Comput Math Methods Med - Redundancy as a graph-based index of frequency specific MEG functional connectivity.

Tópicos

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Resumo

We used a recently proposed graph index to investigate connectivity redundancy in resting state MEG recordings. Usually, brain network analyses consider indexes linked to the shortest paths between cerebral regions. However, important information might be lost about alternative trails by neglecting longer pathways. We measured the redundancy of the connectivity by considering the multiple paths at the global level (i.e., scalar redundancy), across different path lengths (i.e., vector redundancy), and between node pairs (i.e., matrix redundancy). We applied this approach to a robust frequency domain functional connectivity measure, the corrected imaginary part of coherence. The redundancy in the MEG networks, for each frequency band, was significantly (P < 0.05) higher than in the random graphs, thus, confirming a natural tendency of the brain to present multiple interaction pathways between different specialized areas. Notably, this difference was more evident and localized among the channels covering the parietooccipital areas in the alpha range of MEG oscillations (7.5-13Hz), as expected in the resting state conditions. Interestingly enough, the results obtained with the redundancy indexes were poorly correlated with those obtained using shortest paths only, and more sensitive with respect to those obtained by considering walk-based indexes.

Resumo Limpo

use recent propos graph index investig connect redund rest state meg record usual brain network analys consid index link shortest path cerebr region howev import inform might lost altern trail neglect longer pathway measur redund connect consid multipl path global level ie scalar redund across differ path length ie vector redund node pair ie matrix redund appli approach robust frequenc domain function connect measur correct imaginari part coher redund meg network frequenc band signific p higher random graph thus confirm natur tendenc brain present multipl interact pathway differ special area notabl differ evid local among channel cover parietooccipit area alpha rang meg oscil hz expect rest state condit interest enough result obtain redund index poor correl obtain use shortest path sensit respect obtain consid walkbas index

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