Abstract

Schizophrenia is characterized by dysconnectivity syndrome. Evidence of widespread impairment of structural and functional integration has been demonstrated in schizophrenia. Although white matter (WM) microstructural abnormalities have been commonly reported in schizophrenia, the dysfunction of WM as well as the relationship between structure and function in WM remains uncertain. In this study, we proposed a novel structure-function coupling measurement to reflect neuronal information transfer, which combined spatial-temporal correlations of functional signals with diffusion tensor orientations in the WM circuit from functional and diffusion magnetic resonance images (MRI). By analyzing MRI data from 75 individuals with schizophrenia (SZ) and 89 healthy volunteers (HV), the associations between structure and function in WM regions in schizophrenia were examined. Randomized validation of the measurement was performed in the HV group to confirm the capacity of the neural signal transferring along the WM tracts, referring to quantifying the association between structure and function. Compared to HV, SZ showed a widespread decrease in the structure-function coupling within WM regions, involving the corticospinal tract and the superior longitudinal fasciculus. Additionally, the structure-function coupling in the WM tracts was found to be significantly correlated with psychotic symptoms and illness duration in schizophrenia, suggesting that abnormal signal transfer of neuronal fiber pathways could be a potential mechanism of the neuropathology of schizophrenia. This work supports the dysconnectivity hypothesis of schizophrenia from the aspect of circuit function, and highlights the critical role of WM networks in the pathophysiology of schizophrenia.

Details

Title
Structure-function coupling in white matter uncovers the abnormal brain connectivity in Schizophrenia
Author
Zhao, Jiajia 1   VIAFID ORCID Logo  ; Huang, Chu-Chung 2   VIAFID ORCID Logo  ; Zhang, Yajuan 3 ; Liu, Yuchen 1 ; Tsai, Shih-Jen 4   VIAFID ORCID Logo  ; Lin, Ching-Po 5 ; Lo, Chun-Yi Zac 6   VIAFID ORCID Logo 

 Fudan University, Institute of Science and Technology for Brain-Inspired Intelligence, Shanghai, China (GRID:grid.8547.e) (ISNI:0000 0001 0125 2443) 
 East China Normal University, Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, Shanghai, China (GRID:grid.22069.3f) (ISNI:0000 0004 0369 6365); Shanghai Changning Mental Health Center, Shanghai, China (GRID:grid.410642.5) 
 ShanghaiTech University, School of Biomedical Engineering, Shanghai, China (GRID:grid.440637.2) (ISNI:0000 0004 4657 8879) 
 Taipei Veterans General Hospital, Department of Psychiatry, Taipei, Taiwan (GRID:grid.278247.c) (ISNI:0000 0004 0604 5314); National Yang Ming Chiao Tung University, Division of Psychiatry, Faculty of Medicine, Taipei, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017); National Yang Ming Chiao Tung University, Institute of Brain Science, Taipei, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017) 
 National Yang Ming Chiao Tung University, Institute of Neuroscience, Taipei, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017); Taipei City Hospital, Department of Education and Research, Taipei, Taiwan (GRID:grid.410769.d) (ISNI:0000 0004 0572 8156) 
 Chung Yuan Christian University, Department of Biomedical Engineering, Taoyuan, Taiwan (GRID:grid.411649.f) (ISNI:0000 0004 0532 2121) 
Pages
214
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2827822168
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.