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Altered brain functional dynamics in auditory and visual networks in schizophrenia

Published online by Cambridge University Press:  13 August 2021

W.F. You ,
L. Luo ,
F. Li  and
Q. Gong
W.F. You*
Affiliation:
Huaxi Mr Research Center, West China Center of Medical Sciences, Sichuan University, Chengdu City, Sichuan Province, China
L. Luo
Affiliation:
Huaxi Mr Research Center, West China Center of Medical Sciences, Sichuan University, Chengdu City, Sichuan Province, China
F. Li
Affiliation:
Huaxi Mr Research Center, West China Center of Medical Sciences, Sichuan University, Chengdu City, Sichuan Province, China
Q. Gong
Affiliation:
Huaxi Mr Research Center, West China Center of Medical Sciences, Sichuan University, Chengdu City, Sichuan Province, China
*
*Corresponding author.

Abstract

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Introduction

One of the most perplexing and characteristic symptoms of the schizophrenia (SZ) patients is hallucination. The occurrence of hallucinations to be associated with altered activity in the auditory and visual cortex but is not well understood from the brain functional network dynamics in SZ.

Objectives

To explore the brain abnormal basis of hallucinations in SZ with the dynamic functional connectivity (dFC).

Methods

Using magnetic resonance imaging for 83 SZ patients and 83 matched healthy controls and independent component analysis, 52 independent components (ICs) were identified as nodes and assigned into eight intrinsic connectivity networks (Figure 1A). Subsequently, we established dFC matrices and clustered them into four discrete states (Figure 1B) and three state transition metrics were obtained. To further explore the changes in the centrality of each component, eigenvector centrality (EC) was calculated and its time-varying was evaluated.

Results

Compared to controls with FDR correction, we found that patients had more mean dwell times and fractional time in state 1 (P=0.0081 and P=0.0018), mainly with hypoconnectivity between auditory and visual network and other networks and hyperconnectivity between language and default-mode network (DMN). While, patients had less dwell times and fractional time in state 3 (P=0.0018 and P=0.0009), and decreased FC between visual network and executive control network (ECN) and increased FC between ECN and DMN than controls (Figure 2).

EC statistics showed that SZs displayed increased temporal dynamics in visual-related regions (Figure 3).

Conclusions

SZ was mainly manifested as altered dFC and temporal variability of nodal centrality in auditory and visual networks.

Disclosure

No significant relationships.

Keywords

hallucinationdynamic functional connectivityeigenvector centralityschizophrénia
Type
Abstract
Information
European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S159
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
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