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- Title
Electroencephalographic Biomarkers for Predicting Antidepressant Response: New Methods, Old Questions.
- Authors
Grzenda, Adrienne; Widge, Alik S.
- Abstract
Rolle et al[3] further attempted to align their EEG predictors with the fMRI literature, which emphasizes resting-state functional connectivity (ie, depression as a network illness).[4] Connectivity analysis in EEG is hindered by volume conduction-electrical signal correlations that are not caused by information traveling along axons, but by direct electrical conduction through the cerebrospinal fluid. Rolle et al[3] adapted a technique called power envelope connectivity, which removes most volume conduction from EEG connectivity estimates.[5] They then computed EEG connectivity between regions of interest defined by a prior fMRI study. From this data-driven, fMRI-informed analysis, Rolle et al[3] identified multiple connections that correlated with the 8-week slope of symptom improvement (treatment moderators).
- Subjects
BIOLOGICAL tags; FUNCTIONAL magnetic resonance imaging
- Publication
JAMA Psychiatry, 2020, Vol 77, Issue 4, p347
- ISSN
2168-622X
- Publication type
editorial
- DOI
10.1001/jamapsychiatry.2019.3749