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

Sheng，Dan1,2; Pu，Weidan3,4,5; Linli，Zeqiang1,2; Tian，Guo Liang6; Guo，Shuixia1,2; Fei，Yu7

2021

10.1017/S0033291721003895

PSYCHOLOGICAL MEDICINE   影响因子和分区

0033-2917

1469-8978

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.

Dynamic brain network dynamic functional connectivity Hilbert transform resting-state functional magnetic resonance imaging schizophrenia

SCI ; SSCI

英语

其他

National Natural Science Foundation of China (NSFC)[11771199,12171225,12071124,11971421,82171510] ; Postgraduate Scientific Research Innovation Project of Hunan Province[CX20200481]

Psychology ; Psychiatry

Psychology, Clinical ; Psychiatry ; Psychology

WOS:000785733600001

CAMBRIDGE UNIV PRESS

PSYCHIATRY/PSYCHOLOGY

2-s2.0-85116625388

Scopus

1.MOE-LCSM,School of Mathematics and Statistics,Hunan Normal University,Changsha,China
2.Key Laboratory of Applied Statistics and Data Science,Hunan Normal University,College of Hunan Province,Changsha,China
3.Medical Psychological Center,Second Xiangya Hospital,Central South University,Changsha,Hunan,China
4.China National Clinical Research Center for Mental Health Disorders,Changsha,China
5.College of Mechatronics and Automation,National University of Defense Technology,Changsha,China
6.Department of Statistics and Data Science,Southern University of Science and Technology,Shenzhen,China
7.School of Statistics and Mathematics,Yunnan University of Finance and Economics,Kunming,China

Sheng，Dan,Pu，Weidan,Linli，Zeqiang,et al. Aberrant global and local dynamic properties in schizophrenia with instantaneous phase method based on Hilbert transform[J]. PSYCHOLOGICAL MEDICINE,2021,53(5).

Sheng，Dan,Pu，Weidan,Linli，Zeqiang,Tian，Guo Liang,Guo，Shuixia,&Fei，Yu.(2021).Aberrant global and local dynamic properties in schizophrenia with instantaneous phase method based on Hilbert transform.PSYCHOLOGICAL MEDICINE,53(5).

Sheng，Dan,et al."Aberrant global and local dynamic properties in schizophrenia with instantaneous phase method based on Hilbert transform".PSYCHOLOGICAL MEDICINE 53.5(2021).