Improvement in gait and functional abilities in an adult with posterior cortical atrophy after translingual neuromodulation with neurorehabilitation physical therapy: a case report
Bibliographic record
Abstract
Background Posterior cortical atrophy (PCA) is a neurodegenerative syndrome characterized by progressive damage to the brain’s visual and association areas, resulting in impaired spatial awareness, visual processing, and functional independence.Purpose This report examines the effects of a 14-week treatment protocol consisting of translingual neuromodulation via a portable neuromodulation stimulator (PoNS®Footnote1) in conjunction with physical therapy on balance, gait, and functional mobility in an adult male with PCA.Case description Assessments included objective and subjective measures of balance and gait – the 10-Metre Walk Test, Functional Gait Assessment (FGA), Dynamic Gait Index (DGI), Community Balance and Mobility Scale (CB&M), Neuro-Quality of Life (Neuro-QoL), and Activities-specific Balance Confidence (ABC) Scale. These were performed at baseline and weeks 4, 8, and 14 to evaluate the protocol’s efficacy in improving balance, stability, and gait.Outcomes Postural stability, balance, gait patterning, and gait speed improved, enhancing daily functioning abilities and self-confidence. Gait speed improved by 0.48 m/s (comfortable) and 0.46 m/s (fast), exceeding MDC thresholds. The participant’s FGA score increased 21 points and DGI increased 17 points, both exceeding their respective MDC thresholds (6 points for FGA, 3.2 points for DGI), reflecting marked gait improvements. The CB&M score rose 24 points, exceeding the MDC of 9.6 points. Despite these gains, gait speed remained below age-related norms.Conclusion Given the largely positive response to the protocol, further investigation should be undertaken to continue to explore the efficacy of PoNS® and physical therapy to determine its viability as a treatment for symptoms of PCA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".