 92 controls (CON) and 48 of their siblings. SZH had poorer performance in all cognitive domains, and smaller brain volumes within prefrontal and temporal regions compared to controls. We identified three distinct cognitive clusters (‘neuropsychologically normal’, ‘intermediate’, ‘cognitively impaired’) based on age- and gender-adjusted cognitive domain scores. The majority of SZH (60.8%) were assigned to the cognitively impaired cluster, while the majority of SZH-SIB (65.6%) were placed in the intermediate cluster. Greater right middle temporal volume distinguished the normal cluster from the more impaired clusters. Importantly, the observed brain volume differences between SZH and controls disappeared after adjustment for cluster assignment. This suggests an intimate link between cognitive performance levels and regional brain volume differences in SZH. This highlights the importance of accounting for heterogeneity in cognitive performance within SZH populations when attempting to characterise the brain structural abnormalities associated with the disease.
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Age-associated network controllability changes in first episode drug-naïve schizophrenia. BMC Psychiatry 2022; 22:26. [PMID: 35012507 PMCID: PMC8744281 DOI: 10.1186/s12888-021-03674-5] [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: 10/29/2021] [Accepted: 12/22/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Recent neuroimaging studies revealed dysregulated neurodevelopmental, or/and neurodegenerative trajectories of both structural and functional connections in schizophrenia. However, how the alterations in the brain's structural connectivity lead to dynamic function changes in schizophrenia with age remains poorly understood. METHODS Combining structural magnetic resonance imaging and a network control theory approach, the white matter network controllability metric (average controllability) was mapped from age 16 to 60 years in 175 drug-naïve schizophrenia patients and 155 matched healthy controls. RESULTS Compared with controls, the schizophrenia patients demonstrated the lack of age-related decrease on average controllability of default mode network (DMN), as well as the right precuneus (a hub region of DMN), suggesting abnormal maturational development process in schizophrenia. Interestingly, the schizophrenia patients demonstrated an accelerated age-related decline of average controllability in the subcortical network, supporting the neurodegenerative model. In addition, compared with controls, the lack of age-related increase on average controllability of the left inferior parietal gyrus in schizophrenia patients also suggested a different pathway of brain development. CONCLUSIONS By applying the control theory approach, the present study revealed age-related changes in the ability of white matter pathways to control functional activity states in schizophrenia. The findings supported both the developmental and degenerative hypotheses of schizophrenia, and suggested a particularly high vulnerability of the DMN and subcortical network possibly reflecting an illness-related early marker for the disorder.
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5
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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: 0.3] [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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6
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Chang X, Mandl RCW, Pasternak O, Brouwer RM, Cahn W, Collin G. Diffusion MRI derived free-water imaging measures in patients with schizophrenia and their non-psychotic siblings. Prog Neuropsychopharmacol Biol Psychiatry 2021; 109:110238. [PMID: 33400942 DOI: 10.1016/j.pnpbp.2020.110238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 12/16/2020] [Accepted: 12/30/2020] [Indexed: 10/22/2022]
Abstract
Free-water imaging is a diffusion MRI technique that separately models water diffusion hindered by fiber tissue and water that disperses freely in the extracellular space. Studies using this technique have shown that schizophrenia is characterized by a lower level of fractional anisotropy of the tissue compartment (FAt) and higher free-water fractional volume (FW). It is unknown, however, whether such abnormalities are an expression of pre-existing (genetic) risk for schizophrenia or a manifestation of the illness. To investigate the contribution of familial risk factors to white matter abnormalities, we used the free-water imaging technique to assess FAt and FW in a large cohort of 471 participants including 161 patients with schizophrenia, 182 non-psychotic siblings, and 128 healthy controls. In this sample, patients did not show significant differences in FAt as compared to controls, but did exhibit a higher level of FW relative to both controls and siblings in the left uncinate fasciculus, superior corona radiata and fornix / stria terminalis. This increase in FW was found to be related to, though not solely explained by, ventricular enlargement. Siblings did not show significant FW abnormalities. However, siblings did show a higher level of FAt as compared to controls and patients, in line with results of a previous study on the same data using conventional DTI. Taken together, our findings suggest that extracellular free-water accumulation in patients is likely a manifestation of established disease rather than an expression of familial risk for schizophrenia and that super-normal levels of FAt in unaffected siblings may reflect a compensatory process.
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Affiliation(s)
- Xiao Chang
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands; Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
| | - René C W Mandl
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands
| | - Ofer Pasternak
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands; Altrecht Institute of Mental Health Care, Utrecht, the Netherlands
| | - Guusje Collin
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands; Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Boston, USA
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7
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Sugranyes G, de la Serna E, Ilzarbe D, Pariente JC, Borras R, Romero S, Rosa M, Baeza I, Moreno MD, Bernardo M, Vieta E, Castro-Fornieles J. Brain structural trajectories in youth at familial risk for schizophrenia or bipolar disorder according to development of psychosis spectrum symptoms. J Child Psychol Psychiatry 2021; 62:780-789. [PMID: 32951255 DOI: 10.1111/jcpp.13321] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 06/30/2020] [Accepted: 07/24/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND The evaluation of child and adolescent offspring of patients with schizophrenia (SzO) or bipolar disorder (BpO) may help understand changes taking place in the brain in individuals at heightened risk for disease during a key developmental period. METHODS One hundred twenty-eight individuals (33 SzO and 46 BpO, considered jointly as 'Familial High Risk' (FHR), and 49 controls) aged 6-17 years underwent clinical, cognitive and neuroimaging assessment at baseline, 2- and 4-year follow-up. Twenty FHR participants (11 SzO and 9 BpO) developed psychotic spectrum symptoms during follow-up, while 59 FHR participants did not. Magnetic resonance imaging was performed on a 3Tesla scanner; cortical surface reconstruction was applied to measure cortical thickness, surface area and grey matter volume. RESULTS FHR participants who developed psychotic spectrum symptoms over time showed greater time-related mean cortical thinning than those who did not and than controls. By subgroups, this effect was present in both BpO and SzO in the occipital cortex. At baseline, FHR participants who developed psychotic spectrum symptoms over time had smaller total surface area and grey matter volume than those who did not and than controls. Over time, all FHR participants showed less longitudinal decrease in surface area than controls. In those who developed psychotic spectrum symptoms over time, this effect was driven by BpO, while in those who did not, this was due to SzO, who also showed less grey matter volume reduction. CONCLUSION The emergence of psychotic spectrum symptoms in FHR was indexed by smaller cross-sectional surface area and progressive cortical thinning. Relative preservation of surface area over time may signal different processes according to familial risk. These findings lay the foundation for future studies aimed at stratification of FHR youth.
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Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain
| | - Elena de la Serna
- Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain
| | - Daniel Ilzarbe
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain
| | | | - Roger Borras
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Soledad Romero
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain
| | - Mireia Rosa
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain
| | - Maria Dolores Moreno
- Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Miguel Bernardo
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain.,Department of Psychiatry and Clinical Psychology Institute of Neuroscience, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Eduard Vieta
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain.,Department of Psychiatry and Clinical Psychology Institute of Neuroscience, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Josefina Castro-Fornieles
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.,Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Barcelona, Spain.,Biomedical Research Networking Center Consortium (CIBERSAM), Madrid, Spain.,Department of Psychiatry and Clinical Psychology, University of Barcelona, Barcelona, Spain
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8
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Merritt K, Luque Laguna P, Irfan A, David AS. Longitudinal Structural MRI Findings in Individuals at Genetic and Clinical High Risk for Psychosis: A Systematic Review. Front Psychiatry 2021; 12:620401. [PMID: 33603688 PMCID: PMC7884337 DOI: 10.3389/fpsyt.2021.620401] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 01/08/2021] [Indexed: 01/18/2023] Open
Abstract
Background: Several cross-sectional studies report brain structure differences between healthy volunteers and subjects at genetic or clinical high risk of developing schizophrenia. However, longitudinal studies are important to determine whether altered trajectories of brain development precede psychosis onset. Methods: We conducted a systematic review to determine if brain trajectories differ between (i) those with psychotic experiences (PE), genetic (GHR) or clinical high risk (CHR), compared to healthy volunteers, and (ii) those who transition to psychosis compared to those who do not. Results: Thirty-eight studies measured gray matter and 18 studies measured white matter in 2,473 high risk subjects and 990 healthy volunteers. GHR, CHR, and PE subjects show an accelerated decline in gray matter primarily in temporal, and also frontal, cingulate and parietal cortex. In those who remain symptomatic or transition to psychosis, gray matter loss is more pronounced in these brain regions. White matter volume and fractional anisotropy, which typically increase until early adulthood, did not change or reduced in high risk subjects in the cingulum, thalamic radiation, cerebellum, retrolenticular part of internal capsule, and hippocampal-thalamic tracts. In those who transitioned, white matter volume and fractional anisotropy reduced over time in the inferior and superior fronto-occipital fasciculus, corpus callosum, anterior limb of the internal capsule, superior corona radiate, and calcarine cortex. Conclusion: High risk subjects show deficits in white matter maturation and an accelerated decline in gray matter. Gray matter loss is more pronounced in those who transition to psychosis, but may normalize by early adulthood in remitters.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, Institute of Mental Health, University College London, London, United Kingdom
| | - Pedro Luque Laguna
- The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom
| | - Ayela Irfan
- Division of Psychiatry, Institute of Mental Health, University College London, London, United Kingdom
| | - Anthony S David
- Division of Psychiatry, Institute of Mental Health, University College London, London, United Kingdom
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9
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Anteraper SA, Collin G, Guell X, Scheinert T, Molokotos E, Henriksen MT, Mesholam-Gately R, Thermenos HW, Seidman LJ, Keshavan MS, Gabrieli JDE, Whitfield-Gabrieli S. Altered resting-state functional connectivity in young children at familial high risk for psychotic illness: A preliminary study. Schizophr Res 2020; 216:496-503. [PMID: 31801673 PMCID: PMC7239744 DOI: 10.1016/j.schres.2019.09.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 09/09/2019] [Accepted: 09/12/2019] [Indexed: 01/05/2023]
Abstract
Multiple lines of evidence suggest that illness development in schizophrenia and other psychotic disorders predates the first psychotic episode by many years. In this study, we examined a sample of 15 pre-adolescent children, ages 7 through 12 years, who are at familial high-risk (FHR) because they have a parent or sibling with a history of schizophrenia or related psychotic disorder. Using multi-voxel pattern analysis (MVPA), a data-driven fMRI analysis, we assessed whole-brain differences in functional connectivity in the FHR sample as compared to an age- and sex-matched control (CON) group of 15 children without a family history of psychosis. MVPA analysis yielded a single cluster in right posterior superior temporal gyrus (pSTG/BA 22) showing significant group-differences in functional connectivity. Post-hoc characterization of this cluster through seed-to-voxel analysis revealed mostly reduced functional connectivity of the pSTG seed to a set of language and default mode network (DMN) associated brain regions including Heschl's gyrus, inferior temporal gyrus extending into fusiform gyrus, (para)hippocampus, thalamus, and a cerebellar cluster encompassing mainly Crus I/II. A height-threshold of whole-brain p < .001 (two-sided), and FDR-corrected cluster-threshold of p < .05 (non-parametric statistics) was used for post-hoc characterization. These findings suggest that abnormalities in functional communication in a network encompassing right STG and associated brain regions are present before adolescence in at-risk children and may be a risk marker for psychosis. Subsequent changes in this functional network across development may contribute to either disease manifestation or resilience in children with a familial vulnerability for psychosis.
