Combining transcranial direct current stimulation and robotic-assisted training to address upper extremity deficits in acute disseminated encephalomyelitis: a case report
Bibliographic record
Abstract
A 45-year-old woman with persistent acute disseminated encephalomyelitis sequelae participated in a 4-week robotic-assisted training program of her affected arm combined with transcranial direct current stimulation. Clinical indicators such as range of motion, motor function of the affected arm, fatigue, pain, spasticity, and quality of life were assessed pre/post-intervention. The results demonstrated clinical benefits post- intervention, with an improvement in range of motion and affected arm motor function, fatigue, and quality of life of the patient. Although preliminary, the results of this case report support the development of innovative technologically assisted rehabilitative strategies for individuals with acute disseminated encephalomyelitis sequelae, including a robot-assisted rehabilitation program coupled with neurostimulation sessions. Further large-scale randomized controlled trials are needed to confirm these findings and rigorously assess the efficacy of this approach in acute disseminated encephalomyelitis individuals.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.001 |
| 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".