Power spectrum study of EEG resting-state in students with high trait anxiety
10.16835/j.cnki.1000-9817.2020.06.022
- VernacularTitle:高特质焦虑大学生静息态功率谱研究
- Author:
JIANG Yuanyuan, LUO Yanyan, ZHANG Meng, LI Shuanrong, LIU Rui, CHANG Hongjuan, YU Xiaojing
1
Author Information
1. Nursing College of Xinxiang Medical University, Xinxiang(453003), Henan Province, China
- Publication Type:Journal Article
- Keywords:
Anxiety;
Mental health;
Brain;
Students;
Electroencephalography
- From:
Chinese Journal of School Health
2020;41(6):882-885
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigats the specific changes of brain neuron oscillation in non-clinical high-trait anxiety college students by recording the resting state EEG of high and low trait anxiety subjects.
Methods:College students in a university were administered by using the S-TA Inventory, 27% of the number of people before and after the selection were divided into low-specific focus group (15) and high-trait anxiety group(15), based on the STAT score. After pre-processing, the data was divided into five frequency bands of δ(1-<4), θ(4-<8), α(8-<13), β(13-<30), γ(30-100)Hz and every electrode power value of those was calculated respectively. Correlation between power spectrum and trait anxiety scores was investigated.
Results:The high-trait anxiety group were in the frontal and central regions (t=3.47, 2.62) of the δ band, the frontal region (t=2.22) of the θ band, the frontal, central, right temporal, and posterior regions (t=2.77, 2.23, 3.65, 2.35) of the β band, the frontal, left temporal, central, right temporal, and posterior regions (t=2.83, 2.22, 2.64, 2.43, 2.09) of the γ band, than that in the low trait anxiety group. Furthermore, in central regions of the δ band; the frontal region of the θ band; the frontal, the central, and posterior regions of the β band; the frontal, left temporal, central, and posterior regions(r=-0.63, -0.51, -0.62, -0.53, -0.54, -0.59, -0.56, -0.55, -0.49) of the γ band, the correlation between trait anxiety scores and the power value were obvious negatively.
Conclusion:High trait anxiety college students have lower power spectrum than low trait anxiety college students. The degree of trait anxiety is related to the power spectrum. The changes of brain resting-state electrical signals in high-trait anxiety individuals may be related to the influence of trait anxiety on college students’ attention and working memory.