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Affiliation(s)
- Sheeba Arnold Anteraper
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Psychology, Northeastern University, Boston, MA, USA; Alan and Lorraine Bressler Clinical and Research Program for Autism Spectrum Disorder, Massachusetts General Hospital, Boston, MA, USA.
| | - Guusje Collin
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA,Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Corresponding author
| | - Xavier Guell
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Timothy Scheinert
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elena Molokotos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Maria Toft Henriksen
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Raquelle Mesholam-Gately
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Heidi W. Thermenos
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Larry J Seidman
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - John D. E. Gabrieli
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Susan Whitfield-Gabrieli
- McGovern Institute for Brain Research, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA,Department of Psychology, Northeastern University, Boston, MA, USA
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10
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Abstract
The genetic architecture of schizophrenia is complex and highly polygenic. This article discusses key findings from genetic studies of childhood-onset schizophrenia (COS) and the more common adult-onset schizophrenia (AOS), including studies of familial aggregation and common, rare, and copy number variants. Extant literature suggests that COS is a rare variant of AOS involving greater familial aggregation of schizophrenia spectrum disorders and a potentially higher occurrence of pathogenic copy number variants. The direct utility of genetics to clinical practice for COS is currently limited; however, identifying common pathways through which risk genes affect brain function offers promise for novel interventions.
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Affiliation(s)
- Jennifer K Forsyth
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, USA.
| | - Robert F Asarnow
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90095, USA; Department of Psychology, University of California, Los Angeles, 502 Portola Plaza Los Angeles, CA 90095, USA; Brain Research Institute, University of California, Los Angeles, 695 Charles E Young Dr S, Los Angeles, CA 90095, USA.
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11
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Liang Y, Shao R, Zhang Z, Li X, Zhou L, Guo S. Amplitude of low-frequency fluctuations in childhood-onset schizophrenia with or without obsessive-compulsive symptoms: a resting-state functional magnetic resonance imaging study. Arch Med Sci 2019; 15:126-133. [PMID: 30697262 PMCID: PMC6348357 DOI: 10.5114/aoms.2018.73422] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 01/14/2018] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Childhood-onset schizophrenia with obsessive-compulsive symptoms (COSO) and without obsessive-compulsive symptoms (COS) share considerable overlap in clinical features and genetic risk factors. However, the extent of brain functional abnormalities in COSO and COS is poorly understood. MATERIAL AND METHODS A total of 51 first-episode childhood schizophrenic patients and 30 healthy age- and sex-matched controls were recruited. We used the Yale-Brown Obsessive Compulsive Scale to divide patients into COSO (n = 21) and COS (n = 30) groups. Resting-state functional magnetic resonance imaging images were obtained using a gradient-echo echo-planar imaging sequence. Voxel-based analysis of amplitude of low-frequency fluctuation (ALFF) maps between the two groups was performed. RESULTS The COS group showed significantly increased ALFF in the right caudate body, middle temporal gyrus and inferior parietal lobule (p < 0.05), while showing decreased ALFF in the left cerebellum posterior lobe (p < 0.05). The COSO group showed significantly increased ALFF in the left and right frontal lobe, cerebellum posterior lobe and precuneus (p < 0.05). When comparing the two groups, COSO showed significantly higher ALFF in the left cerebellum posterior lobe, frontal lobe, supramarginal gyrus, precuneus, right inferior frontal gyrus and medial frontal gyrus (p < 0.05). Interestingly, significantly lower ALFF was found in the right fusiform gyrus, corpus callosum and inferior parietal lobule in the group of patients with obsessive-compulsive symptoms (p < 0.05). CONCLUSIONS Our findings increase the understanding of the pathophysiology of schizophrenia and may provide imaging evidence for early diagnosis of COSO or COS.
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Affiliation(s)
- Yinghui Liang
- Department of Psychiatry, The Second Affiliated Hospital Of Xinxiang Medical University, Henan Mental Hospital, Xinxiang, Henan, China
| | - Rongrong Shao
- Department of Psychiatry, The Second Affiliated Hospital Of Xinxiang Medical University, Henan Mental Hospital, Xinxiang, Henan, China
| | - Zhiying Zhang
- Department of Psychiatry, The Second Affiliated Hospital Of Xinxiang Medical University, Henan Mental Hospital, Xinxiang, Henan, China
| | - Xinmin Li
- Department of Ophtalmology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Longhao Zhou
- Department of Pediatrics, Kaifeng Children’s Hospital, Kaifeng, Henan, China
| | - Suqin Guo
- Department of Psychiatry, The Second Affiliated Hospital Of Xinxiang Medical University, Henan Mental Hospital, Xinxiang, Henan, China
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12
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Hoffmann A, Ziller M, Spengler D. Childhood-Onset Schizophrenia: Insights from Induced Pluripotent Stem Cells. Int J Mol Sci 2018; 19:E3829. [PMID: 30513688 PMCID: PMC6321410 DOI: 10.3390/ijms19123829] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2018] [Revised: 11/21/2018] [Accepted: 11/27/2018] [Indexed: 01/25/2023] Open
Abstract
Childhood-onset schizophrenia (COS) is a rare psychiatric disorder characterized by earlier onset, more severe course, and poorer outcome relative to adult-onset schizophrenia (AOS). Even though, clinical, neuroimaging, and genetic studies support that COS is continuous to AOS. Early neurodevelopmental deviations in COS are thought to be significantly mediated through poorly understood genetic risk factors that may also predispose to long-term outcome. In this review, we discuss findings from induced pluripotent stem cells (iPSCs) that allow the generation of disease-relevant cell types from early brain development. Because iPSCs capture each donor's genotype, case/control studies can uncover molecular and cellular underpinnings of COS. Indeed, recent studies identified alterations in neural progenitor and neuronal cell function, comprising dendrites, synapses, electrical activity, glutamate signaling, and miRNA expression. Interestingly, transcriptional signatures of iPSC-derived cells from patients with COS showed concordance with postmortem brain samples from SCZ, indicating that changes in vitro may recapitulate changes from the diseased brain. Considering this progress, we discuss also current caveats from the field of iPSC-based disease modeling and how to proceed from basic studies to improved diagnosis and treatment of COS.
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Affiliation(s)
- Anke Hoffmann
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Michael Ziller
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
| | - Dietmar Spengler
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
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13
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Eryilmaz H, Dowling KF, Huntington FC, Rodriguez-Thompson A, Soare TW, Beard LM, Lee H, Blossom JC, Gollub RL, Susser E, Gur RC, Calkins ME, Gur RE, Satterthwaite TD, Roffman JL. Association of Prenatal Exposure to Population-Wide Folic Acid Fortification With Altered Cerebral Cortex Maturation in Youths. JAMA Psychiatry 2018; 75:918-928. [PMID: 29971329 PMCID: PMC6142921 DOI: 10.1001/jamapsychiatry.2018.1381] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
IMPORTANCE Presently, 81 countries mandate the fortification of grain products with folic acid to lessen the risk of neural tube defects in the developing fetus. Epidemiologic data on severe mental illness suggest potentially broader effects of prenatal folate exposure on postnatal brain development, but this link remains unsubstantiated by biological evidence. OBJECTIVE To evaluate associations among fetal folic acid exposure, cortical maturation, and psychiatric risk in youths. DESIGN, SETTING, AND PARTICIPANTS A retrospective, observational clinical cohort study was conducted at Massachusetts General Hospital (MGH) among 292 youths 8 to 18 years of age born between January 1993 and December 2001 (inclusive of folic acid fortification rollout ±3.5 years) with normative results of clinical magnetic resonance imaging, divided into 3 age-matched groups based on birthdate and related level of prenatal folic acid fortification exposure (none, partial, or full). Magnetic resonance imaging was performed between January 2005 and March 2015. Two independent, observational, community-based cohorts (Philadelphia Neurodevelopmental Cohort [PNC] and National Institutes of Health Magnetic Resonance Imaging Study of Normal Brain Development [NIH]) comprising 1078 youths 8 to 18 years of age born throughout (PNC, 1992-2003) or before (NIH, 1983-1995) the rollout of folic acid fortification were studied for replication, clinical extension, and specificity. Statistical analysis was conducted from 2015 to 2018. EXPOSURES United States-mandated grain product fortification with folic acid, introduced in late 1996 and fully in effect by mid-1997. MAIN OUTCOMES AND MEASURES Differences in cortical thickness among nonexposed, partially exposed, and fully exposed youths (MGH) and underlying associations between age and cortical thickness (all cohorts). Analysis of the PNC cohort also examined the association of age-cortical thickness slopes with the odds of psychotic symptoms. RESULTS The MGH cohort (139 girls and 153 boys; mean [SD] age, 13.3 [2.3] years) demonstrated exposure-associated cortical thickness increases in bilateral frontal and temporal regions (9.9% to 11.6%; corrected P < .001 to P = .03) and emergence of quadratic (delayed) age-associated thinning in temporal and parietal regions (β = -11.1 to -13.9; corrected P = .002). The contemporaneous PNC cohort (417 girls and 444 boys; mean [SD] age, 13.5 [2.7] years) also exhibited exposure-associated delays of cortical thinning (β = -1.59 to -1.73; corrected P < .001 to P = .02), located in similar regions and with similar durations of delay as in the MGH cohort. Flatter thinning profiles in frontal, temporal, and parietal regions were associated with lower odds of psychosis spectrum symptoms in the PNC cohort (odds ratio, 0.37-0.59; corrected P < .05). All identified regions displayed earlier thinning in the nonexposed NIH cohort (118 girls and 99 boys; mean [SD] age, 13.3 [2.6] years). CONCLUSIONS AND RELEVANCE The results of this study suggest an association between gestational exposure to fortification of grain products with folic acid and altered cortical development and, in turn, with reduction in the risk of psychosis in youths.
