{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T22:04:10Z","timestamp":1779401050119,"version":"3.53.1"},"reference-count":34,"publisher":"Hindawi Limited","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"name":"Center for Integrated Neuroscience of T\u00fcbingen, Germany","award":["2010-17"],"award-info":[{"award-number":["2010-17"]}]},{"name":"Center for Integrated Neuroscience of T\u00fcbingen, Germany","award":["1982-0-0"],"award-info":[{"award-number":["1982-0-0"]}]},{"name":"Grant Fort\u00fcne","award":["2010-17"],"award-info":[{"award-number":["2010-17"]}]},{"name":"Grant Fort\u00fcne","award":["1982-0-0"],"award-info":[{"award-number":["1982-0-0"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational and Mathematical Methods in Medicine"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>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 (<jats:italic>C<\/jats:italic>) and betweenness centrality (BC) as local coefficients as well as the characteristic path length (<jats:italic>L<\/jats:italic>) as a parameter for global interconnectedness. The network\u2019s 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.<jats:italic>C<\/jats:italic>shows different isolated areas of occipital sensors. Globally, a network with the shortest<jats:italic>L<\/jats:italic>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.<\/jats:p>","DOI":"10.1155\/2012\/186353","type":"journal-article","created":{"date-parts":[[2012,9,24]],"date-time":"2012-09-24T19:16:33Z","timestamp":1348514193000},"page":"1-8","source":"Crossref","is-referenced-by-count":39,"title":["Weighted Phase Lag Index and Graph Analysis: Preliminary Investigation of Functional Connectivity during Resting State in Children"],"prefix":"10.1155","volume":"2012","author":[{"given":"Erick","family":"Ortiz","sequence":"first","affiliation":[{"name":"MEG Center, University of T\u00fcbingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krunoslav","family":"Stingl","sequence":"additional","affiliation":[{"name":"MEG Center, University of T\u00fcbingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jana","family":"M\u00fcn\u00dfinger","sequence":"additional","affiliation":[{"name":"MEG 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