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Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation
The ability to interrogate specific representations in the brain, determining how, and where, difference sources of information are instantiated can provide invaluable insight into neural functioning. Pattern component modeling (PCM) is a recent analytic technique for human neuroimaging that allows...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829099/ https://www.ncbi.nlm.nih.gov/pubmed/36549914 http://dx.doi.org/10.1523/ENEURO.0274-22.2022 |
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author | Kryklywy, James H. Ehlers, Mana R. Beukers, Andre O. Moore, Sarah R. Todd, Rebecca M. Anderson, Adam K. |
author_facet | Kryklywy, James H. Ehlers, Mana R. Beukers, Andre O. Moore, Sarah R. Todd, Rebecca M. Anderson, Adam K. |
author_sort | Kryklywy, James H. |
collection | PubMed |
description | The ability to interrogate specific representations in the brain, determining how, and where, difference sources of information are instantiated can provide invaluable insight into neural functioning. Pattern component modeling (PCM) is a recent analytic technique for human neuroimaging that allows the decomposition of representational patterns in brain into contributing subcomponents. In the current study, we present a novel PCM variant that tracks the contribution of prespecified representational patterns to brain representation across areas, thus allowing hypothesis-guided employment of the technique. We apply this technique to investigate the contributions of hedonic and nonhedonic information to the neural representation of tactile experience. We applied aversive pressure (AP) and appetitive brush (AB) to stimulate distinct peripheral nerve pathways for tactile information (C-/CT-fibers, respectively) while patients underwent functional magnetic resonance imaging (fMRI) scanning. We performed representational similarity analyses (RSAs) with pattern component modeling to dissociate how discriminatory versus hedonic tactile information contributes to population code representations in the human brain. Results demonstrated that information about appetitive and aversive tactile sensation is represented separately from nonhedonic tactile information across cortical structures. This also demonstrates the potential of new hypothesis-guided PCM variants to help delineate how information is instantiated in the brain. |
format | Online Article Text |
id | pubmed-9829099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-98290992023-01-10 Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation Kryklywy, James H. Ehlers, Mana R. Beukers, Andre O. Moore, Sarah R. Todd, Rebecca M. Anderson, Adam K. eNeuro Research Article: Methods/New Tools The ability to interrogate specific representations in the brain, determining how, and where, difference sources of information are instantiated can provide invaluable insight into neural functioning. Pattern component modeling (PCM) is a recent analytic technique for human neuroimaging that allows the decomposition of representational patterns in brain into contributing subcomponents. In the current study, we present a novel PCM variant that tracks the contribution of prespecified representational patterns to brain representation across areas, thus allowing hypothesis-guided employment of the technique. We apply this technique to investigate the contributions of hedonic and nonhedonic information to the neural representation of tactile experience. We applied aversive pressure (AP) and appetitive brush (AB) to stimulate distinct peripheral nerve pathways for tactile information (C-/CT-fibers, respectively) while patients underwent functional magnetic resonance imaging (fMRI) scanning. We performed representational similarity analyses (RSAs) with pattern component modeling to dissociate how discriminatory versus hedonic tactile information contributes to population code representations in the human brain. Results demonstrated that information about appetitive and aversive tactile sensation is represented separately from nonhedonic tactile information across cortical structures. This also demonstrates the potential of new hypothesis-guided PCM variants to help delineate how information is instantiated in the brain. Society for Neuroscience 2023-01-03 /pmc/articles/PMC9829099/ /pubmed/36549914 http://dx.doi.org/10.1523/ENEURO.0274-22.2022 Text en Copyright © 2023 Kryklywy et al. https://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 (https://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 | Research Article: Methods/New Tools Kryklywy, James H. Ehlers, Mana R. Beukers, Andre O. Moore, Sarah R. Todd, Rebecca M. Anderson, Adam K. Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation |
title | Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation |
title_full | Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation |
title_fullStr | Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation |
title_full_unstemmed | Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation |
title_short | Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation |
title_sort | decomposing neural representational patterns of discriminatory and hedonic information during somatosensory stimulation |
topic | Research Article: Methods/New Tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829099/ https://www.ncbi.nlm.nih.gov/pubmed/36549914 http://dx.doi.org/10.1523/ENEURO.0274-22.2022 |
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