TY - JOUR
T1 - Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities
AU - Shen, Xinpeng
AU - Raghavan, Sheelakumari
AU - Przybelski, Scott A.
AU - Lesnick, Timothy G.
AU - Ma, Sisi
AU - Reid, Robert I.
AU - Graff-Radford, Jonathan
AU - Mielke, Michelle M.
AU - Knopman, David S.
AU - Petersen, Ronald C.
AU - Jack, Clifford R.
AU - Simon, György J.
AU - Vemuri, Prashanthi
N1 - Funding Information:
This work was supported by NIH grants R01 NS097495 (PI: Vemuri), U01 AG06786 (PI: Petersen/Mielke/Jack), R01 AG56366 (PI: Vemuri), P50 AG16574 (PI: Petersen), R37 AG11378 (PI: Jack), R01 AG41851 (PIs: Jack and Knopman); the Gerald and Henrietta Rauenhorst Foundation grant, Alzheimer’s Drug Discovery Foundation (ADDF), the Alexander Family Alzheimer’s Disease Research Professorship of the Mayo Foundation, Liston Award, Elsie and Marvin Dekelboum Family Foundation, Schuler Foundation, Opus building NIH grant C06 RR018898, and was made possible by Rochester Epidemiology Project (R01 AG34676).
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/1
Y1 - 2022/1
N2 - Our goal was to understand the complex relationship between age, sex, midlife risk factors, and early white matter changes measured by diffusion tensor imaging (DTI) and their role in the evolution of longitudinal white matter hyperintensities (WMH). We identified 1564 participants (1396 cognitively unimpaired, 151 mild cognitive impairment and 17 dementia participants) with age ranges of 30–90 years from the population-based sample of Mayo Clinic Study of Aging. We used computational causal structure discovery and regression analyses to evaluate the predictors of WMH and DTI, and to ascertain the mediating effect of DTI on WMH. We further derived causal graphs to understand the complex interrelationships between midlife protective factors, vascular risk factors, diffusion changes, and WMH. Older age, female sex, and hypertension were associated with higher baseline and progression of WMH as well as DTI measures (P ≤ 0.003). The effects of hypertension and sex on WMH were partially mediated by microstructural changes measured on DTI. Higher midlife physical activity was predictive of lower WMH through a direct impact on better white matter tract integrity as well as an indirect effect through reducing the risk of hypertension by lowering BMI. This study identified key risks factors, early brain changes, and pathways that may lead to the evolution of WMH.
AB - Our goal was to understand the complex relationship between age, sex, midlife risk factors, and early white matter changes measured by diffusion tensor imaging (DTI) and their role in the evolution of longitudinal white matter hyperintensities (WMH). We identified 1564 participants (1396 cognitively unimpaired, 151 mild cognitive impairment and 17 dementia participants) with age ranges of 30–90 years from the population-based sample of Mayo Clinic Study of Aging. We used computational causal structure discovery and regression analyses to evaluate the predictors of WMH and DTI, and to ascertain the mediating effect of DTI on WMH. We further derived causal graphs to understand the complex interrelationships between midlife protective factors, vascular risk factors, diffusion changes, and WMH. Older age, female sex, and hypertension were associated with higher baseline and progression of WMH as well as DTI measures (P ≤ 0.003). The effects of hypertension and sex on WMH were partially mediated by microstructural changes measured on DTI. Higher midlife physical activity was predictive of lower WMH through a direct impact on better white matter tract integrity as well as an indirect effect through reducing the risk of hypertension by lowering BMI. This study identified key risks factors, early brain changes, and pathways that may lead to the evolution of WMH.
KW - Causal discovery
KW - Diffusion MRI
KW - FLAIR
KW - White matter health
KW - White matter hyperintensities
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U2 - 10.1016/j.nicl.2022.103077
DO - 10.1016/j.nicl.2022.103077
M3 - Article
C2 - 35696810
AN - SCOPUS:85132571657
SN - 2213-1582
VL - 35
JO - NeuroImage: Clinical
JF - NeuroImage: Clinical
M1 - 103077
ER -