{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Shen X"],"funding":["NIA NIH HHS","NCRR NIH HHS","NINDS NIH HHS"],"pagination":["103077"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9194644"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["35"],"pubmed_abstract":["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"],"journal":["NeuroImage. Clinical"],"pubmed_title":["Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities."],"pmcid":["PMC9194644"],"funding_grant_id":["R37 AG011378","R01 AG041851","P50 AG016574","C06 RR018898","R33 AG058738","U01 AG006786","R01 AG034676","R01 AG056366","R01 NS097495"],"pubmed_authors":["Mielke MM","Ma S","Graff-Radford J","Lesnick TG","Reid RI","Jack CR","Knopman DS","Raghavan S","Petersen RC","Simon GJ","Przybelski SA","Shen X","Vemuri P"],"additional_accession":[]},"is_claimable":false,"name":"Causal structure discovery identifies risk factors and early brain markers related to evolution of white matter hyperintensities.","description":"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","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-21T14:22:03.075Z","creation":"2025-04-21T14:22:03.075Z"},"accession":"S-EPMC9194644","cross_references":{"pubmed":["35696810"],"doi":["10.1016/j.nicl.2022.103077"]}}