Neural Representations of Concreteness and Concrete Concepts Are Specific to the Individual.

J Neurosci

Department of Psychological & Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755

Published: November 2024

AI Article Synopsis

  • Different listeners can interpret the same story similarly, while still having personal, unique experiences based on the language used.
  • This study explores how "concreteness" (words linked to sensory experience) affects how individual brains represent language, showing consistent neural patterns for concrete words across individuals.
  • The findings suggest that sensory-related language and its related neural signatures play a key role in how we share and personalize our understanding of spoken language, highlighting the significance of the concrete-abstract axis in communication.

Article Abstract

Different people listening to the same story may converge upon a largely shared interpretation while still developing idiosyncratic experiences atop that shared foundation. What linguistic properties support this individualized experience of natural language? Here, we investigate how the "concrete-abstract" axis-the extent to which a word is grounded in sensory experience-relates to within- and across-subject variability in the neural representations of language. Leveraging a dataset of human participants of both sexes who each listened to four auditory stories while undergoing functional magnetic resonance imaging, we demonstrate that neural representations of "concreteness" are both reliable across stories and relatively unique to individuals, while neural representations of "abstractness" are variable both within individuals and across the population. Using natural language processing tools, we show that concrete words exhibit similar neural representations despite spanning larger distances within a high-dimensional semantic space, which potentially reflects an underlying representational signature of sensory experience-namely, imageability-shared by concrete words but absent from abstract words. Our findings situate the concrete-abstract axis as a core dimension that supports both shared and individualized representations of natural language.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11551891PMC
http://dx.doi.org/10.1523/JNEUROSCI.0288-24.2024DOI Listing

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