A sagittal gradient of pathological and compensatory effects of neurophysiological slowing in Parkinson’s disease
Bibliographic record
Abstract
Abstract Using magnetoencephalographic imaging and extensive clinical and neuropsychological assessments, we show that patients with Parkinson’s disease (PD; N = 79) exhibit a slowing of neurophysiological activity relative to healthy adults (N = 65), which relates to motor and cognitive abilities. Importantly, the association between neurophysiological slowing and PD clinical features varies systematically across the cortex along a sagittal gradient: cortical slowing is associated with worse impairment in dorsal-posterior cortices, and this association is reversed in ventral-anterior cortical regions. This pathological-to- compensatory anatomical gradient is sensitive to differences in patients’ individual clinical profiles, and co- localizes with normative atlases of neurotransmitter receptor/transporter density. Long-range functional connectivity between posterior regions and parietal and frontal cortices is also significantly shifted towards lower frequencies in PD, demonstrating a novel network-level slowing effect. Taken together, these findings demonstrate the multifaceted nature of neurophysiological slowing in patients with PD, with anatomically-dependent clinical relevance to motor and cognitive symptoms.
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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) | 0.000 | 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) | 0.002 | 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".