Apr 1, 2020

Measuring robust functional connectivity from resting-state MEG using amplitude and entropy correlation across frequency-bands and temporal scales

BioRxiv : the Preprint Server for Biology
Megan Godfrey, K. D. Singh

Abstract

Recent studies have shown how MEG can reveal spatial patterns of functional connectivity using frequency-specific oscillatory coupling measures and that these may be modified in disease. However, there is a need to understand both how repeatable these patterns are across participants and how these measures relate to the moment-to-moment variability (or 'irregularity') of neural activity seen in healthy brain function. In this study, we used Multi-scale Rank-Vector Entropy (MRVE) to calculate the dynamic timecourses of signal variability over a range of temporal scales. The correlation of MRVE timecourses was then used to detect functional connections in resting state MEG recordings that were robust over 183 participants and varied with temporal scale. We then compared these MRVE connectivity patterns to those derived using more standard amplitude-amplitude coupling measures, using methods designed to quantify the consistency of these patterns across participants. Using oscillatory amplitude envelope correlation (AEC), the most consistent connectivity patterns, across the cohort, were seen in the alpha and beta frequency bands. At fine temporal scales (corresponding to 'scale frequencies', fs = 30-150Hz), MRVE correlation detect...Continue Reading

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Mentioned in this Paper

Pachyneurum grandiflorum
Study
Genome
Genes
Cistanthe grandiflora
Coursetia grandiflora
Callicarpa rubella
Genome Assembly Sequence
Bud - CHV Concept
Capsella Preparation

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