Academic Journal
Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer’s disease pathology in the population?
العنوان: | Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer’s disease pathology in the population? |
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المؤلفون: | Aishwarya Pradeep, Sheelakumari Raghavan, Scott A. Przybelski, Gregory M. Preboske, Christopher G. Schwarz, Val J. Lowe, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jonathan Graff-Radford, Petrice M. Cogswell, Prashanthi Vemuri |
المصدر: | Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-13 (2024) |
بيانات النشر: | BMC, 2024. |
سنة النشر: | 2024 |
المجموعة: | LCC:Neurosciences. Biological psychiatry. Neuropsychiatry LCC:Neurology. Diseases of the nervous system |
مصطلحات موضوعية: | White matter hyperintensities, Alzheimer’s disease, Fazekas score, Periventricular white matter hyperintensity, Deep white matter hyperintensity, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571, Neurology. Diseases of the nervous system, RC346-429 |
الوصف: | Abstract Background White matter hyperintensities (WMH) are considered hallmark features of cerebral small vessel disease and have recently been linked to Alzheimer’s disease (AD) pathology. Their distinct spatial distributions, namely periventricular versus deep WMH, may differ by underlying age-related and pathobiological processes contributing to cognitive decline. We aimed to identify the spatial patterns of WMH using the 4-scale Fazekas visual assessment and explore their differential association with age, vascular health, AD imaging markers, namely amyloid and tau burden, and cognition. Because our study consisted of scans from GE and Siemens scanners with different resolutions, we also investigated inter-scanner reproducibility and combinability of WMH measurements on imaging. Methods We identified 1144 participants from the Mayo Clinic Study of Aging consisting of a population-based sample from Olmsted County, Minnesota with available structural magnetic resonance imaging (MRI), amyloid, and tau positron emission tomography (PET). WMH distribution patterns were assessed on FLAIR-MRI, both 2D axial and 3D, using Fazekas ratings of periventricular and deep WMH severity. We compared the association of periventricular and deep WMH scales with vascular risk factors, amyloid-PET, and tau-PET standardized uptake value ratio, automated WMH volume, and cognition using Pearson partial correlation after adjusting for age. We also evaluated vendor compatibility and reproducibility of the Fazekas scales using intraclass correlations (ICC). Results Periventricular and deep WMH measurements showed similar correlations with age, cardiometabolic conditions score (vascular risk), and cognition, (p |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 1758-9193 |
Relation: | https://doaj.org/toc/1758-9193 |
DOI: | 10.1186/s13195-024-01525-5 |
URL الوصول: | https://doaj.org/article/e98a5ea8c19f4da7a4b877bae77a1e08 |
رقم الانضمام: | edsdoj.98a5ea8c19f4da7a4b877bae77a1e08 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 17589193 |
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DOI: | 10.1186/s13195-024-01525-5 |