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Qiu S, Luo X, Luo Y, Wei D, Mei G. State-dependent alterations of implicit emotional dominance during binocular rivalry in subthreshold depression. Psych J 2023; 12:809-823. [PMID: 37905936 DOI: 10.1002/pchj.686] [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: 12/31/2022] [Accepted: 08/14/2023] [Indexed: 11/02/2023]
Abstract
Binocular rivalry, a visual perception phenomenon where two or more percepts alternate every few seconds when distinct stimuli are presented to the two eyes, has been reported as a biomarker in several psychiatric disorders. It is unclear whether abnormalities of binocular rivalry in depression could occur when emotional rivaling stimuli are used, and if so, whether an emotional binocular rivalry test could provide a trait-dependent or state-dependent biomarker. In the current study, 34 individuals with subthreshold depression and 31 non-depressed individuals performed a binocular rivalry task associated with implicit emotional processing. Participants were required to report their perceived orientations of the rival gratings in the foreground and to neglect emotional face stimuli in the background. The participants were retested after an approximately 4-month time interval. Compared to the non-depressed group, the subthreshold depression group showed significantly longer perceptual dominance durations of the grating with emotional faces as the background (i.e., implicit emotional dominance) at the initial assessment. However, the abnormality was not found at the follow-up assessment. More importantly, we found smaller changes in depressive severity at the follow-up assessment for individuals displaying longer emotional dominance at the initial assessment than for individuals with weaker emotional dominance. The current emotional binocular rivalry test may provide an objective, state-dependent biomarker for distinguishing individuals with subthreshold depression from non-depressed individuals.
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Affiliation(s)
- Shiming Qiu
- School of Psychology, Guizhou Normal University, Guiyang, People's Republic of China
- School of Psychology, Central China Normal University, Wuhan, People's Republic of China
| | - Xu Luo
- School of Psychology, Guizhou Normal University, Guiyang, People's Republic of China
| | - Yuhong Luo
- School of Psychology, Guizhou Normal University, Guiyang, People's Republic of China
| | - Dandan Wei
- School of Psychology, Guizhou Normal University, Guiyang, People's Republic of China
| | - Gaoxing Mei
- School of Psychology, Guizhou Normal University, Guiyang, People's Republic of China
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2
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Yang K, Zeng Y, Tong L, Hu Y, Zhang R, Li Z, Yan B. Extremely negative emotion interferes with cognition: Evidence from ERPs and time-varying brain network. J Neurosci Methods 2023; 396:109922. [PMID: 37454701 DOI: 10.1016/j.jneumeth.2023.109922] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/20/2023] [Accepted: 07/13/2023] [Indexed: 07/18/2023]
Abstract
In recent years, the relationship between emotion and cognition was a hot topic. However, it remains unclear which specific emotions can significantly interfere with cognition and how they do so. In this study, we designed a novel Affective Stroop experiment paradigm to investigate these issues. The extremely negative (EN), moderately negative (MN), moderately positive (MP), extremely positive (EP) and neutral pictures were displayed before Stroop tasks. The behavioral results revealed that EN emotion significantly interfered with cognitive performance compared to other types of emotions, with a significant increase in reaction time under the EN emotion condition (P < 0.05). Furthermore, the dynamic brain mechanisms were analyzed from both Event-Related Potential (ERP) and time-varying brain network perspectives. Results showed that EN emotion evoked larger N2, P3, and LPP amplitudes in the frontal, parietal, and occipital brain regions. In contrast, the Stroop task under EN condition led to smaller N2, P3, and LPP amplitudes compared to neutral condition. This indicates that EN emotion was prioritized and consumed more cognitive resources relative to neutral emotion. During the P3 and LPP stages, we observed enhanced bottom-up connections between the parietal and frontal regions while the processing of EN emotion. Additionally, there were stronger top-down cognitive control connections from the frontal to the occipital regions while processing the Stroop task under EN condition. These findings consistently suggest that EN emotion interferes with cognition by consuming more cognitive resources, and the brain needs to enhance cognitive control to support Stroop task execution.
