Brain correlates of constituent structure in sign language comprehension - Archive ouverte HAL
Article Dans Une Revue NeuroImage Année : 2018

Brain correlates of constituent structure in sign language comprehension

Résumé

During sentence processing, areas of the left superior temporal sulcus, inferior frontal gyrus and left basal ganglia exhibit a systematic increase in brain activity as a function of constituent size, suggesting their involvement in the computation of syntactic and semantic structures. Here, we asked whether these areas play a universal role in language and therefore contribute to the processing of non-spoken sign language. Congenitally deaf adults who acquired French sign language as a first language and written French as a second language were scanned while watching sequences of signs in which the size of syntactic constituents was manipulated. An effect of constituent size was found in the basal ganglia, including the head of the caudate and the putamen. A smaller effect was also detected in temporal and frontal regions previously shown to be sensitive to constituent size in written language in hearing French subjects (Pallier et al., 2011). When the deaf participants read sentences versus word lists, the same network of language areas was observed. While reading and sign language processing yielded identical effects of linguistic structure in the basal ganglia, the effect of structure was stronger in all cortical language areas for written language relative to sign language. Furthermore, cortical activity was partially modulated by age of acquisition and reading proficiency. Our results stress the important role of the basal ganglia, within the language network, in the representation of the constituent structure of language, regardless of the input modality.

Dates et versions

hal-02324907 , version 1 (25-10-2019)

Identifiants

Citer

Antonio Moreno, Fanny Limousin, Stanislas Dehaene, Christophe Pallier. Brain correlates of constituent structure in sign language comprehension. NeuroImage, 2018, 167, pp.151-161. ⟨10.1016/j.neuroimage.2017.11.040⟩. ⟨hal-02324907⟩
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