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Updated: May 18, 2026

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Conventional Repetitive Transcranial Magnetic Stimulation for Depression: A Step-by-Step Protocol
Published on: November 21, 2025
[Repetitive transcranial magnetic stimulation in major depression: response factor]
R Dumas1, R Padovani, R Richieri
1Pôle universitaire de psychiatrie, hôpital Sainte-Marguerite, Marseille cedex, France.
L'Encephale
|September 18, 2012
Summary
Repetitive transcranial magnetic stimulation (rTMS) can treat depression, but response predictors vary. Factors like treatment resistance and age influence effectiveness, necessitating personalized stimulation parameters for optimal outcomes in major depressive disorder.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Technology
Context:
- Repetitive transcranial magnetic stimulation (rTMS) is an emerging neuromodulation technique for psychiatric disorders.
- Major depression is a primary target for rTMS, with significant research into its efficacy.
- Predictors of antidepressive response to rTMS require updated synthesis.
Purpose:
- To review and synthesize current knowledge on positive predictors for antidepressive response to rTMS.
- To identify factors influencing rTMS effectiveness in major depression.
- To guide clinical application and future research directions.
Summary:
- A review of 29 studies identified key predictors for rTMS response in depression.
- Negative predictors include treatment resistance, long episode duration, advanced age, and psychotic symptoms.
- Positive predictors involve specific neuroimaging findings (e.g., inferior frontal activity) and stimulation parameters (e.g., intensity >100% motor threshold, >1000 stimulations/session, >10 treatment days).
Impact:
- Findings highlight the need to personalize rTMS parameters based on patient characteristics (e.g., age, cortical atrophy) and depression profile.
- Suggests potential for improved treatment outcomes by tailoring stimulation intensity, duration, and session number.
- Identifies areas for future research, including optimal stimulation protocols, maintenance treatment, and integration with neuroimaging data.

