Ramon Casanova1, Fang-Chi Hsu1, Ryan T Barnard1, Andrea M Anderson1, Rajesh Talluri2, Christopher T Whitlow3, Timothy M Hughes4, Michael Griswold2, Kathleen M Hayden5, Rebecca F Gottesman6, Lynne E Wagenknecht7. 1. Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA. 2. University of Mississippi Medical Center, Jackson, Mississippi, USA. 3. Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA. 4. Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA. 5. Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, USA. 6. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 7. Divison of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Abstract
INTRODUCTION: A data-driven index of dementia risk based on magnetic resonance imaging (MRI), the Alzheimer's Disease Pattern Similarity (AD-PS) score, was estimated for participants in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: AD-PS scores were generated for 839 cognitively non-impaired individuals with a mean follow-up of 4.86 years. The scores and a hypothesis-driven volumetric measure based on several brain regions susceptible to AD were compared as predictors of incident cognitive impairment in different settings. RESULTS: Logistic regression analyses suggest the data-driven AD-PS scores to be more predictive of incident cognitive impairment than its counterpart. Both biomarkers were more predictive of incident cognitive impairment in participants who were White, female, and apolipoprotein E gene (APOE) ε4 carriers. Random forest analyses including predictors from different domains ranked the AD-PS scores as the most relevant MRI predictor of cognitive impairment. CONCLUSIONS: Overall, the AD-PS scores were the stronger MRI-derived predictors of incident cognitive impairment in cognitively non-impaired individuals.
INTRODUCTION: A data-driven index of dementia risk based on magnetic resonance imaging (MRI), the Alzheimer's Disease Pattern Similarity (AD-PS) score, was estimated for participants in the Atherosclerosis Risk in Communities (ARIC) study. METHODS: AD-PS scores were generated for 839 cognitively non-impaired individuals with a mean follow-up of 4.86 years. The scores and a hypothesis-driven volumetric measure based on several brain regions susceptible to AD were compared as predictors of incident cognitive impairment in different settings. RESULTS: Logistic regression analyses suggest the data-driven AD-PS scores to be more predictive of incident cognitive impairment than its counterpart. Both biomarkers were more predictive of incident cognitive impairment in participants who were White, female, and apolipoprotein E gene (APOE) ε4 carriers. Random forest analyses including predictors from different domains ranked the AD-PS scores as the most relevant MRI predictor of cognitive impairment. CONCLUSIONS: Overall, the AD-PS scores were the stronger MRI-derived predictors of incident cognitive impairment in cognitively non-impaired individuals.
Authors: Allison R Kaup; Jasmine Nettiksimmons; Tamara B Harris; Kaycee M Sink; Suzanne Satterfield; Andrea L Metti; Hilsa N Ayonayon; Kristine Yaffe Journal: JAMA Neurol Date: 2015-03 Impact factor: 18.302
Authors: Prashanthi Vemuri; Jennifer L Whitwell; Kejal Kantarci; Keith A Josephs; Joseph E Parisi; Maria S Shiung; David S Knopman; Bradley F Boeve; Ronald C Petersen; Dennis W Dickson; Clifford R Jack Journal: Neuroimage Date: 2008-05-20 Impact factor: 6.556
Authors: Ramon Casanova; Fang-Chi Hsu; Kaycee M Sink; Stephen R Rapp; Jeff D Williamson; Susan M Resnick; Mark A Espeland Journal: PLoS One Date: 2013-11-08 Impact factor: 3.240
Authors: Aozhou Wu; A Richey Sharrett; Rebecca F Gottesman; Melinda C Power; Thomas H Mosley; Clifford R Jack; David S Knopman; B Gwen Windham; Alden L Gross; Josef Coresh Journal: JAMA Netw Open Date: 2019-05-03
Authors: Diana Younan; Xinhui Wang; Ramon Casanova; Ryan Barnard; Sarah A Gaussoin; Santiago Saldana; Andrew J Petkus; Daniel P Beavers; Susan M Resnick; JoAnn E Manson; Marc L Serre; William Vizuete; Victor W Henderson; Bonnie C Sachs; Joel A Salinas; Margaret Gatz; Mark A Espeland; Helena C Chui; Sally A Shumaker; Stephen R Rapp; Jiu-Chiuan Chen Journal: Neurology Date: 2020-11-18 Impact factor: 9.910
Authors: Stefan Klöppel; Cynthia M Stonnington; Josephine Barnes; Frederick Chen; Carlton Chu; Catriona D Good; Irina Mader; L Anne Mitchell; Ameet C Patel; Catherine C Roberts; Nick C Fox; Clifford R Jack; John Ashburner; Richard S J Frackowiak Journal: Brain Date: 2008-10-03 Impact factor: 13.501
Authors: Ramon Casanova; Andrea M Anderson; Ryan T Barnard; Jamie N Justice; Anna Kucharska-Newton; Beverly Gwen Windham; Priya Palta; Rebecca F Gottesman; Thomas H Mosley; Timothy M Hughes; Lynne E Wagenknecht; Stephen B Kritchevsky Journal: Geroscience Date: 2022-09-02 Impact factor: 7.581