Electroencephalographic microstate analysis of resting-state network imbalance in college students with high obsessive-compulsive tendency
10.3760/cma.j.cn371468-20240930-00452
- VernacularTitle:高强迫倾向大学生静息态网络失衡的脑电微状态分析
- Author:
Ke WAN
1
;
Yueling LIU
1
;
Chunyan ZHU
1
Author Information
1. 安徽医科大学精神卫生与心理科学学院，合肥 230032
- Publication Type:Journal Article
- Keywords:
Obsessive-compulsive symptoms;
Resting-state electroencephalographic;
Microstate;
Spectral decomposition;
College student
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2025;34(6):532-537
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the resting-state network(RSN) of college students with high obsessive-compulsive tendency by electroencephalographic (EEG) microstate analysis, with the aim of informing early identification and intervention of obsessive-compulsive disorder (OCD).Methods:From December 2021 to February 2022, a total of 687 college students from Anhui Medical University were investigated by obsessive-compulsive inventory-revised(OCI-R). Thirty students were selected as the high obsessive-compulsive tendency group (OCI-R>25) and thirty-two students were selected as the low obsessive-compulsive tendency group (OCI-R<15), and 4-minute resting-state EEG data were collected for all subjects. The collected EEG data were analyzed to explore the EEG microstate by spectral decomposition, and intergroup differences in different frequency bands were compared separately using Python (v3.9.0) permutation test for independent samples. Additionally, partial correlation analysis was performed between microstate parameters that exhibited significant between-group differences and symptom scale scores, controlling for age, gender and years of education.Results:(1) The scores of self-rating anxiety scale (37.77±6.01 vs 29.75±6.08), the self-rating depression scale (42.97±8.52 vs 32.78±6.61), OCI-R (34.07±7.10 vs 6.25±3.81), and the Padua inventory-Washington State University revision (56.70±12.98 vs 21.22±10.28) in high obsessive-compulsive tendency group were higher than those of the low obsessive-compulsive tendency group( t=5.215-19.401, all P<0.01). (2) EEG microstate analysis revealed that in the theta band, compared to the low obsessive-compulsive tendency group, the high obsessive-compulsive tendency group showed longer duration ((109.05±19.29)ms vs (100.86±12.02)ms) and higher coverage ((23.27±8.39)% vs (19.51±5.41)%) of microstate A, along with a lower occurrence of microstate B ((1.81±0.43)times/s vs (2.02±0.36)times/s), (all P<0.05). In the beta band, compared to the low obsessive-compulsive tendency group, the high obsessive-compulsive tendency group showed higher duration ((84.17±9.08)ms vs (79.52±5.92)ms) and coverage ((20.30±6.91)% vs (17.43±3.36)%) of microstate A (both P<0.05). (3) Correlation analysis showed that, in the theta band, both the duration and coverage of microstate A were positively correlated with the contamination/washing compulsions factor (CWCF) score ( r=0.482, P=0.011; r=0.406, P=0.035, respectively), while the occurrence of microstate B was negatively correlated with CWCF score ( r=-0.430, P=0.025). Conclusion:The duration and coverage of microstate A may be an early warning signal for the development of contamination/washing compulsions symptoms. In addition, the theta and beta bands are sensitive bands for obsessive-compulsive symptoms.
