Ontology highlight
ABSTRACT: Objective
Late-life depression (LLD) is characterized by accelerated biological aging. Accelerated brain aging, estimated from structural magnetic resonance imaging (sMRI) data by a machine learning algorithm, is associated with LLD diagnosis, poorer cognitive performance, and disability. We hypothesized that accelerated brain aging moderates the antidepressant response.Design and interventions
Following MRI, participants entered an 8-week randomized, controlled trial of escitalopram. Nonremitting participants then entered an open-label 8-week trial of bupropion.Participants
Ninety-five individuals with LLD.Measurements
A machine learning algorithm estimated each participant's brain age from sMRI data. This was used to calculate the brain-age gap (BAG), or h
SUBMITTER: Ahmed R
PROVIDER: S-EPMC9142760 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature