دورية أكاديمية
Association of Data-Driven White Matter Hyperintensity Spatial Signatures With Distinct Cerebral Small Vessel Disease Etiologies
| العنوان: | Association of Data-Driven White Matter Hyperintensity Spatial Signatures With Distinct Cerebral Small Vessel Disease Etiologies |
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| المؤلفون: | Phuah, Chia-Ling, Chen, Yasheng, Strain, Jeremy F, Yechoor, Nirupama, Laurido-Soto, Osvaldo J, Ances, Beau M, Lee, Jin-Moo |
| المصدر: | Neurology |
| بيانات النشر: | Barrow - St. Joseph's Scholarly Commons |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Humans, Female, Male, Alzheimer Disease (pathology), White Matter (pathology), Cross-Sectional Studies, Arteriolosclerosis (complications), Cerebral Amyloid Angiopathy (complications, diagnostic imaging, pathology), Magnetic Resonance Imaging, Cognitive Dysfunction (pathology), Cerebral Small Vessel Diseases (complications |
| الوصف: | BACKGROUND AND OBJECTIVES: Topographical distribution of white matter hyperintensities (WMH) are hypothesized to vary by cerebrovascular risk factors. We used an unbiased pattern discovery approach to identify distinct WMH spatial patterns and investigate their association with different WMH etiologies. METHODS: We performed a cross-sectional study on participants of the Alzheimer's Disease Neuroimaging Initiative (ADNI) to identify spatially distinct WMH distribution patterns using voxel-based spectral clustering analysis of aligned WMH probability maps. We included all participants from the ADNI Grand Opportunity/ADNI 2 study with available baseline 2D-FLAIR MRI scans, without history of stroke or presence of infarction on imaging. We evaluated the associations of these WMH spatial patterns with vascular risk factors, amyloid-β PET, and imaging biomarkers of cerebral amyloid angiopathy (CAA), characterizing different forms of cerebral small vessel disease (CSVD) using multivariable regression. We also used linear regression models to investigate whether WMH spatial distribution influenced cognitive impairment. RESULTS: We analyzed MRI scans of 1,046 ADNI participants with mixed vascular and amyloid-related risk factors (mean age 72.9, 47.7% female, 31.4% hypertensive, 48.3% with abnormal amyloid PET). We observed unbiased partitioning of WMH into 5 unique spatial patterns: deep frontal, periventricular, juxtacortical, parietal, and posterior. Juxtacortical WMH were independently associated with probable CAA, deep frontal WMH were associated with risk factors for arteriolosclerosis (hypertension and diabetes), and parietal WMH were associated with brain amyloid accumulation, consistent with an Alzheimer disease (AD) phenotype. Juxtacortical, deep frontal, and parietal WMH spatial patterns were associated with cognitive impairment. Periventricular and posterior WMH spatial patterns were unrelated to any disease phenotype or cognitive decline. DISCUSSION: Data-driven WMH spatial patterns reflect discrete ... |
| نوع الوثيقة: | text |
| اللغة: | unknown |
| العلاقة: | https://scholar.barrowneuro.org/neurology/1713Test; https://doi.org/10.1212/WNL.0000000000201186Test |
| DOI: | 10.1212/WNL.0000000000201186 |
| الإتاحة: | https://doi.org/10.1212/WNL.0000000000201186Test https://scholar.barrowneuro.org/neurology/1713Test |
| رقم الانضمام: | edsbas.C7C2F130 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1212/WNL.0000000000201186 |
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