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Affiliation(s)
- Hamdi Eryilmaz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Kevin F. Dowling
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Franklin C. Huntington
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown
| | | | - Thomas W. Soare
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Lauren M. Beard
- Penn–Children’s Hospital of Philadelphia Lifespan Brain Institute, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Hang Lee
- Massachusetts General Hospital Biostatistics Center, Harvard Medical School, Boston
| | - Jeffrey C. Blossom
- Center for Geographic Analysis, Harvard University, Cambridge, Massachusetts
| | - Randy L. Gollub
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown
| | - Ezra Susser
- Department of Epidemiology, Columbia University, New York, New York,Department of Psychiatry, Columbia University, New York, New York,New York State Psychiatric Institute, New York, New York
| | - Ruben C. Gur
- Penn–Children’s Hospital of Philadelphia Lifespan Brain Institute, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Monica E. Calkins
- Penn–Children’s Hospital of Philadelphia Lifespan Brain Institute, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Raquel E. Gur
- Penn–Children’s Hospital of Philadelphia Lifespan Brain Institute, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Theodore D. Satterthwaite
- Penn–Children’s Hospital of Philadelphia Lifespan Brain Institute, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Joshua L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown
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14
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Abstract
SUMMARYThis review of available longitudinal structural imaging and immunological findings in first-onset schizophrenia, bipolar disorder, attention-deficit hyperactivity disorder (ADHD) and autism suggests that different patterns of synaptic pruning lead to various phenotypes. Proposals for future research strategies to try to replicate these findings are suggested, potential biomarkers to assist in diagnosis and determining the optimum duration of maintenance treatment are considered and ideas of potential immunotherapy augmentation are outlined.LEARNING OBJECTIVES•Understand the immunological basis of synaptic pruning•Comprehend the available research on longitudinal brain imaging•Be aware of future immunological therapeutic strategies in psychosis, ADHD and autismDECLARATION OF INTERESTNone.
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15
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Interactome analysis reveals ZNF804A, a schizophrenia risk gene, as a novel component of protein translational machinery critical for embryonic neurodevelopment. Mol Psychiatry 2018; 23:952-962. [PMID: 28924186 PMCID: PMC5868632 DOI: 10.1038/mp.2017.166] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 06/08/2017] [Accepted: 06/12/2017] [Indexed: 12/15/2022]
Abstract
Recent genome-wide association studies identified over 100 genetic loci that significantly associate with schizophrenia (SZ). A top candidate gene, ZNF804A, was robustly replicated in different populations. However, its neural functions are largely unknown. Here we show in mouse that ZFP804A, the homolog of ZNF804A, is required for normal progenitor proliferation and neuronal migration. Using a yeast two-hybrid genome-wide screen, we identified novel interacting proteins of ZNF804A. Rather than transcriptional factors, genes involved in mRNA translation are highly represented in our interactome result. ZNF804A co-fractionates with translational machinery and modulates the translational efficiency as well as the mTOR pathway. The ribosomal protein RPSA interacts with ZNF804A and rescues the migration and translational defects caused by ZNF804A knockdown. RNA immunoprecipitation-RNAseq (RIP-Seq) identified transcripts bound to ZFP804A. Consistently, ZFP804A associates with many short transcripts involved in translational and mitochondrial regulation. Moreover, among the transcripts associated with ZFP804A, a SZ risk gene, neurogranin (NRGN), is one of ZFP804A targets. Interestingly, downregulation of ZFP804A decreases NRGN expression and overexpression of NRGN can ameliorate ZFP804A-mediated migration defect. To verify the downstream targets of ZNF804A, a Duolink in situ interaction assay confirmed genes from our RIP-Seq data as the ZNF804A targets. Thus, our work uncovered a novel mechanistic link of a SZ risk gene to neurodevelopment and translational control. The interactome-driven approach here is an effective way for translating genome-wide association findings into novel biological insights of human diseases.
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16
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Deng D, Jian C, Lei L, Zhou Y, McSweeney C, Dong F, Shen Y, Zou D, Wang Y, Wu Y, Zhang L, Mao Y. A prenatal interruption of DISC1 function in the brain exhibits a lasting impact on adult behaviors, brain metabolism, and interneuron development. Oncotarget 2017; 8:84798-84817. [PMID: 29156684 PMCID: PMC5689574 DOI: 10.18632/oncotarget.21381] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Accepted: 09/03/2017] [Indexed: 02/03/2023] Open
Abstract
Mental illnesses like schizophrenia (SCZ) and major depression disorder (MDD) are devastating brain disorders. The SCZ risk gene, disrupted in schizophrenia 1 (DISC1), has been associated with neuropsychiatric conditions. However, little is known regarding the long-lasting impacts on brain metabolism and behavioral outcomes from genetic insults on fetal NPCs during early life. We have established a new mouse model that specifically interrupts DISC1 functions in NPCs in vivo by a dominant-negative DISC1 (DN-DISC1) with a precise temporal and spatial regulation. Interestingly, prenatal interruption of mouse Disc1 function in NPCs leads to abnormal depression-like deficit in adult mice. Here we took a novel unbiased metabonomics approach to identify brain-specific metabolites that are significantly changed in DN-DISC1 mice. Surprisingly, the inhibitory neurotransmitter, GABA, is augmented. Consistently, parvalbumin (PV) interneurons are increased in the cingulate cortex, retrosplenial granular cortex, and motor cortex. Interestingly, somatostatin (SST) positive and neuropeptide Y (NPY) interneurons are decreased in some brain regions, suggesting that DN-DISC1 expression affects the localization of interneuron subtypes. To further explore the cellular mechanisms that cause this change, DN-DISC1 suppresses proliferation and promotes the cell cycle exit of progenitors in the medial ganglionic eminence (MGE), whereas it stimulates ectopic proliferation of neighboring cells through cell non-autonomous effect. Mechanistically, it modulates GSK3 activity and interrupts Dlx2 activity in the Wnt activation. In sum, our results provide evidence that specific genetic insults on NSCs at a short period of time could lead to prolonged changes of brain metabolism and development, eventually behavioral defects.
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Affiliation(s)
- Dazhi Deng
- Department of Emergency, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.,Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Chongdong Jian
- Department of Biology, Pennsylvania State University, University Park, PA, USA.,Department of Neurology, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Ling Lei
- Department of Biology, Pennsylvania State University, University Park, PA, USA.,Health Examination Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China
| | - Yijing Zhou
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Colleen McSweeney
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Fengping Dong
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Yilun Shen
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Donghua Zou
- Department of Neurology, The First People's Hospital of Nanning, Nanning, Guangxi, China
| | - Yonggang Wang
- Department of Neurology, School of Medicine, Renji Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Yuan Wu
- Department of Neurology, First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, China
| | - Limin Zhang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
| | - Yingwei Mao
- Department of Biology, Pennsylvania State University, University Park, PA, USA
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17
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Progressive cortical reorganisation: A framework for investigating structural changes in schizophrenia. Neurosci Biobehav Rev 2017; 79:1-13. [DOI: 10.1016/j.neubiorev.2017.04.028] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 04/26/2017] [Accepted: 04/26/2017] [Indexed: 12/27/2022]
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18
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Sugranyes G, Solé-Padullés C, de la Serna E, Borras R, Romero S, Sanchez-Gistau V, Garcia-Rizo C, Goikolea JM, Bargallo N, Moreno D, Baeza I, Castro-Fornieles J. Cortical Morphology Characteristics of Young Offspring of Patients With Schizophrenia or Bipolar Disorder. J Am Acad Child Adolesc Psychiatry 2017; 56:79-88. [PMID: 27993232 DOI: 10.1016/j.jaac.2016.09.516] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Revised: 09/12/2016] [Accepted: 10/19/2016] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Cortical surface area and thickness abnormalities have been observed in patients with schizophrenia and bipolar disorders; however, no study thus far has examined cortical morphologic measurements in children and adolescents at genetic risk for the disorders comparatively. METHOD One hundred thirty-seven participants, including 36 offspring of patients with schizophrenia (SzO), 54 offspring of patients with bipolar disorder (BpO), and 47 offspring of community controls (CcO), 6 to 17 years old, were assessed with clinical and neuroimaging methods. Sixty-nine percent of the sample was reassessed at a 27.6-month (mean) follow-up. Cortical surface reconstruction was applied to measure cortical area and thickness using FreeSurfer; mixed-effects models were used to investigate cross-sectional and longitudinal differences in global and lobar morphologic measurements. RESULTS The SzO group exhibited a cross-sectional decrease in global, parietal, and occipital lobe surface area compared with the CcO group, and in the occipital lobe compared with the BpO group. In the SzO group, global and parietal surface area values were inversely associated with attenuated positive and negative prodromal symptom scores. No cross-sectional differences in cortical thickness were observed. Division of the sample by pubertal status showed group-by-time interactions in the pubertal and postpubertal SzO subgroup, with less longitudinal decrease in cortical surface area and thickness than in the CcO and BpO subgroups, respectively. CONCLUSION The SzO, but not the BpO, group was characterized by cross-sectional decreases in surface area, and this was associated with prodromal symptoms. Longitudinal changes in cortical morphology associated with risk for schizophrenia may be expressed differently according to developmental stage.
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Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium.
| | | | - Elena de la Serna
- Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Roger Borras
- August Pi i Sunyer Biomedical Research Institute, Barcelona
| | - Soledad Romero
- Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Vanessa Sanchez-Gistau
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Clemente Garcia-Rizo
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Jose Manuel Goikolea
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Nuria Bargallo
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Biomedical Research Networking Center Consortium; Image Diagnosis Center, Hospital Clínic, Barcelona
| | - Dolores Moreno
- Biomedical Research Networking Center Consortium; Hospital General Universitario Gregorio Marañón and School of Medicine, Universidad Complutense, Madrid
| | - Inmaculada Baeza
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium
| | - Josefina Castro-Fornieles
- August Pi i Sunyer Biomedical Research Institute, Barcelona; Institute of Neuroscience, Hospital Clínic, Barcelona; Biomedical Research Networking Center Consortium; University of Barcelona
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19
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Liberg B, Rahm C, Panayiotou A, Pantelis C. Brain change trajectories that differentiate the major psychoses. Eur J Clin Invest 2016; 46:658-74. [PMID: 27208657 DOI: 10.1111/eci.12641] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 05/18/2016] [Indexed: 12/17/2022]
Abstract
BACKGROUND Bipolar disorder and schizophrenia are highly heritable, often chronic and debilitating psychotic disorders that can be difficult to differentiate clinically. Their brain phenotypes appear to overlap in both cross-sectional and longitudinal structural neuroimaging studies, with some evidence to suggest areas of differentiation with differing trajectories. The aim of this review was to investigate the notion that longitudinal trajectories of alterations in brain structure could differentiate the two disorders. DESIGN Narrative review. We searched MEDLINE and Web of Science databases in May 2016 for studies that used structural magnetic resonance imaging to investigate longitudinal between-group differences in bipolar disorder and schizophrenia. Ten studies met inclusion criteria, namely longitudinal structural magnetic resonance studies comparing bipolar disorder (or affective psychosis) and schizophrenia within the same study. RESULTS Our review of these studies implicates illness-specific trajectories of morphological change in total grey matter volume, and in regions of the frontal, temporal and cingulate cortices. The findings in schizophrenia suggest a trajectory involving progressive grey matter loss confined to fronto-temporal cortical regions. Preliminary findings identify a similar but less severely impacted trajectory in a number of regions in bipolar disorder, however, bipolar disorder is also characterized by differential involvement across cingulate subregions. CONCLUSION The small number of available studies must be interpreted with caution but provide initial evidence supporting the notion that bipolar disorder and schizophrenia have differential longitudinal trajectories that are influenced by brain maturation.
