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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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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. |
format | Online Article Text |
id | pubmed-5956936 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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