P4‐003: Neuropathologic assessment of ADNI participants: The essential role of the neuropathology core
Bibliographic record
Abstract
Our objectives are to facilitate autopsy consent, brain collection, and perform standardized neuropathologic assessments of all Alzheimer's Disease Neuroimaging Initiative (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 (ADRC) at Washington University School of Medicine, St. Louis, MO, a Neuropathology Core (NPC) to serve ADNI was established. The ADNI-NPC coordinator provides training materials and protocols to assist clinicians at ADNI sites in obtaining voluntary consent for brain autopsy in ADNI participants. Secondly, the ADNI-NPC maintains a central laboratory to provide uniform neuropathologic assessments using the operational criteria for the classification of AD and other pathologies defined by the National Alzheimer Coordinating Center (NACC). Thirdly, the ADNI-NPC maintains a state-of-the-art brain bank of ADNI-derived brain tissue to promote biomarker and multi-disciplinary clinicopathological studies. During the initial year of funding of the ADNI-NPC, there was an improvement in the autopsy rate from 0 to 40%. In the most recent year of funding (September 1, 2010 to February1, 2011), the autopsy rate was 2/2 (100%). The overall autopsy rate is 12/23 (52.2%). Although the overall numbers to date are small, these data demonstrate that the Neuropathology Core has established the administrative organization with the participating sites to harvest brains from ADNI participants who come to autopsy. The Neuropathology Core has: (1) implemented a protocol to solicit permission or brain autopsy in ADNl participants at all 58 sites who die and (2) established procedures to send appropriate brain tissue from the decedents to the Neuropathology Core for a standardized, uniform, and state-of-the-art neuropathologic assessment. The benefit to ADNI of the implementation ofthe NPC is very clear. Prior to the establishment ofthe NPC in September 2007, there were 6 deaths but no autopsies in ADNI participants. Subsequent to the establishment ofthe Core there have been 23 deaths of ADNI participants and 12 autopsies. Hence, the autopsy rate has gone from 0% to 52.2%. The third major accomplishment is the detection ofco-existent pathologies, most frequently synucleinopathy, with AD in the cases. It is possible that these co-morbidities may contribute to any variance in ADNI data. Cairns NI, Taylor-Reinwald L, Morris Ie; Alzheimer's Disease Neuroimaging Initiative. Autopsy consent;brain collection, and standardized neuropathologic assessment of ADN1 participants: the essential role ofthe neuropathology core. Azheimers Dement. 2010;6:274-9.
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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 | 0.037 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.027 |
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".