Literature DB >> 35940877

A Distributed Network for Multimodal Experiential Representation of Concepts.

Jiaqing Tong1,2, Jeffrey R Binder1,2, Colin Humphries1, Stephen Mazurchuk1,2, Lisa L Conant1, Leonardo Fernandino3,4.   

Abstract

Neuroimaging, neuropsychological, and psychophysical evidence indicate that concept retrieval selectively engages specific sensory and motor brain systems involved in the acquisition of the retrieved concept. However, it remains unclear which supramodal cortical regions contribute to this process and what kind of information they represent. Here, we used representational similarity analysis of two large fMRI datasets with a searchlight approach to generate a detailed map of human brain regions where the semantic similarity structure across individual lexical concepts can be reliably detected. We hypothesized that heteromodal cortical areas typically associated with the default mode network encode multimodal experiential information about concepts, consistent with their proposed role as cortical integration hubs. In two studies involving different sets of concepts and different participants (both sexes), we found a distributed, bihemispheric network engaged in concept representation, composed of high-level association areas in the anterior, lateral, and ventral temporal lobe; inferior parietal lobule; posterior cingulate gyrus and precuneus; and medial, dorsal, ventrolateral, and orbital prefrontal cortex. In both studies, a multimodal model combining sensory, motor, affective, and other types of experiential information explained significant variance in the neural similarity structure observed in these regions that was not explained by unimodal experiential models or by distributional semantics (i.e., word2vec similarity). These results indicate that during concept retrieval, lexical concepts are represented across a vast expanse of high-level cortical regions, especially in the areas that make up the default mode network, and that these regions encode multimodal experiential information.SIGNIFICANCE STATEMENT Conceptual knowledge includes information acquired through various modalities of experience, such as visual, auditory, tactile, and emotional information. We investigated which brain regions encode mental representations that combine information from multiple modalities when participants think about the meaning of a word. We found that such representations are encoded across a widely distributed network of cortical areas in both hemispheres, including temporal, parietal, limbic, and prefrontal association areas. Several areas not traditionally associated with semantic cognition were also implicated. Our results indicate that the retrieval of conceptual knowledge during word comprehension relies on a much larger portion of the cerebral cortex than previously thought and that multimodal experiential information is represented throughout the entire network.
Copyright © 2022 the authors.

Entities:  

Keywords:  concept representation; default mode network; fMRI; language; representational similarity analysis; semantics

Mesh:

Year:  2022        PMID: 35940877      PMCID: PMC9480893          DOI: 10.1523/JNEUROSCI.1243-21.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  56 in total

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8.  Default mode network can support the level of detail in experience during active task states.

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-27       Impact factor: 11.205

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Authors:  Russell A Poldrack; Krzysztof J Gorgolewski; Oscar Esteban; Christopher J Markiewicz; Ross W Blair; Craig A Moodie; A Ilkay Isik; Asier Erramuzpe; James D Kent; Mathias Goncalves; Elizabeth DuPre; Madeleine Snyder; Hiroyuki Oya; Satrajit S Ghosh; Jessey Wright; Joke Durnez
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10.  Representational similarity analysis - connecting the branches of systems neuroscience.

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