Examination of central gait control mechanisms in Parkinson's disease using movement‐related potentials
Bibliographic record
Abstract
Gait disorders are common in people with Parkinson's disease. The pathophysiology of these disorders is not fully understood. Movement-related potentials reflect supplementary motor area activity associated with the preparation and execution of voluntary movement. Our aim was to investigate movement-related potentials associated with gait disturbances in patients with Parkinson's disease, as reflected by gait hypokinesia and initiation difficulties, in order to better understand the role of the basal ganglia in the pathogenesis of these conditions. Movement-related potentials were back-averaged from electroencephalography recordings performed on 11 participants with Parkinson's disease with no gait initiation difficulties, 9 participants with Parkinson's disease who suffered from gait initiation difficulties, 12 young healthy adults, and 8 healthy older adults. Participants took 3 steps forward, stepping off a force plate. Trigger signals from the force plate and electromyographic activity of the tibialis anterior muscle were used to identify gait initiation time. Participants' stride length was also measured using a 3-dimensional motion analysis system. Movement-related potentials showed significant group differences between the healthy young adults and the 2 Parkinson's disease groups as well as the Parkinson's disease group as a whole. No significant difference was found between the participants with Parkinson's disease and age-matched controls. A significant inverse relationship between movement-related potentials and stride length was found in patients with Parkinson's disease who did not experience gait initiation difficulties but not in those who did have this symptom. Gait-generated movement-related potentials appear to show electrical evidence of cortical disturbances correlated with stride length reduction in patients with Parkinson's disease without gait initiation difficulties.
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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) | 0.000 | 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 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".