ANTsX neuroimaging-derived structural phenotypes of UK Biobank
Nicholas J Tustison1,2, Michael A Yassa2, Batool Rizvi2
1Department of Radiology & Medical Imaging, University of Virginia, Charlottesville, VA.
Research Square
|November 14, 2023
Summary
This study enhances UK Biobank neuroimaging data with new brain measurements. Different software tools show varied performance, highlighting the need for careful selection of imaging-derived phenotypes (IDPs) for research.
Area of Science:
- Neuroscience
- Radiology
- Genetics
Background:
- UK Biobank is a vital resource for studying lifestyle, environmental, and genetic factors in health and disease.
- Neuroimaging-derived phenotypes (IDPs) from UK Biobank serve as crucial biomarkers in neuroscience research.
Approach:
- Augmented existing UK Biobank structural IDPs with measurements from the Advanced Normalization Tools Ecosystem.
- Included cortical, subcortical, hippocampal, and cerebellar measurements based on established anatomical atlases.
- Utilized predictive modeling to assess the clinical utility of IDPs using phenotypic correlates like age and cognitive function.
Key Points:
- New IDPs include medial temporal lobe and cerebellum parcellations and thickness measurements.
- Predictive modeling assessed IDP utility individually and in combination.
- Comparative analysis provided insights into software library performance and clinical interpretability.
Conclusions:
- Results showed varied predictive accuracy between different software-derived IDP sets.
- The combination of IDPs demonstrated differing performance.
- Careful consideration of IDP selection and utilization is essential for maximizing research value.
