Resting state functional connectivity patterns as biomarkers of treatment response to escitalopram in patients with major depressive disorder.

ABSTRACT:

Rational

With no available response biomarkers, matching an appropriate antidepressant to an individual can be a lengthy process. Improving understanding of processes underlying treatment responsivity in depression is crucial for facilitating work on response biomarkers.

Objectives

To identify differences in patterns of pre-treatment resting-state functional connectivity (rsFC) that may underlie response to antidepressant treatment.

Methods

After a baseline MRI scan, thirty-four drug-free patients with depression were treated with an SSRI escitalopram 10 mg daily for 6 weeks; response was defined as ≥ 50% decrease in Hamilton Depression Rating Scale (HAMD) score. Thirty-one healthy controls had a baseline clinical assessment and scan. Healthy participants did not rece

SUBMITTER: Martens MAG 

PROVIDER: S-EPMC9584978 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature