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Modeling the meaning of words: Neural correlates of abstract and concrete noun processing

In English

Författare

Summary, in English

We present a model relating analysis of abstract and concrete word meaning in terms of semantic features and contextual frames within a general framework of neurocognitive information processing. The approach taken here assumes concrete noun meanings to be intimately related to sensory feature constellations. These features are processed by posterior sensory regions of the brain, e.g. the occipital lobe, which handles visual information. The interpretation of abstract nouns, however, is likely to be more dependent on semantic frames and linguistic context. A greater involvement of more anteriorly located, perisylvian brain areas has previously been found for the processing of abstract words. In the present study, a word association test was carried out in order to compare semantic processing in healthy subjects (n=12) with subjects with aphasia due to perisylvian lesions (n=3) and occipital lesions (n=1). The word associations were coded into different categories depending on their semantic content. A double dissociation was found, where, compared to the controls, the perisylvian aphasic subjects had problems associating to abstract nouns and produced fewer semantic frame-based associations, whereas the occipital aphasic subject showed disturbances in concrete noun processing and made fewer semantic feature based associations.

Publiceringsår

2011

Språk

Engelska

Sidor

455-478

Publikation/Tidskrift/Serie

Acta Neurobiologiae Experimentalis

Volym

71

Issue

4

Dokumenttyp

Artikel i tidskrift

Förlag

Polish Neuroscience Society - PTBUN, Nencki Institute of Experimental Biology

Ämne

  • General Language Studies and Linguistics

Nyckelord

  • mental lexicon
  • abstract words
  • concrete words
  • semantic frames
  • semantic features
  • neurocognition
  • aphasia

Status

Published

Projekt

  • Abstract, emotional and concrete words in the mental lexicon

ISBN/ISSN/Övrigt

  • ISSN: 0065-1400