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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MDPI AG
2021
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oai:doaj.org-article:e21be0eacc034374b539d9a1fc0b193a2021-11-25T16:58:23ZAnatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease10.3390/brainsci111114912076-3425https://doaj.org/article/e21be0eacc034374b539d9a1fc0b193a2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3425/11/11/1491https://doaj.org/toc/2076-3425MRI 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.Lukas LenhartStephan SeilerLukas PirpamerGeorg GoebelThomas PotrusilMichaela WagnerPeter Dal BiancoGerhard RansmayrReinhold SchmidtThomas BenkeChristoph ScherflerMDPI AGarticleAlzheimer’s diseasestructural magnetic resonance imagingcortical thicknesshippocampal subfieldsNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENBrain Sciences, Vol 11, Iss 1491, p 1491 (2021) |
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Alzheimer’s disease structural magnetic resonance imaging cortical thickness hippocampal subfields Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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Alzheimer’s disease structural magnetic resonance imaging cortical thickness hippocampal subfields Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Lukas Lenhart Stephan Seiler Lukas Pirpamer Georg Goebel Thomas Potrusil Michaela Wagner Peter Dal Bianco Gerhard Ransmayr Reinhold Schmidt Thomas Benke Christoph Scherfler Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s Disease |
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. |
format |
article |
author |
Lukas Lenhart Stephan Seiler Lukas Pirpamer Georg Goebel Thomas Potrusil Michaela Wagner Peter Dal Bianco Gerhard Ransmayr Reinhold Schmidt Thomas Benke Christoph Scherfler |
author_facet |
Lukas Lenhart Stephan Seiler Lukas Pirpamer Georg Goebel Thomas Potrusil Michaela Wagner Peter Dal Bianco Gerhard Ransmayr Reinhold Schmidt Thomas Benke Christoph Scherfler |
author_sort |
Lukas Lenhart |
title |
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_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_sort |
anatomically standardized detection of mri atrophy patterns in early-stage alzheimer’s disease |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/e21be0eacc034374b539d9a1fc0b193a |
work_keys_str_mv |
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