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Affiliation(s)
- Kai Yang
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China
| | - Ying Zeng
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China.
| | - Li Tong
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China
| | - Yidong Hu
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China
| | - Rongkai Zhang
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China
| | - Zhongrui Li
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China
| | - Bin Yan
- PLA Strategy Support Force Information Engineering University, Zhengzhou 450001, China.
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3
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Zhang X, Jia H, Wang E. Negative inhibition is poor in sub-threshold depression individuals: Evidence from ERP and a Go/No-go task. Psychiatry Res Neuroimaging 2023; 331:111638. [PMID: 37031674 DOI: 10.1016/j.pscychresns.2023.111638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/24/2023] [Accepted: 03/27/2023] [Indexed: 04/11/2023]
Abstract
In this study, Go/No-go task combined with ERP technology were used to explore the characteristics of negative emotion inhibition in SD and healthy individuals and whether there are differences between negative emotion inhibition and neutral emotion inhibition in SD. The results showed that SD showed the same poor negative inhibition as depressive patients in behavior, but there was no significant difference between SD and CG in ERPs. Overall, compared with neutral emotional information, negative emotional information would reduce attention control in conflict processing, lead to faster conflict processing, attract attention, occupy more cognitive resources, and be more difficult to inhibit. It is concluded that the negative attention bias of SD individuals is only reflected in the bottom-up stimulation processing, but has not developed into the top-down cognitive control, which also suggests that the corresponding intervention measures at the early stage of depression may have better effects.
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Affiliation(s)
- Xin Zhang
- Institute of Behavioral Psychology, Henan University, China
| | - Huibin Jia
- Institute of Behavioral Psychology, Henan University, China
| | - Enguo Wang
- Institute of Behavioral Psychology, Henan University, China.
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Hargitai LD, Livingston LA, Waldren LH, Robinson R, Jarrold C, Shah P. Attention-deficit hyperactivity disorder traits are a more important predictor of internalising problems than autistic traits. Sci Rep 2023; 13:31. [PMID: 36646771 PMCID: PMC9842645 DOI: 10.1038/s41598-022-26350-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 12/13/2022] [Indexed: 01/18/2023] Open
Abstract
Autism Spectrum Disorder (ASD) and Attention-Deficit Hyperactivity Disorder (ADHD) are both linked to internalising problems like anxiety and depression. ASD and ADHD also often co-occur, making their individual statistical contributions to internalising disorders difficult to investigate. To address this issue, we explored the unique associations of self-reported ASD traits and ADHD traits with internalising problems using a large general population sample of adults from the United Kingdom (N = 504, 49% male). Classical regression analyses indicated that both ASD traits and ADHD traits were uniquely associated with internalising problems. Dominance and Bayesian analyses confirmed that ADHD traits were a stronger, more important predictor of internalising problems. However, brief depression and anxiety measures may not provide a comprehensive index of internalising problems. Additionally, we focused on recruiting a sample that was representative of the UK population according to age and sex, but not ethnicity, a variable that may be linked to internalising disorders. Nevertheless, our findings indicate that while ASD and ADHD uniquely predict internalising problems, ADHD traits are a more important statistical predictor than ASD traits. We discuss potential mechanisms underlying this pattern of results and the implications for research and clinical practice concerning neurodevelopmental conditions.
