A focus on the normal-appearing white and gray matter within the multiple sclerosis brain: a link to smoldering progression
Bibliographic record
Abstract
Multiple sclerosis is a chronic neuro-inflammatory and neurodegenerative disease, traditionally characterized by the presence of focal demyelinating lesions in the CNS. However, accumulating evidence suggests that multiple sclerosis pathophysiology extends beyond such classical lesions, affecting also 'normal' appearing tissue in both white and gray matter, referred to as 'normal-appearing white matter' and 'normal-appearing gray matter', respectively. Here, we provide a comprehensive overview of the widespread biochemical, cellular, and microstructural alterations occurring in these 'normal-appearing' CNS regions. Additionally, we discuss the evidence derived from human post-mortem studies that support that normal-appearing white and gray matter could be the drivers of smoldering-associated pathological worsening once repair mechanisms are exhausted. Comprehensive understanding of multiple sclerosis pathology beyond classical lesions not only provides a more complete picture of disease progression, but also provides further insights into potential novel therapeutic avenues in order to slow or halt disability accumulation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".