Characterization and Cognitive Rehabilitation Research in Progressive Multiple Sclerosis (MS)
Bibliographic record
Abstract
The purpose of this thesis was two-fold: Study 1 aimed to extend known brain-behaviour relationships to the progressive multiple sclerosis (MS) population, specifically lateralization and regiospecificity with regard to hippocampus-dependent memory, and Study 2 aimed to quantitatively and qualitatively evaluate the feasibility and preliminary efficacy of a novel, online allocentric spatial navigation intervention for staving off memory decline in people with progressive MS. As expected, Study 1 found a significant positive correlation between a behavioural proxy for pattern separation and CA3 (r=0.794 p=0.003) and dentate gyrus (r=0.611 p=0.030). No compelling evidence of lateralization, nor subregion specificity for pattern completion was found (all ps > .05). Study 2 showed that the spatial navigation intervention is feasible, though with limited benefits generalizable to everyday life, warranting further investigation in a larger-scale RCT. Key limitations, implications and contributions to a growing field of research on memory impairment and cognitive rehabilitation strategies for progressive MS are discussed.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".