P.087 The influence of disease lateralization in Parkinson’s Disease on tractography in DBS patients
Bibliographic record
Abstract
Background: Asymmetric motor symptoms are typical in Parkinson’s disease (PD), with potential implications on disease course. Imaging modalities have demonstrated asymmetry, including thinning of motor-related cortex in the contralateral hemisphere of symptomatic side. The objective is to assess correlation between lateralized symptoms and Diffusion Tensor Imaging (DTI) characteristics of pyramidal tract. Methods: 34 PD patients and 30 controls were evaluated. Disease dominance was assessed using UDPRS III. DTI was performed with 60-directional 3Tesla MRI protocol. A 1cm3 subcortical region of interest was positioned underneath motor cortex. Primary outcome was the difference in fibers between disease-dominant and non disease-dominant cortex. Results: There was a significantly higher number of fibers in the hemisphere corresponding to disease dominance (p=0.0031). The same was true for seed number (p=0.0032) and fractional anisotropy (p=0.0427). Based on 23 patients operated on, the threshold for stimulation-induced side effects on the left side was inversely correlated with number of fibers in left ROI (Spearman -0.497, p=0.0158). Conclusions: Based on current literature we expected a reduction of fibers in the contralateral hemisphere to symptom dominant side. Surprisingly, DTI analysis showed an inverse correlation. The underlying pathophysiology remains unclear with the possibility of a compensatory mechanism or compacting of fibers underneath a shrinking motor cortex.
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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 | 0.002 |
| 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) | 0.006 | 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".