Effects of a 24-week yoga intervention on choriocapillaris density in Parkinson’s disease
Bibliographic record
Abstract
Introduction: Parkinson's disease (PD) involves systemic microvascular dysfunction, with choriocapillaris density (CCD) potentially reflecting it. This study examined whether a 24-week yoga intervention alters CCD in PD and whether responses differ by disease duration, severity, or intervention style. Methods: Fifteen PD patients completed a supervised 24-week yoga program involving two Hatha-based styles. CCD was measured using 3 × 3 mm macular optical coherence tomography angiography (OCTA) centered on 2.5-mm foveal region. Clinical assessments included disease duration, Hoehn and Yahr (H&Y) stage, and Montreal Cognitive Assessment (MoCA), conducted at baseline and after intervention. Correlation, stratified, and subgroup analyses were performed. Results: No significant change in CCD was observed at the group level (62.9 % ± 3.9 % vs. 62.9 % ± 3.2 %; P > 0.05). Baseline CCD was inversely correlated with disease duration and H&Y stage (ρ = -0.71, P = 0.003). Patients with shorter disease duration (<5 years) or early-stage PD (H&Y stage 1) showed significant CCD reductions (ΔCCD = -4.7 %, P = 0.003; ΔCCD = -4.3 %, P = 0.002), whereas those with longer duration or advanced stage (H&Y 2-3) exhibited mild increases (ΔCCD = +2.3 %, ΔCCD = +2.8 %). Baseline CCD was inversely correlated with ΔCCD (ρ = -0.77, P < 0.001). CCD did not differ between the YogaCue and Hatha Yoga groups at baseline, follow-up, or in ΔCCD (P > 0.05). Conclusions: These findings provide preliminary evidence that CCD responses to yoga vary with disease stage but not intervention style, suggesting a potential role for CCD as a vascular marker to inform individualized rehabilitation in PD.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".