Cerebral glucose metabolism and cognitive impairment in tremor-dominant and akinetic-rigid subtypes of Parkinson’s disease
Bibliographic record
Abstract
Parkinson’s disease (PD) is a disease characterized by marked phenotypic heterogeneity. The akinetic-rigid (AR) and tremor-dominant (TD) types of PD differ not only in motor manifestations, but also in the severity of non-motor symptoms, including cognitive impairment (CI). It is the PD heterogeneity study that can achieve the task of creating a modern personalized therapy for this disease. Objective : to study the characteristics of cerebral glucose metabolism in CI in patients with AR and TD PD. Patients and methods . Examinations were made in 69 patients with PD (the TD and AR subtypes were in 23 and 46 patients, respectively). Their cognitive status was assessed using the Mini-mental State Examination, the Montreal Cognitive Assessment, the Frontal Assessment Battery, and the Clock Drawing Test. 18 F-fluorodeoxyglucose positron emission tomography was performed according to the standard procedure; glucose metabolism rate (GMR) was determined in different Brodmann areas (BA). Results and discussion . GMR in the frontal areas (right BA 6, 8, 9, 46 and left BA 46) was lower in the AR group that in the TD one (p< 0.05). The severity of CI in the AR group correlated with GMR in the parietal and posterior cingulate cortex (BA 7, 23, 26, 29, 30, and 31). The TD group showed correlations of the values of cognitive tests mainly with GMR in the frontal and anterior cingulate cortex (BA 6, 8–11, 24), and in the parietal (BA 7) and temporal cortices (BA 22). The only area, in which GMR correlated with cognitive performance in both groups, was BA 7. Conclusion . Two distinct patterns of GMR were identified in AR and TD within the general pattern of decreased cerebral glucose metabolism, which was specific for CI in PD. The findings may suggest that there are two different CI pathogenetic mechanisms associated with the clinical subtypes of PD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".