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Affiliation(s)
- Luca D. Hargitai
- grid.7340.00000 0001 2162 1699Department of Psychology, University of Bath, Bath, BA2 7AY UK
| | - Lucy A. Livingston
- grid.5600.30000 0001 0807 5670Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK ,grid.13097.3c0000 0001 2322 6764Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Lucy H. Waldren
- grid.7340.00000 0001 2162 1699Department of Psychology, University of Bath, Bath, BA2 7AY UK
| | - Ross Robinson
- grid.7340.00000 0001 2162 1699Department of Psychology, University of Bath, Bath, BA2 7AY UK
| | - Christopher Jarrold
- grid.5337.20000 0004 1936 7603School of Psychological Science, University of Bristol, Bristol, BS8 1TU UK
| | - Punit Shah
- grid.7340.00000 0001 2162 1699Department of Psychology, University of Bath, Bath, BA2 7AY UK
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Dhami P, Quilty LC, Schwartzmann B, Uher R, Allen TA, Kloiber S, Lam RW, MacQueen G, Frey BN, Milev R, Müller DJ, Rotzinger S, Kennedy SH, Farzan F. Alterations in the neural correlates of affective inhibitory control following cognitive behavioral therapy for depression: A Canadian biomarker integration network for depression (CAN-BIND) study. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022. [DOI: 10.1016/j.jadr.2022.100413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022] Open
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Yu F, Huang Y, Chen T, Wang X, Guo Y, Fang Y, He K, Zhu C, Wang K, Zhang L. Repetitive transcranial magnetic stimulation promotes response inhibition in patients with major depression during the stop-signal task. J Psychiatr Res 2022; 151:427-438. [PMID: 35597226 DOI: 10.1016/j.jpsychires.2022.05.014] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 04/27/2022] [Accepted: 05/09/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Response inhibition (RI) deficit is an aspect of cognitive impairment in depressed individuals, but currently no effective treatment has been established. This study aimed to explore the effect of individualized repetitive transcranial magnetic stimulation (rTMS) targeting the left dorsolateral prefrontal cortex (lDLPFC)-nucleus accumbens (NAcc) network on RI in patients with major depressive disorder (MDD). METHODS Fourty-four patients diagnosed with MDD were randomized to receive 15 once-daily sessions of active (10 Hz, 100% of resting motor threshold) or sham rTMS within a double-blind, sham-controlled trial. We measured the efficacy of rTMS by the improvements in behavioral and neurological manifestations during the stop-signal task. The Hamilton Depression Rating Scale-17 items (HAMD-17) was used to assess depressive symptoms. We analyzed the differences in RI performance between MDD patients and 30 healthy controls (HCs) at baseline and assessed whether MDD patients who completed rTMS treatment had comparable RI ability to HCs. RESULTS At baseline, the depressed patients showed longer stop-signal response time (SSRT), smaller P3 amplitudes, and weaker theta-band power in successful stop trials (SSTs) than HCs. The active group exhibited RI ability comparable to that of HCs after rTMS treatment, but the improvements were not significant in the sham group. The active group showed significant remission in depression symptoms post-treatment compared to the sham group, and the changes in P3 amplitudes and theta-band power during SSTs were negatively correlated with the decrease of HAMD-17 scores. CONCLUSION The depressed patients have impaired RI and treatment with the individualized rTMS protocol may be an effective approach.
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Affiliation(s)
- Fengqiong Yu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Yunheng Huang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Tingting Chen
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Xin Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Yaru Guo
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | - Ya Fang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
| | | | - Chunyan Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Kai Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Lei Zhang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
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7
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Liang JN, Hu WT, Gu YT, Cheng TH, Geng JS, Wang KL, Wang LJ, Yao XR, Shen JF, Wang YY. Impairment of response inhibition to emotional face stimuli in individuals with subclinical depression. Psych J 2022; 11:327-334. [PMID: 35419989 DOI: 10.1002/pchj.548] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 12/16/2022]
Abstract
Response inhibition, a crucial component of executive function, is closely related to personal impulse control, social adaption, and mental health. Previous studies have found response inhibition deficit in patients with major depressive disorder, but whether it also exists in individuals with subclinical depression (SD) remains unclear. This study aimed to identify the ability of response inhibition to emotional face stimuli both under explicit and implicit conditions in individuals with SD. Thirty-six subclinical depressed college students and 39 healthy individuals were recruited and administered the non-emotional, explicit, and implicit emotional stop-signal tasks (SSTs). Mixed-model analyses of variance were used to analyze the differences between and within groups. In implicit emotional SST, the results showed a significant longer stop-signal response time, a shorter stop-signal delay time, a shorter go reaction time, and a similar proportion of stop success in the SD group compared to healthy controls. However, the above indices showed no significant difference between the two groups in the non-emotional SST and explicit emotional SST. These findings suggest a possible defect of response inhibition in implicit emotional processing in individuals with SD, which may potentially serve as a marker of susceptibility to depression and thus be applied to early screening and intervention for major depressive disorder.
