Machine Learning in Guiding rTMS Treatment for GWI-Related Headaches and Body Pain
Public ClinicalTrials.gov record NCT07325513. Field values are reproduced from the official study page; the official ClinicalTrials.gov record remains the source of truth for eligibility, enrollment, and contact information.
Data is sourced from official ClinicalTrials.gov public API records. Always review the official ClinicalTrials.gov record for the latest information.
Brief summary
Reproduced verbatim from the official ClinicalTrials.gov record. Not medical advice.
The goal of this clinical trial is to create a machine learning algorithm to improve active repetitive transcranial magnetic stimulation (rTMS) treatments for veterans and/or active military personnel by alleviating Gulf War Illness related headaches and body pain (GWI-HAP). This study aims to develop and validate a Support Vector Machine (SVM) model that could replace the trial-and-error process by assessing functional connectivity provided by resting state functional magnetic resonance imaging (rs-fMRI) data to predict the most effective rTMS protocol for each person. All participants will be receiving active rTMS treatment. The main questions it intends to answer are: 1. Does the SVM model predict a more effective treatment response rate for predicted respondents undergoing active rTMS at the left dorsolateral prefrontal cortex (DLPFC) compared to predicted non-respondents? 2. Does the SVM model predict a more effective treatment response rate while undergoing active rTMS at the left dorsolateral prefrontal cortex (DLPFC) and left motor cortex (LMC) in predicted respondents compared to predicted non-respondents? Participants will undergo the following: 1. Receive a total of 13 active rTMS treatment sessions over 3-4 months. 2. Visit the clinic for a total of 15 visits for assessments, check ups, and treatments. 3. Keep a daily log of their headaches, muscle and joint pain throughout the study.
Study identification
- NCT ID
- NCT07325513
- Recruitment status
- Recruiting
- Study type
- Interventional
- Phase
- Not applicable
- Enrollment
- 140 participants
Conditions and interventions
Conditions
Eligibility (public fields only)
- Age range
- 18 Years to 65 Years
- Sex
- All
- Healthy volunteers
- Healthy volunteers not accepted
This page does not interpret eligibility. Detailed inclusion and exclusion criteria are on the official ClinicalTrials.gov record.
Study timeline
- Start date
- Mar 24, 2026
- Primary completion
- Sep 30, 2029
- Completion
- Sep 30, 2029
- Last update posted
- Apr 12, 2026
2026 – 2029
United States locations
- U.S. sites
- 1
- U.S. states
- 1
- U.S. cities
- 1
| Facility | City | State | ZIP | Site status |
|---|---|---|---|---|
| Jennifer Moreno Department of Veterans Affairs Medical Center | San Diego | California | 92161 | Recruiting |
Site contact phone numbers, emails, and investigator names are intentionally not displayed here. Open the official ClinicalTrials.gov record for site contact information.
About this trial record page
- What this page shows
- Public field values for ClinicalTrials.gov record NCT07325513, including study identification, conditions, interventions, eligibility (age, sex, healthy volunteer), timeline, and U.S. site list.
- What this page does not do
- No medical advice, eligibility judgments, treatment recommendations, study quality scoring, or AI-generated medical summaries. No site contact phone numbers, emails, or investigator names.
- Where the data comes from
- Sourced from the official ClinicalTrials.gov public API. The official record is the source of truth.
- Last refresh
- Last update posted Apr 12, 2026 · Synced Sep 8, 2026
Related: full search, browse by condition, browse by drug or therapy, browse by sponsor, browse by U.S. city.
Open the official record
The complete protocol, eligibility criteria, and contact information for NCT07325513 live on ClinicalTrials.gov.