P3‐199: The relationships between memory impairment and dense beta‐amyloid deposition reflected by BF227 retention
Bibliographic record
Abstract
The deposition of beta-amyloidin the brain can be detected by the amyloid imaging using PET. Aβ is assumed to play a causal role in the pathology of AD even at earliest stage. So, noninvasive detection of Aβ is potentially useful for early diagnosis of AD. But Aβ deposition may occur in non-demented cognitively intact individuals and not necessarily converts dementia. The relationship with memory impairment and Aβ burden reflected by [11 C]BF-227 retention is unclear. [11 C]BF-227 is a tracer which demonstrates significant retention in sites with a preference for the deposition of dense amyloid plaques. We studied the relationship with dense Aβ depositon and memory function of mild cognitive impairment (MCI)/AD patients. We studied 24 subjects, including 16 subjects with MCI and AD, all of them went to Tohoku University Hospital regularly. Participant mean age was 74.9 ± 6.3[62 ～ 85] years; 58.3 percent were female. They underwent PET studies using [11 C]BF-227.Dynamic PET images were obtained for 60 min after administration of [11 C]BF-227.The ratio of regional to cerebellar standardized uptake value (SUVR) were calculated as the index of [11 C]BF-227 retention. And they also underwent some neuropsychological test including Wechsler Memory Scale-Revised Japanese edition. AD patients and MCI subjects showed neocortical retention of [11 C]BF-227. MCI subjects showed variation in the amount of [11 C]BF-227 retention, especially in the frontal cortex. Neocortical retention of [11 C]BF-227 is significantly associated with the index scores including auditory immediate memory, immediate visual memory, general memory, delayed memory. In addition, the retention of [11 C]BF-227 in the frontal cortex is associated with the index scores including auditory immediate memory, immediate visual memory. These findings suggest that amyloid deposition measured by [11 C]BF-227 PET is closely associated with the memory function in clinical practice.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".