Cerebral Metabolic Changes Related to Freezing of Gait in Parkinson Disease
Bibliographic record
Abstract
Freezing of gait (FOG) in Parkinson disease (PD) often occurs during steering of gait (i.e., complex gait), which is thought to arise from executive dysfunction. Our aim was to test whether cognitive corticobasal ganglia-thalamocortical circuitry is impaired and whether alternate neural circuits are used for complex gait in PD with FOG. Methods: Eighteen individuals with idiopathic PD in the off-medication state, 9 with FOG (aged 68 ± 6 y) and 9 without FOG (aged 65 ± 5 y), were included. PET was used to measure cerebral glucose metabolism during 2 gait tasks, steering and straight walking, performed during the radiotracer uptake period. Results: During steering, there was a reduced change in cerebral glucose metabolism within the cognitive corticothalamic circuit. More specifically, those with FOG had less activation of the posterior parietal cortex, less deactivation of the dorsolateral prefrontal cortex and thalamus, and increased activation in the supplementary motor area. Interestingly, activity in the dorsolateral prefrontal cortex correlated with gait impairment (i.e., reduced stride length) in the FOG group. Conclusion: These results demonstrate decreased parietal control and an alternate control mechanism mediated by prefrontal and supplementary motor areas in PD with FOG.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".