Neuromuscular Activation Differences During Gait in Patients With Ehlers‐Danlos Syndrome and Healthy Adults
Bibliographic record
Abstract
OBJECTIVE: Ehlers-Danlos syndrome (EDS) is a group of genetic disorders affecting connective tissue. Symptoms include joint and ligament laxity. The objectives of this study were to compare muscle activation, joint angles, and spatiotemporal parameters during gait, and to compare isometric strength between participants with EDS (hypermobility and classical subtypes) and healthy adults. METHODS: Participants with EDS (n = 14) and healthy adults (n = 14) were recruited for this cross-sectional study. Lower extremity muscle activation, sagittal joint angles, and spatiotemporal parameters during gait were measured using surface electromyography (EMG), motion capture, and force plates. Isometric strength of the lower extremity joints was measured with an isokinetic dynamometer. Important characteristics (principal components [PCs]) were determined from EMG and angle waveforms using PC analysis; relationships between PC scores and groups were examined using multilevel linear models after accounting for gait speed. Spatiotemporal parameters and strength were compared using independent t-tests and effect sizes (Cohen's d coefficient). RESULTS: The EDS group was associated with delayed vastus lateralis (b = 16.69) and medialis activation (b = 11.33), higher rectus femoris (b = 28.34) and tensor fascia latae activation (b = -11.06), prolonged gluteus medius activation (b = -32.78), and lower medial gastrocnemius activation (b = -27.18). Joint angles were similar between the EDS and healthy groups. The EDS group had slower gait speeds, shorter stride lengths, and a greater percentage of time in stance (d = -1.05 to 0.96). The EDS group had weaker hip and ankle muscles (d = -0.83 to -0.97). CONCLUSION: Alterations in muscle activation and spatiotemporal parameters during gait in patients with EDS may be a result of impaired proprioception and balance and muscle weakness. Interventions should target these deficits.
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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) | 0.000 | 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".