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Updated: Apr 20, 2026

Robotically Delivered fMRI-Guided Personalized Transcranial Magnetic Stimulation Therapy for Treatment-Resistant Depression
Published on: April 10, 2026
Does cognition predict treatment response and remission in psychotherapy for late-life depression?
Sherry A Beaudreau1, Tiffany Rideaux2, Ruth O'Hara1
1Sierra Pacific Mental Illness Research Education and Clinical Centers, Palo Alto VA Health Care System, Palo Alto, CA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA; School of Psychology, University of Queensland, Brisbane, Australia.
Objectives:
To identify cognitive predictors of geriatric depression treatment outcome.
Method:
Older participants completed baseline measures of memory and executive function, health, and baseline and post-treatment Hamilton Depression Scales (HAM-D) in a 12-week trial comparing psychotherapies (problem-solving vs. supportive; N = 46). We examined cognitive predictors to identify treatment responders (i.e., HAM-D scores reduced by ≥50%) and remitters (i.e., post-treatment HAM-D score ≤10).
Results:
Empirically derived decision trees identified poorer performance on switching (i.e., Trails B), with a cut-score of ≥82 predicting psychotherapy responders. No other cognitive or health variables predicted psychotherapy outcomes in the decision trees.
Conclusions:
Psychotherapies that support or improve the executive skill of switching may augment treatment response for older patients exhibiting executive dysfunction in depression. If replicated, Trails B has potential as a brief cognitive tool for clinical decision-making in geriatric depression.
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