Nucleus basalis of Meynert degeneration signals earliest stage of Alzheimer’s disease progression
Bibliographic record
Abstract
Abstract The Nucleus Basalis of Meynert (NbM) is the main source of cholinergic projection to the entorhinal cortex (EC) and hippocampus (HC), where acetylcholine plays a key role in their function. Both cholinergic cells of NbM and their receptive targets in the EC and HC show sensitivity to neurofibrillary degeneration during the early stages of Alzheimer’s disease. Precise delineation of the NbM region on T1w scans is challenging due to limited spatial resolution and contrast. Using deformation-based morphometry (DBM), we sought to quantify NbM degeneration along the Alzheimer’s disease trajectory and confirm recent studies suggesting that NbM degeneration happens before degeneration in the EC or HC. MRI scans of 1447 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI1, 2 and GO) were up-sampled to 0.5 mm voxel-size in each direction (0.125 mm 3 ) before non-linear registration to an ADNI-based unbiased symmetric average MRI template. A subgroup of 677 amyloid-positive participants were chosen for volume time course analysis where the resulting deformation fields were used to compute a high-resolution Jacobian determinant map for each participant as a proxy for local volume change within NbM, EC, and HC masks. Scores of volume change were corrected for age and sex and z-scored using normative data from cognitively healthy amyloid-negative (CN-) participants (n = 219). Two-sample t-tests were then used to compare the baseline differences between NbM, EC, and HC for amyloid-positive cognitively normal controls (CN+), amyloid-positive early mild cognitive impairment (eMCI), and amyloid-positive late mild cognitive impairment (lMCI). Longitudinal linear mixed-effect models were used to compare trajectories of volume change after realigning all participants into a common timeline based on their cognitive decline. Results showed a significant cross-sectional difference at baseline between CN+ and eMCI, and eMCI and lMCI for both left and right Z-scored NbM volumes. There was no difference in z-scored EC and HC volumes between CN+ and eMCI groups but results from eMCI and lMCI differed significantly in these regions. Longitudinal analysis, with a focus on the early disease stages showed the earliest deviation from the CN- trajectory in the NbM and HC in the subject-specific time realigned data. Contrary to the notion that Alzheimer’s disease originates in EC, we found that NbM volume changes earlier in the disease trajectory than EC or HC. Converging evidence from cross-sectional and longitudinal models suggest that the NbM may be a focal target of early AD progression, which is often obscured by normal age-related decline.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 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".