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

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 compared these MRVE connectivity pat

SUBMITTER: Godfrey M 

PROVIDER: S-EPMC7836237 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature