دورية أكاديمية
ANTsX neuroimaging-derived structural phenotypes of UK Biobank.
| العنوان: | ANTsX neuroimaging-derived structural phenotypes of UK Biobank. |
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| المؤلفون: | Tustison NJ; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. ntustison@virginia.edu.; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA. ntustison@virginia.edu., Yassa MA; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA., Rizvi B; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA., Cook PA; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA., Holbrook AJ; Department of Biostatistics, University of California, Los Angeles, CA, USA., Sathishkumar MT; Department of Neurobiology and Behavior, University of California, Irvine, CA, USA., Tustison MG; Santiago High School, Corona, CA, USA., Gee JC; Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA., Stone JR; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA., Avants BB; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA. |
| المصدر: | Scientific reports [Sci Rep] 2024 Apr 17; Vol. 14 (1), pp. 8848. Date of Electronic Publication: 2024 Apr 17. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | UK Biobank* , Biological Specimen Banks*, Ecosystem ; Prospective Studies ; Neuroimaging/methods ; Phenotype ; Magnetic Resonance Imaging/methods ; Brain |
| مستخلص: | 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. (© 2024. The Author(s).) |
| التعليقات: | Update of: Res Sq. 2023 Oct 30;:. (PMID: 37961236) |
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| معلومات مُعتمدة: | R01 EB031722 United States EB NIBIB NIH HHS; R01-EB031722 United States NH NIH HHS |
| تواريخ الأحداث: | Date Created: 20240417 Date Completed: 20240419 Latest Revision: 20240429 |
| رمز التحديث: | 20240429 |
| مُعرف محوري في PubMed: | PMC11024129 |
| DOI: | 10.1038/s41598-024-59440-6 |
| PMID: | 38632390 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-59440-6 |