Lumbar Spinal Stenosis and Lower Extremity Motor Control: The Impact of Walking-Induced Strain on a Performance-Based Outcome Measure
Bibliographic record
Abstract
OBJECTIVE: The primary objective of this study was to quantify the lower extremity movements and capabilities of a population with lumbar spinal stenosis (LSS) compared with healthy age-matched controls under conditions of strain and no strain. The secondary objective was to identify challenging movement conditions for a population with LSS, on a lower limb aiming task with different levels of difficulty, compared with healthy age-matched controls under conditions of strain and no strain. METHODS: Using a nonrandomized, controlled, before-and-after design, LSS patients (n = 16) and healthy controls (n = 16) performed 2 blocks of great toe-pointing movements to a series of projected squares. Following block 1, participants completed a 12-minute progressive exercise treadmill test. Pointing movements were analyzed using 3D motion analysis. Behavioral and kinematic measures evaluated performance. RESULTS: Both groups' reaction times (RTs) lengthened as task difficulty increased. An interaction revealed that LSS patients were more adversely impacted by task difficulty, F (3,372) = 4.207; P = .006. The progressive exercise treadmill test facilitated RT for both groups, F (1,124) = 5.105; P = .026. Control participants showed less variability in time-to-peak velocity poststrain, a benefit not shared by LSS patients, t (31) = 2.149; P = .040. CONCLUSION: A lower extremity movement task captured differences under strain between healthy and LSS populations. The lower extremity Fitts' Law task accurately measured differences between healthy and LSS participants. For the subjects in this study, strain was sufficient to prevent LSS patients from demonstrating improvement in the variability of the ballistic phase of movement execution, whereas LSS patients' movement performance remained unchanged. This study also showed that regardless of strain, as task difficulty increased, LSS patients were more adversely impacted in the planning and execution of their lower limb movements than healthy control participants. The lower extremity motor control task (Fitts' task) can be used as a performance-based outcome measure to measure differences between healthy and LSS populations.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".