2020
DOI: 10.3390/brainsci10090640
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Global Neural Activities Changes under Human Inhibitory Control Using Translational Scenario

Abstract: This study presents a new approach to exploring human inhibition in a realistic scenario. In previous inhibition studies, the stimulus design of go/no-go task generally used a simple symbol for the go and stop signals. We can understand the neural activity of inhibition through simple symbol scenario. In the real world, situations of human inhibition are more complex than performing an experiment in the laboratory scale. How to explore the neural activities of inhibition in a realistic environment is more comp… Show more

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Cited by 4 publications
(4 citation statements)
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“…The ERSP has a strong ability to detect the time-related shift of the spectral powers from the baseline in a speci c frequency [22][23][24][25] . Further, this analysis allows extracting information about the time course of power changes in each frequency under speci c tasks including auditory stimuli, attention, and cognitive processes 26,27 and hyperactive state of the brain with seizure or epileptic spasms in previous studies 28, 29 .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The ERSP has a strong ability to detect the time-related shift of the spectral powers from the baseline in a speci c frequency [22][23][24][25] . Further, this analysis allows extracting information about the time course of power changes in each frequency under speci c tasks including auditory stimuli, attention, and cognitive processes 26,27 and hyperactive state of the brain with seizure or epileptic spasms in previous studies 28, 29 .…”
Section: Discussionmentioning
confidence: 99%
“…where F k (f, t) is the spectral estimate of trial k at frequency f and time t. The averaged each frequency ERSP including delta (0.5-4 Hz), theta (5-7 Hz), alpha (8-14 Hz), beta (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29), and gamma (30-100 Hz) extracted from the C3 and C4 electrodes of 10 epochs were calculated.…”
Section: Spectral Power Analysis (Power Spectral Density)mentioning
confidence: 99%
“…The ERSP has a strong ability to detect the time-related shift of the spectral powers from the baseline in a specific frequency 22 – 25 . Further, this analysis allows extracting information about the time course of power changes in each frequency under specific tasks including auditory stimuli, attention, and cognitive processes 26 , 27 and hyperactive state of the brain with seizure or epileptic spasms in previous studies 28 , 29 .…”
Section: Discussionmentioning
confidence: 99%
“…The ERSP has a strong ability to detect the time-related shift of the spectral powers from the baseline in a speci c frequency [28][29][30][31]. Further, this analysis allows extracting information about the time course of power changes in each frequency under speci c tasks including auditory stimuli, attention, and cognitive processes [32,33] and hyperactive state of the brain with seizure or epileptic spasms in previous studies [34,35].…”
Section: Discussionmentioning
confidence: 99%