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Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex

Pain is known to have sensory and affective components. The sensory pain component is encoded by neurons in the primary somatosensory cortex (S1), whereas the emotional or affective pain experience is in large part processed by neural activities in the anterior cingulate cortex (ACC). The timing of...

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Autores principales: Sun, Guanghao, McCartin, Michael, Liu, Weizhuo, Zhang, Qiaosheng, Kenefati, George, Chen, Zhe Sage, Wang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817351/
https://www.ncbi.nlm.nih.gov/pubmed/36604739
http://dx.doi.org/10.1186/s13041-022-00991-y
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author Sun, Guanghao
McCartin, Michael
Liu, Weizhuo
Zhang, Qiaosheng
Kenefati, George
Chen, Zhe Sage
Wang, Jing
author_facet Sun, Guanghao
McCartin, Michael
Liu, Weizhuo
Zhang, Qiaosheng
Kenefati, George
Chen, Zhe Sage
Wang, Jing
author_sort Sun, Guanghao
collection PubMed
description Pain is known to have sensory and affective components. The sensory pain component is encoded by neurons in the primary somatosensory cortex (S1), whereas the emotional or affective pain experience is in large part processed by neural activities in the anterior cingulate cortex (ACC). The timing of how a mechanical or thermal noxious stimulus triggers activation of peripheral pain fibers is well-known. However, the temporal processing of nociceptive inputs in the cortex remains little studied. Here, we took two approaches to examine how nociceptive inputs are processed by the S1 and ACC. We simultaneously recorded local field potentials in both regions, during the application of a brain-computer interface (BCI). First, we compared event related potentials in the S1 and ACC. Next, we used an algorithmic pain decoder enabled by machine-learning to detect the onset of pain which was used during the implementation of the BCI to automatically treat pain. We found that whereas mechanical pain triggered neural activity changes first in the S1, the S1 and ACC processed thermal pain with a reasonably similar time course. These results indicate that the temporal processing of nociceptive information in different regions of the cortex is likely important for the overall pain experience.
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spelling pubmed-98173512023-01-07 Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex Sun, Guanghao McCartin, Michael Liu, Weizhuo Zhang, Qiaosheng Kenefati, George Chen, Zhe Sage Wang, Jing Mol Brain Short Report Pain is known to have sensory and affective components. The sensory pain component is encoded by neurons in the primary somatosensory cortex (S1), whereas the emotional or affective pain experience is in large part processed by neural activities in the anterior cingulate cortex (ACC). The timing of how a mechanical or thermal noxious stimulus triggers activation of peripheral pain fibers is well-known. However, the temporal processing of nociceptive inputs in the cortex remains little studied. Here, we took two approaches to examine how nociceptive inputs are processed by the S1 and ACC. We simultaneously recorded local field potentials in both regions, during the application of a brain-computer interface (BCI). First, we compared event related potentials in the S1 and ACC. Next, we used an algorithmic pain decoder enabled by machine-learning to detect the onset of pain which was used during the implementation of the BCI to automatically treat pain. We found that whereas mechanical pain triggered neural activity changes first in the S1, the S1 and ACC processed thermal pain with a reasonably similar time course. These results indicate that the temporal processing of nociceptive information in different regions of the cortex is likely important for the overall pain experience. BioMed Central 2023-01-05 /pmc/articles/PMC9817351/ /pubmed/36604739 http://dx.doi.org/10.1186/s13041-022-00991-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Short Report
Sun, Guanghao
McCartin, Michael
Liu, Weizhuo
Zhang, Qiaosheng
Kenefati, George
Chen, Zhe Sage
Wang, Jing
Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
title Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
title_full Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
title_fullStr Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
title_full_unstemmed Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
title_short Temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
title_sort temporal pain processing in the primary somatosensory cortex and anterior cingulate cortex
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817351/
https://www.ncbi.nlm.nih.gov/pubmed/36604739
http://dx.doi.org/10.1186/s13041-022-00991-y
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