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Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease

MRI studies have consistently identified atrophy patterns in Alzheimer’s disease (AD) through a whole-brain voxel-based analysis, but efforts to investigate morphometric profiles using anatomically standardized and automated whole-brain ROI analyses, performed at the individual subject space, are st...

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Autores principales: Lenhart, Lukas, Seiler, Stephan, Pirpamer, Lukas, Goebel, Georg, Potrusil, Thomas, Wagner, Michaela, Dal Bianco, Peter, Ransmayr, Gerhard, Schmidt, Reinhold, Benke, Thomas, Scherfler, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615991/
https://www.ncbi.nlm.nih.gov/pubmed/34827490
http://dx.doi.org/10.3390/brainsci11111491
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author Lenhart, Lukas
Seiler, Stephan
Pirpamer, Lukas
Goebel, Georg
Potrusil, Thomas
Wagner, Michaela
Dal Bianco, Peter
Ransmayr, Gerhard
Schmidt, Reinhold
Benke, Thomas
Scherfler, Christoph
author_facet Lenhart, Lukas
Seiler, Stephan
Pirpamer, Lukas
Goebel, Georg
Potrusil, Thomas
Wagner, Michaela
Dal Bianco, Peter
Ransmayr, Gerhard
Schmidt, Reinhold
Benke, Thomas
Scherfler, Christoph
author_sort Lenhart, Lukas
collection PubMed
description MRI studies have consistently identified atrophy patterns in Alzheimer’s disease (AD) through a whole-brain voxel-based analysis, but efforts to investigate morphometric profiles using anatomically standardized and automated whole-brain ROI analyses, performed at the individual subject space, are still lacking. In this study we aimed (i) to utilize atlas-derived measurements of cortical thickness and subcortical volumes, including of the hippocampal subfields, to identify atrophy patterns in early-stage AD, and (ii) to compare cognitive profiles at baseline and during a one-year follow-up of those previously identified morphometric AD subtypes to predict disease progression. Through a prospectively recruited multi-center study, conducted at four Austrian sites, 120 patients were included with probable AD, a disease onset beyond 60 years and a clinical dementia rating of ≤1. Morphometric measures of T1-weighted images were obtained using FreeSurfer. A principal component and subsequent cluster analysis identified four morphometric subtypes, including (i) hippocampal predominant (30.8%), (ii) hippocampal-temporo-parietal (29.2%), (iii) parieto-temporal (hippocampal sparing, 20.8%) and (iv) hippocampal-temporal (19.2%) atrophy patterns that were associated with phenotypes differing predominately in the presentation and progression of verbal memory and visuospatial impairments. These morphologically distinct subtypes are based on standardized brain regions, which are anatomically defined and freely accessible so as to validate its diagnostic accuracy and enhance the prediction of disease progression.
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spelling pubmed-86159912021-11-26 Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease Lenhart, Lukas Seiler, Stephan Pirpamer, Lukas Goebel, Georg Potrusil, Thomas Wagner, Michaela Dal Bianco, Peter Ransmayr, Gerhard Schmidt, Reinhold Benke, Thomas Scherfler, Christoph Brain Sci Article MRI studies have consistently identified atrophy patterns in Alzheimer’s disease (AD) through a whole-brain voxel-based analysis, but efforts to investigate morphometric profiles using anatomically standardized and automated whole-brain ROI analyses, performed at the individual subject space, are still lacking. In this study we aimed (i) to utilize atlas-derived measurements of cortical thickness and subcortical volumes, including of the hippocampal subfields, to identify atrophy patterns in early-stage AD, and (ii) to compare cognitive profiles at baseline and during a one-year follow-up of those previously identified morphometric AD subtypes to predict disease progression. Through a prospectively recruited multi-center study, conducted at four Austrian sites, 120 patients were included with probable AD, a disease onset beyond 60 years and a clinical dementia rating of ≤1. Morphometric measures of T1-weighted images were obtained using FreeSurfer. A principal component and subsequent cluster analysis identified four morphometric subtypes, including (i) hippocampal predominant (30.8%), (ii) hippocampal-temporo-parietal (29.2%), (iii) parieto-temporal (hippocampal sparing, 20.8%) and (iv) hippocampal-temporal (19.2%) atrophy patterns that were associated with phenotypes differing predominately in the presentation and progression of verbal memory and visuospatial impairments. These morphologically distinct subtypes are based on standardized brain regions, which are anatomically defined and freely accessible so as to validate its diagnostic accuracy and enhance the prediction of disease progression. MDPI 2021-11-11 /pmc/articles/PMC8615991/ /pubmed/34827490 http://dx.doi.org/10.3390/brainsci11111491 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lenhart, Lukas
Seiler, Stephan
Pirpamer, Lukas
Goebel, Georg
Potrusil, Thomas
Wagner, Michaela
Dal Bianco, Peter
Ransmayr, Gerhard
Schmidt, Reinhold
Benke, Thomas
Scherfler, Christoph
Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease
title Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease
title_full Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease
title_fullStr Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease
title_full_unstemmed Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease
title_short Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease
title_sort anatomically standardized detection of mri atrophy patterns in early-stage alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615991/
https://www.ncbi.nlm.nih.gov/pubmed/34827490
http://dx.doi.org/10.3390/brainsci11111491
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