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In vivo Detection of Alzheimer’s Disease

Recent revisions to the diagnostic criteria for Alzheimer’s disease (AD) incorporated conceptual advances in the field. Specifically, AD is now recognized to encompass a continuum, spanning from preclinical (accruing brain pathology in the absence of symptoms) through symptomatic predementia (prodro...

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Autores principales: Leuzy, Antoine, Heurling, Kerstin, Ashton, Nicholas J., Schöll, Michael, Zimmer, Eduardo R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: YJBM 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153625/
https://www.ncbi.nlm.nih.gov/pubmed/30258316
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author Leuzy, Antoine
Heurling, Kerstin
Ashton, Nicholas J.
Schöll, Michael
Zimmer, Eduardo R.
author_facet Leuzy, Antoine
Heurling, Kerstin
Ashton, Nicholas J.
Schöll, Michael
Zimmer, Eduardo R.
author_sort Leuzy, Antoine
collection PubMed
description Recent revisions to the diagnostic criteria for Alzheimer’s disease (AD) incorporated conceptual advances in the field. Specifically, AD is now recognized to encompass a continuum, spanning from preclinical (accruing brain pathology in the absence of symptoms) through symptomatic predementia (prodromal AD, mild cognitive impairment) and dementia phases. The role of biological markers (biomarkers) of both the underlying molecular pathologies and related neurodegenerative changes has also been acknowledged. In this abridged review, we provide an overview of fluid (cerebrospinal fluid and blood) and molecular imaging-based biomarkers used within the field and discuss the potential role of computer driven artificial intelligence approaches for both the early and accurate identification of AD and as a tool for population enrichment in clinical trials testing candidate disease modifying therapies.
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spelling pubmed-61536252018-09-26 In vivo Detection of Alzheimer’s Disease Leuzy, Antoine Heurling, Kerstin Ashton, Nicholas J. Schöll, Michael Zimmer, Eduardo R. Yale J Biol Med Review Recent revisions to the diagnostic criteria for Alzheimer’s disease (AD) incorporated conceptual advances in the field. Specifically, AD is now recognized to encompass a continuum, spanning from preclinical (accruing brain pathology in the absence of symptoms) through symptomatic predementia (prodromal AD, mild cognitive impairment) and dementia phases. The role of biological markers (biomarkers) of both the underlying molecular pathologies and related neurodegenerative changes has also been acknowledged. In this abridged review, we provide an overview of fluid (cerebrospinal fluid and blood) and molecular imaging-based biomarkers used within the field and discuss the potential role of computer driven artificial intelligence approaches for both the early and accurate identification of AD and as a tool for population enrichment in clinical trials testing candidate disease modifying therapies. YJBM 2018-09-21 /pmc/articles/PMC6153625/ /pubmed/30258316 Text en Copyright ©2018, Yale Journal of Biology and Medicine https://creativecommons.org/licenses/by-nc/3.0/ This is an open access article distributed under the terms of the Creative Commons CC BY-NC license, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use the material for commercial purposes.
spellingShingle Review
Leuzy, Antoine
Heurling, Kerstin
Ashton, Nicholas J.
Schöll, Michael
Zimmer, Eduardo R.
In vivo Detection of Alzheimer’s Disease
title In vivo Detection of Alzheimer’s Disease
title_full In vivo Detection of Alzheimer’s Disease
title_fullStr In vivo Detection of Alzheimer’s Disease
title_full_unstemmed In vivo Detection of Alzheimer’s Disease
title_short In vivo Detection of Alzheimer’s Disease
title_sort in vivo detection of alzheimer’s disease
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6153625/
https://www.ncbi.nlm.nih.gov/pubmed/30258316
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