1
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Takamiya A, Kishimoto T, Mimura M. What Can We Tell About the Effect of Electroconvulsive Therapy on the Human Hippocampus? Clin EEG Neurosci 2023; 54:584-593. [PMID: 34547937 DOI: 10.1177/15500594211044066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Electroconvulsive therapy (ECT) is the most effective antidepressant treatment, although its mechanisms of action remain unclear. Since 2010, several structural magnetic resonance imaging studies based on a neuroplastic hypothesis have consistently reported increases in the hippocampal volume following ECT. Moreover, volume increases in the human dentate gyrus, where neurogenesis occurs, have also been reported. These results are in line with the preclinical findings of ECT-induced neuroplastic changes, including neurogenesis, gliogenesis, synaptogenesis, and angiogenesis, in rodents and nonhuman primates. Despite this robust evidence of an effect of ECT on hippocampal plasticity, the clinical relevance of these human hippocampal changes continues to be questioned. This narrative review summarizes recent findings regarding ECT-induced hippocampal volume changes. Furthermore, this review also discusses methodological considerations and future directions in this field.
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Affiliation(s)
- Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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2
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Kraaijenvanger EJ, Banaschewski T, Eickhoff SB, Holz NE. A coordinate-based meta-analysis of human amygdala connectivity alterations related to early life adversities. Sci Rep 2023; 13:16541. [PMID: 37783710 PMCID: PMC10545708 DOI: 10.1038/s41598-023-43057-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 09/19/2023] [Indexed: 10/04/2023] Open
Abstract
By affecting core neurobiological systems early in development, early life adversities (ELAs) might confer latent vulnerability to future psychopathologies. This coordinate-based meta-analysis aims to identify significant convergent alterations in functional connectivity of the amygdala related to ELAs across resting-state and task-based fMRI-studies. Five electronic databases were systematically searched until 22 October 2020, retrieving 49 eligible studies (n = 3162 participants). Convergent alterations in functional connectivity related to ELAs between the amygdala and the anterior cingulate cortex (ACC) and left hippocampus were found. Sub-analyses based on hemisphere and direction showed that connectivity seeded in the right amygdala was affected and, moreover, revealed that connectivity with ACC was decreased. Analyses based on paradigm and age showed that amygdala-ACC coupling was altered during resting state and that amygdala-left hippocampus connectivity was mostly affected during task-based paradigms and in adult participants. While both regions showed altered connectivity during emotion processing and following adverse social postnatal experiences such as maltreatment, amygdala-ACC coupling was mainly affected when ELAs were retrospectively assessed through self-report. We show that ELAs are associated with altered functional connectivity of the amygdala with the ACC and hippocampus. As such, ELAs may embed latent vulnerability to future psychopathologies by systematically affecting important neurocognitive systems.
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Affiliation(s)
- Eline J Kraaijenvanger
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, 68159, Mannheim, Germany
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, 68159, Mannheim, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Nathalie E Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, J5, 68159, Mannheim, Germany.
- Donders Institute, Radboud University, Nijmegen, The Netherlands.
- Radboud University Medical Centre, Nijmegen, The Netherlands.
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3
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Ji GJ, Li J, Liao W, Wang Y, Zhang L, Bai T, Zhang T, Xie W, He K, Zhu C, Dukart J, Baeken C, Tian Y, Wang K. Neuroplasticity-Related Genes and Dopamine Receptors Associated with Regional Cortical Thickness Increase Following Electroconvulsive Therapy for Major Depressive Disorder. Mol Neurobiol 2023; 60:1465-1475. [PMID: 36469225 DOI: 10.1007/s12035-022-03132-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 11/08/2022] [Indexed: 12/08/2022]
Abstract
Electroconvulsive therapy (ECT) is an effective neuromodulatory therapy for major depressive disorder (MDD). Treatment is associated with regional changes in brain structure and function, indicating activation of neuroplastic processes. To investigate the underlying neurobiological mechanism of macroscopic reorganization following ECT, we longitudinally (before and after ECT in two centers) collected magnetic resonance images for 96 MDD patients. Similar patterns of cortical thickness (CT) changes following ECT were observed in two centers. These CT changes were spatially colocalized with a weighted combination of genes enriched for neuroplasticity-related ontology terms and pathways (e.g., synaptic pruning) as well as with a higher density of D2/3 dopamine receptors. A multiple linear regression model indicated that the region-specific gene expression and receptor density patterns explained 40% of the variance in CT changes after ECT. In conclusion, these findings suggested that dopamine signaling and neuroplasticity-related genes are associated with the ECT-induced morphological reorganization.
