Tensor decomposition of TMS-induced EEG oscillations reveals data-driven profiles of antiepileptic drug effects.

ABSTRACT: Transcranial magnetic stimulation combined with electroencephalography is a powerful tool to probe human cortical excitability. The EEG response to TMS stimulation is altered by drugs active in the brain, with characteristic "fingerprints" obtained for drugs of known mechanisms of action. However, the extraction of specific features related to drug effects is not always straightforward as the complex TMS-EEG induced response profile is multi-dimensional. Analytical approaches can rely on a-priori assumptions within each dimension or on the implementation of cluster-based permutations which do not require preselection of specific limits but may be problematic when several experimental conditions are tested. We here propose an alternative data-driven approach based on PARAFAC tensor decompos

SUBMITTER: Tangwiriyasakul C 

PROVIDER: S-EPMC6864053 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature