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Cognitive Decline Assessment: A Review From Medical Imaging Perspective

Aging is a complex process that involves changes at both molecular and morphological levels. However, our understanding of how aging affects brain anatomy and function is still poor. In addition, numerous biomarkers and imaging markers, usually associated with neurodegenerative diseases such as Alzh...

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Autores principales: Dartora, Caroline Machado, Borelli, Wyllians Vendramini, Koole, Michel, Marques da Silva, Ana Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416532/
https://www.ncbi.nlm.nih.gov/pubmed/34489675
http://dx.doi.org/10.3389/fnagi.2021.704661
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author Dartora, Caroline Machado
Borelli, Wyllians Vendramini
Koole, Michel
Marques da Silva, Ana Maria
author_facet Dartora, Caroline Machado
Borelli, Wyllians Vendramini
Koole, Michel
Marques da Silva, Ana Maria
author_sort Dartora, Caroline Machado
collection PubMed
description Aging is a complex process that involves changes at both molecular and morphological levels. However, our understanding of how aging affects brain anatomy and function is still poor. In addition, numerous biomarkers and imaging markers, usually associated with neurodegenerative diseases such as Alzheimer's disease (AD), have been clinically used to study cognitive decline. However, the path of cognitive decline from healthy aging to a mild cognitive impairment (MCI) stage has been studied only marginally. This review presents aspects of cognitive decline assessment based on the imaging differences between individuals cognitively unimpaired and in the decline spectrum. Furthermore, we discuss the relationship between imaging markers and the change in their patterns with aging by using neuropsychological tests. Our goal is to delineate how aging has been studied by using medical imaging tools and further explore the aging brain and cognitive decline. We find no consensus among the biomarkers to assess the cognitive decline and its relationship with the cognitive decline trajectory. Brain glucose hypometabolism was found to be directly related to aging and indirectly to cognitive decline. We still need to understand how to quantify an expected hypometabolism during cognitive decline during aging. The Aβ burden should be longitudinally studied to achieve a better consensus on its association with changes in the brain and cognition decline with aging. There exists a lack of standardization of imaging markers that highlight the need for their further improvement. In conclusion, we argue that there is a lot to investigate and understand cognitive decline better and seek a window for a suitable and effective treatment strategy.
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spelling pubmed-84165322021-09-05 Cognitive Decline Assessment: A Review From Medical Imaging Perspective Dartora, Caroline Machado Borelli, Wyllians Vendramini Koole, Michel Marques da Silva, Ana Maria Front Aging Neurosci Neuroscience Aging is a complex process that involves changes at both molecular and morphological levels. However, our understanding of how aging affects brain anatomy and function is still poor. In addition, numerous biomarkers and imaging markers, usually associated with neurodegenerative diseases such as Alzheimer's disease (AD), have been clinically used to study cognitive decline. However, the path of cognitive decline from healthy aging to a mild cognitive impairment (MCI) stage has been studied only marginally. This review presents aspects of cognitive decline assessment based on the imaging differences between individuals cognitively unimpaired and in the decline spectrum. Furthermore, we discuss the relationship between imaging markers and the change in their patterns with aging by using neuropsychological tests. Our goal is to delineate how aging has been studied by using medical imaging tools and further explore the aging brain and cognitive decline. We find no consensus among the biomarkers to assess the cognitive decline and its relationship with the cognitive decline trajectory. Brain glucose hypometabolism was found to be directly related to aging and indirectly to cognitive decline. We still need to understand how to quantify an expected hypometabolism during cognitive decline during aging. The Aβ burden should be longitudinally studied to achieve a better consensus on its association with changes in the brain and cognition decline with aging. There exists a lack of standardization of imaging markers that highlight the need for their further improvement. In conclusion, we argue that there is a lot to investigate and understand cognitive decline better and seek a window for a suitable and effective treatment strategy. Frontiers Media S.A. 2021-08-18 /pmc/articles/PMC8416532/ /pubmed/34489675 http://dx.doi.org/10.3389/fnagi.2021.704661 Text en Copyright © 2021 Dartora, Borelli, Koole and Marques da Silva. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Dartora, Caroline Machado
Borelli, Wyllians Vendramini
Koole, Michel
Marques da Silva, Ana Maria
Cognitive Decline Assessment: A Review From Medical Imaging Perspective
title Cognitive Decline Assessment: A Review From Medical Imaging Perspective
title_full Cognitive Decline Assessment: A Review From Medical Imaging Perspective
title_fullStr Cognitive Decline Assessment: A Review From Medical Imaging Perspective
title_full_unstemmed Cognitive Decline Assessment: A Review From Medical Imaging Perspective
title_short Cognitive Decline Assessment: A Review From Medical Imaging Perspective
title_sort cognitive decline assessment: a review from medical imaging perspective
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416532/
https://www.ncbi.nlm.nih.gov/pubmed/34489675
http://dx.doi.org/10.3389/fnagi.2021.704661
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