The effects of low frequency electrical stimulation on connectivity changes in the brain and motor function after ischemic stroke
Bibliographic record
Abstract
Objective To investigate any changes in motor functional connectivity in the brains of acute ischemic stroke patients after low frequency electrical stimulation.Methods Twenty-five ischemic stroke patients were given low frequency electrical stimulation in addition to their conventional rehabilitation treatment.Another 20 patients received only conventional treatment as a control group.Resting-state functional magnetic resonance imaging (rs-fMRl)was employed to assess motor function connectivity in the brains of all 45 subjects before and after treatment.Any differences in functional impairment,extremity motor function or ability in the activities of daily living were also recorded before and after treatment.Results In both groups,average scores on the Canadian neurological scale (CNS)and the National Institutes of Health stroke scale (NIHSS) had been reduced significantly after treatment and FuglMeyer assessment (FMA) and modified Barthel index (MBI) scores had significantly increased.The average improvements in terms of FMA and MBI scores were significantly greater in the observation group.Compared with before treatment,the coefficient of functional connectivity of the bilateral motor cortex had decreased significantly after treatment in both groups.In the observation group the changes were significantly correlated with the improvements in FMA scores.Conclusion Neural functional impairment after ischemic stroke can be reduced significantly and extremity motor function and ability in the activities of daily living can be significantly improved by low frequency electrical stimulation. Key words: Stroke; Functional magnetic resonance imaging; Motor cortex
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".