Brain network of semantic integration in sentence reading: insights from independent component analysis and graph theoretical analysis.

Abstract:

:A set of cortical and sub-cortical brain structures has been linked with sentence-level semantic processes. However, it remains unclear how these brain regions are organized to support the semantic integration of a word into sentential context. To look into this issue, we conducted a functional magnetic resonance imaging (fMRI) study that required participants to silently read sentences with semantically congruent or incongruent endings and analyzed the network properties of the brain with two approaches, independent component analysis (ICA) and graph theoretical analysis (GTA). The GTA suggested that the whole-brain network is topologically stable across conditions. The ICA revealed a network comprising the supplementary motor area (SMA), left inferior frontal gyrus, left middle temporal gyrus, left caudate nucleus, and left angular gyrus, which was modulated by the incongruity of sentence ending. Furthermore, the GTA specified that the connections between the left SMA and left caudate nucleus as well as that between the left caudate nucleus and right thalamus were stronger in response to incongruent vs. congruent endings.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Ye Z,Doñamayor N,Münte TF

doi

10.1002/hbm.22182

subject

Has Abstract

pub_date

2014-02-01 00:00:00

pages

367-76

issue

2

eissn

1065-9471

issn

1097-0193

journal_volume

35

pub_type

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