scholarly journals Independent component analysis of functional networks for response inhibition: Inter-subject variation in stop signal reaction time

2015 ◽  
Vol 36 (9) ◽  
pp. 3289-3302 ◽  
Author(s):  
Sheng Zhang ◽  
Shang-Jui Tsai ◽  
Sien Hu ◽  
Jiansong Xu ◽  
Herta H. Chao ◽  
...  
Keyword(s):  
Reaction Time ◽  
Independent Component Analysis ◽  
Response Inhibition ◽  
Component Analysis ◽  
Stop Signal ◽  
Independent Component ◽  
Functional Networks ◽  
Stop Signal Reaction Time

scholarly journals Distinct functional networks within the cerebellum and their relation to cortical systems assessed with independent component analysis

NeuroImage ◽  
2012 ◽  
Vol 60 (4) ◽  
pp. 2073-2085 ◽  
Author(s):  
Vitaly I. Dobromyslin ◽  
David H. Salat ◽  
Catherine B. Fortier ◽  
Elizabeth C. Leritz ◽  
Christian F. Beckmann ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Functional Networks

scholarly journals Detection of functional networks within white matter using independent component analysis

NeuroImage ◽  
2020 ◽  
Vol 222 ◽  
pp. 117278
Author(s):  
Yali Huang ◽  
Yang Yang ◽  
Lei Hao ◽  
Xuefang Hu ◽  
Peiguang Wang ◽  
...  
Keyword(s):  
White Matter ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Functional Networks

Combining Spatial Independent Component Analysis with Regression to Identify the Subcortical Components of Resting-State fMRI Functional Networks

2014 ◽  
Vol 4 (3) ◽  
pp. 181-192 ◽  
Author(s):  
Caroline Malherbe ◽  
Arnaud Messé ◽  
Eric Bardinet ◽  
Mélanie Pélégrini-Issac ◽  
Vincent Perlbarg ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Resting State ◽  
Resting State Fmri ◽  
Component Analysis ◽  
Independent Component ◽  
Functional Networks

Proactive and Reactive Motor Inhibition in Top Athletes Versus Nonathletes

2018 ◽  
Vol 125 (2) ◽  
pp. 289-312 ◽  
Author(s):  
Damien Brevers ◽  
Etienne Dubuisson ◽  
Fabien Dejonghe ◽  
Julien Dutrieux ◽  
Mathieu Petieau ◽  
...  
Keyword(s):  
Reaction Time ◽  
Response Inhibition ◽  
Motor Response ◽  
Proactive Inhibition ◽  
Stop Signal ◽  
Stop Signal Task ◽  
Reactive Inhibition ◽  
Stop Signal Reaction Time ◽  
Motor Response Inhibition ◽  
Inhibition Performance

We examined proactive (early restraint in preparation for stopping) and reactive (late correction to stop ongoing action) motor response inhibition in two groups of participants: professional athletes ( n = 28) and nonathletes ( n = 25). We recruited the elite athletes from Belgian national taekwondo and fencing teams. We estimated proactive and reactive inhibition with a modified version of the stop-signal task (SST) in which participants inhibited categorizing left/right arrows. The probability of the stop signal was manipulated across blocks of trials by providing probability cues from the background computer screen color (green = 0%, yellow =17%, orange = 25%, red = 33%). Participants performed two sessions of the SST, where proactive inhibition was operationalized with increased go-signal reaction time as a function of increased stop-signal probability and reactive inhibition was indicated by stop-signal reaction time latency. Athletes exhibited higher reactive inhibition performance than nonathletes. In addition, athletes exhibited higher proactive inhibition than nonathletes in Session 1 (but not Session 2) of the SST. As top-level athletes exhibited heightened reactive inhibition and were faster to reach and maintain consistent proactive motor response inhibition, these results confirm an evaluative process that can discriminate elite athleticism through a fine-grained analysis of inhibitory control.

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