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Related Experiment Video

Updated: Jun 11, 2025

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Brain Age Is Not a Significant Predictor of Relapse Risk in Late-Life Depression.

Helmet T Karim1, Andrew Gerlach2, Meryl A Butters2

  • 1Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.

Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|September 30, 2024
PubMed
Summary
This summary is machine-generated.

Brain age did not predict recurrence in late-life depression (LLD). This study found no significant differences in brain age between individuals with LLD and healthy controls, nor did it predict relapse risk.

Keywords:
Brain ageLate-life depressionRecurrenceRelapseRemission

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Gerontology

Background:

  • Late-life depression (LLD) is linked to reduced brain volumes and accelerated brain aging.
  • Longitudinal studies on neurobiological predictors of LLD recurrence are scarce.
  • Machine learning brain age models offer potential for predicting LLD recurrence.

Purpose of the Study:

  • To investigate the prospective association between a machine learning brain age model and LLD recurrence risk.
  • To compare brain age between individuals with LLD and healthy controls.
  • To determine if baseline brain age predicts relapse in remitted LLD patients.

Main Methods:

  • A 2-year longitudinal study included 102 individuals with LLD (in remission) and 43 healthy controls (HCs).
  • Baseline neuroimaging was used to compute brain age via a machine learning algorithm.
  • Cox proportional hazards models assessed the predictive value of baseline brain age for LLD relapse.

Main Results:

  • No significant differences in brain age were observed between HC and LLD groups.
  • Brain age did not differ significantly among HC, remitted LLD, and relapsed LLD groups.
  • Baseline brain age did not significantly predict time to relapse in individuals with LLD.

Conclusions:

  • Contrary to hypotheses, brain age did not differ between healthy controls and individuals with remitted LLD.
  • Brain age was not associated with subsequent LLD recurrence.
  • Findings contrast with some literature on baseline brain age differences but align with studies showing no relapse prediction based on gross structural measures.