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Affiliation(s)
- Benny Liberg
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Vic., Australia.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Christoffer Rahm
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Vic., Australia.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Anita Panayiotou
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Vic., Australia.,Western Centre for Health Research & Education, Sunshine Hospital, University of Melbourne, St Albans, Vic., Australia.,Sunshine Hospital, Western Health, St Albans, Vic., Australia
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Carlton South, Vic., Australia.,Western Centre for Health Research & Education, Sunshine Hospital, University of Melbourne, St Albans, Vic., Australia.,Florey Institute for Neuroscience and Mental Health, Parkville, Vic., Australia.,Department of Electrical and Electronic Engineering, Centre for Neural Engineering, University of Melbourne, Parkville, Vic., Australia
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20
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Fraguas D, Díaz-Caneja CM, Pina-Camacho L, Janssen J, Arango C. Progressive brain changes in children and adolescents with early-onset psychosis: A meta-analysis of longitudinal MRI studies. Schizophr Res 2016; 173:132-139. [PMID: 25556081 DOI: 10.1016/j.schres.2014.12.022] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 12/11/2014] [Accepted: 12/15/2014] [Indexed: 11/26/2022]
Abstract
BACKGROUND Studies on longitudinal brain volume changes in patients with early-onset psychosis (EOP) are particularly valuable for understanding the neurobiological basis of brain abnormalities associated with psychosis. However, findings have not been consistent across studies in this population. We aimed to conduct a meta-analysis on progressive brain volume changes in children and adolescents with EOP. METHODS A systematic literature search of magnetic resonance imaging (MRI) studies comparing longitudinal brain volume changes in children and adolescents with EOP and healthy controls was conducted. The annualized rates of relative change in brain volume by region of interest (ROI) were used as raw data for the meta-analysis. The effect of age, sex, duration of illness, and specific diagnosis on volume change was also evaluated. RESULTS Five original studies with 156 EOP patients (mean age at baseline MRI in the five studies ranged from 13.3 to 16.6years, 67.31% males) and 163 age- and sex-matched healthy controls, with a mean duration of follow-up of 2.46years (range 2.02-3.40), were included. Frontal gray matter (GM) was the only region in which significant differences in volume change over time were found between patients and controls (Hedges' g -0.435, 95% confidence interval (CI): -0.678 to -0.193, p<0.001). Younger age at baseline MRI was associated with greater loss of temporal GM volume over time in patients as compared with controls (p=0.005). Within patients, a diagnosis of schizophrenia was related to greater occipital GM volume loss over time (p=0.001). CONCLUSIONS Compared with healthy individuals, EOP patients show greater progressive frontal GM loss over the first few years after illness onset. Age at baseline MRI and diagnosis of schizophrenia appear to be significant moderators of particular specific brain volume changes.
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Affiliation(s)
- David Fraguas
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Covadonga M Díaz-Caneja
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Laura Pina-Camacho
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain; Department of Child and Adolescent Psychiatry, Institute of Psychiatry, King's College London, London, UK
| | - Joost Janssen
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain; Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, The Netherlands
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, CIBERSAM, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain.
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21
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Neuroimaging findings from childhood onset schizophrenia patients and their non-psychotic siblings. Schizophr Res 2016; 173:124-131. [PMID: 25819937 PMCID: PMC4583796 DOI: 10.1016/j.schres.2015.03.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 02/26/2015] [Accepted: 03/02/2015] [Indexed: 12/14/2022]
Abstract
Childhood onset schizophrenia (COS), with onset of psychosis before age 13, is a rare form of schizophrenia that represents a more severe and chronic form of the adult onset illness. In this review we examine structural and functional magnetic resonance imaging (MRI) studies of COS and non-psychotic siblings of COS patients in the context of studies of schizophrenia as a whole. Studies of COS to date reveal progressive loss of gray matter volume and cortical thinning, ventricular enlargement, progressive decline in cerebellar volume and a significant but fixed deficit in hippocampal volume. COS is also associated with a slower rate of white matter growth and disrupted local connectivity strength. Sibling studies indicate that non-psychotic siblings of COS patients share many of these brain abnormalities, including decreased cortical thickness and disrupted white matter growth, yet these abnormalities normalize with age. Cross-sectional and longitudinal neuroimaging studies remain some of the few methods for assessing human brain function and play a pivotal role in the quest for understanding the neurobiology of schizophrenia as well as other psychiatric disorders. Parallel studies in non-psychotic siblings provide a unique opportunity to understand both risk and resilience in schizophrenia.
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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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Watsky RE, Pollard KL, Greenstein D, Shora L, Dillard-Broadnax D, Gochman P, Clasen LS, Berman RA, Rapoport JL, Gogtay N, Ordóñez AE. Severity of Cortical Thinning Correlates With Schizophrenia Spectrum Symptoms. J Am Acad Child Adolesc Psychiatry 2016; 55:130-136. [PMID: 26802780 PMCID: PMC4724380 DOI: 10.1016/j.jaac.2015.11.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 11/06/2015] [Accepted: 11/18/2015] [Indexed: 11/16/2022]
Abstract
OBJECTIVE This study investigated the relationship between regional cortical gray matter thinning and symptoms of schizophrenia spectrum personality disorders (PDs) in siblings of patients with childhood-onset schizophrenia (COS). METHOD A total of 66 siblings of patients with COS were assessed for symptoms of schizophrenia spectrum PDs (avoidant, paranoid, schizoid, schizotypal). Structural magnetic resonance images were obtained at approximately 2-year intervals from the siblings and from 62 healthy volunteers matched for age, sex, ethnicity, and handedness. Cortical thickness measures were extracted. Mixed effect regression models were used to test the relationship between symptoms and cortical gray matter thickness in siblings. Cortical thinning was also tested longitudinally in healthy volunteers and siblings. RESULTS Cortical thinning was found to correlate with symptoms of schizotypal and, to a lesser extent, schizoid PDs. Thinning was most pronounced in the left temporal and parietal lobes and right frontal and parietal regions. Gray matter loss was found to be continuous with that measured in COS. Longitudinal thinning trajectories were found not to differ between siblings and healthy volunteers. CONCLUSION The present investigation of cortical thinning in siblings of patients with COS indicates that symptoms of schizophrenia spectrum PDs correlate with regional gray matter loss. This finding supports the idea of cortical thinning as a schizophrenia endophenotype.
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Affiliation(s)
- Rebecca E Watsky
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | | | - Deanna Greenstein
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Lorie Shora
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Diane Dillard-Broadnax
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Peter Gochman
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Liv S Clasen
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Rebecca A Berman
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Judith L Rapoport
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Nitin Gogtay
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
| | - Anna E Ordóñez
- Child Psychiatry Branch, National Institute of Mental Health, National Institutes of Health
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Goghari VM, Truong W, Spilka MJ. A magnetic resonance imaging family study of cortical thickness in schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2015; 168:660-8. [PMID: 26235705 DOI: 10.1002/ajmg.b.32354] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 07/10/2015] [Indexed: 11/08/2022]
Abstract
Schizophrenia is associated with abnormalities in cortical thickness, including both thicker and thinner cortices than controls. Although less reliably than in patients, non-psychotic relatives of schizophrenia patients have also demonstrated both thicker and thinner cortices than controls, suggesting an effect of familial or genetic liability. We investigated cortical thickness in 25 schizophrenia patients, 26 adult non-psychotic first-degree biological relatives, and 23 community controls using the automated program FreeSurfer. Contrary to hypotheses, we found relatives of schizophrenia patients had greater cortical thickness in all lobes compared to patients and controls; however, this finding was not as widespread when compared to controls. In contrast, schizophrenia patients only demonstrated a thinner right fusiform region than controls and relatives. Our finding of greater thickness in adult biological relatives could represent a maladaptive abnormality or alternatively, a compensatory mechanism. Previous literature suggests that the nature of abnormalities in relatives can vary by the age of relatives and change across the developmental period. Abnormalities in patients may depend on lifestyle factors and on current and previous anti-psychotic medication use. Our results speak to the need to study various populations of patients and relatives across the lifespan to better understand different developmental periods and the impact of environmental factors. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Vina M Goghari
- Department of Psychology, Clinical Neuroscience of Schizophrenia (CNS) Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Wanda Truong
- Department of Psychology, Clinical Neuroscience of Schizophrenia (CNS) Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Michael J Spilka
- Department of Psychology, Clinical Neuroscience of Schizophrenia (CNS) Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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25
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French L, Gray C, Leonard G, Perron M, Pike GB, Richer L, Séguin JR, Veillette S, Evans CJ, Artiges E, Banaschewski T, Bokde AWL, Bromberg U, Bruehl R, Buchel C, Cattrell A, Conrod PJ, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Lemaitre H, Martinot JL, Nees F, Orfanos DP, Pangelinan MM, Poustka L, Rietschel M, Smolka MN, Walter H, Whelan R, Timpson NJ, Schumann G, Smith GD, Pausova Z, Paus T. Early Cannabis Use, Polygenic Risk Score for Schizophrenia and Brain Maturation in Adolescence. JAMA Psychiatry 2015; 72:1002-11. [PMID: 26308966 PMCID: PMC5075969 DOI: 10.1001/jamapsychiatry.2015.1131] [Citation(s) in RCA: 123] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
IMPORTANCE Cannabis use during adolescence is known to increase the risk for schizophrenia in men. Sex differences in the dynamics of brain maturation during adolescence may be of particular importance with regard to vulnerability of the male brain to cannabis exposure. OBJECTIVE To evaluate whether the association between cannabis use and cortical maturation in adolescents is moderated by a polygenic risk score for schizophrenia. DESIGN, SETTING, AND PARTICIPANTS Observation of 3 population-based samples included initial analysis in 1024 adolescents of both sexes from the Canadian Saguenay Youth Study (SYS) and follow-up in 426 adolescents of both sexes from the IMAGEN Study from 8 European cities and 504 male youth from the Avon Longitudinal Study of Parents and Children (ALSPAC) based in England. A total of 1577 participants (aged 12-21 years; 899 [57.0%] male) had (1) information about cannabis use; (2) imaging studies of the brain; and (3) a polygenic risk score for schizophrenia across 108 genetic loci identified by the Psychiatric Genomics Consortium. Data analysis was performed from March 1 through December 31, 2014. MAIN OUTCOMES AND MEASURES Cortical thickness derived from T1-weighted magnetic resonance images. Linear regression tests were used to assess the relationships between cannabis use, cortical thickness, and risk score. RESULTS Across the 3 samples of 1574 participants, a negative association was observed between cannabis use in early adolescence and cortical thickness in male participants with a high polygenic risk score. This observation was not the case for low-risk male participants or for the low- or high-risk female participants. Thus, in SYS male participants, cannabis use interacted with risk score vis-à-vis cortical thickness (P = .009); higher scores were associated with lower thickness only in males who used cannabis. Similarly, in the IMAGEN male participants, cannabis use interacted with increased risk score vis-à-vis a change in decreasing cortical thickness from 14.5 to 18.5 years of age (t137 = -2.36; P = .02). Finally, in the ALSPAC high-risk group of male participants, those who used cannabis most frequently (≥61 occasions) had lower cortical thickness than those who never used cannabis (difference in cortical thickness, 0.07 [95% CI, 0.01-0.12]; P = .02) and those with light use (<5 occasions) (difference in cortical thickness, 0.11 [95% CI, 0.03-0.18]; P = .004). CONCLUSIONS AND RELEVANCE Cannabis use in early adolescence moderates the association between the genetic risk for schizophrenia and cortical maturation among male individuals. This finding implicates processes underlying cortical maturation in mediating the link between cannabis use and liability to schizophrenia.
