Investigating Brain States for Stroke Recovery with TMS
This study is exploring how a technique called Single-pulse TMS (Transcranial Magnetic Stimulation) can help people who have had a stroke and still have weakness in their arm or hand. Researchers are trying to find specific brain activity patterns that show when TMS can best strengthen the connections in the brain that control movement (corticospinal tract). This is the first time this approach, which uses a special computer program to identify these personalized brain patterns, is being used in people who have had a stroke. To join, you must be an adult (18 or older) who had a stroke at least 6 months ago and still has some arm or hand weakness. The main goal is to see how well this personalized approach works by the end of the study, which is about two weeks long. The current recruitment status is unclear.
- Study design
- This is an interventional study with a planned enrollment of 20 participants. It is not specified if it is randomized or blinded.
- What's involved
- Not specified in the trial record.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, personalized classifier performance, is measured through study completion, an average of 2 weeks.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Identifying Personalized Brain States Predicting Residual Corticospinal Tract Output After Stroke
At a glance
Conditions
NCT06365099
Where you'd take part
This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
University of Texas at Austin
Austin, Texasstudy coordinator listed
Recruiting
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
What this trial measures
- Personalized classifier performanceThrough study completion, an average of 2 weeks.
Personalized machine learning classifiers will be used to discriminate between brain activity patterns during which single-pulse TMS elicits large and small motor-evoked potentials from the affected first dorsal interosseous muscle. After fitting each personalized classifier, F1 values will be calculated and used as performance metrics. F1 values will be compared to the empirical chance level, which will be determined using participant-specific permutation testing.