Effects of the intermittent theta burst stimulation on gait, balance and lower limbs motor function in stroke: study protocol for a double-blind randomised controlled trial with multimodal neuroimaging assessments
Bibliographic record
Abstract
INTRODUCTION: Approximately, 50% of stroke survivors experience impaired walking ability 6 months after conventional rehabilitation and standard care. However, compared with upper limb motor function, research on lower limbs rehabilitation through non-invasive neuromodulation like repetitive transcranial magnetic stimulation (rTMS) has received less attention. Limited evidence exists regarding the effectiveness of intermittent theta-burst stimulation (iTBS), an optimised rTMS modality, on lower limbs rehabilitation after stroke. This study aims to evaluate the effects of iTBS on gait, balance and lower limbs motor function in stroke recovery while also exploring the underlying neural mechanisms using longitudinal analysis of multimodal neuroimaging data. METHODS AND ANALYSIS: In this double-blinded randomised controlled trial, a total of 46 patients who had a stroke will be randomly assigned in a 1:1 ratio to receive either 15 sessions of leg motor area iTBS consisting of 600 pulses or sham stimulation over the course of 3 weeks. Additionally, conventional rehabilitation therapy will be administered following the (sham) iTBS intervention. The primary outcome measure will be the 10 m walking test. Secondary outcomes include the Fugl-Meyer assessment of the lower extremity, Timed Up and Go Test, Functional Ambulation Category Scale, Berg Balance Scale, modified Barthel Index, Mini-Mental State Examination, montreal cognitive assessment, tecnobody balance assessment encompassing both static and dynamic stability evaluations, surface electromyography recording muscle activation of the lower limbs, three-dimensional gait analysis focusing on temporal and spatial parameters as well as ground reaction force measurements, corticomotor excitability tests including resting motor threshold, motor evoked potential and recruitment curves and multimodal functional MRI scanning. Outcome measures will be collected prior to and after the intervention period with follow-up at 3 weeks. ETHICS AND DISSEMINATION: The study has received approval from the Medical Research Ethics Committee of Wuxi Mental Health Center/Wuxi Central Rehabilitation Hospital (no. WXMHCCIRB2023LLky078). Results will be disseminated through peer-reviewed journals and scientific conferences. TRIAL REGISTRATION NUMBER: ChiCTR2300077431.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.008 | 0.003 |
| Meta-epidemiology (broad) | 0.017 | 0.005 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".