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Decoding the information structure underlying the neural representation of concepts
The nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previou...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832989/ https://www.ncbi.nlm.nih.gov/pubmed/35115397 http://dx.doi.org/10.1073/pnas.2108091119 |
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author | Fernandino, Leonardo Tong, Jia-Qing Conant, Lisa L. Humphries, Colin J. Binder, Jeffrey R. |
author_facet | Fernandino, Leonardo Tong, Jia-Qing Conant, Lisa L. Humphries, Colin J. Binder, Jeffrey R. |
author_sort | Fernandino, Leonardo |
collection | PubMed |
description | The nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previously associated with semantic cognition. We found that lexical semantic information can be reliably decoded from a wide range of heteromodal cortical areas in the frontal, parietal, and temporal cortex. In most of these areas, we found a striking advantage for experience-based representational structures (i.e., encoding information about sensory-motor, affective, and other features of phenomenal experience), with little evidence for independent taxonomic or distributional organization. These results were found independently for object and event concepts. Our findings indicate that concept representations in the heteromodal cortex are based, at least in part, on experiential information. They also reveal that, in most heteromodal areas, event concepts have more heterogeneous representations (i.e., they are more easily decodable) than object concepts and that other areas beyond the traditional “semantic hubs” contribute to semantic cognition, particularly the posterior cingulate gyrus and the precuneus. |
format | Online Article Text |
id | pubmed-8832989 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-88329892022-08-03 Decoding the information structure underlying the neural representation of concepts Fernandino, Leonardo Tong, Jia-Qing Conant, Lisa L. Humphries, Colin J. Binder, Jeffrey R. Proc Natl Acad Sci U S A Social Sciences The nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previously associated with semantic cognition. We found that lexical semantic information can be reliably decoded from a wide range of heteromodal cortical areas in the frontal, parietal, and temporal cortex. In most of these areas, we found a striking advantage for experience-based representational structures (i.e., encoding information about sensory-motor, affective, and other features of phenomenal experience), with little evidence for independent taxonomic or distributional organization. These results were found independently for object and event concepts. Our findings indicate that concept representations in the heteromodal cortex are based, at least in part, on experiential information. They also reveal that, in most heteromodal areas, event concepts have more heterogeneous representations (i.e., they are more easily decodable) than object concepts and that other areas beyond the traditional “semantic hubs” contribute to semantic cognition, particularly the posterior cingulate gyrus and the precuneus. National Academy of Sciences 2022-02-03 2022-02-08 /pmc/articles/PMC8832989/ /pubmed/35115397 http://dx.doi.org/10.1073/pnas.2108091119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Fernandino, Leonardo Tong, Jia-Qing Conant, Lisa L. Humphries, Colin J. Binder, Jeffrey R. Decoding the information structure underlying the neural representation of concepts |
title | Decoding the information structure underlying the neural representation of concepts |
title_full | Decoding the information structure underlying the neural representation of concepts |
title_fullStr | Decoding the information structure underlying the neural representation of concepts |
title_full_unstemmed | Decoding the information structure underlying the neural representation of concepts |
title_short | Decoding the information structure underlying the neural representation of concepts |
title_sort | decoding the information structure underlying the neural representation of concepts |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832989/ https://www.ncbi.nlm.nih.gov/pubmed/35115397 http://dx.doi.org/10.1073/pnas.2108091119 |
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