Neuropsychological prediction of recovery in late-onset major depression
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Closed-Loop Neurostimulation for Biomarker-Driven, Personalized Treatment of Major Depressive Disorder
Published on: July 7, 2023
Teodor Marcos1, Maria J Portella, Victor Navarro
1Clinical Psychology Department, Institut Clínic de Psiquiatría y Psicología, Hospital Clínic de Barcelona, Barcelona, Spain. tmarcos@clinic.ub.es
Objectives:
To assess antidepressant response in late-onset major depression in relation to neuropsychological domains: attention, memory and planning.
Methods:
A neuropsychological battery was administered in 30 medication-free patients with late-onset major depression, who were then included in a 12-week antidepressant treatment regimen within a 12-month follow-up period. Logistic regression was used to define a predictive model of recovery.
Results:
Eighteen patients were classed as remitters and seven as non-remitters. The 'indexrem' refers to the results of a logistic regression from verbal learning and planning and had a global predictive power of 84%.
Conclusions:
Our study suggests that the balance between verbal learning (memory) and planning (executive function)-both related to the dorsolateral prefrontal cortex-could predicts recovery.
