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Integration demands modulate effective connectivity in a fronto-temporal network for contextual sentence integration

Authors :
Christin Wendt
Ilona Henseler
Annette Baumgaertner
Max Wawrzyniak
Gesa Hartwigsen
Dorothee Saur
Julian Klingbeil
Anika Stockert
Source :
NeuroImage. 147:812-824
Publication Year :
2017
Publisher :
Elsevier BV, 2017.

Abstract

Previous neuroimaging studies demonstrated that a network of left-hemispheric frontal and temporal brain regions contributes to the integration of contextual information into a sentence. However, it remains unclear how these cortical areas influence and drive each other during contextual integration. The present study used dynamic causal modeling (DCM) to investigate task-related changes in the effective connectivity within this network. We found increased neural activity in left anterior inferior frontal gyrus (aIFG), posterior superior temporal sulcus/middle temporal gyrus (pSTS/MTG) and anterior superior temporal sulcus/MTG (aSTS/MTG) that probably reflected increased integration demands and restructuring attempts during the processing of unexpected or semantically anomalous relative to expected endings. DCM analyses of this network revealed that unexpected endings increased the inhibitory influence of left aSTS/MTG on pSTS/MTG during contextual integration. In contrast, during the processing of semantically anomalous endings, left aIFG increased its inhibitory drive on pSTS/MTG. Probabilistic fiber tracking showed that effective connectivity between these areas is mediated by distinct ventral and dorsal white matter association tracts. Together, these results suggest that increasing integration demands require an inhibition of the left pSTS/MTG, which presumably reflects the inhibition of the dominant expected sentence ending. These results are important for a better understanding of the neural implementation of sentence comprehension on a large-scale network level and might influence future studies of language in post-stroke aphasia after focal lesions.

Details

ISSN :
10538119
Volume :
147
Database :
OpenAIRE
Journal :
NeuroImage
Accession number :
edsair.doi.dedup.....134b6475a5211c68c6e125d5df5c9384
Full Text :
https://doi.org/10.1016/j.neuroimage.2016.08.026