Using Dual-Target rTMS, Single-Target rTMS, or Sham rTMS on Post-Stroke Cognitive Impairment
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Bibliographic record
Abstract
Background: The clinical application of 10 Hz repetitive transcranil magnetic stimulation (rTMS) remains limited despite its demonstrated effectiveness in enhancing cortical excitability and improving cognitive function. The present study used a novel stimulus target [left dorsolateral prefrontal cortex + primary motor cortex] to facilitate the enhancement of cognitive function through the bidirectional promotion of cognitive and motor functions; Methods: Post-stroke cognitive impairment patients (n = 48) were randomly assigned to receive either dual-target, single-target, or sham rTMS for 4 weeks. Before and after 4 weeks of treatment, participants were asked to complete the Montreal Cognitive Assessment (MoCA) test, the Modified Barthel Index (MBI), the Trail-making Test (TMT), and the Digital Span Test (DST). In addition, the levels of brain-derived neurotrophic factor (BDNF) and vascular endothelial growth factor (VEGF) in serum were also measured. Results: After adjusting for pre-intervention (baseline) MoCA scores, the post-intervention MoCA scores varied significantly. After post-hoc analysis, differences existed between the post-treatment scores of the dual-target rTMS group and the sham rTMS group (the experimental group scores were significantly higher), and between those of the dual-target rTMS group and the single-target rTMS group (the dual-target rTMS scores were significantly higher). The serum VEGF levels of the dual-target rTMS group were significantly higher those that of the sham rTMS group. Conclusions: The present study presented data showing that a dual-target rTMS therapy is effective for Post-stroke cognitive impairment (PSCI). The stimulation exhibited remarkable efficacy, suggesting that dual-target stimulation (left dorsolateral prefrontal cortex+motor cortex (L-DLPFC+M1)) holds promise as a potential target for TMS therapy in individuals with cognitive impairment after stroke. Clinical Trial Registration: No: ChiCTR220066184. Registered 26 November, 2022, https://www.chictr.org.cn.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it