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Affiliation(s)
- Jian-Ning Liang
- School of Psychology, Weifang Medical University, Weifang, China
| | - Wen-Ting Hu
- School of Psychology, Weifang Medical University, Weifang, China
| | - Yu-Ting Gu
- School of Psychology, Weifang Medical University, Weifang, China
| | - Tian-Hua Cheng
- School of Psychology, Weifang Medical University, Weifang, China
| | - Jia-Sen Geng
- School of Psychology, Weifang Medical University, Weifang, China
| | - Kui-Lai Wang
- School of Psychology, Weifang Medical University, Weifang, China
| | - Li-Jun Wang
- School of Psychology, Weifang Medical University, Weifang, China
| | - Xin-Ran Yao
- School of Psychology, Weifang Medical University, Weifang, China
| | - Jian-Fei Shen
- School of Psychology, Weifang Medical University, Weifang, China
| | - Yan-Yu Wang
- School of Psychology, Weifang Medical University, Weifang, China
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8
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Ahumada-Méndez F, Lucero B, Avenanti A, Saracini C, Muñoz-Quezada MT, Cortés-Rivera C, Canales-Johnson A. Affective modulation of cognitive control: A systematic review of EEG studies. Physiol Behav 2022; 249:113743. [DOI: 10.1016/j.physbeh.2022.113743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 01/24/2022] [Accepted: 02/11/2022] [Indexed: 10/19/2022]
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9
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Shimony O, Einav N, Bonne O, Jordan JT, Van Vleet TM, Nahum M. The association between implicit and explicit affective inhibitory control, rumination and depressive symptoms. Sci Rep 2021; 11:11490. [PMID: 34075112 PMCID: PMC8169859 DOI: 10.1038/s41598-021-90875-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Accepted: 05/19/2021] [Indexed: 11/09/2022] Open
Abstract
Inhibitory control underlies one's ability to maintain goal-directed behavior by inhibiting prepotent responses or ignoring irrelevant information. Recent models suggest that impaired inhibition of negative information may contribute to depressive symptoms, and that this association is mediated by rumination. However, the exact nature of this association, particularly in non-clinical samples, is unclear. The current study assessed the relationship between inhibitory control over emotional vs. non-emotional information, rumination and depressive symptoms. A non-clinical sample of 119 participants (mean age: 36.44 ± 11.74) with various levels of depressive symptoms completed three variations of a Go/No-Go task online; two of the task variations required either explicit or implicit processing of emotional expressions, and a third variation contained no emotional expressions (i.e., neutral condition). We found reductions in inhibitory control for participants reporting elevated symptoms of depression on all three task variations, relative to less depressed participants. However, for the task variation that required implicit emotion processing, depressive symptoms were associated with inhibitory deficits for sad and neutral, but not for happy expressions. An exploratory analysis showed that the relationship between inhibition and depressive symptoms occurs in part through trait rumination for all three tasks, regardless of emotional content. Collectively, these results indicate that elevated depressive symptoms are associated with both a general inhibitory control deficit, as well as affective interference from negative emotions, with implications for the assessment and treatment of mood disorders.
