ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022
A Distributed Network for Multimodal Experiential Representation of Concepts.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Functional Connectivity Gradients Reveal Altered Hierarchical Cortical Organization in Functional Neurological Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
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- Neural decoding of autobiographical mental image features with a general semantic model.Nature communications · 2025Article
- From Speech Semantics to Brain Activity-Timescales Are Key in Their Information Transfer.Human brain mapping · 2025Article
- A Common Representational Code for Event and Object Concepts in the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Pain integration of multimodal noxious stimulation based on the perceptual instruction.Proceedings. Biological sciences · 2025Article
- Mapping Contributions of the Anterior Temporal Semantic Hub to the Processing of Abstract and Concrete Verbs.Human brain mapping · 2025Article
- Mapping and modeling the semantic space of math concepts.Cognition · 2025Article
- Differential weighting of information during aloud and silent reading: Evidence from representational similarity analysis of fMRI data.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- From Multimodal Sensorimotor Integration to Semantic Networks: A Phylogenetic Perspective on Speech and Language Evolution.Neurobiology of language (Cambridge, Mass.) · 2025Review
- Article
- Neural Representations of Concreteness and Concrete Concepts Are Specific to the Individual.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- The primacy of experience in language processing: Semantic priming is driven primarily by experiential similarity.Neuropsychologia · 2024Article
- Brain-wide representation of social knowledge.Social cognitive and affective neuroscience · 2024Article
- The neural representation of body part concepts.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- How does the "default mode" network contribute to semantic cognition?Brain and language · 2024Review
- Unraveling lexical semantics in the brain: Comparing internal, external, and hybrid language models.Human brain mapping · 2024Article
- Decomposing unaccusativity: a statistical modelling approach.Language, cognition and neuroscience · 2024Article
- Stimulus Repetition and Sample Size Considerations in Item-Level Representational Similarity Analysis.Language, cognition and neuroscience · 2024Article
- Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography.Frontiers in human neuroscience · 2024Article
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6 authors.
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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.
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