In search of different categories of abstract concepts: a fMRI adaptation study
Autor: | Gabriella Vigliocco, Stefano F. Cappa, Pasquale Anthony Della Rosa, Francesca Conca, Alessandro Petrini, Eleonora Catricalà, Matteo Canini |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male media_common.quotation_subject Science Concept Formation Sensory system Article Young Adult Cognition Reading (process) Selection (linguistics) medicine Humans media_common Language Brain Mapping Multidisciplinary Representation (systemics) Abstract and concrete fMRI adaptation Brain Reproducibility of Results Magnetic Resonance Imaging Temporal Lobe Semantics medicine.anatomical_structure Knowledge Italy Reading Cognitive control Medicine Female Psychology Neuroanatomy Cognitive psychology |
Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
ISSN: | 2045-2322 |
Popis: | Concrete conceptual knowledge is supported by a distributed neural network representing different semantic features according to the neuroanatomy of sensory and motor systems. If and how this framework applies to abstract knowledge is currently debated. Here we investigated the specific brain correlates of different abstract categories. After a systematic a priori selection of brain regions involved in semantic cognition, i.e. responsible of, respectively, semantic representations and cognitive control, we used a fMRI-adaptation paradigm with a passive reading task, in order to modulate the neural response to abstract (emotions, cognitions, attitudes, human actions) and concrete (biological entities, artefacts) categories. Different portions of the left anterior temporal lobe responded selectively to abstract and concrete concepts. Emotions and attitudes adapted the left middle temporal gyrus, whereas concrete items adapted the left fusiform gyrus. Our results suggest that, similarly to concrete concepts, some categories of abstract knowledge have specific brain correlates corresponding to the prevalent semantic dimensions involved in their representation. |
Databáze: | OpenAIRE |
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