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A fine-grained time course investigation of brain dynamics during conflict monitoring
The conflict monitoring model predicting higher anterior cingulate cortex (ACC) neuronal activity on incongruent trials has been recently challenged by a model predicting longer neuronal activity in incongruent trials characterized by longer RTs. To clarify this issue, brain dynamics were explored t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403345/ https://www.ncbi.nlm.nih.gov/pubmed/30842528 http://dx.doi.org/10.1038/s41598-019-40277-3 |
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author | Ruggeri, Paolo Meziane, Hadj Boumediene Koenig, Thomas Brandner, Catherine |
author_facet | Ruggeri, Paolo Meziane, Hadj Boumediene Koenig, Thomas Brandner, Catherine |
author_sort | Ruggeri, Paolo |
collection | PubMed |
description | The conflict monitoring model predicting higher anterior cingulate cortex (ACC) neuronal activity on incongruent trials has been recently challenged by a model predicting longer neuronal activity in incongruent trials characterized by longer RTs. To clarify this issue, brain dynamics were explored through event-related-potential (ERP) recordings during a Stroop task. We assessed differences between experimental conditions by combining complementary methods sensitive to the temporality of events including microstate, TANOVA and source localization analysis. The analysis demonstrated the same electrical dynamics only differed in duration towards the end of information processing in the incongruent condition. Specifically, the activation strength of the ACC region did not differ significantly between congruent and incongruent conditions but lasted longer in the incongruent condition. Taken together, our results support the model predicting longer neuronal activity in incongruent trials characterized by longer RTs. They highlight that brain dynamics can dramatically change through periods of interest and that caution is required when interpreting fMRI results. To conclude, these results indicate how time-sensitive measures can contribute to a better understanding of the mechanisms underlying information processing, and thus offer new venues to explore conflict monitoring |
format | Online Article Text |
id | pubmed-6403345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64033452019-03-08 A fine-grained time course investigation of brain dynamics during conflict monitoring Ruggeri, Paolo Meziane, Hadj Boumediene Koenig, Thomas Brandner, Catherine Sci Rep Article The conflict monitoring model predicting higher anterior cingulate cortex (ACC) neuronal activity on incongruent trials has been recently challenged by a model predicting longer neuronal activity in incongruent trials characterized by longer RTs. To clarify this issue, brain dynamics were explored through event-related-potential (ERP) recordings during a Stroop task. We assessed differences between experimental conditions by combining complementary methods sensitive to the temporality of events including microstate, TANOVA and source localization analysis. The analysis demonstrated the same electrical dynamics only differed in duration towards the end of information processing in the incongruent condition. Specifically, the activation strength of the ACC region did not differ significantly between congruent and incongruent conditions but lasted longer in the incongruent condition. Taken together, our results support the model predicting longer neuronal activity in incongruent trials characterized by longer RTs. They highlight that brain dynamics can dramatically change through periods of interest and that caution is required when interpreting fMRI results. To conclude, these results indicate how time-sensitive measures can contribute to a better understanding of the mechanisms underlying information processing, and thus offer new venues to explore conflict monitoring Nature Publishing Group UK 2019-03-06 /pmc/articles/PMC6403345/ /pubmed/30842528 http://dx.doi.org/10.1038/s41598-019-40277-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ruggeri, Paolo Meziane, Hadj Boumediene Koenig, Thomas Brandner, Catherine A fine-grained time course investigation of brain dynamics during conflict monitoring |
title | A fine-grained time course investigation of brain dynamics during conflict monitoring |
title_full | A fine-grained time course investigation of brain dynamics during conflict monitoring |
title_fullStr | A fine-grained time course investigation of brain dynamics during conflict monitoring |
title_full_unstemmed | A fine-grained time course investigation of brain dynamics during conflict monitoring |
title_short | A fine-grained time course investigation of brain dynamics during conflict monitoring |
title_sort | fine-grained time course investigation of brain dynamics during conflict monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403345/ https://www.ncbi.nlm.nih.gov/pubmed/30842528 http://dx.doi.org/10.1038/s41598-019-40277-3 |
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