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Distinct Predictors of Clinical Response after Repetitive Transcranial Magnetic Stimulation between Bipolar and
Aurélie Lacroix1,2, Aude Paquet1,2,3, Mireille Okassa1
1Unité de Recherche et d'Innovation, Centre Hospitalier Esquirol, 87025 Limoges, France.
Summary
Repetitive transcranial magnetic stimulation (rTMS) effectively treats depression. Specific patient factors predict treatment response in bipolar and unipolar depression, aiding personalized neuromodulation strategies.
Area of Science:
- Neurology
- Psychiatry
- Neuroscience
Background:
- Repetitive transcranial magnetic stimulation (rTMS) is a proven therapy for drug-resistant depression.
- Differentiating between bipolar and unipolar depression is crucial for tailoring rTMS treatments.
- Predicting treatment response in distinct depressive subtypes can optimize patient outcomes.
Purpose of the Study:
- To identify predictors of clinical improvement one month after rTMS in bipolar and unipolar depression.
- To compare clinical conditions between bipolar and unipolar depression patients undergoing rTMS.
- To establish diagnostic-specific factors for predicting rTMS efficacy.
Main Methods:
- Utilized data from a previous study involving 291 patients with depression.
- Compared clinical conditions between bipolar and unipolar patient groups.
- Analyzed factors predicting one-month clinical improvement (M1) post-rTMS for each diagnostic group.
Main Results:
- Bipolar patients showed fewer responders but better sustained improvement in anxiety and illness perception compared to unipolar patients.
- In bipolar depression, young age, fewer medications, and high fatigue predicted M1 improvement.
- In unipolar depression, longer current depressive episode duration and being 'attached' predicted M1 improvement.
Conclusions:
- Specific predictive factors for rTMS response were identified for both bipolar and unipolar depression.
- These findings can enhance the prediction of rTMS efficacy in clinical neuromodulation settings.
- Personalized treatment strategies based on diagnostic-specific predictors can improve rTMS effectiveness.

