Effects of Lewy body disease and Alzheimer disease on brain atrophy and cognitive dysfunction
Bibliographic record
Abstract
Objectives To investigate the independent and interaction effects of Alzheimer disease (AD) and Lewy body disease (LBD) on cognition and brain atrophy. Methods We consecutively recruited 38 controls and 108 patients with AD-related cognitive impairment (ADCI) and/or LBD-related cognitive impairment (LBCI) from university-based dementia and movement clinics. Diagnoses of ADCI and LBCI were supported by 18F-florbetaben PET and 18F-N-(3-fluoropropyl)-2β-carbon ethoxy-3β-(4-iodophenyl) nortropane–PET, respectively. There were 38 controls, 26 patients with pure ADCI (18 mild cognitive impairment [MCI] and 8 dementia), 28 patients with pure LBCI (13 MCI and 15 dementia), and 54 patients with mixed ADCI and LBCI (17 MCI and 37 dementia). We performed group-wise comparisons for neuropsychological z scores and regional cortical thickness. We also evaluated the effects of ADCI and LBCI using general linear models. Results Compared to the controls, patients in the pure ADCI group and pure LBCI group had focused cortical thinning in the bilateral entorhinal/right anterior temporal cortices and bilateral anteromedial temporal/basal frontal cortices, respectively, while the mixed disease group had additional cortical thinning in the widespread association cortices. The independent effects of ADCI and LBCI on regional cortical thinning overlapped in the widespread association cortices, especially at the bilateral temporoparietal junction and parietal cortices. ADCI and LBCI had independent detrimental effects on the copying item of the Rey-Osterrieth Complex Figure Test. Conclusions Concomitant ADCI and LBCI are associated with the accentuation of neurodegeneration to widespread association cortices, and both diseases contribute to visuospatial dysfunction.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".