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Aberrant global and local dynamic properties in schizophrenia with instantaneous phase method based on Hilbert transform

Published online by Cambridge University Press:  30 September 2021

Dan Sheng
Affiliation:
MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, PR China Key Laboratory of Applied Statistics and Data Science, Hunan Normal University, College of Hunan Province, Changsha, PR China
Weidan Pu
Affiliation:
Medical Psychological Center, the Second Xiangya Hospital, Central South University, Changsha, Hunan, PR China China National Clinical Research Center for Mental Health Disorders, Changsha, PR China College of Mechatronics and Automation, National University of Defense Technology, Changsha, PR China
Zeqiang Linli
Affiliation:
MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, PR China Key Laboratory of Applied Statistics and Data Science, Hunan Normal University, College of Hunan Province, Changsha, PR China
Guo-Liang Tian
Affiliation:
Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, PR China
Shuixia Guo*
Affiliation:
MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, PR China Key Laboratory of Applied Statistics and Data Science, Hunan Normal University, College of Hunan Province, Changsha, PR China
Yu Fei*
Affiliation:
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, PR China
*
Author for correspondence: Shuixia Guo, E-mail: guoshuixia75@163.com; Yu Fei, E-mail: feiyu@ynufe.edu.cn
Author for correspondence: Shuixia Guo, E-mail: guoshuixia75@163.com; Yu Fei, E-mail: feiyu@ynufe.edu.cn

Abstract

Background

Emerging functional imaging studies suggest that schizophrenia is associated with aberrant spatiotemporal interaction which may result in aberrant global and local dynamic properties.

Methods

We investigated the dynamic functional connectivity (FC) by using instantaneous phase method based on Hilbert transform to detect abnormal spatiotemporal interaction in schizophrenia. Based on resting-state functional magnetic resonance imaging, two independent datasets were included, with 114 subjects from COBRE [51 schizophrenia patients (SZ) and 63 healthy controls (HCs)] and 96 from OpenfMRI (36 SZ and 60 HCs). Phase differences and instantaneous coupling matrices were firstly calculated at all time points by extracting instantaneous parameters. Global [global synchrony and intertemporal closeness (ITC)] and local dynamic features [strength of FC (sFC) and variability of FC (vFC)] were compared between two groups. Support vector machine (SVM) was used to estimate the ability to discriminate two groups by using all aberrant features.

Results

We found SZ had lower global synchrony and ITC than HCs on both datasets. Furthermore, SZ had a significant decrease in sFC but an increase in vFC, which were mainly located at prefrontal cortex, anterior cingulate cortex, temporal cortex and visual cortex or temporal cortex and hippocampus, forming significant dynamic subnetworks. SVM analysis revealed a high degree of balanced accuracy (85.75%) on the basis of all aberrant dynamic features.

Conclusions

SZ has worse overall spatiotemporal stability and extensive FC subnetwork lesions compared to HCs, which to some extent elucidates the pathophysiological mechanism of schizophrenia, providing insight into time-variation properties of patients with other mental illnesses.

Type
Original Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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Footnotes

*

Contributed equally to this work.

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