Functional connectivity analysis on electroencephalography signals reveals potential biomarkers for treatment response in major depression.

ABSTRACT:

Background

The treatment efficacy varies across individual patients with major depressive disorder (MDD). It lacks robust electroencephalography (EEG) markers for an antidepressant-responsive phenotype.

Method

This is an observational study enrolling 28 patients with MDD and 33 healthy controls (mean age of 40.7 years, and 71.4% were women). Patients underwent EEG exams at baseline (week0) and week1, while controls' EEG recordings were acquired only at week0. A resting eye-closing EEG segment was analyzed for functional connectivity (FC). Four parameters were used in FC analysis: (1) node strength (NS), (2) global efficiency (GE), (3) clustering coefficient (CC), and (4) betweenness centrality (BC).

Results

We found that controls had higher values in delta wave in the

SUBMITTER: Huang SS 

PROVIDER: S-EPMC10394892 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature