Positive Classification Advantage: Tracing the Time Course Based on Brain Oscillation

被引：17
作者：
Yan, Tianyi [1 ]
Dong, Xiaonan [1 ]
Mu, Nan [1 ]
Liu, Tiantian [1 ]
Chen, Duanduan [1 ]
Deng, Li [2 ]
Wang, Changming [3 ]
Zhao, Lun [4 ]
机构：
[1] Beijing Inst Technol, Sch Life Sci, Beijing, Peoples R China
[2] Beijing Univ Posts & Telecommun, Beijing Key Lab Network Syst Architecture & Conve, Beijing, Peoples R China
[3] Capital Med Univ, Beijing Anding Hosp, Beijing Key Lab Mental Disorders, Beijing, Peoples R China
[4] Beijing Yiran Sunny Technol Co Ltd, Inst Brain Res, Beijing, Peoples R China
来源：
FRONTIERS IN HUMAN NEUROSCIENCE | 2018年 / 11卷
基金：
中国国家自然科学基金;
关键词：
positive classification; reaction times; brain oscillation; correlation; time intervals; EVENT-RELATED DESYNCHRONIZATION; EMOTIONAL FACIAL EXPRESSION; FRONTAL EEG ASYMMETRY; BETA OSCILLATIONS; SCHEMATIC FACES; ALPHA-BAND; SYNCHRONIZATION; RECOGNITION; INFORMATION; PERCEPTION;
D O I：
10.3389/fnhum.2017.00659
中图分类号：
Q189 [神经科学];
学科分类号：
071006 ;
摘要：
The present study aimed to explore the modulation of frequency bands (alpha, beta, theta) underlying the positive facial expressions classification advantage within different post-stimulus time intervals (100-200 ms, 200-300 ms, 300-400 ms). For this purpose, we recorded electroencephalogram (EEG) activity during an emotion discrimination task for happy, sad and neutral faces. The correlation between the non-phase-locked power of frequency bands and reaction times (RTs) was assessed. The results revealed that beta played a major role in positive classification advantage (PCA) within the 100-200 and 300-400 ms intervals, whereas theta was important within the 200-300 ms interval. We propose that the beta band modulated the neutral and emotional face classification process, and that the theta band modulated for happy and sad face classification.
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页数：9
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