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ANTsX neuroimaging-derived structural phenotypes of UK Biobank
UK Biobank is a large-scale epidemiological resource for investigating prospective correlations between various lifestyle, environmental, and genetic factors with health and disease progression. In addition to individual subject information obtained through surveys and physical examinations, a compr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635385/ https://www.ncbi.nlm.nih.gov/pubmed/37961236 http://dx.doi.org/10.21203/rs.3.rs-3459157/v1 |
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author | Tustison, Nicholas J. Yassa, Michael A. Rizvi, Batool Cook, Philip A. Holbrook, Andrew J. Sathishkumar, Mithra T. Tustison, Mia G. Gee, James C. Stone, James R. Avants, Brian B. |
author_facet | Tustison, Nicholas J. Yassa, Michael A. Rizvi, Batool Cook, Philip A. Holbrook, Andrew J. Sathishkumar, Mithra T. Tustison, Mia G. Gee, James C. Stone, James R. Avants, Brian B. |
author_sort | Tustison, Nicholas J. |
collection | PubMed |
description | UK Biobank is a large-scale epidemiological resource for investigating prospective correlations between various lifestyle, environmental, and genetic factors with health and disease progression. In addition to individual subject information obtained through surveys and physical examinations, a comprehensive neuroimaging battery consisting of multiple modalities provides imaging-derived phenotypes (IDPs) that can serve as biomarkers in neuroscience research. In this study, we augment the existing set of UK Biobank neuroimaging structural IDPs, obtained from well-established software libraries such as FSL and FreeSurfer, with related measurements acquired through the Advanced Normalization Tools Ecosystem. This includes previously established cortical and subcortical measurements defined, in part, based on the Desikan-Killiany-Tourville atlas. Also included are morphological measurements from two recent developments: medial temporal lobe parcellation of hippocampal and extra-hippocampal regions in addition to cerebellum parcellation and thickness based on the Schmahmann anatomical labeling. Through predictive modeling, we assess the clinical utility of these IDP measurements, individually and in combination, using commonly studied phenotypic correlates including age, fluid intelligence, numeric memory, and several other sociodemographic variables. The predictive accuracy of these IDP-based models, in terms of root-mean-squared-error or area-under-the-curve for continuous and categorical variables, respectively, provides comparative insights between software libraries as well as potential clinical interpretability. Results demonstrate varied performance between package-based IDP sets and their combination, emphasizing the need for careful consideration in their selection and utilization. |
format | Online Article Text |
id | pubmed-10635385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Journal Experts |
record_format | MEDLINE/PubMed |
spelling | pubmed-106353852023-11-13 ANTsX neuroimaging-derived structural phenotypes of UK Biobank Tustison, Nicholas J. Yassa, Michael A. Rizvi, Batool Cook, Philip A. Holbrook, Andrew J. Sathishkumar, Mithra T. Tustison, Mia G. Gee, James C. Stone, James R. Avants, Brian B. Res Sq Article UK Biobank is a large-scale epidemiological resource for investigating prospective correlations between various lifestyle, environmental, and genetic factors with health and disease progression. In addition to individual subject information obtained through surveys and physical examinations, a comprehensive neuroimaging battery consisting of multiple modalities provides imaging-derived phenotypes (IDPs) that can serve as biomarkers in neuroscience research. In this study, we augment the existing set of UK Biobank neuroimaging structural IDPs, obtained from well-established software libraries such as FSL and FreeSurfer, with related measurements acquired through the Advanced Normalization Tools Ecosystem. This includes previously established cortical and subcortical measurements defined, in part, based on the Desikan-Killiany-Tourville atlas. Also included are morphological measurements from two recent developments: medial temporal lobe parcellation of hippocampal and extra-hippocampal regions in addition to cerebellum parcellation and thickness based on the Schmahmann anatomical labeling. Through predictive modeling, we assess the clinical utility of these IDP measurements, individually and in combination, using commonly studied phenotypic correlates including age, fluid intelligence, numeric memory, and several other sociodemographic variables. The predictive accuracy of these IDP-based models, in terms of root-mean-squared-error or area-under-the-curve for continuous and categorical variables, respectively, provides comparative insights between software libraries as well as potential clinical interpretability. Results demonstrate varied performance between package-based IDP sets and their combination, emphasizing the need for careful consideration in their selection and utilization. American Journal Experts 2023-10-30 /pmc/articles/PMC10635385/ /pubmed/37961236 http://dx.doi.org/10.21203/rs.3.rs-3459157/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Tustison, Nicholas J. Yassa, Michael A. Rizvi, Batool Cook, Philip A. Holbrook, Andrew J. Sathishkumar, Mithra T. Tustison, Mia G. Gee, James C. Stone, James R. Avants, Brian B. ANTsX neuroimaging-derived structural phenotypes of UK Biobank |
title | ANTsX neuroimaging-derived structural phenotypes of UK Biobank |
title_full | ANTsX neuroimaging-derived structural phenotypes of UK Biobank |
title_fullStr | ANTsX neuroimaging-derived structural phenotypes of UK Biobank |
title_full_unstemmed | ANTsX neuroimaging-derived structural phenotypes of UK Biobank |
title_short | ANTsX neuroimaging-derived structural phenotypes of UK Biobank |
title_sort | antsx neuroimaging-derived structural phenotypes of uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635385/ https://www.ncbi.nlm.nih.gov/pubmed/37961236 http://dx.doi.org/10.21203/rs.3.rs-3459157/v1 |
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