Personalized Treatment by rTMS in Chronic Pain - Study2
NCT ID: NCT07247552
Last Updated: 2025-12-01
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
90 participants
INTERVENTIONAL
2025-04-01
2026-06-30
Brief Summary
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Detailed Description
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Several strategies currently aim to provide a more individualized strategy for choosing analgesic interventions based on patient-related information. To allow for the design of efficacy trials in the future, the present project is based on a proof-of-concept, mechanistic design. It will employ M1 rTMS stimulation for pain reduction. However, based on everyone's brain signals as read by EEG recorded before the start of the treatment it will be determined whether the patient is most likely to respond or not. Therefore, before receiving a full rTMS treatment, patients will undergo a neurophysiological screening session using single-pulse TMS-EEG. Single-pulse TMS and EEG have been routinely used in the clinic as a part of the neurophysiological assessment of patients for decades but have not yet been used in the association as an attempt to try to guide who will become a responder to the treatment. In the screening session, single pulses TMS will be applied to the primary network hub used as current best-practice in therapeutic rTMS: M1. Concomitantly, the EEG oscillatory activity of this cortical area will be recorded, and the brain connectivity state will be assessed. By using information derived from a patient´s brain connectivity state using transcranial magnetic stimulation with electroencephalography (TMS-EEG), it will be determined if the participant is most likely to respond or not. High oscillatory activity is expected to result in becoming a non-responder.
A total of 90 subjects with chronic pain will be included in a double-blind, randomized two parallel-arm study aiming to be able to accurately predict who will become a responder and a non-responder based on high oscillatory activity.
In the initial baseline measurement, the subjects will fill out questionnaires and undergo neurophysiological assessments which include rest EEG, TMS-EEG of M1, rTMS-EEG, followed by a repetition of TMS-EEG of M1 and rest EEG. After this baseline measurement, the subjects will receive daily rTMS sessions targeting M1 (called induction phase) for 5 consecutive days (Monday to Friday). Each of the 5 daily stimulations will last 30 minutes, of which 15 minutes will be under treatment.
The induction phase will be followed by a 7-week maintenance phase, with 1 rTMS session per week (totalling 7 rTMS sessions). At the end of the maintenance phase, primary and secondary outcomes (questionnaires) will be collected to investigate the efficacy of the rTMS treatments. These questionnaires will also be sent to participants 12 weeks following end of treatment. A random subsample of 30 participants will be asked if they would like to participate in a second 3-hour neurophysiological assessment to investigate the changes in brain connectivity.
Conditions
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Study Design
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NA
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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Classical rTMS to M1
This is a prospective, single-arm interventional study designed to evaluate the predictive value of a neurophysiological biomarker for rTMS response in chronic pain patients. Patients will be allocated to two groups according to their baseline M1 connectivity at baseline in a 1:1 proportion. Patients with "low" connectivity will be compared to controls having "high" connectivity. All patients will receive repetitive transcranial magnetic stimulation (rTMS) to the primary cortex (M1). Low connectivity will be defined by TMS-EEG evoked responses. Responses to a single pulse of TMS delivered to M1 before therapy. TMS-EEG responses will be analysed by phase- and power-based metrics such as global mean field power and inter-trial coherence in the alpha band, according to previous studies. The study main hypothesis is that pre-therapy M1 low connectivity is a predictor of response to M1 rTMS.
rTMS 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. All patients will receive 14 sessions of rTMS.
Interventions
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rTMS 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. All patients will receive 14 sessions of rTMS.
Eligibility Criteria
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Inclusion Criteria
* Pain with a mean pain intensity between 3-9 on a 0-10 pain scale (where 0 means no pain and 10 means the worst pain imaginable).
* Speak and understand English or Danish
Exclusion Criteria
* Current uncontrolled major depression as the main diagnosis
* Current history of substance abuse
* Lack of ability to cooperate, to fully understand the protocol or any difficulty in filling out questionnaires (e.g., due to language or cognitive problems)
* Formal contraindications to TMS application (presence of epilepsy, cranial implanted ferromagnetic devices, e.g., intracranial neurostimulator or cochlear implants, tattoos with metal ink on the face or permanent make up with metal in the face )
* Unable to answer the "Transcranial Magnetic Stimulation Adult Safety Screen" screening questionnaire.
* Participation in other research protocols within 1 month before the inclusion.
18 Years
80 Years
ALL
No
Sponsors
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Aalborg University
OTHER
Responsible Party
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Margit Midtgaard Bach
Dr.
Principal Investigators
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Margit M Bach, PhD
Role: PRINCIPAL_INVESTIGATOR
Aalborg University
Locations
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Aalborg University
Gistrup, , Denmark
Countries
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Central Contacts
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Daniel C de Andrade
Role: CONTACT
Facility Contacts
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Daniel C de Andrade, Prof
Role: backup
Other Identifiers
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N-20230076-3
Identifier Type: -
Identifier Source: org_study_id
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