P1‐318: NEUROPATHOLOGIC HETEROGENEITY IN ALZHEIMER'S DISEASE NEUROIMAGING INITIATIVE (ADNI) SUBJECTS
Bibliographic record
Abstract
The goals of the Alzheimer's Disease Neuroimaging Initiative (ADNI) Neuropathology Core (NPC) are to facilitate autopsy consent, brain collection, and perform standardized neuropathologic assessments of all ADNI participants who come to autopsy at the 58 ADNI sites in the USA and Canada. Building on the expertise and resources of the existing Knight Alzheimer's Disease Research Center (K-ADRC) at Washington University School of Medicine, St. Louis, Missouri, a Neuropathology Core (NPC) to serve ADNI was established. The NPC provides training materials and protocols to assist clinicians at ADNI sites in obtaining voluntary consent for brain autopsies. Secondly, the NPC maintains a central laboratory to provide uniform neuropathologic assessments defined by the National Alzheimer Coordinating Center (NACC). Thirdly, the ADNI-NPC maintains a brain bank of ADNI-derived brain tissue to promote biomarker and multi-disciplinary clinico-pathologic studies. Since the implementation of the Alzheimer's Disease Neuroimaging Initiative Neuropathology Core (ADNI-NPC), there have been 53 deaths of ADNI participants, 30 of whom have come to autopsy. The autopsy rate of ADNI participants since the implementation of the ADNI-NPC is 63.8%. In the autopsies of ADNI participants to date, 10/23 (44.5%) have both AD and another common neurodegenerative disease, Lewy body disease. Other pathologies include: argyrophilic grain disease, TDP-43 proteinopathy, hippocampal sclerosis, and infarcts. These data demonstrate that the Neuropathology Core has established the administrative organization to harvest brains from ADNI participants who come to autopsy at theparticipating sites in North America. The Neuropathology Core has: (1) implemented a protocol to solicit permission for brain autopsy in ADNI participants who die at all 58 sites; (2) established procedures to send brain tissue to the Neuropathology Core for a standardized and uniform neuropathologic assessment; and (3) determined the presence of co-existent pathologies with AD in the autopsied cases. The presence of combined pathologies may alter the variance in imaging and biomarker data and pathological-imaging-biomarker studies will be a focus of future studies undertaken by the ADNI-NPC [1]. Reference Toledo JB, Cairns NJ, et al., and ADNI. Clinical and multimodal biomarker correlates of ADNI neuropathological findings. Acta Neuropathol. Commun. 2013; 1: 65.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".