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Affiliation(s)
- Leon French
- Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
| | - Courtney Gray
- Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
| | - Gabriel Leonard
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Michel Perron
- Groupe d'Étude des Conditions de vie et des Besoins de la Population, Cégep de Jonquiere, Jonquiere, Saguenay, Quebec, Canada 4Department of Human Sciences, University of Quebec in Chicoutimi, Chicoutimi, Quebec, Canada
| | - G Bruce Pike
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada6Department of Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
| | - Louis Richer
- Department of Health Sciences, University of Quebec in Chicoutimi, Chicoutimi, Quebec, Canada
| | - Jean R Séguin
- Department of Psychiatry and Centre de Recherche du Centre Hospitalier Universitaire Ste-Justine, University de Montréal, Montreal, Quebec, Canada
| | - Suzanne Veillette
- Groupe d'Étude des Conditions de vie et des Besoins de la Population, Cégep de Jonquiere, Jonquiere, Saguenay, Quebec, Canada 4Department of Human Sciences, University of Quebec in Chicoutimi, Chicoutimi, Quebec, Canada
| | - C John Evans
- School of Psychology, Cardiff University, Cardiff, Wales
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Medicale (INSERM), Unité Mixte de Recherche (UMR) 1000, Research Unit Imaging and Psychiatry, Commissariat à l'Énergie Atomique (CEA), Direction des Sciences du Vivant, Institut d'Imagerie Biomédicale, Serv
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun W L Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neurosciences, Trinity College, Dublin, Ireland
| | - Uli Bromberg
- Institut für Systemische Neurowissenschaften, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | | | - Christian Buchel
- Institut für Systemische Neurowissenschaften, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Anna Cattrell
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England20Medical Research Council-Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London
| | - Patricia J Conrod
- Department of Psychiatry and Centre de Recherche du Centre Hospitalier Universitaire Ste-Justine, University de Montréal, Montreal, Quebec, Canada19Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Jurgen Gallinat
- Institut für Systemische Neurowissenschaften, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington24Department of Psychology, University of Vermont, Burlington
| | - Penny Gowland
- School of Physics and Astronomy, University of Nottingham, Nottingham, England
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Herve Lemaitre
- Institut National de la Santé et de la Recherche Medicale (INSERM), Unité Mixte de Recherche (UMR) 1000, Research Unit Imaging and Psychiatry, Commissariat à l'Énergie Atomique (CEA), Direction des Sciences du Vivant, Institut d'Imagerie Biomédicale, Serv
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Medicale (INSERM), Unité Mixte de Recherche (UMR) 1000, Research Unit Imaging and Psychiatry, Commissariat à l'Énergie Atomique (CEA), Direction des Sciences du Vivant, Institut d'Imagerie Biomédicale, Serv
| | - Frauke Nees
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marcella Rietschel
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Whelan
- Department of Psychology, University College Dublin, Dublin, Ireland
| | - Nic J Timpson
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England20Medical Research Council-Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, England
| | - Zdenka Pausova
- Department of Physiology and Experimental Medicine, Hospital for Sick Children, University of Toronto, Ontario, Canada31Department of Physiology, University of Toronto, Ontario, Canada32Department of Nutritional Sciences, University of Toronto, Ontario, C
| | - Tomáš Paus
- Rotman Research Institute, Baycrest, Toronto, Ontario, Canada33Department of Psychology, University of Toronto, Ontario, Canada34Department of Psychiatry, University of Toronto, Ontario, Canada35Child Mind Institute, New York, New York
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Abstract
Childhood-onset schizophrenia is a rare pediatric onset psychiatric disorder continuous with and typically more severe than its adult counterpart. Neuroimaging research conducted on this population has revealed similarly severe neural abnormalities. When taken as a whole, neuroimaging research in this population shows generally decreased cortical gray matter coupled with white matter connectivity abnormalities, suggesting an anatomical basis for deficits in executive function. Subcortical abnormalities are pronounced in limbic structures, where volumetric deficits are likely related to social skill deficits, and cerebellar deficits that have been correlated to cognitive abnormalities. Structures relevant to motor processing also show a significant alteration, with volumetric increase in basal ganglia structures likely due to antipsychotic administration. Neuroimaging of this disorder shows an important clinical image of exaggerated cortical loss, altered white matter connectivity, and differences in structural development of subcortical areas during the course of development and provides important background to the disease state.
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Sugranyes G, de la Serna E, Romero S, Sanchez-Gistau V, Calvo A, Moreno D, Baeza I, Diaz-Caneja CM, Sanchez-Gutierrez T, Janssen J, Bargallo N, Castro-Fornieles J. Gray Matter Volume Decrease Distinguishes Schizophrenia From Bipolar Offspring During Childhood and Adolescence. J Am Acad Child Adolesc Psychiatry 2015. [PMID: 26210337 DOI: 10.1016/j.jaac.2015.05.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE There is increasing support toward the notion that schizophrenia and bipolar disorder share neurodevelopmental underpinnings, although areas of divergence remain. We set out to examine gray matter volume characteristics of child and adolescent offspring of patients with schizophrenia or bipolar disorder comparatively. METHOD In this 2-center study, magnetic resonance structural neuroimaging data were acquired in 198 children and adolescents (aged 6-17 years): 38 offspring of patients with schizophrenia, 77 offspring of patients with bipolar disorder, and 83 offspring of community controls. Analyses of global brain volumes and voxel-based morphometry (using familywise error correction) were conducted. RESULTS There was an effect of group on total cerebral gray matter volume (F = 3.26, p = .041), driven by a decrease in offspring of patients with schizophrenia relative to offspring of controls (p = .035). At a voxel-based level, we observed an effect of group in the left inferior frontal cortex/anterior insula (F = 14.7, p < .001), which was driven by gray matter volume reduction in offspring of patients with schizophrenia relative to both offspring of controls (p = .044) and of patients with bipolar disorder (p < .001). No differences were observed between offspring of patients with bipolar disorder and offspring of controls in either global or voxel-based gray matter volumes. CONCLUSION This first comparative study between offspring of patients with schizophrenia and bipolar disorder suggests that gray matter volume reduction in childhood and adolescence may be specific to offspring of patients with schizophrenia; this may index a greater neurodevelopmental impact of risk for schizophrenia relative to bipolar disorder during youth.
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Affiliation(s)
- Gisela Sugranyes
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain, and Institute of Neuroscience, Hospital Clínic of Barcelona.
| | - Elena de la Serna
- Institute of Neuroscience, Hospital Clínic of Barcelona, and Biomedical Research Network Centre in Mental Health (CIBERSAM), Madrid
| | - Soledad Romero
- Institute of Neuroscience, Hospital Clínic of Barcelona, and Biomedical Research Network Centre in Mental Health (CIBERSAM), Madrid
| | | | - Anna Calvo
- IDIBAPS and Biomedical Research Network Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Grupo de Imagen Biomédica de la Universidad de Barcelona (GIB-UB)
| | - Dolores Moreno
- CIBERSAM and Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Inmaculada Baeza
- IDIBAPS, Institute of Neuroscience, Hospital Clínic of Barcelona, and CIBERSAM
| | - Covadonga M Diaz-Caneja
- Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Teresa Sanchez-Gutierrez
- Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Joost Janssen
- CIBERSAM and Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria del Hospital Gregorio Marañón (IiSGM), CIBERSAM, School of Medicine, Complutense University, Madrid
| | - Nuria Bargallo
- IDIBAPS, CIBERSAM, and Image Diagnosis Center, Hospital Clinic of Barcelona
| | - Josefina Castro-Fornieles
- IDIBAPS, Institute of Neuroscience, Hospital Clínic of Barcelona, and CIBERSAM; University of Barcelona
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28
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Cognitive intervention in early psychosis — preserving abilities versus remediating deficits. Curr Opin Behav Sci 2015. [DOI: 10.1016/j.cobeha.2015.02.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Keshavan MS, Mehta UM, Padmanabhan JL, Shah JL. Dysplasticity, metaplasticity, and schizophrenia: Implications for risk, illness, and novel interventions. Dev Psychopathol 2015; 27:615-35. [PMID: 25997775 PMCID: PMC6283269 DOI: 10.1017/s095457941500019x] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
In this paper, we review the history of the concept of neuroplasticity as it relates to the understanding of neuropsychiatric disorders, using schizophrenia as a case in point. We briefly review the myriad meanings of the term neuroplasticity, and its neuroscientific basis. We then review the evidence for aberrant neuroplasticity and metaplasticity associated with schizophrenia as well as the risk for developing this illness, and discuss the implications of such understanding for prevention and therapeutic interventions. We argue that the failure and/or altered timing of plasticity of critical brain circuits might underlie cognitive and deficit symptoms, and may also lead to aberrant plastic reorganization in other circuits, leading to affective dysregulation and eventually psychosis. This "dysplastic" model of schizophrenia can suggest testable etiology and treatment-relevant questions for the future.
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Affiliation(s)
- Matcheri S. Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States
| | - Urvakhsh Meherwan Mehta
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Jaya L. Padmanabhan
- Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States
| | - Jai L. Shah
- Douglas Hospital Research Center and Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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31
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Hager BM, Keshavan MS. Neuroimaging Biomarkers for Psychosis. Curr Behav Neurosci Rep 2015; 2015:1-10. [PMID: 25883891 PMCID: PMC4394385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
BACKGROUND Biomarkers provide clinicians with a predictable model for the diagnosis, treatment and follow-up of medical ailments. Psychiatry has lagged behind other areas of medicine in the identification of biomarkers for clinical diagnosis and treatment. In this review, we investigated the current state of neuroimaging as it pertains to biomarkers for psychosis. METHODS We reviewed systematic reviews and meta-analyses of the structural (sMRI), functional (fMRI), diffusion-tensor (DTI), Positron emission tomography (PET) and spectroscopy (MRS) studies of subjects at-risk or those with an established schizophrenic illness. Only articles reporting effect-sizes and confidence intervals were included in an assessment of robustness. RESULTS Out of the identified meta-analyses and systematic reviews, 21 studies met the inclusion criteria for assessment. There were 13 sMRI, 4 PET, 3 MRS, and 1 DTI studies. The search terms included in the current review encompassed familial high risk (FHR), clinical high risk (CHR), First episode (FES), Chronic (CSZ), schizophrenia spectrum disorders (SSD), and healthy controls (HC). CONCLUSIONS Currently, few neuroimaging biomarkers can be considered ready for diagnostic use in patients with psychosis. At least in part, this may be related to the challenges inherent in the current symptom-based approach to classifying these disorders. While available studies suggest a possible value of imaging biomarkers for monitoring disease progression, more systematic research is needed. To date, the best value of imaging data in psychoses has been to shed light on questions of disease pathophysiology, especially through the characterization of endophenotypes.
