The associative-semantic network for words and pictures: effective connectivity and graph analysis.

Abstract:

:Explicit associative-semantic processing of words and pictures activates a distributed set of brain areas that has been replicated across a wide range of studies. We applied graph analysis to examine the structure of this network. We determined how the left ventral occipitotemporal transition zone (vOT) was connected to word-specific areas. A modularity analysis discerned four communities: one corresponded to the classical perisylvian language system, including superior temporal sulcus (STS), middle temporal gyrus (GTm) and pars triangularis of the inferior frontal gyrus (GFi), among other nodes. A second subsystem consisted of vOT and anterior fusiform gyrus along with hippocampus and intraparietal sulcus. The two subsystems were linked through a unique connection between vOT and GTm, which were hubs with a high betweenness centrality compared to STS and GFi which had a high local clustering coefficient. Graph analysis reveals novel insights into the structure of the network for associative-semantic processing.

journal_name

Brain Lang

journal_title

Brain and language

authors

Vandenberghe R,Wang Y,Nelissen N,Vandenbulcke M,Dhollander T,Sunaert S,Dupont P

doi

10.1016/j.bandl.2012.09.005

subject

Has Abstract

pub_date

2013-11-01 00:00:00

pages

264-72

issue

2

eissn

0093-934X

issn

1090-2155

pii

S0093-934X(12)00167-8

journal_volume

127

pub_type

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