Comput Math Methods Med - Weighted phase lag index and graph analysis: preliminary investigation of functional connectivity during resting state in children.

Tópicos

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Resumo

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.

Resumo Limpo

rest state function connect meg data studi children year old weight phase lag index wpli employ estim connect compar coher evalu network structur graph analysi base wpli use determin cluster coeffici c between central bc local coeffici well characterist path length l paramet global interconnected network modular structur also calcul estim function segreg seed region identifi central occipit area base power distribut sensor level alpha band wpli reveal specif connect map differ power coher bc modular show strong level connected occipit area later central sensor c show differ isol area occipit sensor global network shortest l detect alpha band consist local result result agreement find adult indic similar function network children age alpha band integr use wpli graph analysi can help gain better descript rest state network

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