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Affiliation(s)
- Brandon M. Hager
- Massachusetts Mental Health Center Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, 75 Fenwood Road, 5th Floor, Boston, MA 02115 USA (617) 754-1244
| | - Matcheri S. Keshavan
- Massachusetts Mental Health Center Division of Public Psychiatry, Beth Israel Deaconess Medical Center, Department of Psychiatry, Harvard Medical School, 75 Fenwood Road, 5th Floor, Boston, MA 02115 USA (617) 754-1256
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32
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Wagshal D, Knowlton BJ, Cohen JR, Bookheimer SY, Bilder RM, Fernandez VG, Asarnow RF. Cognitive correlates of gray matter abnormalities in adolescent siblings of patients with childhood-onset schizophrenia. Schizophr Res 2015; 161:345-50. [PMID: 25541139 PMCID: PMC4405249 DOI: 10.1016/j.schres.2014.12.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Revised: 12/03/2014] [Accepted: 12/05/2014] [Indexed: 01/04/2023]
Abstract
Patients with childhood onset schizophrenia (COS) display widespread gray matter (GM) structural brain abnormalities. Healthy siblings of COS patients share some of these structural abnormalities, suggesting that GM abnormalities are endophenotypes for schizophrenia. Another possible endophenotype for schizophrenia that has been relatively unexplored is corticostriatal dysfunction. The corticostriatal system plays an important role in skill learning. Our previous studies have demonstrated corticostriatal dysfunction in COS siblings with a profound skill learning deficit and abnormal pattern of brain activation during skill learning. This study investigated whether structural abnormalities measured using volumetric brain morphometry (VBM) were present in siblings of COS patients and whether these were related to deficits in cognitive skill learning. Results revealed smaller GM volume in COS siblings relative to controls in a number of regions, including occipital, parietal, and subcortical regions including the striatum, and greater GM volume relative to controls in several subcortical regions. Volume in the right superior frontal gyrus and cerebellum were related to performance differences between groups on the weather prediction task, a measure of cognitive skill learning. Our results support the idea that corticostriatal and cerebellar impairment in unaffected siblings of COS patients are behaviorally relevant and may reflect genetic risk for schizophrenia.
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Affiliation(s)
- Dana Wagshal
- University of California San Francisco, United States.
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33
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Chakravarty MM, Rapoport JL, Giedd JN, Raznahan A, Shaw P, Collins DL, Lerch JP, Gogtay N. Striatal shape abnormalities as novel neurodevelopmental endophenotypes in schizophrenia: a longitudinal study. Hum Brain Mapp 2014; 36:1458-69. [PMID: 25504933 DOI: 10.1002/hbm.22715] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2014] [Revised: 11/15/2014] [Accepted: 11/30/2014] [Indexed: 01/04/2023] Open
Abstract
There are varying, often conflicting, reports with respect to altered striatal volume and morphometry in the major psychoses due to the influences of antipsychotic medications on striatal volume. Thus, disassociating disease effects from those of medication become exceedingly difficult. For the first time, using a longitudinally studied sample of structural magnetic resonance images from patients with childhood onset schizophrenia (COS; neurobiologically contiguous with the adult onset form of schizophrenia), their nonpsychotic siblings (COSSIBs), and novel shape mapping algorithms that are volume independent, we report the familial contribution of striatal morphology in schizophrenia. The results of our volumetric analyses demonstrate age-related increases in overall striatal volumes specific only to COS. However, both COS and COSSIBs showed overlapping shape differences in the striatal head, which normalized in COSSIBs by late adolescence. These results mirror previous studies from our group, demonstrating cortical thickness deficits in COS and COSSIBs as these deficits normalize in COSSIBs in the same age range as our striatal findings. Finally, there is a single region of nonoverlapping outward displacement in the dorsal aspect of the caudate body, potentially indicative of a response to medication. Striatal shape may be considered complimentary to volume as an endophenotype, and, in some cases may provide information that is not detectable using standard volumetric techniques. Our striatal shape findings demonstrate the striking localization of abnormalities in striatal the head. The neuroanatomical localization of these findings suggest the presence of abnormalities in the striatal-prefrontal circuits in schizophrenia and resilience mechanisms in COSSIBs with age dependent normalization.
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Affiliation(s)
- M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Canada; Department of Psychiatry, McGill University, Montreal, Canada; Department of Biomedical Engineering, McGill University, Montreal, Canada
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Uher R, Cumby J, MacKenzie LE, Morash-Conway J, Glover JM, Aylott A, Propper L, Abidi S, Bagnell A, Pavlova B, Hajek T, Lovas D, Pajer K, Gardner W, Levy A, Alda M. A familial risk enriched cohort as a platform for testing early interventions to prevent severe mental illness. BMC Psychiatry 2014; 14:344. [PMID: 25439055 PMCID: PMC4267051 DOI: 10.1186/s12888-014-0344-2] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 11/19/2014] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Severe mental illness (SMI), including schizophrenia, bipolar disorder and severe depression, is responsible for a substantial proportion of disability in the population. This article describes the aims and design of a research study that takes a novel approach to targeted prevention of SMI. It is based on the rationale that early developmental antecedents to SMI are likely to be more malleable than fully developed mood or psychotic disorders and that low-risk interventions targeting antecedents may reduce the risk of SMI. METHODS/DESIGN Families Overcoming Risks and Building Opportunities for Well-being (FORBOW) is an accelerated cohort study that includes a large proportion of offspring of parents with SMI and embeds intervention trials in a cohort multiple randomized controlled trial (cmRCT) design. Antecedents are conditions of the individual that are distressing but not severely impairing, predict SMI with moderate-to-large effect sizes and precede the onset of SMI by at least several years. FORBOW focuses on the following antecedents: affective lability, anxiety, psychotic-like experiences, basic symptoms, sleep problems, somatic symptoms, cannabis use and cognitive delay. Enrolment of offspring over a broad age range (0 to 21 years) will allow researchers to draw conclusions on a longer developmental period from a study of shorter duration. Annual assessments cover a full range of psychopathology, cognitive abilities, eligibility criteria for interventions and outcomes. Pre-emptive early interventions (PEI) will include skill training for parents of younger children and courses in emotional well-being skills based on cognitive behavioural therapy for older children and youth. A sample enriched for familial risk of SMI will enhance statistical power for testing the efficacy of PEI. DISCUSSION FORBOW offers a platform for efficient and unbiased testing of interventions selected according to best available evidence. Since few differences exist between familial and 'sporadic' SMI, the same interventions are likely to be effective in the general population. Comparison of short-term efficacy of PEI on antecedents and the long term efficacy for preventing the onset of SMI will provide an experimental test of the etiological role of antecedents in the development of SMI.
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Affiliation(s)
- Rudolf Uher
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.
- Department of Public Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Jill Cumby
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
| | - Lynn E MacKenzie
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.
| | | | | | - Alice Aylott
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Lukas Propper
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Sabina Abidi
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Alexa Bagnell
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Barbara Pavlova
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Tomas Hajek
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - David Lovas
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Kathleen Pajer
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - William Gardner
- IWK Health Centre, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Adrian Levy
- Department of Public Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.
| | - Martin Alda
- Capital District Health Authority, Halifax, Nova Scotia, Canada.
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada.
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Yoon KJ, Nguyen HN, Ursini G, Zhang F, Kim NS, Wen Z, Makri G, Nauen D, Shin JH, Park Y, Chung R, Pekle E, Zhang C, Towe M, Hussaini SMQ, Lee Y, Rujescu D, St Clair D, Kleinman JE, Hyde TM, Krauss G, Christian KM, Rapoport JL, Weinberger DR, Song H, Ming GL. Modeling a genetic risk for schizophrenia in iPSCs and mice reveals neural stem cell deficits associated with adherens junctions and polarity. Cell Stem Cell 2014; 15:79-91. [PMID: 24996170 PMCID: PMC4237009 DOI: 10.1016/j.stem.2014.05.003] [Citation(s) in RCA: 198] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Revised: 04/10/2014] [Accepted: 05/12/2014] [Indexed: 01/01/2023]
Abstract
Defects in brain development are believed to contribute toward the onset of neuropsychiatric disorders, but identifying specific underlying mechanisms has proven difficult. Here, we took a multifaceted approach to investigate why 15q11.2 copy number variants are prominent risk factors for schizophrenia and autism. First, we show that human iPSC-derived neural progenitors carrying 15q11.2 microdeletion exhibit deficits in adherens junctions and apical polarity. This results from haploinsufficiency of CYFIP1, a gene within 15q11.2 that encodes a subunit of the WAVE complex, which regulates cytoskeletal dynamics. In developing mouse cortex, deficiency in CYFIP1 and WAVE signaling similarly affects radial glial cells, leading to their ectopic localization outside of the ventricular zone. Finally, targeted human genetic association analyses revealed an epistatic interaction between CYFIP1 and WAVE signaling mediator ACTR2 and risk for schizophrenia. Our findings provide insight into how CYFIP1 regulates neural stem cell function and may contribute to the susceptibility of neuropsychiatric disorders.
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Affiliation(s)
- Ki-Jun Yoon
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ha Nam Nguyen
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Graduate Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Gianluca Ursini
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Fengyu Zhang
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Nam-Shik Kim
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Zhexing Wen
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Georgia Makri
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - David Nauen
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Youngbin Park
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Raeeun Chung
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Eva Pekle
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ce Zhang
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Maxwell Towe
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | | | - Yohan Lee
- Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Dan Rujescu
- Department of Psychiatry, Ludwig-Maximilians University, Nussbaumstrasse 7, 80336, Munich, Germany
| | - David St Clair
- University of Aberdeen Royal Cornhill Hospital, Aberdeen AB25 2ZD, UK
| | - Joel E Kleinman
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Thomas M Hyde
- Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Gregory Krauss
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kimberly M Christian
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Judith L Rapoport
- Child Psychiatry Branch, National Institute of Mental Health, Bethesda, MD 20892, USA
| | - Daniel R Weinberger
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Lieber Institute for Brain Development, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Hongjun Song
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Graduate Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
| | - Guo-Li Ming
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Graduate Program in Cellular and Molecular Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
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Horga G, Kaur T, Peterson BS. Annual research review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies. J Child Psychol Psychiatry 2014; 55:659-80. [PMID: 24438507 PMCID: PMC4029914 DOI: 10.1111/jcpp.12185] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/28/2013] [Indexed: 12/15/2022]
Abstract
BACKGROUND The widespread use of Magnetic Resonance Imaging (MRI) in the study of child- and adult-onset developmental psychopathologies has generated many investigations that have measured brain structure and function in vivo throughout development, often generating great excitement over our ability to visualize the living, developing brain using the attractive, even seductive images that these studies produce. Often lost in this excitement is the recognition that brain imaging generally, and MRI in particular, is simply a technology, one that does not fundamentally differ from any other technology, be it a blood test, a genotyping assay, a biochemical assay, or behavioral test. No technology alone can generate valid scientific findings. Rather, it is only technology coupled with a strong experimental design that can generate valid and reproducible findings that lead to new insights into the mechanisms of disease and therapeutic response. METHODS In this review we discuss selected studies to illustrate the most common and important limitations of MRI study designs as most commonly implemented thus far, as well as the misunderstanding that the interpretations of findings from those studies can create for our theories of developmental psychopathologies. RESULTS Common limitations of MRI study designs are in large part responsible thus far for the generally poor reproducibility of findings across studies, poor generalizability to the larger population, failure to identify developmental trajectories, inability to distinguish causes from effects of illness, and poor ability to infer causal mechanisms in most MRI studies of developmental psychopathologies. For each of these limitations in study design and the difficulties they entail for the interpretation of findings, we discuss various approaches that numerous laboratories are now taking to address those difficulties, which have in common the yoking of brain imaging technologies to studies with inherently stronger designs that permit more valid and more powerful causal inferences. Those study designs include epidemiological, longitudinal, high-risk, clinical trials, and multimodal imaging studies. CONCLUSIONS We highlight several studies that have yoked brain imaging technologies to these stronger designs to illustrate how doing so can aid our understanding of disease mechanisms and in the foreseeable future can improve clinical diagnosis, prevention, and treatment planning for developmental psychopathologies.
