We rarely use abstract and concrete concepts in isolation but rather embedded within a linguistic context. To examine the modulatory impact of the linguistic context on conceptual processing, we isolated the case of sentential negation polarity, in which an interaction occurs between the syntactic operator not and conceptual information in the negation’s scope. Previous studies suggested that sentential negation of concrete action-related concepts modulates activation in the fronto-parieto-temporal action representation network. In this functional magnetic resonance imaging study, we examined the influence of negation on a wider spectrum of meanings, by factorially manipulating sentence polarity (affirmative, negative) and fine-grained abstract (mental state, emotion, mathematics) and concrete (related to mouth, hand, leg actions) conceptual categories. We adopted a multivariate pattern analysis approach, and tested the accuracy of a machine learning classifier in discriminating brain activation patterns associated to the factorial manipulation. Searchlight analysis was used to localize the discriminating patterns. Overall, the neural processing of affirmative and negative sentences with either an abstract or concrete content could be accurately predicted by means of multivariate classification. We suggest that sentential negation polarity modulates brain activation in distributed representational semantic networks, through the functional mediation of syntactic and cognitive control systems. This article is part of the theme issue ‘Varieties of abstract concepts: development, use and representation in the brain’.

Ghio, M., Haegert, K., Vaghi, M., Tettamanti, M. (2018). Sentential negation of abstract and concrete conceptual categories: A brain decoding multivariate pattern analysis study. PHILOSOPHICAL TRANSACTIONS - ROYAL SOCIETY. BIOLOGICAL SCIENCES, 373(1752) [10.1098/rstb.2017.0124].

Sentential negation of abstract and concrete conceptual categories: A brain decoding multivariate pattern analysis study

Tettamanti M.
2018

Abstract

We rarely use abstract and concrete concepts in isolation but rather embedded within a linguistic context. To examine the modulatory impact of the linguistic context on conceptual processing, we isolated the case of sentential negation polarity, in which an interaction occurs between the syntactic operator not and conceptual information in the negation’s scope. Previous studies suggested that sentential negation of concrete action-related concepts modulates activation in the fronto-parieto-temporal action representation network. In this functional magnetic resonance imaging study, we examined the influence of negation on a wider spectrum of meanings, by factorially manipulating sentence polarity (affirmative, negative) and fine-grained abstract (mental state, emotion, mathematics) and concrete (related to mouth, hand, leg actions) conceptual categories. We adopted a multivariate pattern analysis approach, and tested the accuracy of a machine learning classifier in discriminating brain activation patterns associated to the factorial manipulation. Searchlight analysis was used to localize the discriminating patterns. Overall, the neural processing of affirmative and negative sentences with either an abstract or concrete content could be accurately predicted by means of multivariate classification. We suggest that sentential negation polarity modulates brain activation in distributed representational semantic networks, through the functional mediation of syntactic and cognitive control systems. This article is part of the theme issue ‘Varieties of abstract concepts: development, use and representation in the brain’.
Articolo in rivista - Articolo scientifico
FMRI; Grounded cognition; Language comprehension; Semantic memory; Sentential negation;
English
Ghio, M., Haegert, K., Vaghi, M., Tettamanti, M. (2018). Sentential negation of abstract and concrete conceptual categories: A brain decoding multivariate pattern analysis study. PHILOSOPHICAL TRANSACTIONS - ROYAL SOCIETY. BIOLOGICAL SCIENCES, 373(1752) [10.1098/rstb.2017.0124].
Ghio, M; Haegert, K; Vaghi, M; Tettamanti, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/360093
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