White matter lesions
| Autor: | Hans J. Grabe, Mohamad Habes, Deborah Janowitz, Guray Erus, Aristeidis Sotiras, David A. Wolk, Christos Davatzikos, Wolfgang Hoffmann, Jimit Doshi, Nick Bryan, Jon B. Toledo, Susan M. Resnick, Ulf Schminke, Haochang Shou, Henry Völzke |
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| Rok vydání: | 2018 |
| Předmět: |
Male
0301 basic medicine Aging Longitudinal study Trail Making Test genetics [Leukoencephalopathies] genetics [Alzheimer Disease] diagnostic imaging [Cognition Disorders] pathology [Alzheimer Disease] pathology [Aging] 0302 clinical medicine Leukoencephalopathies Risk Factors Medicine Longitudinal Studies Young adult Cognitive decline Aged 80 and over Cerebral Cortex Genetics Age Factors Middle Aged Magnetic Resonance Imaging Study of Health in Pomerania diagnostic imaging [Leukoencephalopathies] Female Alzheimer's disease Adult behavioral disciplines and activities Article Young Adult 03 medical and health sciences Atrophy Alzheimer Disease Humans ddc:610 complications [Leukoencephalopathies] Aged epidemiology [Leukoencephalopathies] business.industry etiology [Cognition Disorders] medicine.disease Hyperintensity Cross-Sectional Studies 030104 developmental biology pathology [Cerebral Cortex] Neurology (clinical) Cognition Disorders business 030217 neurology & neurosurgery |
| Zdroj: | Neurology 91(10), e964-e975 (2018). doi:10.1212/WNL.0000000000006116 |
| ISSN: | 1526-632X 0028-3878 |
| DOI: | 10.1212/wnl.0000000000006116 |
| Popis: | ObjectivesTo investigate spatial heterogeneity of white matter lesions or hyperintensities (WMH).MethodsMRI scans of 1,836 participants (median age 52.2 ± 13.16 years) encompassing a wide age range (22–84 years) from the cross-sectional Study of Health in Pomerania (Germany) were included as discovery set identifying spatially distinct components of WMH using a structural covariance approach. Scans of 307 participants (median age 73.8 ± 10.2 years, with 747 observations) from the Baltimore Longitudinal Study of Aging (United States) were included to examine differences in longitudinal progression of these components. The associations of these components with vascular risk factors, cortical atrophy, Alzheimer disease (AD) genetics, and cognition were then investigated using linear regression.ResultsWMH were found to occur nonuniformly, with higher frequency within spatially heterogeneous patterns encoded by 4 components, which were consistent with common categorizations of deep and periventricular WMH, while further dividing the latter into posterior, frontal, and dorsal components. Temporal trends of the components differed both cross-sectionally and longitudinally. Frontal periventricular WMH were most distinctive as they appeared in the fifth decade of life, whereas the other components appeared later in life during the sixth decade. Furthermore, frontal WMH were associated with systolic blood pressure and with pronounced atrophy including AD-related regions. AD polygenic risk score was associated with the dorsal periventricular component in the elderly. Cognitive decline was associated with the dorsal component.ConclusionsThese results support the hypothesis that the appearance of WMH follows age and disease-dependent regional distribution patterns, potentially influenced by differential underlying pathophysiologic mechanisms, and possibly with a differential link to vascular and neurodegenerative changes. |
| Databáze: | OpenAIRE |
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