0673 Multimodal MRI Reveals Alterations Of Sensorimotor Circuits In Restless Legs Syndrome
Bibliographic record
Abstract
Integrated information on brain microstructural integrity and iron storage and its impact on the morphometric profile is not available in restless legs syndrome (RLS). We applied multimodal MRI including diffusion tensor imaging, the transverse relaxation rate (R2*), a marker for iron storage, as well as grey and white matter volume measures to characterize RLS related MRI signal distribution patterns and to analyze their associations with clinical parameters. Eighty-seven patients with RLS (mean age 51, range 20-72, years; disease duration, mean 13 years, range 1-46 years, of those untreated n=30) and 87 healthy control subjects, individually matched for age and gender, were investigated with multimodal 3T-MRI. Volume of the white matter compartment adjacent to the post and precentral cortex and fractional anisotropy of the frontopontine tract were both significantly reduced in RLS compared to healthy controls, and these alterations were associated with disease duration (r=0.25, p=0.025 and r=0.23, p=0.037, respectively). Corresponding, grey matter volume increases of the right primary motor cortex in RLS (p<0.001), were negatively correlated with the right fractional anisotropy signal of the frontopontine tract (r= -0.22; p<0.05). Iron content evaluated with R2* was reduced in the putamen as well as in temporal and occipital compartments of the RLS cohort compared to the control group (p<0.01). Multimodal MRI identified progressing white matter decline of key somatosensory circuits that may underlie the perception of sensory leg discomfort. Increases of grey matter volume of the premotor cortex is likely to be a consequence of functional neuronal reorganization. The study was funded by a Grant from Translational Research Fund of the government of Tyrol, Austria, to Birgit Högl and in-kind resources of the Medical University of Innsbruck.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 | 0.001 |
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".