Title |
Positive Classification Advantage: Tracing the Time Course Based on Brain Oscillation
|
---|---|
Published in |
Frontiers in Human Neuroscience, January 2018
|
DOI | 10.3389/fnhum.2017.00659 |
Pubmed ID | |
Authors |
Tianyi Yan, Xiaonan Dong, Nan Mu, Tiantian Liu, Duanduan Chen, Li Deng, Changming Wang, Lun Zhao |
Abstract |
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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