Hyperedge bundling: Data, source code, and precautions to modeling-accuracy bias to synchrony estimates.

ABSTRACT: It has not been well documented that MEG/EEG functional connectivity graphs estimated with zero-lag-free interaction metrics are severely confounded by a multitude of spurious interactions (SI), i.e., the false-positive "ghosts" of true interactions [1], [2]. These SI are caused by the multivariate linear mixing between sources, and thus they pose a severe challenge to the validity of connectivity analysis. Due to the complex nature of signal mixing and the SI problem, there is a need to intuitively demonstrate how the SI are discovered and how they can be attenuated using a novel approach that we termed hyperedge bundling. Here we provide a dataset with software with which the readers can perform simulations in order to better understand the theory and the solution to SI. We include the s

SUBMITTER: Wang SH 

PROVIDER: S-EPMC5996227 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature