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Passive perceptual learning modulates motor inhibitory control in superior frontal regions
Response inhibition is of vital importance in the context of controlling inappropriate responses. The role of perceptual processes during inhibitory control has attracted increased interest. Yet, we are far from an understanding of the mechanisms. One candidate mechanism by which perceptual processe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267975/ https://www.ncbi.nlm.nih.gov/pubmed/31652018 http://dx.doi.org/10.1002/hbm.24835 |
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author | Friedrich, Julia Beste, Christian |
author_facet | Friedrich, Julia Beste, Christian |
author_sort | Friedrich, Julia |
collection | PubMed |
description | Response inhibition is of vital importance in the context of controlling inappropriate responses. The role of perceptual processes during inhibitory control has attracted increased interest. Yet, we are far from an understanding of the mechanisms. One candidate mechanism by which perceptual processes may affect response inhibition refers to “gain control” that is closely linked to the signal‐to‐noise ratio of incoming information. A means to modulate the signal‐to‐noise ratio and gain control mechanisms is perceptual learning. In the current study, we examine the impact of perceptual learning (i.e., passive repetitive sensory stimulation) on response inhibition combining EEG signal decomposition with source localization analyses. A tactile GO/NOGO paradigm was conducted to measure action restraint as one subcomponent of response inhibition. We show that passive perceptual learning modulates response inhibition processes. In particular, perceptual learning attenuates the detrimental effect of response automation during inhibitory control. Temporally decomposed EEG data show that stimulus‐related and not response selection processes during conflict monitoring are linked to these effects. The superior and middle frontal gyrus (BA6), as well as the motor cortex (BA4), are associated with the effects of perceptual learning on response inhibition. Reliable neurophysiological effects were not evident on the basis of standard ERPs, which has important methodological implications for perceptual learning research. The results detail how lower level sensory plasticity protocols affect higher‐order cognitive control functions in frontal cortical structures. |
format | Online Article Text |
id | pubmed-7267975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72679752020-06-12 Passive perceptual learning modulates motor inhibitory control in superior frontal regions Friedrich, Julia Beste, Christian Hum Brain Mapp Research Articles Response inhibition is of vital importance in the context of controlling inappropriate responses. The role of perceptual processes during inhibitory control has attracted increased interest. Yet, we are far from an understanding of the mechanisms. One candidate mechanism by which perceptual processes may affect response inhibition refers to “gain control” that is closely linked to the signal‐to‐noise ratio of incoming information. A means to modulate the signal‐to‐noise ratio and gain control mechanisms is perceptual learning. In the current study, we examine the impact of perceptual learning (i.e., passive repetitive sensory stimulation) on response inhibition combining EEG signal decomposition with source localization analyses. A tactile GO/NOGO paradigm was conducted to measure action restraint as one subcomponent of response inhibition. We show that passive perceptual learning modulates response inhibition processes. In particular, perceptual learning attenuates the detrimental effect of response automation during inhibitory control. Temporally decomposed EEG data show that stimulus‐related and not response selection processes during conflict monitoring are linked to these effects. The superior and middle frontal gyrus (BA6), as well as the motor cortex (BA4), are associated with the effects of perceptual learning on response inhibition. Reliable neurophysiological effects were not evident on the basis of standard ERPs, which has important methodological implications for perceptual learning research. The results detail how lower level sensory plasticity protocols affect higher‐order cognitive control functions in frontal cortical structures. John Wiley & Sons, Inc. 2019-10-25 /pmc/articles/PMC7267975/ /pubmed/31652018 http://dx.doi.org/10.1002/hbm.24835 Text en © 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Friedrich, Julia Beste, Christian Passive perceptual learning modulates motor inhibitory control in superior frontal regions |
title | Passive perceptual learning modulates motor inhibitory control in superior frontal regions |
title_full | Passive perceptual learning modulates motor inhibitory control in superior frontal regions |
title_fullStr | Passive perceptual learning modulates motor inhibitory control in superior frontal regions |
title_full_unstemmed | Passive perceptual learning modulates motor inhibitory control in superior frontal regions |
title_short | Passive perceptual learning modulates motor inhibitory control in superior frontal regions |
title_sort | passive perceptual learning modulates motor inhibitory control in superior frontal regions |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267975/ https://www.ncbi.nlm.nih.gov/pubmed/31652018 http://dx.doi.org/10.1002/hbm.24835 |
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