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The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment

INTRODUCTION: An Alzheimer's disease (AD) biomarker adjusted for age-related brain changes should improve specificity for AD-related pathological burden. METHODS: We calculated a brain-age-adjusted “personalized AD cortical thickness index” (pADi) in mild cognitive impairment patients from the...

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Autores principales: Racine, Annie M., Brickhouse, Michael, Wolk, David A., Dickerson, Bradford C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956936/
https://www.ncbi.nlm.nih.gov/pubmed/29780874
http://dx.doi.org/10.1016/j.dadm.2018.02.007
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author Racine, Annie M.
Brickhouse, Michael
Wolk, David A.
Dickerson, Bradford C.
author_facet Racine, Annie M.
Brickhouse, Michael
Wolk, David A.
Dickerson, Bradford C.
author_sort Racine, Annie M.
collection PubMed
description INTRODUCTION: An Alzheimer's disease (AD) biomarker adjusted for age-related brain changes should improve specificity for AD-related pathological burden. METHODS: We calculated a brain-age-adjusted “personalized AD cortical thickness index” (pADi) in mild cognitive impairment patients from the Alzheimer's Disease Neuroimaging Initiative. We performed receiver operating characteristic analysis for discrimination between patients with and without cerebrospinal fluid evidence of AD and logistic regression in an independent sample to determine if a dichotomized pADi predicted conversion to AD dementia. RESULTS: Receiver operating characteristic area under the curve was 0.69 and 0.72 in the two samples. Three empirical methods identified the same cut-point for pADi in the discovery sample. In the validation sample, 83% of pADi+ mild cognitive impairment patients were cerebrospinal fluid AD biomarker positive. pADi+ mild cognitive impairment patients (n = 63, 38%) were more likely to progress to AD dementia after 1 (odds ratio = 2.9) and 3 (odds ratio = 2.6) years. DISCUSSION: The pADi is a personalized, magnetic resonance imaging–derived AD biomarker that predicts progression to dementia.
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spelling pubmed-59569362018-05-18 The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment Racine, Annie M. Brickhouse, Michael Wolk, David A. Dickerson, Bradford C. Alzheimers Dement (Amst) Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson) INTRODUCTION: An Alzheimer's disease (AD) biomarker adjusted for age-related brain changes should improve specificity for AD-related pathological burden. METHODS: We calculated a brain-age-adjusted “personalized AD cortical thickness index” (pADi) in mild cognitive impairment patients from the Alzheimer's Disease Neuroimaging Initiative. We performed receiver operating characteristic analysis for discrimination between patients with and without cerebrospinal fluid evidence of AD and logistic regression in an independent sample to determine if a dichotomized pADi predicted conversion to AD dementia. RESULTS: Receiver operating characteristic area under the curve was 0.69 and 0.72 in the two samples. Three empirical methods identified the same cut-point for pADi in the discovery sample. In the validation sample, 83% of pADi+ mild cognitive impairment patients were cerebrospinal fluid AD biomarker positive. pADi+ mild cognitive impairment patients (n = 63, 38%) were more likely to progress to AD dementia after 1 (odds ratio = 2.9) and 3 (odds ratio = 2.6) years. DISCUSSION: The pADi is a personalized, magnetic resonance imaging–derived AD biomarker that predicts progression to dementia. Elsevier 2018-03-17 /pmc/articles/PMC5956936/ /pubmed/29780874 http://dx.doi.org/10.1016/j.dadm.2018.02.007 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson)
Racine, Annie M.
Brickhouse, Michael
Wolk, David A.
Dickerson, Bradford C.
The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
title The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
title_full The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
title_fullStr The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
title_full_unstemmed The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
title_short The personalized Alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
title_sort personalized alzheimer's disease cortical thickness index predicts likely pathology and clinical progression in mild cognitive impairment
topic Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956936/
https://www.ncbi.nlm.nih.gov/pubmed/29780874
http://dx.doi.org/10.1016/j.dadm.2018.02.007
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