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Cognitive function in late-life depression after modified electroconvulsive therapy: A stratified analysis.

Zhen Wenfeng1, Wu Han1, Ren Li1

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Summary

Patients with late-life depression (LLD) who have more severe baseline cognitive deficits, particularly in naming and recall, show the most cognitive improvement after modified electroconvulsive therapy (MECT). Those with preserved cognition need closer monitoring.

Keywords:
Cognitive functionCohort studiesLate-life depressionModified Electroconvulsive Therapy (MECT)Risk factor

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Area of Science:

  • Neuroscience
  • Geriatric Psychiatry
  • Cognitive Science

Background:

  • Modified electroconvulsive therapy (MECT) in late-life depression (LLD) presents variable cognitive outcomes.
  • Emerging evidence links MECT cognitive effects to metabolic and mitochondrial health.
  • Baseline cognitive impairment may represent reversible metabolic suppression.

Purpose of the Study:

  • Identify baseline clinical and cognitive predictors of cognitive change post-MECT in LLD.
  • Demonstrate that specific baseline deficits predict cognitive improvement.
  • Establish early post-treatment markers for cognitive outcomes.

Main Methods:

  • Assessed 65 LLD patients' cognitive status one week post-MECT using the Montreal Cognitive Assessment (MoCA).
  • Defined improvement as a ≥2-point MoCA increase; stability/decline as <2 points.
  • Utilized binomial logistic regression to analyze baseline demographics, HAMD-17, HAMA, MMSE, and MoCA scores as predictors.

Main Results:

  • Both groups achieved similar antidepressant efficacy.
  • Patients improving cognitively had higher baseline cognitive disturbance and lower MMSE/MoCA scores.
  • Impaired naming and delayed recall were negative predictors; post-treatment orientation was a positive predictor.

Conclusions:

  • MECT effectively treats depressive and anxiety symptoms in LLD.
  • Greater baseline cognitive deficits predict greater cognitive gains post-MECT.
  • Serial MoCA tracking, especially orientation, aids personalized treatment planning and risk-benefit assessment.