James R Hall1,2, Leigh A Johnson1,2, Fan Zhang1,3, Melissa Petersen1,3, Arthur W Toga4, Yonggang Shi4, David Mason2, Robert A Rissman5,6, Kristine Yaffe7,8, Sid E O'Bryant1,2. 1. Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, Texas, USA. 2. Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA. 3. Department of Family Medicine, University of North Texas Health Science Center, Fort Worth, Texas, USA. 4. Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California, USA. 5. Department of Neurosciences, University of California, San Diego, California, USA. 6. Veterans Affairs San Diego Healthcare System, San Diego, California, USA. 7. Department of Psychiatry, Neurology, and Epidemology and Biostatistics, University of California, San Francisco, California, USA. 8. San Francisco VA Medical Center, San Francisco, California, USA.
Abstract
INTRODUCTION: Alzheimer's disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. METHODS: 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health & Aging Brain among Latino Elders (HABLE) community-based study (Mexican American n = 851; non-Hispanic white n = 785). RESULTS: The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. CONCLUSION: Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.
INTRODUCTION: Alzheimer's disease (AD) is the most frequently occurring neurodegenerative disease; however, little work has been conducted examining biomarkers of AD among Mexican Americans. Here, we examined diffusion tensor MRI marker profiles for detecting mild cognitive impairment (MCI) and dementia in a multi-ethnic cohort. METHODS: 3T MRI measures of fractional anisotropy (FA) were examined among 1,636 participants of the ongoing community-based Health & Aging Brain among Latino Elders (HABLE) community-based study (Mexican American n = 851; non-Hispanic white n = 785). RESULTS: The FA profile was highly accurate in detecting both MCI (area under the receiver operating characteristic curve [AUC] = 0.99) and dementia (AUC = 0.98). However, the FA profile varied significantly not only between diagnostic groups but also between Mexican Americans and non-Hispanic whites. CONCLUSION: Findings suggest that diffusion tensor imaging markers may have a role in the neurodiagnostic process for detecting MCI and dementia among diverse populations.
Authors: Sid E O'Bryant; Stephen C Waring; C Munro Cullum; James Hall; Laura Lacritz; Paul J Massman; Philip J Lupo; Joan S Reisch; Rachelle Doody Journal: Arch Neurol Date: 2008-08
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Authors: Sid E O'Bryant; Melissa Edwards; Chloe V Menon; Gordon Gong; Robert Barber Journal: Int J Environ Res Public Health Date: 2011-03-15 Impact factor: 3.390
Authors: Jennifer C Howell; Kelly D Watts; Monica W Parker; Junjie Wu; Alexander Kollhoff; Thomas S Wingo; Cornelya D Dorbin; Deqiang Qiu; William T Hu Journal: Alzheimers Res Ther Date: 2017-11-02 Impact factor: 6.982
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