Patterns of Motor Learning in Patients with Spinocerebellar Ataxia
Bibliographic record
Abstract
Introduction: Spinocerebellar ataxia (SCA) is an autosomal dominant disorder that results from atrophy of neural structures, most commonly the cerebellum. The cerebellum plays an integral role in motor learning and movement execution. Damage to this structure can lead to a lack of coordination and voluntary muscle control. This is known as ataxia. Patients with ataxia tend to show impaired performance on motor learning tasks. To our knowledge, the characteristics of these impairments and their correlation with SCA subtypes has yet to be examined. We sought to explore the motor learning patterns of patients with various subtypes of SCA across different motor learning paradigms. Methods: We conducted a narrative review exploring SCA and patient performance on motor learning tasks. Relevant studies were identified using search terms such as spinocerebellar ataxia AND rotation/perturbation/adaptation. Results from these studies were analyzed qualitatively based on the SCA subtype investigated, the type of motor learning task completed, and the presence of an implicit or explicit learning paradigm. Results: We identified 17 studies of interest which broadly examined SCA1, SCA3, SCA6, SCA8, and SCA31. Preliminary results show that during motor learning tasks, patients with SCA consistently displayed a diminished ability to adapt their movements, characterized by limited changes in their rate of error reduction. Patients subsequently showed a reduced aftereffect post-adaptation. When eye movements were examined, SCA patients showed slower and less accurate saccadic eye movements, and impairment in their ability to complete smooth pursuits. As a whole, these results did not appear to differ amongst the SCA subtypes examined. Conclusion: All SCA patients, regardless of subtype, displayed impairments in motor adaptation. With a better understanding of SCA and motor learning, we can use these patterns as a marker of disease severity and prognosis, and to assess response to treatment. Further, these results may be used to guide rehabilitation practices targeting motor coordination in SCA patients, helping them to regain motor control and thereby improving their overall quality of life. Key terms: spinocerebellar ataxia, cerebellum, motor learning, adaptation We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC).
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".