Literature DB >> 32404347

Feature Uncertainty Predicts Behavioral and Neural Responses to Combined Concepts.

Sarah H Solomon1, Sharon L Thompson-Schill2.   

Abstract

The cognitive and neural structure of conceptual knowledge affects how concepts combine in language and thought. Examining the principles by which individual concepts (e.g., diamond, baseball) combine into more complex phrases (e.g., "baseball diamond") can illuminate not only how the brain combines concepts but also the key ingredients of conceptual structure. Here we specifically tested the role of feature uncertainty in the modulation of conceptual brightness evoked by adjective-noun combinations (e.g., "dark diamond") in male and female human subjects. We collected explicit ratings of conceptual brightness for 45 noun concepts and their "dark" and "light" combinations, resulting in a measure reflecting the degree of conceptual brightness modulation in each noun concept. Feature uncertainty was captured in an entropy measure, as well as in a predictive Bayesian model of feature modulation. We found that feature uncertainty (i.e., entropy) and the Bayesian model were both strong predictors of these behavioral effects. Using fMRI, we observed the neural responses evoked by the concepts and combinations in a priori ROIs. Feature uncertainty predicted univariate responses in left inferior frontal gyrus, and multivariate responses in left anterior temporal lobe were predicted by degree of conceptual brightness modulation. These findings suggest that feature uncertainty is a key ingredient of conceptual structure, and inform cognitive neuroscience theories of conceptual combination by highlighting the role of left inferior frontal gyrus and left anterior temporal lobe in the process of flexible feature modulation during comprehension of complex language.SIGNIFICANCE STATEMENT The meaning of a word depends on the words surrounding it. The challenge of understanding how flexible meaning emerges in language can be simplified by studying adjective-noun phrases. We tested whether the uncertainty of a feature (i.e., brightness) in a given noun concept (e.g., diamond) influences how the adjective and noun concepts combine. We analyzed feature uncertainty using two probabilistic measures, and found that feature uncertainty predicted people's explicit interpretations of adjective-noun phrases (e.g., "dark diamond"). Using fMRI, we found that combined concepts evoked responses in left inferior frontal gyrus and left anterior temporal lobe that related to our measures of feature modulation and uncertainty. These findings reveal the cognitive and neural processes supporting conceptual combination and complex language use.
Copyright © 2020 the authors.

Entities:  

Keywords:  Bayesian modeling; MVPA; conceptual combination; fMRI; information theory

Mesh:

Year:  2020        PMID: 32404347      PMCID: PMC7326356          DOI: 10.1523/JNEUROSCI.2926-19.2020

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  45 in total

1.  Conceptual knowledge is underpinned by the temporal pole bilaterally: convergent evidence from rTMS.

Authors:  Matthew A Lambon Ralph; Gorana Pobric; Elizabeth Jefferies
Journal:  Cereb Cortex       Date:  2008-08-04       Impact factor: 5.357

2.  An early stage of conceptual combination: Superimposition of constituent concepts in left anterolateral temporal lobe.

Authors:  Sean G Baron; Sharon L Thompson-Schill; Matthew Weber; Daniel Osherson
Journal:  Cogn Neurosci       Date:  2010-03       Impact factor: 3.065

3.  Coherent concepts are computed in the anterior temporal lobes.

Authors:  Matthew A Lambon Ralph; Karen Sage; Roy W Jones; Emily J Mayberry
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-21       Impact factor: 11.205

4.  Role of left inferior prefrontal cortex in retrieval of semantic knowledge: a reevaluation.

Authors:  S L Thompson-Schill; M D'Esposito; G K Aguirre; M J Farah
Journal:  Proc Natl Acad Sci U S A       Date:  1997-12-23       Impact factor: 11.205

Review 5.  The neural and computational bases of semantic cognition.

Authors:  Matthew A Lambon Ralph; Elizabeth Jefferies; Karalyn Patterson; Timothy T Rogers
Journal:  Nat Rev Neurosci       Date:  2016-11-24       Impact factor: 34.870

6.  Neural correlates of implicit and explicit combinatorial semantic processing.

Authors:  William W Graves; Jeffrey R Binder; Rutvik H Desai; Lisa L Conant; Mark S Seidenberg
Journal:  Neuroimage       Date:  2010-06-28       Impact factor: 6.556

7.  Relational vs. attributive interpretation of nominal compounds differentially engages angular gyrus and anterior temporal lobe.

Authors:  Christine Boylan; John C Trueswell; Sharon L Thompson-Schill
Journal:  Brain Lang       Date:  2017-02-23       Impact factor: 2.381

Review 8.  Where do you know what you know? The representation of semantic knowledge in the human brain.

Authors:  Karalyn Patterson; Peter J Nestor; Timothy T Rogers
Journal:  Nat Rev Neurosci       Date:  2007-12       Impact factor: 34.870

9.  Compositionality and the angular gyrus: A multi-voxel similarity analysis of the semantic composition of nouns and verbs.

Authors:  Christine Boylan; John C Trueswell; Sharon L Thompson-Schill
Journal:  Neuropsychologia       Date:  2015-10-18       Impact factor: 3.139

Review 10.  Putting concepts into context.

Authors:  Eiling Yee; Sharon L Thompson-Schill
Journal:  Psychon Bull Rev       Date:  2016-08
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  1 in total

1.  The neural correlates of semantic control revisited.

Authors:  Rebecca L Jackson
Journal:  Neuroimage       Date:  2020-10-12       Impact factor: 7.400

  1 in total

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