Different cardiovascular risk factors are related to distinct white matter hyperintensity MRI phenotypes in older adults
Cognitive Neuroscience
Computer applications to medicine. Medical informatics
Clinical Neurology
R858-859.7
Cerebral small vessel disease
Cognitive decline
03 medical and health sciences
Magnetic resonance imaging
0302 clinical medicine
Risk Factors
Journal Article
White matter hyperintensities
magnetic resonance imaging
risk factors
Humans
RC346-429
Cardiovascular risk factors
White Matter/diagnostic imaging
leukoaraiosis
Leukoaraiosis
Regular Article
Cardiovascular Diseases/diagnostic imaging
Magnetic Resonance Imaging
White Matter
3. Good health
Phenotype
Neurology
Radiology Nuclear Medicine and imaging
Cardiovascular Diseases
Heart Disease Risk Factors
Neurology. Diseases of the nervous system
DOI:
10.1016/j.nicl.2022.103131
Publication Date:
2022-07-30T07:29:39Z
AUTHORS (8)
ABSTRACT
The underlying mechanisms of the association between cardiovascular risk factors and a higher white matter hyperintensity (WMH) burden are unknown. We investigated the association between cardiovascular risk factors and advanced WMH markers in 155 non-demented older adults (mean age: 71 ± 5 years). The association between cardiovascular risk factors and quantitative MRI-based WMH shape and volume markers were examined using linear regression analysis. Presence of hypertension was associated with a more irregular shape of periventricular/confluent WMH (convexity (B (95 % CI)): -0.12 (-0.22--0.03); concavity index: 0.06 (0.02-0.11)), but not with total WMH volume (0.22 (-0.15-0.59)). Presence of diabetes was associated with deep WMH volume (0.89 (0.15-1.63)). Body mass index or hyperlipidemia showed no association with WMH markers. In conclusion, different cardiovascular risk factors seem to be related to a distinct pattern of WMH shape markers in non-demented older adults. These findings may suggest that different underlying cardiovascular pathological mechanisms lead to different WMH MRI phenotypes, which may be valuable for early detection of individuals at risk for stroke and dementia.
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CITATIONS (15)
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