{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhang X"],"funding":["NIBIB NIH HHS","NIDA NIH HHS","NIA NIH HHS","National Institute on Drug Abuse","National Institute of Biomedical Imaging and Bioengineering","National Institute on Aging"],"pagination":["e70205"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12018902"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["46(6)"],"pubmed_abstract":["Brain atrophy over time, as measured by magnetic resonance imaging (MRI), has been shown to predict subsequent cognitive impairment among individuals who were cognitively normal when first evaluated, indicating that subtle brain atrophy associated with Alzheimer's disease (AD) may begin years before clinical symptoms appear. Traditionally, atrophy has been quantified by differences in brain volume or thickness over a specified timeframe. Research indicates that the rate of atrophy varies across different brain regions, which themselves exhibit complex spatial and hierarchical organizations. These characteristics collectively emphasize the need for diverse summary measures that can effectively capture the multidimensional nature of degeneration. In this study, we explore the use of distance"],"journal":["Human brain mapping"],"pubmed_title":["MRI Distance Measures as a Predictor of Subsequent Clinical Status During the Preclinical Phase of Alzheimer's Disease and Related Disorders."],"pmcid":["PMC12018902"],"funding_grant_id":["P30 AG010124","R01 AG027161","U01 AG033655","RF1 AG054409","U01 AG068057","U19 AG032438","P30 AG066507","P30 AG062715","EB029977","U19 AG033655","RF1 AG059869","R01 AG068002","P30 AG066444","U01 AG032438","RF1 AG027161","U54 DA049110","P01 AG026276","R01 EB029977","EB031771","R01AG068002","P41 EB031771","DA049110","P01 AG003991"],"pubmed_authors":["Albert MS","Caffo BS","Masters CL","Soldan A","Kukull WA","Morris JC","Davatzikos C","Johnson SC","Guray E","Bilgel M","Zhang X","Pettigrew C","Benzinger TLS","Resnick SM","Wang Z","Fripp J"],"additional_accession":[]},"is_claimable":false,"name":"MRI Distance Measures as a Predictor of Subsequent Clinical Status During the Preclinical Phase of Alzheimer's Disease and Related Disorders.","description":"Brain atrophy over time, as measured by magnetic resonance imaging (MRI), has been shown to predict subsequent cognitive impairment among individuals who were cognitively normal when first evaluated, indicating that subtle brain atrophy associated with Alzheimer's disease (AD) may begin years before clinical symptoms appear. Traditionally, atrophy has been quantified by differences in brain volume or thickness over a specified timeframe. Research indicates that the rate of atrophy varies across different brain regions, which themselves exhibit complex spatial and hierarchical organizations. These characteristics collectively emphasize the need for diverse summary measures that can effectively capture the multidimensional nature of degeneration. In this study, we explore the use of distance","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Apr","modification":"2025-06-26T03:06:01.13Z","creation":"2025-06-26T03:06:01.13Z"},"accession":"S-EPMC12018902","cross_references":{"pubmed":["40270360"],"doi":["10.1002/hbm.70205"]}}