White matter hyperintensity tissue property spatial variations as a function of cognitive status in Parkinson’s disease
Bibliographic record
Abstract
• Patients with Parkinson's disease (PD) and cognitive impairment demonstrated a significantly greater burden of white matter hyperintensities (WMH), with the highest burden observed in those with PD dementia. Moreover, total WMH volume showed a significant negative correlation with cognitive scores. • Quantitative MRI (qMRI) measures of tissue properties, including water content, T1, and T2*, were significantly elevated in WMH lesions compared to normal-appearing white matter (NAWM). Additionally, qMRI effectively captured the heterogeneity of tissue properties within WMH. • Water content, T1, and T2* exhibited a gradient of decreasing intensity from the ventricles toward the periphery, as demonstrated by tissue property heatmaps and lesion-ventricle distance profiles. • Voxel-wise analysis revealed a significant negative correlation between the qMRI tissue properties of periventricular WMH and MoCA scores. The pathological relationship between white matter hyperintensities (WMH) and cognitive impairment in Parkinson's disease (PD) remains unclear due to their variable locations, heterogeneity, and limited assessment of underlying tissue properties. This study integrates T2-FLAIR and quantitative MRI (qMRI) to investigate burden, spatial distribution, and extent of tissue alterations in WMH, aiming to elucidate their role in cognitive decline among PD patients. A total of 122 age- and sex-matched PD patients and 65 healthy controls (HC) were recruited, with PD patients grouped by Montreal Cognitive Assessment (MoCA) score including normal, mild cognitive impairment (MCI) or PD with dementia (PDD). WMH burden was compared across groups and cognitive status. Water content, T1, and T2* measures were derived from qMRI data and tissue property heatmaps and periventricular distance profiles were constructed for all groups to visualize location-dependent tissue alterations of WMH relative to the lateral ventricles. In addition, voxel-wise analysis was performed to examine the correlation between WMH lesion tissue properties and MoCA scores. WMH volume was significantly higher in PDD compared to other groups ( p < 0.05) and negatively correlated with MoCA scores ( r = −0.352, p < 0.001). WMH appeared predominantly around the lateral ventricles, with anterior horn involvement common to all groups and posterior horn involvement specific to PDD. qMRI measures were significantly elevated in WMH compared to normal appearing white matter (NAWM) ( p < 0.001), with heatmaps showing a negative gradient of tissue property changes from the lateral ventricles to the NAWM. Voxel-wise analysis revealed a significant negative correlation between the qMRI tissue properties of periventricular WMH and MoCA scores, with the strongest association observed in the periventricular WM situated just beyond the boundary of the lateral ventricles. Over and above volume differences, the spatial distribution and tissue property variations of WMH were closely linked to cognitive impairment in PD patients, with distinct patterns across different cognitive stages.
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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 | 0.001 |
| 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 | 0.000 |
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".