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Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()

The early diagnostic value of glucose hypometabolism and atrophy as potential neuroimaging biomarkers of mild cognitive impairment (MCI) and Alzheimer's disease (AD) have been extensively explored using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic reson...

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Autores principales: Dukart, Juergen, Mueller, Karsten, Villringer, Arno, Kherif, Ferath, Draganski, Bogdan, Frackowiak, Richard, Schroeter, Matthias L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791277/
https://www.ncbi.nlm.nih.gov/pubmed/24179852
http://dx.doi.org/10.1016/j.nicl.2013.07.005
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author Dukart, Juergen
Mueller, Karsten
Villringer, Arno
Kherif, Ferath
Draganski, Bogdan
Frackowiak, Richard
Schroeter, Matthias L.
author_facet Dukart, Juergen
Mueller, Karsten
Villringer, Arno
Kherif, Ferath
Draganski, Bogdan
Frackowiak, Richard
Schroeter, Matthias L.
author_sort Dukart, Juergen
collection PubMed
description The early diagnostic value of glucose hypometabolism and atrophy as potential neuroimaging biomarkers of mild cognitive impairment (MCI) and Alzheimer's disease (AD) have been extensively explored using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (MRI). The vast majority of previous imaging studies neglected the effects of single factors, such as age, symptom severity or time to conversion in MCI thus limiting generalisability of results across studies. Here, we investigated the impact of these factors on metabolic and structural differences. FDG-PET and MRI data from AD patients (n = 80), MCI converters (n = 65) and MCI non-converters (n = 64) were compared to data of healthy subjects (n = 79). All patient groups were split into subgroups by age, time to conversion (for MCI), or symptom severity and compared to the control group. AD patients showed a strongly age-dependent pattern, with younger patients showing significantly more extensive reductions in gray matter volume and glucose utilisation. In the MCI converter group, the amount of glucose utilisation reduction was linked to the time to conversion but not to atrophy. Our findings indicate that FDG-PET might be more closely linked to future cognitive decline whilst MRI being more closely related to the current cognitive state reflects potentially irreversible damage.
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spelling pubmed-37912772013-10-31 Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease() Dukart, Juergen Mueller, Karsten Villringer, Arno Kherif, Ferath Draganski, Bogdan Frackowiak, Richard Schroeter, Matthias L. Neuroimage Clin Article The early diagnostic value of glucose hypometabolism and atrophy as potential neuroimaging biomarkers of mild cognitive impairment (MCI) and Alzheimer's disease (AD) have been extensively explored using [18F]fluorodeoxyglucose positron emission tomography (FDG-PET) and structural magnetic resonance imaging (MRI). The vast majority of previous imaging studies neglected the effects of single factors, such as age, symptom severity or time to conversion in MCI thus limiting generalisability of results across studies. Here, we investigated the impact of these factors on metabolic and structural differences. FDG-PET and MRI data from AD patients (n = 80), MCI converters (n = 65) and MCI non-converters (n = 64) were compared to data of healthy subjects (n = 79). All patient groups were split into subgroups by age, time to conversion (for MCI), or symptom severity and compared to the control group. AD patients showed a strongly age-dependent pattern, with younger patients showing significantly more extensive reductions in gray matter volume and glucose utilisation. In the MCI converter group, the amount of glucose utilisation reduction was linked to the time to conversion but not to atrophy. Our findings indicate that FDG-PET might be more closely linked to future cognitive decline whilst MRI being more closely related to the current cognitive state reflects potentially irreversible damage. Elsevier 2013-07-26 /pmc/articles/PMC3791277/ /pubmed/24179852 http://dx.doi.org/10.1016/j.nicl.2013.07.005 Text en © 2013 The Authors http://creativecommons.org/licenses/by-nc-sa/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike License, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Dukart, Juergen
Mueller, Karsten
Villringer, Arno
Kherif, Ferath
Draganski, Bogdan
Frackowiak, Richard
Schroeter, Matthias L.
Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()
title Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()
title_full Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()
title_fullStr Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()
title_full_unstemmed Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()
title_short Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer's disease()
title_sort relationship between imaging biomarkers, age, progression and symptom severity in alzheimer's disease()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3791277/
https://www.ncbi.nlm.nih.gov/pubmed/24179852
http://dx.doi.org/10.1016/j.nicl.2013.07.005
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