OBJECTIVE: The purpose of this study was to examine longitudinal associations between structural MRI and cognition in a diverse sample. METHOD: Older adults (n = 444; Mage = 74.5)-121 African Americans, 212 Whites, and 111 Hispanics-underwent an average of 5.3 annual study visits. Approximately half were cognitively normal at baseline (global Clinical Dementia Rating M = 0.5). Of the patients with dementia, most (79%) were diagnosed with Alzheimer's disease (AD). MRI measures of gray matter volume (baseline and change), and hippocampal and white matter hyperintensity (WMH) volumes (baseline), were used to predict change in global cognition. Multilevel latent variable modeling was used to test the hypothesis that brain effects on cognitive change differed across ethnoracial groups. RESULTS: In a multivariable model, global gray matter change was the strongest predictor of cognitive decline in Whites and African Americans and specific temporal lobe change added incremental explanatory power in Whites. Baseline WMH volume was the strongest predictor of cognitive decline in Hispanics and made an incremental contribution in Whites. CONCLUSIONS: We found ethnoracial group differences in associations of brain variables with cognitive decline. The unique patterns in Whites appeared to suggest a greater influence of AD in this group. In contrast, cognitive decline in African Americans and Hispanics was most uniquely attributable to global gray matter change and baseline WMH, respectively. Brain changes underlying cognitive decline in older adults are heterogeneous and depend on fixed and modifiable risk factors that differ based on ethnicity and race. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
OBJECTIVE: The purpose of this study was to examine longitudinal associations between structural MRI and cognition in a diverse sample. METHOD: Older adults (n = 444; Mage = 74.5)-121 African Americans, 212 Whites, and 111 Hispanics-underwent an average of 5.3 annual study visits. Approximately half were cognitively normal at baseline (global Clinical Dementia Rating M = 0.5). Of the patients with dementia, most (79%) were diagnosed with Alzheimer's disease (AD). MRI measures of gray matter volume (baseline and change), and hippocampal and white matter hyperintensity (WMH) volumes (baseline), were used to predict change in global cognition. Multilevel latent variable modeling was used to test the hypothesis that brain effects on cognitive change differed across ethnoracial groups. RESULTS: In a multivariable model, global gray matter change was the strongest predictor of cognitive decline in Whites and African Americans and specific temporal lobe change added incremental explanatory power in Whites. Baseline WMH volume was the strongest predictor of cognitive decline in Hispanics and made an incremental contribution in Whites. CONCLUSIONS: We found ethnoracial group differences in associations of brain variables with cognitive decline. The unique patterns in Whites appeared to suggest a greater influence of AD in this group. In contrast, cognitive decline in African Americans and Hispanics was most uniquely attributable to global gray matter change and baseline WMH, respectively. Brain changes underlying cognitive decline in older adults are heterogeneous and depend on fixed and modifiable risk factors that differ based on ethnicity and race. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Authors: P Kochunov; J L Lancaster; P Thompson; R Woods; J Mazziotta; J Hardies; P Fox Journal: J Comput Assist Tomogr Date: 2001 Sep-Oct Impact factor: 1.826
Authors: Mary N Haan; Dan M Mungas; Hector M Gonzalez; Teresa A Ortiz; Ananth Acharya; William J Jagust Journal: J Am Geriatr Soc Date: 2003-02 Impact factor: 5.562
Authors: Paul K Crane; Kaavya Narasimhalu; Laura E Gibbons; Otto Pedraza; Kala M Mehta; Yuxiao Tang; Jennifer J Manly; Bruce R Reed; Dan M Mungas Journal: J Int Neuropsychol Soc Date: 2008-09 Impact factor: 2.892
Authors: Alden L Gross; Dan M Mungas; Paul K Crane; Laura E Gibbons; Anna MacKay-Brandt; Jennifer J Manly; Shubhabrata Mukherjee; Heather Romero; Bonnie Sachs; Michael Thomas; Guy G Potter; Richard N Jones Journal: Psychol Aging Date: 2015-11-02
Authors: Neil Schneiderman; Maria Llabre; Catherine C Cowie; Janice Barnhart; Mercedes Carnethon; Linda C Gallo; Aida L Giachello; Gerardo Heiss; Robert C Kaplan; Lisa M LaVange; Yanping Teng; Leonel Villa-Caballero; M Larissa Avilés-Santa Journal: Diabetes Care Date: 2014-08 Impact factor: 19.112
Authors: Dan Mungas; Evan Fletcher; Brandon E Gavett; Keith Widaman; Laura B Zahodne; Timothy J Hohman; Elizabeth Rose Mayeda; N Maritza Dowling; David K Johnson; Sarah Tomaszewski Farias Journal: J Int Neuropsychol Soc Date: 2021-01-18 Impact factor: 2.892
Authors: Jared J Tanner; Josue Cardoso; Ellen L Terry; Staja Q Booker; Toni L Glover; Cynthia Garvan; Hrishikesh Deshpande; Georg Deutsch; Song Lai; Roland Staud; Adrianna Addison; David Redden; Burel R Goodin; Catherine C Price; Roger B Fillingim; Kimberly T Sibille Journal: J Pain Date: 2021-08-21 Impact factor: 5.383
Authors: Kristen M George; Paola Gilsanz; Rachel L Peterson; Lisa L Barnes; Charles S DeCarli; Elizabeth Rose Mayeda; Dan M Mungas; Rachel A Whitmer Journal: J Gerontol A Biol Sci Med Sci Date: 2021-08-13 Impact factor: 6.591
Authors: Evan Fletcher; Brandon Gavett; Paul Crane; Anja Soldan; Timothy Hohman; Sarah Farias; Keith Widaman; Colin Groot; Miguel Arce Renteria; Laura Zahodne; Charles DeCarli; Dan Mungas Journal: Brain Date: 2021-05-07 Impact factor: 15.255
Authors: Sharmin Hossain; Michele K Evans; Alan B Zonderman; May A Beydoun; Jordan Weiss; Marie F Kuczmarski Journal: Br J Nutr Date: 2020-04-06 Impact factor: 3.718
Authors: Brandon E Gavett; Evan Fletcher; Keith F Widaman; Sarah Tomaszewski Farias; Charles DeCarli; Dan Mungas Journal: Neuropsychology Date: 2021-07-22 Impact factor: 3.424