Ontology highlight
ABSTRACT: Objective
Assessing depression in psychiatry relies on subjective measures that may not adequately reflect the disorder's biology. Electroencephalography offers an objective and scalable approach for gathering data with potential for characterizing major depressive disorder. We explore the potential of a combination of EEG-based neurocognitive measures for the characterization of depression.Methods
Resting state measures and electrophysiological responses during emotional faces recognition and a three-choice vigilance task, were examined in a sample of depressed patients and healthy controls.Results
The findings revealed differences in resting state spectral power measures in the theta, alpha, and beta ranges. Relative alpha power in eyes open condition was decrease
SUBMITTER: Kovacevic N
PROVIDER: S-EPMC12058406 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature