White matter hyperintensity tissue property spatial variations as a function of cognitive status in Parkinson’s disease
Notice bibliographique
Résumé
• 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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».