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Research Article | Open Access

The altered network complexity of resting-state functional brain activity in schizophrenia and bipolar disorder patients

College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, Shanxi, China
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Okayama, Japan
Research Center for Medical Artificial Intelligence, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangzhou, China
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Abstract

Schizophrenia (SZ) and bipolar disorder (BD) are two of the most frequent mental disorders. These disorders exhibit similar psychotic symptoms, making diagnosis challenging and leading to misdiagnosis. Yet, the network complexity changes driving spontaneous brain activity in SZ and BD patients are still unknown. Functional entropy (FE) is a novel way of measuring the dispersion (or spread) of functional connectivities inside the brain. The FE was utilized in this study to examine the network complexity of the resting-state fMRI data of SZ and BD patients at three levels, including global, modules, and nodes. At three levels, the FE of SZ and BD patients was considerably lower than that of normal control (NC). At the intra-module level, the FE of SZ was substantially higher than that of BD in the cingulo-opercular network. Moreover, a strong negative association between FE and clinical measures was discovered in patient groups. Finally, we classified using the FE features and attained an accuracy of 66.7% (BD vs. SZ vs. NC) and an accuracy of 75.0% (SZ vs. BD). These findings proposed that network connectivity’s complexity analyses using FE can provide important insights for the diagnosis of mental illness.

Keywords

functional entropynetwork complexityschizophreniabipolar disorderresting-state fMRI

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Brain Science Advances
Volume 9 Issue 2,
June 2023
Pages 78-94
DOI: 10.26599/BSA.2023.9050007
Cite this article:
Niu Y, Zhang N, Zhou M, et al. The altered network complexity of resting-state functional brain activity in schizophrenia and bipolar disorder patients. Brain Science Advances, 2023, 9(2): 78-94. https://doi.org/10.26599/BSA.2023.9050007

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Received: 28 November 2022
Revised: 09 February 2023
Accepted: 01 March 2023
Published: 05 June 2023
© The authors 2023.

This article is published with open access at journals.sagepub.com/home/BSA

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
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