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Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity
Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to err...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528723/ https://www.ncbi.nlm.nih.gov/pubmed/37557971 http://dx.doi.org/10.1016/j.neuroimage.2023.120314 |
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author | Pierce, Jordan E. Petro, Nathan M. Clancy, Elizabeth Gratton, Caterina Petersen, Steven E. Neta, Maital |
author_facet | Pierce, Jordan E. Petro, Nathan M. Clancy, Elizabeth Gratton, Caterina Petersen, Steven E. Neta, Maital |
author_sort | Pierce, Jordan E. |
collection | PubMed |
description | Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In the main study, the slow reveal task was administered to 32 young adults in the fMRI environment and BOLD time courses were extracted from regions of interest in three control networks. In a follow-up study, the task was administered to a larger, online sample (n = 81) using a more extended slow reveal design with additional unmasking frames. Positive judgments of surprised faces were uniquely accompanied by slower response times and strong, late activation in the CO network. These results support the initial negativity hypothesis, which posits that the default response to ambiguity is negative and positive judgments are associated with a more effortful controlled process, and additionally suggest that this controlled process is mediated by the CO network. Moreover, ambiguous trials were characterized by a second CO response at the end of the trial, firmly placing CO function late in the decision-making process. |
format | Online Article Text |
id | pubmed-10528723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-105287232023-10-01 Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity Pierce, Jordan E. Petro, Nathan M. Clancy, Elizabeth Gratton, Caterina Petersen, Steven E. Neta, Maital Neuroimage Article Cortical task control networks, including the cingulo-opercular (CO) network play a key role in decision-making across a variety of functional domains. In particular, the CO network functions in a performance reporting capacity that supports successful task performance, especially in response to errors and ambiguity. In two studies testing the contribution of the CO network to ambiguity processing, we presented a valence bias task in which masked clearly and ambiguously valenced emotional expressions were slowly revealed over several seconds. This slow reveal task design provides a window into the decision-making mechanisms as they unfold over the course of a trial. In the main study, the slow reveal task was administered to 32 young adults in the fMRI environment and BOLD time courses were extracted from regions of interest in three control networks. In a follow-up study, the task was administered to a larger, online sample (n = 81) using a more extended slow reveal design with additional unmasking frames. Positive judgments of surprised faces were uniquely accompanied by slower response times and strong, late activation in the CO network. These results support the initial negativity hypothesis, which posits that the default response to ambiguity is negative and positive judgments are associated with a more effortful controlled process, and additionally suggest that this controlled process is mediated by the CO network. Moreover, ambiguous trials were characterized by a second CO response at the end of the trial, firmly placing CO function late in the decision-making process. 2023-10-01 2023-08-07 /pmc/articles/PMC10528723/ /pubmed/37557971 http://dx.doi.org/10.1016/j.neuroimage.2023.120314 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ). |
spellingShingle | Article Pierce, Jordan E. Petro, Nathan M. Clancy, Elizabeth Gratton, Caterina Petersen, Steven E. Neta, Maital Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
title | Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
title_full | Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
title_fullStr | Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
title_full_unstemmed | Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
title_short | Specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
title_sort | specialized late cingulo-opercular network activation elucidates the mechanisms underlying decisions about ambiguity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10528723/ https://www.ncbi.nlm.nih.gov/pubmed/37557971 http://dx.doi.org/10.1016/j.neuroimage.2023.120314 |
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