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

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 (...

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Bibliographic Details
Main Authors: Vandenberghe, R, Wang, Y, Nelissen, N, Vandenbulcke, M, Dhollander, T, Sunaert, S, Dupont, P
Format: Journal article
Language:English
Published: 2013
Description
Summary: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. © 2012 Elsevier Inc.