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Affiliation(s)
- Gong-Jun Ji
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China.
| | - Jiao Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610000, China.,MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610000, China
| | - Wei Liao
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610000, China.,MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610000, China
| | - Yingru Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Lei Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Tongjian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Ting Zhang
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China.,Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wen Xie
- Department of Psychiatry, Anhui Mental Health Center, Hefei, 230022, China
| | - Kongliang He
- Department of Psychiatry, Anhui Mental Health Center, Hefei, 230022, China
| | - Chuyan Zhu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behaviour, Research Centre Jülich, INM-7), Jülich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40210, Düsseldorf, Germany
| | - Chris Baeken
- Experimental Psychiatry Lab, Department of Head and Skin, Ghent University, Ghent, Belgium.,Department of Psychiatry, Free University Brussels, Brussels, Belgium.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Yanghua Tian
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University , Hefei, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China. .,Anhui Institute of Translational Medicine, Hefei, China.
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4
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Daniel PM, Schälte G, Grözinger M. Cerebral oxygen saturation in the prefrontal cortex during electroconvulsive therapy and its relation with the postictal reorientation time. J Psychiatr Res 2022; 155:10-16. [PMID: 35969960 DOI: 10.1016/j.jpsychires.2022.07.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 06/08/2022] [Accepted: 07/20/2022] [Indexed: 10/31/2022]
Abstract
The therapeutic effect of Electroconvulsive Therapy (ECT) has been attributed to generalised seizure. Although patients are well oxygenated prior to and during treatment, critics have associated ECT with brain tissue hypoxemia. In this study, the regional oxygen saturation (rSO2) was measured continuously during ECT in the prefrontal cortex (PFC) of both hemispheres using 2-channel Near Infrared Spectroscopy (NIRS). Additionally, the postictal reorientation time (PRT) was determined and related to the rSO2 course. We evaluated 72 ECT treatments in 22 adult patients who were treated for a therapy-resistant depressive syndrome. The therapy was performed according to our standard clinical procedures deploying right unilateral (RUL) and left anterior versus right temporal (LART) electrode placements. According to our results, the rSO2 courses showed an increase during hyperventilation, a sharp drop immediately after the stimulus, and a long recovery period with values far exceeding the baseline. In 55,6% of treatments the rSO2 course stayed above the baseline. In the others, the drop fell below it for an average of 12.6 s. According to a cardio surgical standard no signs of hypoxemia occurred during ECT treatments. The rSO2 drop at seizure onset was the only parameter of the oxygen course related to the PRT in the multivariate analysis and might therefore be a characteristic feature of the seizure. It could reflect its physiological intensity and thereby be involved in the mechanism of action of ECT. NIRS seems to be an interesting non-invasive tool for monitoring and studying ECT.
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Affiliation(s)
- Pascal Michael Daniel
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Gereon Schälte
- Department of Anaesthesiology, Medical Faculty, RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Michael Grözinger
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
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5
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Brosch K, Stein F, Schmitt S, Pfarr JK, Ringwald KG, Thomas-Odenthal F, Meller T, Steinsträter O, Waltemate L, Lemke H, Meinert S, Winter A, Breuer F, Thiel K, Grotegerd D, Hahn T, Jansen A, Dannlowski U, Krug A, Nenadić I, Kircher T. Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders. Mol Psychiatry 2022; 27:4234-4243. [PMID: 35840798 PMCID: PMC9718668 DOI: 10.1038/s41380-022-01687-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 06/22/2022] [Accepted: 06/27/2022] [Indexed: 02/07/2023]
Abstract
Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia spectrum disorder (SSD, schizophrenia, and schizoaffective disorder) overlap in symptomatology, risk factors, genetics, and other biological measures. Based on previous findings, it remains unclear what transdiagnostic regional gray matter volume (GMV) alterations exist across these disorders, and with which factors they are associated. GMV (3-T magnetic resonance imaging) was compared between healthy controls (HC; n = 110), DSM-IV-TR diagnosed MDD (n = 110), BD (n = 110), and SSD patients (n = 110), matched for age and sex. We applied a conjunction analysis to identify shared GMV alterations across the disorders. To identify potential origins of identified GMV clusters, we associated them with early and current risk and protective factors, psychopathology, and neuropsychology, applying multiple regression models. Common to all diagnoses (vs. HC), we identified GMV reductions in the left hippocampus. This cluster was associated with the neuropsychology factor working memory/executive functioning, stressful life events, and with global assessment of functioning. Differential effects between groups were present in the left and right frontal operculae and left insula, with volume variances across groups highly overlapping. Our study is the first with a large, matched, transdiagnostic sample to yield shared GMV alterations in the left hippocampus across major mental disorders. The hippocampus is a major network hub, orchestrating a range of mental functions. Our findings underscore the need for a novel stratification of mental disorders, other than categorical diagnoses.
