The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study.

Autor: Qi S; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA., Bustillo J; Department of Psychiatry, University of New Mexico, Albuquerque, NM, 87131, USA., Turner JA; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA.; Department of Psychology, Georgia State University, Atlanta, GA, 30302, USA., Jiang R; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.; University of Chinese Academy of Sciences, 100190, Beijing, China., Zhi D; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China.; University of Chinese Academy of Sciences, 100190, Beijing, China., Fu Z; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA., Deramus TP; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA., Vergara V; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA., Ma X; Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China.; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China., Yang X; Psychiatric Laboratory and Mental Health Center, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, 610041, Chengdu, China.; Huaxi Brain Research Center, West China Hospital of Sichuan University, 610041, Chengdu, China., Stevens M; Olin Neuropsychiatry Research Center, Hartford, CT, 06106, USA., Zhuo C; Department of Psychiatry, Nankai University Affiliated Anding Hospital, 300222, Tianjin, China., Xu Y; Department of Humanities and Social Science, Shanxi Medical University, 030001, Taiyuan, China., Calhoun VD; Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, 30303, USA. vcalhoun@gsu.edu.; Department of Psychology, Georgia State University, Atlanta, GA, 30302, USA. vcalhoun@gsu.edu., Sui J; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China. jing.sui@nlpr.ia.ac.cn.; University of Chinese Academy of Sciences, 100190, Beijing, China. jing.sui@nlpr.ia.ac.cn.; Chinese Academy of Sciences Center for Excellence in Brain Science, Institute of Automation, 100190, Beijing, China. jing.sui@nlpr.ia.ac.cn.
Jazyk: angličtina
Zdroj: Translational psychiatry [Transl Psychiatry] 2020 May 18; Vol. 10 (1), pp. 149. Date of Electronic Publication: 2020 May 18.
DOI: 10.1038/s41398-020-0834-6
Abstrakt: Schizophrenia (SZ) is frequently concurrent with substance use, depressive symptoms, social communication and attention deficits. However, the relationship between common brain networks (e.g., SZ vs. substance use, SZ vs. depression, SZ vs. developmental disorders) with SZ on specific symptoms and cognition is unclear. Symptom scores were used as a reference to guide fMRI-sMRI fusion for SZ (n = 94), substance use with drinking (n = 313), smoking (n = 104), major depressive disorder (MDD, n = 260), developmental disorders with autism spectrum disorder (ASD, n = 421) and attention-deficit/hyperactivity disorder (ADHD, n = 244) respectively. Common brain regions were determined by overlapping the symptom-related components between SZ and these other groups. Correlation between the identified common brain regions and cognition/symptoms in an independent SZ dataset (n = 144) was also performed. Results show that (1): substance use was related with cognitive deficits in schizophrenia through gray matter volume (GMV) in anterior cingulate cortex and thalamus; (2) depression was linked to PANSS negative dimensions and reasoning in SZ through a network involving caudate-thalamus-middle/inferior temporal gyrus in GMV; (3) developmental disorders pattern was correlated with poor attention, speed of processing and reasoning in SZ through inferior temporal gyrus in GMV. This study reveals symptom driven transdiagnostic shared networks between SZ and other mental disorders via multi-group data mining, indicating that some potential common underlying brain networks associated with schizophrenia differently with respect to symptoms and cognition. These results have heuristic value and advocate specific approaches to refine available treatment strategies for comorbid conditions in schizophrenia.
Databáze: MEDLINE