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Affiliation(s)
- Orly Shimony
- School of Occupational Therapy, Faculty of Medicine, The Hebrew University, Mount Scopus, PO Box 24026, 9124001, Jerusalem, Israel
| | - Noam Einav
- School of Occupational Therapy, Faculty of Medicine, The Hebrew University, Mount Scopus, PO Box 24026, 9124001, Jerusalem, Israel
| | - Omer Bonne
- Department of Psychiatry, Hebrew University-Hadassah Medical Center, Jerusalem, Israel
| | - Joshua T Jordan
- Department of Psychology, Dominican University of California, San Rafael, CA, USA
| | - Thomas M Van Vleet
- Department of Research & Development, Posit Science Corporation, San Francisco, CA, USA
| | - Mor Nahum
- School of Occupational Therapy, Faculty of Medicine, The Hebrew University, Mount Scopus, PO Box 24026, 9124001, Jerusalem, Israel.
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10
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Trait aggression affects the response inhibition to angry expressions: An event-related brain potential study. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2019.109553] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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11
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Jiang Y, Duan M, Chen X, Zhang X, Gong J, Dong D, Li H, Yi Q, Wang S, Wang J, Luo C, Yao D. Aberrant Prefrontal-Thalamic-Cerebellar Circuit in Schizophrenia and Depression: Evidence From a Possible Causal Connectivity. Int J Neural Syst 2018; 29:1850032. [PMID: 30149746 DOI: 10.1142/s0129065718500326] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Neuroimaging studies have suggested the presence of abnormalities in the prefrontal-thalamic-cerebellar circuit in schizophrenia (SCH) and depression (DEP). However, the common and distinct structural and causal connectivity abnormalities in this circuit between the two disorders are still unclear. In the current study, structural and resting-state functional magnetic resonance imaging (fMRI) data were acquired from 20 patients with SCH, 20 depressive patients and 20 healthy controls (HC). Voxel-based morphometry analysis was first used to assess gray matter volume (GMV). Granger causality analysis, seeded at regions with altered GMVs, was subsequently conducted. To discover the differences between the groups, ANCOVA and post hoc tests were performed. Then, the relationships between the structural changes, causal connectivity and clinical variables were investigated. Finally, a leave-one-out resampling method was implemented to test the consistency. Statistical analyses showed the GMV and causal connectivity changes in the prefrontal-thalamic-cerebellar circuit. Compared with HC, both SCH and DEP exhibited decreased GMV in middle frontal gyrus (MFG), and a lower GMV in MFG and medial prefrontal cortex (MPFC) in SCH than DEP. Compared with HC, both patient groups showed increased causal flow from the right cerebellum to the MPFC (common causal connectivity abnormalities). And distinct causal connectivity abnormalities (increased causal connectivity from the left thalamus to the MPFC in SCH than HC and DEP, and increased causal connectivity from the right cerebellum to the left thalamus in DEP than HC and SCH). In addition, the structural deficits in the MPFC and its causal connectivity from the cerebellum were associated with the negative symptom severity in SCH. This study found common/distinct structural deficits and aberrant causal connectivity patterns in the prefrontal-thalamic-cerebellar circuit in SCH and DEP, which may provide a potential direction for understanding the convergent and divergent psychiatric pathological mechanisms between SCH and DEP. Furthermore, concomitant structural and causal connectivity deficits in the MPFC may jointly contribute to the negative symptoms of SCH.
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Affiliation(s)
- Yuchao Jiang
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
| | - Mingjun Duan
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China.,† Department of psychiatry, Chengdu Mental Health Center, Chengdu, P. R. China
| | - Xi Chen
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
| | - Xingxing Zhang
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
| | - Jinnan Gong
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
| | - Debo Dong
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
| | - Hui Li
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China.,† Department of psychiatry, Chengdu Mental Health Center, Chengdu, P. R. China
| | - Qizhong Yi
- ‡ Psychological Medicine Center, The First Affiliated Hospital of Xinjiang, Medical University, Urumqi, P. R. China
| | - Shuya Wang
- § Biology Department, Emory University, Atlanta, GA, USA
| | - Jijun Wang
- ¶ Department of EEG Source Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, P. R. China
| | - Cheng Luo
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
| | - Dezhong Yao
- * The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of life Science and Technology, University of Electronic Science and Technology of China, Chengdu P. R. China
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