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Affiliation(s)
- Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany. .,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.
| | - Frederike Stein
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Simon Schmitt
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany ,grid.10423.340000 0000 9529 9877Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover, Germany
| | - Julia-Katharina Pfarr
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Kai G. Ringwald
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Florian Thomas-Odenthal
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Tina Meller
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Olaf Steinsträter
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.10253.350000 0004 1936 9756Core-Facility BrainImaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Lena Waltemate
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.5949.10000 0001 2172 9288Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Alexandra Winter
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Breuer
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Andreas Jansen
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany ,grid.10253.350000 0004 1936 9756Core-Facility BrainImaging, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Udo Dannlowski
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.10388.320000 0001 2240 3300Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Igor Nenadić
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps-University Marburg, University Hospital Marburg, UKGM, Marburg, Germany ,grid.513205.0Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
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6
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Hu Q, Huang H, Jiang Y, Jiao X, Zhou J, Tang Y, Zhang T, Sun J, Yao D, Luo C, Li C, Wang J. Temporoparietal Connectivity Within Default Mode Network Associates With Clinical Improvements in Schizophrenia Following Modified Electroconvulsive Therapy. Front Psychiatry 2021; 12:768279. [PMID: 35058815 PMCID: PMC8763790 DOI: 10.3389/fpsyt.2021.768279] [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: 09/02/2021] [Accepted: 12/02/2021] [Indexed: 12/19/2022] Open
Abstract
Although modified electroconvulsive therapy (ECT) has been reported to be effective for the treatment of schizophrenia (SCZ), its action mechanism is unclear. To elucidate the underlying ECT mechanisms of SCZ, this study used a longitudinal cohort including 21 SCZ patients receiving only antipsychotics (DSZ group) and 21 SCZ patients receiving a regular course of ECT combining with antipsychotics (MSZ group) for 4 weeks. All patients underwent magnetic resonance imaging (MRI) scans at baseline (t1) and follow-up (t2) time points. A matched healthy control (HC) group included 23 individuals who were only scanned at baseline. Functional connectivity (FC) within the default mode network (DMN) was evaluated before and after ECT. Significant interaction of the group over time was found in FC between angular gyrus (AG) and middle temporal gyrus (MTG). Post-hoc analysis showed a significantly enhanced FC of left AG(AG.L) and right MTG (MTG.R) in the MSZ group relative to the DSZ group. In addition, the right AG (AG.R) showed significantly enhanced FC between MTG.R and left MTG (MTG.L) after ECT in the MSZ group, but no in the DSZ group. In particular, the FCs change in AG.L-MTG.R and AG.R-MTG.R were positively correlated with the Positive and Negative Syndrome Scale (PANSS) negative score reduction. Furthermore, the FC change in AG.L-MTG.R was also positively correlated with the PANSS general psychopathology score reduction. These findings confirmed a potential relationship between ECT inducing hyperconnectivity within DMN and improvements in symptomatology of SCZ, suggesting that ECT controls mental symptoms by regulating the temporoparietal connectivity within DMN.
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Affiliation(s)
- Qiang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huan Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuchao Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiong Jiao
- School of BIomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zhou
- School of BIomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junfeng Sun
- School of BIomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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