Multiscale Permutation Time Irreversibility Analysis of MEG in Patients with Schizophrenia.

Dengxuan Bai, Muxuan Xue, Yining Wang, Zhen Zhang, Xiaoli Chen, Wenpo Yao, Jun Wang

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Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Dengxuan BaiInstitute of Intelligent Information, Hexi University, Zhangye 734000, China.ORCID 0000-0002-1359-4819

Muxuan XueCollege of Physics and Electromechanical Engineering, Hexi University, Zhangye 734000, China.

Yining WangCollege of Physics and Electromechanical Engineering, Hexi University, Zhangye 734000, China.

Zhen ZhangCollege of Physics and Electromechanical Engineering, Hexi University, Zhangye 734000, China.

Xiaoli ChenCollege of Physics and Electromechanical Engineering, Hexi University, Zhangye 734000, China.

Wenpo YaoSchool of Chemistry and Life Sciences, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.ORCID 0000-0002-7342-781X

Jun WangSmart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210023, China.

Funding

the College Students' Innovation Training Program S202510740053the Doctoral Research Initiation Fund Project of Hexi University KYQD2024011the National Natural Science Foundation of China 62461021the Support Program for Young PhDs in Gansu Universities 2024QB-109

6 · The paper itself

Abstract

The use of questionnaire survey results as a clinical diagnostic method for schizophrenia lacks a certain degree of objectivity; thus, markers of schizophrenia in different brain signals have been widely investigated. The objective of this investigation was to explore potential markers of schizophrenia by investigating nonequilibrium features in magnetoencephalography (MEG) signals. We propose a new method to quantify the nonequilibrium features of MEG signals: the multiscale permutation time irreversibility (MsPTIRR) index. The results revealed that the MsPTIRR indices of the MEG recordings of patients with schizophrenia were significantly lower than those of the healthy controls (HCs). Moreover, the MsPTIRR indices of the MEG recordings of patients with schizophrenia and HCs differed significantly in the frontal, occipital, and temporal lobe regions. Furthermore, the MsPTIRR indices of the MEG recordings differed significantly between patients with schizophrenia and HCs in the θ, α and β bands. Abnormal nonequilibrium features mined in MEG recordings using the MsPTIRR index may be used as potential markers for schizophrenia, assisting in the clinical diagnosis of this disorder.

Indexed as

magnetoencephalographymultiscalenonequilibriumschizophreniatime irreversibility

Identifiers

PMID41148996

DOI10.3390/e27101038

PMCPMC12563511

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LicenceCC BY

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