Weighted phase lag index and graph analysis: preliminary investigation of functional connectivity during resting state in children
type: Item
instance of: scholarly article
title: Weighted phase lag index and graph analysis: preliminary investigation of functional connectivity during resting state in children
zbMATH Open document ID: 1401.92035
DOI: 10.1155/2012/186353
author: Erick Ortiz
author: Krunoslav Stingl
author: Jana Münßinger
author: Christoph Braun
author: Hubert Preissl
author: Paolo Belardinelli
published in: Computational \& Mathematical Methods in Medicine
publication date: 2012-10-10T00:00:00Z
review text: Summary: Resting state functional connectivity of MEG data was studied in 29 children (9-10 years old). The weighted phase lag index (WPLI) was employed for estimating connectivity and compared to coherence. To further evaluate the network structure, a graph analysis based on WPLI was used to determine clustering coefficient (C) and betweenness centrality (BC) as local coefficients as well as the characteristic path length (L) as a parameter for global interconnectedness. The network's modular structure was also calculated to estimate functional segregation. A seed region was identified in the central occipital area based on the power distribution at the sensor level in the alpha band. WPLI reveals a specific connectivity map different from power and coherence. BC and modularity show a strong level of connectedness in the occipital area between lateral and central sensors. C shows different isolated areas of occipital sensors. Globally, a network with the shortest L is detected in the alpha band, consistently with the local results. Our results are in agreement with findings in adults, indicating a similar functional network in children at this age in the alpha band. The integrated use of WPLI and graph analysis can help to gain a better description of resting state networks.
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 05C90
Mathematics Subject Classification ID: 92C42
zbMATH DE Number: 6092355
zbMATH Keywords: resting state functional connectivity
zbMATH Keywords: graph analysis
zbMATH Keywords: central occipital area
Wikidata QID: Q36291913
describes a project that uses: FieldTrip
describes a project that uses: Brain Connectivity Toolbox
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/186353
OpenAlex ID: W2015933529
cites work: Community structure in social and biological networks
DBLP publication ID: journals/cmmm/OrtizSMBPB12
description: scientific article; zbMATH DE number 6092355