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Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia

BACKGROUND: Although associated with dementia and cognitive impairment, microstructural white matter integrity is a rarely used marker of preclinical dementia. OBJECTIVE: We aimed to evaluate the individual and combined effects of multiple markers, with special focus on microstructural white matter...

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Autores principales: Müller, Theresa, Payton, Nicola M., Kalpouzos, Grégoria, Jessen, Frank, Grande, Giulia, Bäckman, Lars, Laukka, Erika J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683082/
https://www.ncbi.nlm.nih.gov/pubmed/32925047
http://dx.doi.org/10.3233/JAD-200445
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author Müller, Theresa
Payton, Nicola M.
Kalpouzos, Grégoria
Jessen, Frank
Grande, Giulia
Bäckman, Lars
Laukka, Erika J.
author_facet Müller, Theresa
Payton, Nicola M.
Kalpouzos, Grégoria
Jessen, Frank
Grande, Giulia
Bäckman, Lars
Laukka, Erika J.
author_sort Müller, Theresa
collection PubMed
description BACKGROUND: Although associated with dementia and cognitive impairment, microstructural white matter integrity is a rarely used marker of preclinical dementia. OBJECTIVE: We aimed to evaluate the individual and combined effects of multiple markers, with special focus on microstructural white matter integrity, in detecting individuals with increased dementia risk. METHODS: A dementia-free subsample (n = 212, mean age = 71.33 years) included in the population-based Swedish National Study on Aging and Care (SNAC-K) underwent magnetic resonance imaging (T1-weighted, fluid-attenuated inversion recovery, diffusion tensor imaging), neuropsychological testing (perceptual speed, episodic memory, semantic memory, letter and category fluency), and genotyping (APOE). Incident dementia was assessed during six years of follow-up. RESULTS: A global model (global cognition, APOE, total brain tissue volume: AUC = 0.920) rendered the highest predictive value for future dementia. Of the models based on specific markers, white matter integrity of the forceps major tract was included in the most predictive model, in combination with perceptual speed and hippocampal volume (AUC = 0.911). CONCLUSION: Assessment of microstructural white matter integrity may improve the early detection of dementia, although the added benefit in this study was relatively small.
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spelling pubmed-76830822020-12-03 Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia Müller, Theresa Payton, Nicola M. Kalpouzos, Grégoria Jessen, Frank Grande, Giulia Bäckman, Lars Laukka, Erika J. J Alzheimers Dis Research Article BACKGROUND: Although associated with dementia and cognitive impairment, microstructural white matter integrity is a rarely used marker of preclinical dementia. OBJECTIVE: We aimed to evaluate the individual and combined effects of multiple markers, with special focus on microstructural white matter integrity, in detecting individuals with increased dementia risk. METHODS: A dementia-free subsample (n = 212, mean age = 71.33 years) included in the population-based Swedish National Study on Aging and Care (SNAC-K) underwent magnetic resonance imaging (T1-weighted, fluid-attenuated inversion recovery, diffusion tensor imaging), neuropsychological testing (perceptual speed, episodic memory, semantic memory, letter and category fluency), and genotyping (APOE). Incident dementia was assessed during six years of follow-up. RESULTS: A global model (global cognition, APOE, total brain tissue volume: AUC = 0.920) rendered the highest predictive value for future dementia. Of the models based on specific markers, white matter integrity of the forceps major tract was included in the most predictive model, in combination with perceptual speed and hippocampal volume (AUC = 0.911). CONCLUSION: Assessment of microstructural white matter integrity may improve the early detection of dementia, although the added benefit in this study was relatively small. IOS Press 2020-10-13 /pmc/articles/PMC7683082/ /pubmed/32925047 http://dx.doi.org/10.3233/JAD-200445 Text en © 2020 – IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Müller, Theresa
Payton, Nicola M.
Kalpouzos, Grégoria
Jessen, Frank
Grande, Giulia
Bäckman, Lars
Laukka, Erika J.
Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia
title Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia
title_full Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia
title_fullStr Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia
title_full_unstemmed Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia
title_short Cognitive, Genetic, Brain Volume, and Diffusion Tensor Imaging Markers as Early Indicators of Dementia
title_sort cognitive, genetic, brain volume, and diffusion tensor imaging markers as early indicators of dementia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7683082/
https://www.ncbi.nlm.nih.gov/pubmed/32925047
http://dx.doi.org/10.3233/JAD-200445
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