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NOT YET RECRUITING
NCT07266103
NA

Mechanistic Study of Personalized rTMS in Chronic Pain

Sponsor: Aalborg University

View on ClinicalTrials.gov

Summary

Previous research has demonstrated that repetitive magnetic brain stimulation can be an effective adjunctive treatment for several conditions, including chronic pain. However, current stimulation protocols are typically standardized and do not account for individual variability in brain function. This uniform, one-size-fits-all approach results in only about 40% of patients experiencing meaningful clinical benefit, while the remainder show little to no improvement. To address this limitation, the present study will investigate how magnetic stimulation can be tailored to individuals with chronic pain. By analyzing each participant's brain signals prior to treatment, we aim to personalize stimulation parameters to better match individual neural characteristics and potentially enhance therapeutic outcomes. The design of this study builds directly on the findings of a previous clinical trial.

Official title: Building on Previous Evidence: A Mechanistic Clinical Trial of Personalized rTMS for Chronic Pain

Key Details

Gender

All

Age Range

18 Years - 80 Years

Study Type

INTERVENTIONAL

Enrollment

90

Start Date

2026-02-01

Completion Date

2028-05-31

Last Updated

2025-12-05

Healthy Volunteers

No

Conditions

Interventions

DEVICE

Classical repetitive trancranial magnetic stimulation to M1

The rTMS intervention consists of 10-Hz rTMS. Thirty trains of ten seconds with an interval of twenty seconds between trains will be delivered, as traditionally performed. Each train includes 100 pulses, and the total number of pulses will be 3,000 given in 15 minutes.

DEVICE

Personalized Target Arm

The rTMS intervention consists of 10-Hz rTMS. Thirty trains of ten seconds will be delivered with an interval of twenty seconds between trains. Each train includes 100 pulses, and the total number of pulses will be 3,000 given in 15 minutes. The rTMS will be delivered to the optimal target