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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| Format: | Article |
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MDPI AG
2021-11-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/11/11/1491 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:39:47Z |
| format | Article |
| id | doaj.art-e21be0eacc034374b539d9a1fc0b193a |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T05:39:47Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-e21be0eacc034374b539d9a1fc0b193a2023-11-22T22:38:28ZengMDPI AGBrain Sciences2076-34252021-11-011111149110.3390/brainsci11111491Anatomically Standardized Detection of MRI Atrophy Patterns in Early-Stage Alzheimer’s DiseaseLukas Lenhart0Stephan Seiler1Lukas Pirpamer2Georg Goebel3Thomas Potrusil4Michaela Wagner5Peter Dal Bianco6Gerhard Ransmayr7Reinhold Schmidt8Thomas Benke9Christoph Scherfler10Department of Neurology, Medical University of Innsbruck, 6020 Innsbruck, AustriaCenter for Neurosciences, Department of Neurology, University of California, Davis, CA 95616, USADepartment of Neurology, Medical University of Graz, 8036 Graz, AustriaDepartment of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Müllerstraße 44, 6020 Innsbruck, AustriaDepartment of Neurology, Medical University of Innsbruck, 6020 Innsbruck, AustriaDepartment of Neuroradiology, Medical University of Innsbruck, 6020 Innsbruck, AustriaDepartment of Neurology, Medical University of Vienna, 1090 Vienna, AustriaDepartment of Neurology, Kepler University Hospital, 4021 Linz, AustriaDepartment of Neurology, Medical University of Graz, 8036 Graz, AustriaDepartment of Neurology, Medical University of Innsbruck, 6020 Innsbruck, AustriaDepartment of Neurology, Medical University of Innsbruck, 6020 Innsbruck, AustriaMRI 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.https://www.mdpi.com/2076-3425/11/11/1491Alzheimer’s diseasestructural magnetic resonance imagingcortical thicknesshippocampal subfields |
| spellingShingle | 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 Brain Sciences Alzheimer’s disease structural magnetic resonance imaging cortical thickness hippocampal subfields |
| 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 | Alzheimer’s disease structural magnetic resonance imaging cortical thickness hippocampal subfields |
| url | https://www.mdpi.com/2076-3425/11/11/1491 |
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