Dopaminergic and Cholinergic Brain Activity and Performance on MMSE and MoCA in Parkinson's Disease (P03.127)
Bibliographic record
Abstract
Objective: To investigate the relationship between performance on the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Exam (MMSE) and PET measures (dopaminergic/cholinergic) of brain activity. Background Executive dysfunction seen in early Parkinson9s disease (PD) is believed to result from striatal dopaminergic denervation, while the degree of cognitive impairment in PD dementia is thought to correlate with cortical cholinergic activity. Because it contains tasks that evaluate executive function, performance on the MoCA may correlate more strongly with striatal dopaminergic activity, while performance on the MMSE may better correlate with cortical cholinergic activity. Design/Methods: 19 non-demented men with PD (mean age 66.4 ± 7.5; mean disease duration 5.7 ± 3.5 years) underwent (+)-[ 11 C] dihydrotetrabenazine (DTBZ) vesicular monoamine transporter 2 and [ 11 C]methyl-4-piperidinyl propionate (PMP) acetylcholinesterase (AChE) PET imaging as well as the Unified PD Rating Scale (UPDRS), MoCA and MMSE. Results: Stepwise regression analysis was performed, with MoCA or MMSE as the dependent variable and the PET measures (cortical PMP, basal ganglia, putamen and caudate DTBZ) as regressors. Results for the MOCA show that cortical PMP was the only variable that met entry criteria in the model (F=6.12, P=0.024). The DTBZ measures did not meet entry criteria. Similar results were seen for the MMSE, with the cortical PMP variable as the only significant variable in the model (F=5.76, P=0.028). Conclusions: Both MoCA and MMSE performance were associated with cortical AChE activity in PD patients. Surprisingly, we did not find a significant relationship between the MoCA and striatal dopaminergic denervation, but we may not have had the power to detect such a relationship. Nevertheless, these findings suggest that both the MoCA and the MMSE may be reliable measures of the cognitive decline attributable to cortical cholinergic denervation seen in early PD. Supported by: NIH P01 NS15655, NIH R01 NS070856 (PI), and a grant from the Department of Veterans Affairs. Disclosure: Dr. Lenhart has nothing to disclose. Dr. Bohnen has nothing to disclose. Dr. Koeppe has nothing to disclose. Dr. Chou has received personal compensation for activities with Medtronic, Inc. and Merz Pharma.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| 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".