Effects of freezing of gait on vertical ground reaction force in Parkinson's disease
Bibliographic record
Abstract
Vertical ground reaction force (vGRF) is a main kinetic gait analysis explaining body weight loading patterns. The study primarily aimed to understand effects of Freezing of gait (FoG) on vGRF in Parkinson's disease (PD). A secondary analysis for a walking dataset including biomechanical analyses for 26 PD participants (13 with FoG) was performed. Considering the normal pattern of vGRF curve, peaks during early stance (F1) and late stance (F3), and slope in- during mid-stance (F2) were used to represent the change in kinetic forces. vGRF parameters were compared between FoG and non-FoG participants, and at off- and on-medication. FoG participants showed higher vGRFs during mid-stance F2 magnitude (p = 0.003), and weaker vertical propulsion; F3 magnitude (p < 0.001). This coincided with delayed weight acceptance; F1 timing (p = 0.019), and midstance peaks; F2 timing (p = 0.004). At off-medications, the F2 magnitude was significantly higher (p = 0.006), F3 magnitude lower (p = 0.001), and F1 time slower (p = 0.034) in FoG. At on-medication, F3 magnitude was still significantly lower (p = 0.017), and F2 time was slower (p = 0.037) in FoG. This study reveals that FoG significantly affects vGRF, particularly F3 magnitude during the push-off phase. Analyzing vGRF is crucial for understanding and managing FoG, allowing for more targeted interventions to improve FoG outcomes.
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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 | 0.001 | 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) | 0.000 | 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".