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Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing

Proactive control allows us to anticipate environmental changes and adjust behavioral strategy. In the laboratory, investigators have used a number of different behavioral paradigms, including the stop-signal task (SST), to examine the neural processes of proactive control. Previous functional MRI s...

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Autores principales: Chang, Andrew, Ide, Jaime S., Li, Hsin-Hung, Chen, Chien-Chung, Li, Chiang-Shan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446487/
https://www.ncbi.nlm.nih.gov/pubmed/28560315
http://dx.doi.org/10.1523/ENEURO.0061-17.2017
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author Chang, Andrew
Ide, Jaime S.
Li, Hsin-Hung
Chen, Chien-Chung
Li, Chiang-Shan R.
author_facet Chang, Andrew
Ide, Jaime S.
Li, Hsin-Hung
Chen, Chien-Chung
Li, Chiang-Shan R.
author_sort Chang, Andrew
collection PubMed
description Proactive control allows us to anticipate environmental changes and adjust behavioral strategy. In the laboratory, investigators have used a number of different behavioral paradigms, including the stop-signal task (SST), to examine the neural processes of proactive control. Previous functional MRI studies of the SST have demonstrated regional responses to conflict anticipation—the likelihood of a stop signal or P(stop) as estimated by a Bayesian model—and reaction time (RT) slowing and how these responses are interrelated. Here, in an electrophysiological study, we investigated the time–frequency domain substrates of proactive control. The results showed that conflict anticipation as indexed by P(stop) was positively correlated with the power in low-theta band (3–5 Hz) in the fixation (trial onset)-locked interval, and go-RT was negatively correlated with the power in delta-theta band (2–8 Hz) in the go-locked interval. Stimulus prediction error was positively correlated with the power in the low-beta band (12–22 Hz) in the stop-locked interval. Further, the power of the P(stop) and go-RT clusters was negatively correlated, providing a mechanism relating conflict anticipation to RT slowing in the SST. Source reconstruction with beamformer localized these time–frequency activities close to brain regions as revealed by functional MRI in earlier work. These are the novel results to show oscillatory electrophysiological substrates in support of trial-by-trial behavioral adjustment for proactive control.
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spelling pubmed-54464872017-05-30 Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing Chang, Andrew Ide, Jaime S. Li, Hsin-Hung Chen, Chien-Chung Li, Chiang-Shan R. eNeuro New Research Proactive control allows us to anticipate environmental changes and adjust behavioral strategy. In the laboratory, investigators have used a number of different behavioral paradigms, including the stop-signal task (SST), to examine the neural processes of proactive control. Previous functional MRI studies of the SST have demonstrated regional responses to conflict anticipation—the likelihood of a stop signal or P(stop) as estimated by a Bayesian model—and reaction time (RT) slowing and how these responses are interrelated. Here, in an electrophysiological study, we investigated the time–frequency domain substrates of proactive control. The results showed that conflict anticipation as indexed by P(stop) was positively correlated with the power in low-theta band (3–5 Hz) in the fixation (trial onset)-locked interval, and go-RT was negatively correlated with the power in delta-theta band (2–8 Hz) in the go-locked interval. Stimulus prediction error was positively correlated with the power in the low-beta band (12–22 Hz) in the stop-locked interval. Further, the power of the P(stop) and go-RT clusters was negatively correlated, providing a mechanism relating conflict anticipation to RT slowing in the SST. Source reconstruction with beamformer localized these time–frequency activities close to brain regions as revealed by functional MRI in earlier work. These are the novel results to show oscillatory electrophysiological substrates in support of trial-by-trial behavioral adjustment for proactive control. Society for Neuroscience 2017-05-26 /pmc/articles/PMC5446487/ /pubmed/28560315 http://dx.doi.org/10.1523/ENEURO.0061-17.2017 Text en Copyright © 2017 Chang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle New Research
Chang, Andrew
Ide, Jaime S.
Li, Hsin-Hung
Chen, Chien-Chung
Li, Chiang-Shan R.
Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing
title Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing
title_full Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing
title_fullStr Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing
title_full_unstemmed Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing
title_short Proactive Control: Neural Oscillatory Correlates of Conflict Anticipation and Response Slowing
title_sort proactive control: neural oscillatory correlates of conflict anticipation and response slowing
topic New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446487/
https://www.ncbi.nlm.nih.gov/pubmed/28560315
http://dx.doi.org/10.1523/ENEURO.0061-17.2017
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