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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...

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Autores principales: Fernandino, Leonardo, Tong, Jia-Qing, Conant, Lisa L., Humphries, Colin J., Binder, Jeffrey R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
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.
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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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