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Affiliation(s)
- Guillermo Horga
- Department of Psychiatry; New York State Psychiatric Institute and College of Physicians and Surgeons; Columbia University; New York NY USA
| | - Tejal Kaur
- Department of Psychiatry; New York State Psychiatric Institute and College of Physicians and Surgeons; Columbia University; New York NY USA
| | - Bradley S. Peterson
- Department of Psychiatry; New York State Psychiatric Institute and College of Physicians and Surgeons; Columbia University; New York NY USA
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Puetz V, Günther T, Kahraman-Lanzerath B, Herpertz-Dahlmann B, Konrad K. Neuropsychological Deficits in the Prodromal Phase and Course of an Early-Onset Schizophrenia. ZEITSCHRIFT FUR KINDER-UND JUGENDPSYCHIATRIE UND PSYCHOTHERAPIE 2014; 42:167-76. [DOI: 10.1024/1422-4917/a000286] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Objectives: Although clear advances have been achieved in the study of early-onset schizophrenia (EOS), little is known to date about premorbid and prodromal neuropsychological functioning in EOS. Method: Here, we report on a case of an adolescent male with EOS who underwent neuropsychological testing before and after illness onset. Results: Marked cognitive deficits in the domains of attention, set-shifting, and verbal memory were present both pre-onset and during the course of schizophrenia, though only deficits in verbal memory persisted after illness-onset and antipsychotic treatment. Conclusion: The findings of this case study suggest that impairments in the verbal memory domain are particularly prominent symptoms of cognitive impairment in prodromal EOS and persist in the course of the disorder, which further demonstrates the difficult clinical situation of adequate schooling opportunities for adolescent patients with EOS.
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Affiliation(s)
- Vanessa Puetz
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, Germany
| | - Thomas Günther
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, Germany
| | - Berrak Kahraman-Lanzerath
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, Germany
| | - Beate Herpertz-Dahlmann
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, Germany
- JARA Translational Brain Medicine, Aachen & Jülich, Germany
| | - Kerstin Konrad
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University Hospital Aachen, Germany
- JARA Translational Brain Medicine, Aachen & Jülich, Germany
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Arango C, Fraguas D, Parellada M. Differential neurodevelopmental trajectories in patients with early-onset bipolar and schizophrenia disorders. Schizophr Bull 2014; 40 Suppl 2:S138-46. [PMID: 24371326 PMCID: PMC3934406 DOI: 10.1093/schbul/sbt198] [Citation(s) in RCA: 90] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Schizophrenia and bipolar disorders share not only clinical features but also some risk factors such as genetic markers and childhood adversity, while other risk factors such as urbanicity and obstetric complications seem to be specific to schizophrenia. An intriguing question is whether the well-established abnormal neurodevelopment present in many children and adolescents who eventually develop schizophrenia is also present in bipolar patients. The literature on adult bipolar patients is controversial. We report data on a subgroup of patients with pediatric-onset psychotic bipolar disorder who seem to share some developmental trajectories with patients with early-onset schizophrenia. These early-onset psychotic bipolar patients have low intelligence quotient, more neurological signs, reduced frontal gray matter at the time of their first psychotic episode, and greater brain changes than healthy controls in a pattern similar to early-onset schizophrenia cases. However, patients with early-onset schizophrenia seem to have more social impairment, developmental abnormalities (eg, language problems), and lower academic achievement in childhood than early-onset bipolar patients. We suggest that some of these abnormal developmental trajectories are more related to the phenotypic features (eg, early-onset psychotic symptoms) of these 2 syndromes than to categorically defined Diagnostic and Statistical Manual of Mental Disorders disorders.
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Affiliation(s)
- Celso Arango
- *To whom correspondence should be addressed; Hospital General Universitario Gregorio Marañón, Ibiza 43, 28009 Madrid, Spain; tel: 34-914265006; fax: 34-91426004, e-mail:
| | - David Fraguas
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM, Madrid, Spain
| | - Mara Parellada
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM, Madrid, Spain
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Self-disturbances as a possible premorbid indicator of schizophrenia risk: a neurodevelopmental perspective. Schizophr Res 2014; 152:73-80. [PMID: 23932148 PMCID: PMC3877695 DOI: 10.1016/j.schres.2013.07.038] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2013] [Revised: 07/17/2013] [Accepted: 07/19/2013] [Indexed: 02/07/2023]
Abstract
Self-disturbances (SDs) are increasingly identified in schizophrenia and are theorized to confer vulnerability to psychosis. Neuroimaging research has shed some light on the neural correlates of SDs in schizophrenia. But, the onset and trajectory of the neural alterations underlying SDs in schizophrenia remain incompletely understood. We hypothesize that the aberrant structure and function of brain areas (e.g., prefrontal, lateral temporal, and parietal cortical structures) comprising the "neural circuitry of self" may represent an early, premorbid (i.e., pre-prodromal) indicator of schizophrenia risk. Consistent with neurodevelopmental models, we argue that "early" (i.e., perinatal) dysmaturational processes (e.g., abnormal cortical neural cell migration and mini-columnar formation) affecting key prefrontal (e.g., medial prefrontal cortex), lateral temporal cortical (e.g., superior temporal sulcus), and parietal (e.g., inferior parietal lobule) structures involved in self-processing may lead to subtle disruptions of "self" during childhood in persons at risk for schizophrenia. During adolescence, progressive neurodevelopmental alterations (e.g., aberrant synaptic pruning) affecting the neural circuitry of self may contribute to worsening of SDs. This could result in the emergence of prodromal symptoms and, eventually, full-blown psychosis. To highlight why adolescence may be a period of heightened risk for SDs, we first summarize the literature regarding the neural correlates of self in typically developing children. Next, we present evidence from neuroimaging studies in genetic high-risk youth suggesting that fronto-temporal-parietal structures mediating self-reflection may be abnormal in the premorbid period. Our goal is that the ideas presented here might provide future directions for research into the neurobiology of SDs during the pre-psychosis development of youth at risk for schizophrenia.
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Age-related cortical thickness differences in adolescents with early-onset schizophrenia compared with healthy adolescents. Psychiatry Res 2013; 214:190-6. [PMID: 24144503 DOI: 10.1016/j.pscychresns.2013.07.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2013] [Revised: 05/12/2013] [Accepted: 07/09/2013] [Indexed: 11/21/2022]
Abstract
The aim of the present study was to investigate the influence of age on cerebral cortical thickness in adolescents with early-onset schizophrenia (EOS) (n=22, aged 12-18 years), as compared to an age-matched healthy control group (n=32). All participants were scanned with magnetic resonance imaging. Whereas in the healthy control group there was a negative association between increasing age and cortical thickness measures in widespread brain regions, including frontal and parietal cortices, the patient group showed no significant effects of age when the groups were studied separately. There was a trend towards an age-by-group effect in the left supramarginal gyrus and the right pre- and postcentral gyri. The between-group statistical analysis indicated similar cortical thickness in the patients as in the healthy controls. There were no significant effects of medication on cortical thickness, nor was there any significant sex-by-group interaction. The results suggest that patients with EOS have a deficiency of the expected cortical thinning to occur during adolescence development. The findings are discussed in context of neurobiological processes known to be involved in brain maturation, including synaptic reorganization, pruning and myelination.
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Baribeau DA, Anagnostou E. A comparison of neuroimaging findings in childhood onset schizophrenia and autism spectrum disorder: a review of the literature. Front Psychiatry 2013; 4:175. [PMID: 24391605 PMCID: PMC3869044 DOI: 10.3389/fpsyt.2013.00175] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2013] [Accepted: 12/09/2013] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Autism spectrum disorder (ASD) and childhood onset schizophrenia (COS) are pediatric neurodevelopmental disorders associated with significant morbidity. Both conditions are thought to share an underlying genetic architecture. A comparison of neuroimaging findings across ASD and COS with a focus on altered neurodevelopmental trajectories can shed light on potential clinical biomarkers and may highlight an underlying etiopathogenesis. METHODS A comprehensive review of the medical literature was conducted to summarize neuroimaging data with respect to both conditions in terms of structural imaging (including volumetric analysis, cortical thickness and morphology, and region of interest studies), white matter analysis (include volumetric analysis and diffusion tensor imaging) and functional connectivity. RESULTS In ASD, a pattern of early brain overgrowth in the first few years of life is followed by dysmaturation in adolescence. Functional analyses have suggested impaired long-range connectivity as well as increased local and/or subcortical connectivity in this condition. In COS, deficits in cerebral volume, cortical thickness, and white matter maturation seem most pronounced in childhood and adolescence, and may level off in adulthood. Deficits in local connectivity, with increased long-range connectivity have been proposed, in keeping with exaggerated cortical thinning. CONCLUSION The neuroimaging literature supports a neurodevelopmental origin of both ASD and COS and provides evidence for dynamic changes in both conditions that vary across space and time in the developing brain. Looking forward, imaging studies which capture the early post natal period, which are longitudinal and prospective, and which maximize the signal to noise ratio across heterogeneous conditions will be required to translate research findings into a clinical environment.
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Affiliation(s)
| | - Evdokia Anagnostou
- Autism Research Centre, Bloorview Research Institute, University of Toronto , Toronto, ON , Canada
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Abstract
Schizophrenia is a heritable disorder. The genetic architecture of schizophrenia is complex and heterogeneous. This article discusses genetic studies of childhood-onset schizophrenia (COS) and compares findings in familial aggregation, common allele, and rare allele studies of COS with those for adult-onset schizophrenia (AOS). COS seems to be a rare variant of AOS with greater familial aggregation of schizophrenia spectrum disorders and higher occurrence of rare allelic variants. The usefulness of genetic screening for diagnosis and individualized treatment is limited; however, identifying common pathways through which multiple genes adversely affect neural systems offers great promise toward developing novel pharmacologic interventions.
