Regional magnetization transfer ratio changes in mild cognitive impairment
Bibliographic record
Abstract
Reduction in temporal lobe volume is consistently found in dementia of Alzheimer's type (DAT). However, due to the lack of a consistent association between brain volume and cognitive decline in mild cognitive impairment (MCI), volumetric measures are not a reliable predictor for the progression of the disease. In our study, we hypothesized that changes in the magnetization transfer ratio (MTR) may reflect underlying brain pathology in the absence of quantifiable volumetric changes. Such a measure may be used as a predictor for abnormal cognitive decline in elderly subjects. The study was carried out on 15 normal elderly controls, 11 subjects with DAT, and 12 subjects with MCI. We used MTRs with magnetic resonance imaging (MRI) to detect tissue changes in the four lobes of each hemisphere, and compared that to the volumetric changes in the same regions. Our results indicate that the MTR of both temporal lobes is significantly reduced in subjects with MCI in the absence of significant volumetric changes. In comparison, DAT subjects have significantly reduced temporal lobe volumes and MTR. We conclude that changes in MTR have the potential to mark the progression of MCI to DAT, before volumetric changes are detected on conventional MRI scans.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".