標題: Modulation of the Visual to Auditory Human Inhibitory Brain Network: An EEG Dipole Source Localization Study
作者: Chikara, Rupesh Kumar
Ko, Li-Wei
交大名義發表
生物科技學系
生物資訊及系統生物研究所
National Chiao Tung University
Department of Biological Science and Technology
Institude of Bioinformatics and Systems Biology
關鍵字: electroencephalography;independent component analysis;dipole analysis;EEG-coherence;brain connectivity;right cingulate gyrus;response inhibition
公開日期: 1-Sep-2019
摘要: Auditory alarms are used to direct people's attention to critical events in complicated environments. The capacity for identifying the auditory alarms in order to take the right action in our daily life is critical. In this work, we investigate how auditory alarms affect the neural networks of human inhibition. We used a famous stop-signal or go/no-go task to measure the effect of visual stimuli and auditory alarms on the human brain. In this experiment, go-trials used visual stimulation, via a square or circle symbol, and stop trials used auditory stimulation, via an auditory alarm. Electroencephalography (EEG) signals from twelve subjects were acquired and analyzed using an advanced EEG dipole source localization method via independent component analysis (ICA) and EEG-coherence analysis. Behaviorally, the visual stimulus elicited a significantly higher accuracy rate (96.35%) than the auditory stimulus (57.07%) during inhibitory control. EEG theta and beta band power increases in the right middle frontal gyrus (rMFG) were associated with human inhibitory control. In addition, delta, theta, alpha, and beta band increases in the right cingulate gyrus (rCG) and delta band increases in both right superior temporal gyrus (rSTG) and left superior temporal gyrus (lSTG) were associated with the network changes induced by auditory alarms. We further observed that theta-alpha and beta bands between lSTG-rMFG and lSTG-rSTG pathways had higher connectivity magnitudes in the brain network when performing the visual tasks changed to receiving the auditory alarms. These findings could be useful for further understanding the human brain in realistic environments.
URI: http://dx.doi.org/10.3390/brainsci9090216
http://hdl.handle.net/11536/153065
DOI: 10.3390/brainsci9090216
期刊: BRAIN SCIENCES
Volume: 9
Issue: 9
起始頁: 0
結束頁: 0
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