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Brain controllability and clinical relevance in schizophrenia

Published online by Cambridge University Press:  01 September 2022

Q. Li ,
L. Luo ,
W. You ,
Y. Wang ,
Y. Wang ,
Q. Gong  and
F. Li
Q. Li*
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
L. Luo
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
W. You
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
Y. Wang
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
Y. Wang
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
Q. Gong
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
F. Li
Affiliation:
West China hospital of Sichuan university, Radiology, Chengdu, China
*
*Corresponding author.

Abstract

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Introduction

Apart from the psychiatric symptoms, cognitive deficits are also the core symptoms of schizophrenia. Brain network control theory provided information on the role of a specific brain region in the cognitive control process, helping understand the neural mechanism of cognitive impairment in schizophrenia.

Objectives

To characterize the control properties of functional brain network in first-episode untreated patients with schizophrenia and the relationships between controllability and psychiatric symptoms, as well as exploring the predictive value of controllability in differentiating patients from healthy controls (HCs).

Methods

Average and modal controllability of brain networks were calculated and compared between 133 first-episode untreated patients with schizophrenia and 135 HCs. The associations between controllability and clinical symptoms were evaluated using sparse canonical correlation analysis. Support vector machine (SVM) and SVM-recursive feature elimination combined with the controllability were performed to establish the individual prediction model.

Results

Compared to HCs, the patients with schizophrenia showed increased average controllability and decreased modal controllability in dorsal anterior cingulate cortex (dACC). Brain controllability predominantly in somatomotor, default mode, and visual networks was associated with the positive symptomatology of schizophrenia. The established model could identify patients with an accuracy of 0.68. Furthermore, the most discriminative features were located in dACC, medial prefrontal lobe, precuneus and superior temporal gyrus.

Conclusions

Altered controllability in dACC may play a critical role in the neuropathological mechanisms of cognitive deficit in schizophrenia, which could drive the brain function to different states to cope with varied cognitive tasks. As symptom-related biomarkers, controllability could be also beneficial to individual prediction in schizophrenia.

Disclosure

No significant relationships.

Keywords

schizophréniaResting-state functional magnetic resonance imagingRecursive feature eliminationControllability
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S196
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), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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