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CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade
Cerebral spinal fluid (CSF) and structural imaging markers are suggested as biomarkers amended to existing diagnostic criteria of mild cognitive impairment (MCI) and Alzheimer's disease (AD). But there is no clear instruction on which markers should be used at which stage of dementia. This stud...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526616/ https://www.ncbi.nlm.nih.gov/pubmed/23284610 http://dx.doi.org/10.1371/journal.pone.0047406 |
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author | Yang, Xianfeng Tan, Ming Zhen Qiu, Anqi |
author_facet | Yang, Xianfeng Tan, Ming Zhen Qiu, Anqi |
author_sort | Yang, Xianfeng |
collection | PubMed |
description | Cerebral spinal fluid (CSF) and structural imaging markers are suggested as biomarkers amended to existing diagnostic criteria of mild cognitive impairment (MCI) and Alzheimer's disease (AD). But there is no clear instruction on which markers should be used at which stage of dementia. This study aimed to first investigate associations of the CSF markers as well as volumes and shapes of the hippocampus and lateral ventricles with MCI and AD at the baseline and secondly apply these baseline markers to predict MCI conversion in a two-year time using the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Our results suggested that the CSF markers, including Aβ42, t-tau, and p-tau, distinguished MCI or AD from NC, while the Aβ42 CSF marker contributed to the differentiation between MCI and AD. The hippocampal shapes performed better than the hippocampal volumes in classifying NC and MCI, NC and AD, as well as MCI and AD. Interestingly, the ventricular volumes were better than the ventricular shapes to distinguish MCI or AD from NC, while the ventricular shapes showed better accuracy than the ventricular volumes in classifying MCI and AD. As the CSF markers and the structural markers are complementary, the combination of them showed great improvements in the classification accuracies of MCI and AD. Moreover, the combination of these markers showed high sensitivity but low specificity for predicting conversion from MCI to AD in two years. Hence, it is feasible to employ a cross-sectional sample to investigate dynamic associations of the CSF and imaging markers with MCI and AD and to predict future MCI conversion. In particular, the volumetric information may be good for the early stage of AD, while morphological shapes should be considered as markers in the prediction of MCI conversion to AD together with the CSF markers. |
format | Online Article Text |
id | pubmed-3526616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35266162013-01-02 CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade Yang, Xianfeng Tan, Ming Zhen Qiu, Anqi PLoS One Research Article Cerebral spinal fluid (CSF) and structural imaging markers are suggested as biomarkers amended to existing diagnostic criteria of mild cognitive impairment (MCI) and Alzheimer's disease (AD). But there is no clear instruction on which markers should be used at which stage of dementia. This study aimed to first investigate associations of the CSF markers as well as volumes and shapes of the hippocampus and lateral ventricles with MCI and AD at the baseline and secondly apply these baseline markers to predict MCI conversion in a two-year time using the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Our results suggested that the CSF markers, including Aβ42, t-tau, and p-tau, distinguished MCI or AD from NC, while the Aβ42 CSF marker contributed to the differentiation between MCI and AD. The hippocampal shapes performed better than the hippocampal volumes in classifying NC and MCI, NC and AD, as well as MCI and AD. Interestingly, the ventricular volumes were better than the ventricular shapes to distinguish MCI or AD from NC, while the ventricular shapes showed better accuracy than the ventricular volumes in classifying MCI and AD. As the CSF markers and the structural markers are complementary, the combination of them showed great improvements in the classification accuracies of MCI and AD. Moreover, the combination of these markers showed high sensitivity but low specificity for predicting conversion from MCI to AD in two years. Hence, it is feasible to employ a cross-sectional sample to investigate dynamic associations of the CSF and imaging markers with MCI and AD and to predict future MCI conversion. In particular, the volumetric information may be good for the early stage of AD, while morphological shapes should be considered as markers in the prediction of MCI conversion to AD together with the CSF markers. Public Library of Science 2012-12-19 /pmc/articles/PMC3526616/ /pubmed/23284610 http://dx.doi.org/10.1371/journal.pone.0047406 Text en © 2012 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yang, Xianfeng Tan, Ming Zhen Qiu, Anqi CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade |
title | CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade |
title_full | CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade |
title_fullStr | CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade |
title_full_unstemmed | CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade |
title_short | CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade |
title_sort | csf and brain structural imaging markers of the alzheimer's pathological cascade |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526616/ https://www.ncbi.nlm.nih.gov/pubmed/23284610 http://dx.doi.org/10.1371/journal.pone.0047406 |
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