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Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease
We describe a fully automatic framework for classification of two types of dementia based on the differences in the shape of brain structures. We consider Alzheimer’s disease (AD), mild cognitive impairment of individuals who converted to AD within 18 months (MCIc), and normal controls (NC). Our app...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240557/ https://www.ncbi.nlm.nih.gov/pubmed/27911322 http://dx.doi.org/10.3233/JAD-160900 |
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author | Glozman, Tanya Solomon, Justin Pestilli, Franco Guibas, Leonidas |
author_facet | Glozman, Tanya Solomon, Justin Pestilli, Franco Guibas, Leonidas |
author_sort | Glozman, Tanya |
collection | PubMed |
description | We describe a fully automatic framework for classification of two types of dementia based on the differences in the shape of brain structures. We consider Alzheimer’s disease (AD), mild cognitive impairment of individuals who converted to AD within 18 months (MCIc), and normal controls (NC). Our approach uses statistical learning and a feature space consisting of projection-based shape descriptors, allowing for canonical representation of brain regions. Our framework automatically identifies the structures most affected by the disease. We evaluate our results by comparing to other methods using a standardized data set of 375 adults available from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Our framework is sensitive to identifying the onset of Alzheimer’s disease, achieving up to 88.13% accuracy in classifying MCIc versus NC, outperforming previous methods. |
format | Online Article Text |
id | pubmed-5240557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-52405572017-01-23 Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease Glozman, Tanya Solomon, Justin Pestilli, Franco Guibas, Leonidas J Alzheimers Dis Research Article We describe a fully automatic framework for classification of two types of dementia based on the differences in the shape of brain structures. We consider Alzheimer’s disease (AD), mild cognitive impairment of individuals who converted to AD within 18 months (MCIc), and normal controls (NC). Our approach uses statistical learning and a feature space consisting of projection-based shape descriptors, allowing for canonical representation of brain regions. Our framework automatically identifies the structures most affected by the disease. We evaluate our results by comparing to other methods using a standardized data set of 375 adults available from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Our framework is sensitive to identifying the onset of Alzheimer’s disease, achieving up to 88.13% accuracy in classifying MCIc versus NC, outperforming previous methods. IOS Press 2017-01-12 /pmc/articles/PMC5240557/ /pubmed/27911322 http://dx.doi.org/10.3233/JAD-160900 Text en IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Glozman, Tanya Solomon, Justin Pestilli, Franco Guibas, Leonidas Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease |
title | Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease |
title_full | Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease |
title_fullStr | Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease |
title_full_unstemmed | Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease |
title_short | Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease |
title_sort | shape-attributes of brain structures as biomarkers for alzheimer’s disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5240557/ https://www.ncbi.nlm.nih.gov/pubmed/27911322 http://dx.doi.org/10.3233/JAD-160900 |
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