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EnglishResting state functional connectivity ofMEG 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 onWPLI 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.
| Titolo: | Weighted phase lag index and graph analysis: preliminary investigation of functional connectivity during resting state in children |
| Autori: | E., Ortiz; K., Stingl; J., Münßinger; Braun, Heinrich Christoph; H., Preissl; P., Belardinelli |
| Autori Unitn: | |
| Titolo del periodico: | COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE |
| Anno di pubblicazione: | 2012 |
| Codice identificativo Scopus: | 2-s2.0-84867304008 |
| Codice identificativo ISI: | WOS:000309284400001 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1155/2012/186353 |
| Handle: | http://hdl.handle.net/11572/96670 |
| Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
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