ArticleHuman brain mapping2015
Independent component analysis of functional networks for response inhibition: Inter-subject variation in stop signal reaction time.
Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A meta-analysis of cognitive flexibility in aging: Perspective from functional network and lateralization.Human brain mapping · 2024Pooled it
- Cerebellar Contributions to Proactive and Reactive Control in the Stop Signal Task: A Systematic Review and Meta-Analysis of Functional Magnetic Resonance Imaging Studies.Neuropsychology review · 2020Pooled it
- Predicting beneficial effects of atomoxetine and citalopram on response inhibition in Parkinson's disease with clinical and neuroimaging measures.Human brain mapping · 2016Trial
- Nonergodicity and Simpson's paradox in neurocognitive dynamics of cognitive control.Nature communications · 2026Article
- The neuroscience of itch in relation to transdiagnostic psychological approaches.Scientific reports · 2024Article
- Gray matter volume and within-task verbal fluency performance among older adults.Brain and cognition · 2023Article
- Independent component analysis: a reliable alternative to general linear model for task-based fMRI.Frontiers in psychiatry · 2023Article
- Diffusion Tensor Imaging Changes Do Not Affect Long-Term Neurodevelopment following Early Erythropoietin among Extremely Preterm Infants in the Preterm Erythropoietin Neuroprotection Trial.Brain sciences · 2021Article
- Long-TermFrontiers in neurology · 2021Article
- Dissociation in reactive and proactive inhibitory control in Myoclonus dystonia.Scientific reports · 2020Article
- Spiritual experiences are related to engagement of a ventral frontotemporal functional brain network: Implications for prevention and treatment of behavioral and substance addictions.Journal of behavioral addictions · 2019Article
- Cerebellar Transcranial Direct Current Stimulation Improves Reactive Response Inhibition in Healthy Volunteers.Cerebellum (London, England) · 2019Article
- Classification of cocaine-dependent participants with dynamic functional connectivity from functional magnetic resonance imaging data.Journal of neuroscience research · 2019Article
- Maturation changes the excitability and effective connectivity of the frontal lobe: A developmental TMS-EEG study.Human brain mapping · 2019Article
- Response inhibition and fronto-striatal-thalamic circuit dysfunction in cocaine addiction.Drug and alcohol dependence · 2018Article
- Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis.Medical & biological engineering & computing · 2018Article
- Functional Connectivity Parcellation of the Human Thalamus by Independent Component Analysis.Brain connectivity · 2017Article
- Neural Architecture of Selective Stopping Strategies: Distinct Brain Activity Patterns Are Associated with Attentional Capture But Not with Outright Stopping.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Distinct neural processes support post-success and post-error slowing in the stop signal task.Neuroscience · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Cognitive control is a critical executive function. Many studies have combined general linear modeling and the stop signal task (SST) to delineate the component processes of cognitive control. For instance, by contrasting stop success (SS) and stop error (SE) trials in the SST, investigators examined regional responses to stop signal inhibition. In contrast to this parameterized approach, independent component analysis (ICA) elucidates brain networks subserving cognitive control. In our earlier work of 59 adults performing the SST during fMRI, we characterized six independent components (ICs). However, none of these ICs correlated with stop signal performance, raising questions about their behavioral validity. Here, in a larger sample (n = 100), we identified and explored 23 ICs for correlation with the stop signal reaction time (SSRT), a measure of the efficiency of response inhibition. At a corrected threshold (P < 0.0005), a paracentral lobule-midcingulate network and a left inferior parietal-supplementary motor-somatomotor network showed a positive correlation between SE beta weight and SSRT. In contrast, a midline cerebellum-thalamus-pallidum network showed a negative correlation between SE beta weight and SSRT. These findings suggest that motor preparation and execution prolongs the SSRT, likely via an interaction between the go and stop processes as suggested by the race model. Behaviorally, consistent with this hypothesis, the difference in G and SE reaction times is positively correlated with SSRT across subjects. These new results highlight the importance of cognitive motor regions in response inhibition and support the utility of ICA in uncovering functional networks for cognitive control in the SST.
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