W. You, China

West China Center of Medical Sciences, Sichuan University Huaxi MR Research Center

Presenter of 1 Presentation

Oral Communications (ID 1110) AS43. Schizophrenia and other psychotic disorders

O254 - Altered brain functional dynamics in auditory and visual networks in schizophrenia

Date
Sat, 10.04.2021
Session Time
07:00 - 21:00
Room
On Demand
Lecture Time
22:00 - 22:12
Presenter

ABSTRACT

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.

figure1. a. auditory network (aud), basal ganglia (bg), default mode network (dmn), executive control network (ecn), language network (lang), salience network (sal), sensorimotor network (sens) and visual network (vis).png

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).

figure 2. a. connectivity state statistics of mean dwell time and fraction of time (p<0.05, fdr corrected). b. the results illustrated the group differences of fc strength in state 1 and 3 (p<0.05, fdr corrected)..png

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

figure 3. spatial map of the components showed group difference in ec. szs showed increased temporal dynamics of ec in ic50 and ic51 involved in visual networks compared with controls (p=0.0286 and p=0.0286).png

Conclusions

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

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