[P1–397]: A PROSPECTIVE OBSERVATIONAL STUDY INVESTIGATING CLINICAL RESPONSE TO CHOLINESTERASE INHIBITORS AND ASSOCIATION WITH CEREBRAL PERFUSION
Bibliographic record
Abstract
Lewy body spectrum disorders (LBD), including dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), share visual hallucinations, fluctuating cognition and parkinsonism as common features. While cholinesterase inhibitors (ChEIs) are an effective treatment for cognitive and neuropsychiatric symptoms in LBD, our understanding of the effects that these drugs have in the brain in relation to response is limited. The objective of this study is to investigate functional neuroimaging correlates of response to ChEIs in LBD. Fifty-seven participants with LBD were recruited (table 1). Standardized neuropsychiatric and neuropsychological batteries and brain perfusion SPECT scans were completed at baseline and at 24 week follow-up after initiation of standard doses of ChEIs. This study investigates longitudinal relationships between changes in battery test scores and cerebral perfusion on brain SPECT using statistical parametric mapping. Treatment of LBD with ChEIs over a 24-week period resulted in a significant increase in occipital perfusion (p=0.019, cluster level FWE-corrected) (figure 1) (table 2). Significant improvements in working memory, visuospatial ability, and executive function following ChEI treatment were observed (P<0.05). Severity and frequency of visual hallucinations as measured by the Neuropsychiatric Inventory were also significantly decreased after treatment (p<0.05) and this correlated with increased occipital perfusion (p<0.001, uncorrected) (figure 2). As already known, ChEIs were effective at reducing visual hallucinations and improving cognitive function in LBD. Our results suggest that increased occipital perfusion could be used as a surrogate biomarker to assess effectiveness of ChEIs at treating these clinical features of LBD. Thresholded Statistical Parametric Maps for increased perfusion on brain SPECT following Cholinesterase Inhibitor therapy. SPECT, single-photon emission computed tomography. Thresholded Statistical Parametric Maps for significant correlation between decreased hallucinations and increased perfusion on brain SPECT. SPECT, single-photon emission computed tomography.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".