Ontology highlight
ABSTRACT:
SUBMITTER: Engemann DA
PROVIDER: S-EPMC7308092 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Engemann Denis A DA Kozynets Oleh O Sabbagh David D Lemaître Guillaume G Varoquaux Gael G Liem Franziskus F Gramfort Alexandre A
eLife 20200519
Electrophysiological methods, that is M/EEG, provide unique views into brain health. Yet, when building predictive models from brain data, it is often unclear how electrophysiology should be combined with other neuroimaging methods. Information can be redundant, useful common representations of multimodal data may not be obvious and multimodal data collection can be medically contraindicated, which reduces applicability. Here, we propose a multimodal model to robustly combine MEG, MRI and fMRI f ...[more]