MRI-derived atrophy in multiple system atrophy aligns with mitochondrial and glial gene expression patterns
Bibliographic record
Abstract
Oligodendroglial pathology is a hallmark of multiple system atrophy (MSA), yet it remains unclear whether MRI-detected atrophy reflects underlying biological mechanisms. This study investigated whether regional atrophy aligns with gene expression and neurotransmitter systems. We recruited 65 MSA patients and derived brain atrophy measures from T1-weighted MRIs. Using postmortem data from the Allen Human Brain Atlas, partial least squares (PLS) regression identified gene expression components associated with brain atrophy. Gene enrichment analyses explored biological processes, and annotation mapping identified neurotransmitter systems matching atrophy patterns. Specificity was tested against 57 patients with Parkinson's disease. Atrophy primarily affected the cerebellar white matter, pons, putamen, olive, and substantia nigra. PLS revealed two latent variables explaining 27.5% of the covariance. Atrophic regions overexpressed genes linked to mitochondrial function and oligodendrocytes, showing patterns distinct from Parkinson's disease. These regions also exhibited lower serotonin and GABA levels, and higher acetylcholine and noradrenaline receptor densities. MRI-derived atrophy in MSA is biologically grounded and may inform future therapeutic studies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".