Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders
In summary, the localized, principal component analysis-like approach can reduce the dimensionality of medical images while still being able to identify meaningful local brain region alterations that are associated with genomic markers across multiple scales. The proposed method can be applied to various image types and can be easily integrated in many genotype-phenotype association study setups.
Authors
- Nils D. Forkert (ORCID: https://orcid.org/0000-0003-2556-3224)
- Matthias Wilms (ORCID: https://orcid.org/0000-0001-8845-360X)
- Sarah J. MacEachern (ORCID: https://orcid.org/0000-0001-8473-5650)
- Gabrielle Dagasso (ORCID: https://orcid.org/0000-0002-5037-4292)
Institutions
- University of Calgary (CA)
- Alberta Children's Hospital (CA)
- Hotchkiss Brain Institute (CA)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2024-12-11
- DOI
- https://doi.org/10.3389/fdata.2024.1429910
- Citations
- 1
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.34
Funders
- University of Calgary
- Children's Hospital Foundation
- Alberta Children's Hospital Foundation
- National Institutes of Health
- National Institute of Mental Health