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Impaired Interactions Among White-Matter Functional Networks in Antipsychotic-Naive First-Episode Schizophrenia

42 Pages Posted: 23 May 2019

See all articles by Yun-Shuang Fan

Yun-Shuang Fan

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Zehan Li

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Jinming Xiao

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Xiaonan Guo

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Shaoqiang Han

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Jing Guo

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Siqi Yang

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Jiao Li

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Xujun Duan

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Qian Cui

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Wei Liao

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Huafu Chen

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute; University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine; University of Electronic Science and Technology of China (UESTC) - Key Laboratory for Neuroinformation of Ministry of Education

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Abstract

Background: Schizophrenia has been conceptualized as a disorder arising from structurally pathological alterations to white-matter fibers in the brain. However, few studies have focused on white-matter functional changes in schizophrenia. Considering that converging evidence suggests that white-matter resting state functional MRI (rsfMRI) signals can effectively depict neuronal activity and psychopathological status, this study examined white-matter network-level interactions in antipsychotic-naive first-episode schizophrenia (FES) to facilitate the interpretation of the psychiatric pathological mechanisms in schizophrenia.

Methods: We recruited a total of 106 participants from two independent cohorts including 55 FES patients (FESs) and 51 healthy controls (HCs), all of whom underwent rsfMRI. We identified 11 white-matter functional networks, which could be further classified into deep, middle, and superficial layers of networks. We then examined network-level interactions among these 11 white-matter functional networks using Granger causality analysis. We employed group comparisons on the influences among 11 networks using network-based statistic.

Outcomes: In the primary cohort, excitatory influences from the middle superior corona radiate network to the superficial orbitofrontal and deep networks were disrupted in FESs compared with HCs. Additionally, an extra failure of suppression within superficial networks (including the pre/post-central network, temporofrontal network, and the orbitofrontal network) was observed in FESs. Similar replication results of an independent sample further verified the middle network disengagement in the white-matter network interaction model of FES.

Interpretations: The novel findings of impaired interactions among white-matter functional networks in schizophrenia indicate that the pathophysiology of schizophrenia may also lie in white-matter functional abnormalities.

Funding Statement: This work was supported by the National Natural Science Foundation of China (61533006, 81471653, 81771919, 61673089 and U1808204), China Postdoctoral Science Foundation (2013M532229), Sichuan Science and Technology Program (2018TJPT0016), and the “111” project (B12027).

Declaration of Interests: The authors declare that they have no conflict of interest.

Ethics Approval Statement: This study was approved by the Ethics Committee of the Second Affiliated Hospital of Xinxiang Medical University, China.

Keywords: first-episode schizophrenia; functional networks; interactions; rsfMRI; white-matter

Suggested Citation

Fan, Yun-Shuang and Li, Zehan and Xiao, Jinming and Guo, Xiaonan and Han, Shaoqiang and Guo, Jing and Yang, Siqi and Li, Jiao and Duan, Xujun and Cui, Qian and Liao, Wei and Chen, Huafu, Impaired Interactions Among White-Matter Functional Networks in Antipsychotic-Naive First-Episode Schizophrenia (May 20, 2019). Available at SSRN: https://ssrn.com/abstract=3391378 or http://dx.doi.org/10.2139/ssrn.3391378

Yun-Shuang Fan

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Zehan Li

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Jinming Xiao

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Xiaonan Guo

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Shaoqiang Han

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Jing Guo

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Siqi Yang

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Jiao Li

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Xujun Duan

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Qian Cui

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine

Chengdu
China

Wei Liao

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute ( email )

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine ( email )

Chengdu
China

Huafu Chen (Contact Author)

University of Electronic Science and Technology of China (UESTC) - The Clinical Hospital of Chengdu Brain Science Institute ( email )

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Center for Information in Medicine ( email )

Chengdu
China

University of Electronic Science and Technology of China (UESTC) - Key Laboratory for Neuroinformation of Ministry of Education ( email )

Chengdu, 610054
China