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Affiliation(s)
- Robert F Asarnow
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, California, USA,Department of Psychology, University of California at Los Angeles, Los Angeles, California, USA
| | - Jennifer K Forsyth
- Department of Psychology, University of California at Los Angeles, Los Angeles, California, USA
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Thermenos HW, Keshavan MS, Juelich RJ, Molokotos E, Whitfield-Gabrieli S, Brent BK, Makris N, Seidman LJ. A review of neuroimaging studies of young relatives of individuals with schizophrenia: a developmental perspective from schizotaxia to schizophrenia. Am J Med Genet B Neuropsychiatr Genet 2013; 162B:604-35. [PMID: 24132894 DOI: 10.1002/ajmg.b.32170] [Citation(s) in RCA: 83] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2013] [Accepted: 04/24/2013] [Indexed: 11/08/2022]
Abstract
In an effort to identify the developing abnormalities preceding psychosis, Dr. Ming T. Tsuang and colleagues at Harvard expanded Meehl's concept of "schizotaxia," and examined brain structure and function in families affected by schizophrenia (SZ). Here, we systematically review genetic (familial) high-risk (HR) studies of SZ using magnetic resonance imaging (MRI), examine how findings inform models of SZ etiology, and suggest directions for future research. Neuroimaging studies of youth at HR for SZ through the age of 30 were identified through a MEDLINE (PubMed) search. There is substantial evidence of gray matter volume abnormalities in youth at HR compared to controls, with an accelerated volume reduction over time in association with symptoms and cognitive deficits. In structural neuroimaging studies, prefrontal cortex (PFC) alterations were the most consistently reported finding in HR. There was also consistent evidence of smaller hippocampal volume. In functional studies, hyperactivity of the right PFC during performance of diverse tasks with common executive demands was consistently reported. The only longitudinal fMRI study to date revealed increasing left middle temporal activity in association with the emergence of psychotic symptoms. There was preliminary evidence of cerebellar and default mode network alterations in association with symptoms. Brain abnormalities in structure, function and neurochemistry are observed in the premorbid period in youth at HR for SZ. Future research should focus on the genetic and environmental contributions to these alterations, determine how early they emerge, and determine whether they can be partially or fully remediated by innovative treatments.
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Affiliation(s)
- H W Thermenos
- Harvard Medical School, Boston, Massachusetts; Massachusetts Mental Health Center, Division of Public Psychiatry, Boston, Massachusetts; Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
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Brent BK, Thermenos HW, Keshavan MS, Seidman LJ. Gray Matter Alterations in Schizophrenia High-Risk Youth and Early-Onset Schizophrenia: A Review of Structural MRI Findings. Child Adolesc Psychiatr Clin N Am 2013; 22:689-714. [PMID: 24012081 PMCID: PMC3767930 DOI: 10.1016/j.chc.2013.06.003] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This article reviews the literature on structural magnetic resonance imaging findings in pediatric and young adult populations at clinical or genetic high-risk for schizophrenia and early-onset schizophrenia. The implications of this research are discussed for understanding the pathophysiology of schizophrenia and for early intervention strategies. The evidence linking brain structural changes in prepsychosis development and early-onset schizophrenia with disruptions of normal neurodevelopmental processes during childhood or adolescence is described. Future directions are outlined for research to address knowledge gaps regarding the neurobiological basis of brain structural abnormalities in schizophrenia and to improve the usefulness of these abnormalities for preventative interventions.
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Affiliation(s)
- Benjamin K Brent
- Harvard Medical School, Boston, MA 02115, USA; Division of Public Psychiatry, Massachusetts Mental Health Center, 75 Fenwood Road, Boston, MA 02115, USA; Department of Psychiatry, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA.
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McClellan J, Stock S. Practice parameter for the assessment and treatment of children and adolescents with schizophrenia. J Am Acad Child Adolesc Psychiatry 2013; 52:976-90. [PMID: 23972700 DOI: 10.1016/j.jaac.2013.02.008] [Citation(s) in RCA: 164] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Accepted: 02/21/2013] [Indexed: 01/16/2023]
Abstract
This Practice Parameter reviews the literature on the assessment and treatment of children and adolescents with schizophrenia. Early-onset schizophrenia is diagnosed using the same criteria as in adults and appears to be continuous with the adult form of the disorder. Clinical standards suggest that effective treatment includes antipsychotic medications combined with psychoeducational, psychotherapeutic, and educational interventions. Since this Practice Parameter was last published in 2001, several controlled trials of atypical antipsychotic agents for early-onset schizophrenia have been conducted. However, studies suggest that many youth with early-onset schizophrenia do not respond adequately to available agents and are vulnerable to adverse events, particularly metabolic side effects. Further research is needed to develop more effective and safer treatments.
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Cortical surface area correlates with STON2 gene Ser307Pro polymorphism in first-episode treatment-naïve patients with schizophrenia. PLoS One 2013; 8:e64090. [PMID: 23785397 PMCID: PMC3681785 DOI: 10.1371/journal.pone.0064090] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2012] [Accepted: 04/09/2013] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Evidence shows that STON2 gene is associated with synaptic function and schizophrenia. This study aims to explore the relationship between two functional polymorphisms (Ser307Pro and Ala851Ser) of STON2 gene and the cortical surface area in first-episode treatment-naïve patients with schizophrenia and healthy controls. METHODOLOGY/PRINCIPAL FINDINGS Magnetic resonance imaging of the whole cortical surface area, which was computed by an automated surface-based technique (FreeSurfer), was obtained from 74 first-episode treatment-naïve patients with schizophrenia and 55 healthy controls. Multiple regression analysis was performed to investigate the effect of genotype subgroups on the cortical surface area. A significant genotype-by-diagnosis effect on the cortical surface area was observed. Pro-allele carriers of Ser307Pro polymorphism had larger right inferior temporal surface area than Ser/Ser carriers in the patients with schizophrenia; however, no significant difference was found in the same area in the healthy controls. The Ala851Ser polymorphism of STON2 gene was not significantly associated with the cortical surface area in patients with schizophrenia and healthy controls. CONCLUSIONS/SIGNIFICANCE The present study demonstrated that the functional variant of the STON2 gene could alter cortical surface area on the right inferior temporal and contribute to the pathogenesis of schizophrenia.
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Moran ME, Hulshoff Pol H, Gogtay N. A family affair: brain abnormalities in siblings of patients with schizophrenia. ACTA ACUST UNITED AC 2013; 136:3215-26. [PMID: 23698280 DOI: 10.1093/brain/awt116] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Schizophrenia is a severe mental disorder that has a strong genetic basis. Converging evidence suggests that schizophrenia is a progressive neurodevelopmental disorder, with earlier onset cases resulting in more profound brain abnormalities. Siblings of patients with schizophrenia provide an invaluable resource for differentiating between trait and state markers, thus highlighting possible endophenotypes for ongoing research. However, findings from sibling studies have not been systematically put together in a coherent story across the broader age span. We review here the cortical grey matter abnormalities in siblings of patients with schizophrenia from childhood to adulthood, by reviewing sibling studies from both childhood-onset schizophrenia, and the more common adult-onset schizophrenia. When reviewed together, studies suggest that siblings of patients with schizophrenia display significant brain abnormalities that highlight both similarities and differences between the adult and childhood populations, with shared developmental risk patterns, and segregating trajectories. Based on current research it appears that the cortical grey matter abnormalities in siblings are likely to be an age-dependent endophenotype, which normalize by the typical age of onset of schizophrenia unless there has been more genetic or symptom burdening. With increased genetic burdening (e.g. discordant twins of patients) the grey matter abnormalities in (twin) siblings are progressive in adulthood. This synthesis of the literature clarifies the importance of brain plasticity in the pathophysiology of the illness, indicating that probands may lack protective factors critical for healthy development.
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Affiliation(s)
- Marcel E Moran
- 1 Child Psychiatry Branch, National Institute of Mental Health, NIH, Bethesda Maryland, USA
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Weisinger B, Greenstein D, Mattai A, Clasen L, Lalonde F, Feldman S, Miller R, Tossell JW, Vyas NS, Stidd R, David C, Gogtay N. Lack of gender influence on cortical and subcortical gray matter development in childhood-onset schizophrenia. Schizophr Bull 2013; 39:52-8. [PMID: 21613381 PMCID: PMC3523910 DOI: 10.1093/schbul/sbr049] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Progressive cortical gray matter (GM) abnormalities are an established feature of schizophrenia and are more pronounced in rare, severe, and treatment refractory childhood-onset schizophrenia (COS) cases. The effect of sex on brain development in schizophrenia is poorly understood and studies to date have produced inconsistent results. METHODS Using the largest to date longitudinal sample of COS cases (n = 104, scans = 249, Male/Female [M/F] = 57/47), we compared COS sex differences with sex differences in a sample of matched typically developing children (n = 104, scans = 244, M/F = 57/47), to determine whether or not sex had differential effects on cortical and subcortical brain development in COS. RESULTS Our results showed no significant differential sex effects in COS for either GM cortical thickness or subcortical volume development (sex × diagnosis × age interaction; false discovery rate q = 0.05). CONCLUSION Sex appears to play a similar role in cortical and subcortical GM development in COS as it does in normally developing children.
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Affiliation(s)
- Brian Weisinger
- Child Psychiatry Branch, National Institutes of Mental Health, 10/3N202, 10 Center Drive, Bethesda, MD, USA.
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Rapoport JL, Giedd JN, Gogtay N. Neurodevelopmental model of schizophrenia: update 2012. Mol Psychiatry 2012; 17:1228-38. [PMID: 22488257 PMCID: PMC3504171 DOI: 10.1038/mp.2012.23] [Citation(s) in RCA: 552] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Accepted: 02/13/2012] [Indexed: 02/06/2023]
Abstract
The neurodevelopmental model of schizophrenia, which posits that the illness is the end state of abnormal neurodevelopmental processes that started years before the illness onset, is widely accepted, and has long been dominant for childhood-onset neuropsychiatric disorders. This selective review updates our 2005 review of recent studies that have impacted, or have the greatest potential to modify or extend, the neurodevelopmental model of schizophrenia. Longitudinal whole-population studies support a dimensional, rather than categorical, concept of psychosis. New studies suggest that placental pathology could be a key measure in future prenatal high-risk studies. Both common and rare genetic variants have proved surprisingly diagnostically nonspecific, and copy number variants (CNVs) associated with schizophrenia are often also associated with autism, epilepsy and intellectual deficiency. Large post-mortem gene expression studies and prospective developmental multi-modal brain imaging studies are providing critical data for future clinical and high-risk developmental brain studies. Whether there can be greater molecular specificity for phenotypic characterization is a subject of current intense study and debate, as is the possibility of neuronal phenotyping using human pluripotent-inducible stem cells. Biological nonspecificity, such as in timing or nature of early brain development, carries the possibility of new targets for broad preventive treatments.
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Affiliation(s)
- J L Rapoport
- Child Psychiatry Branch, NIH, NIMH, Bethesda, MD 20892, USA.
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