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Network Enrichment Significance Testing in Brain-Phenotype Association Studies
Sarah M Weinstein1, Simon N Vandekar2, Aaron F Alexander-Bloch3,4
1Department of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA.
Biorxiv : the Preprint Server for Biology
|November 28, 2023
Summary
We developed a new method, Network Enrichment Significance Testing (NEST), to accurately test brain-phenotype associations within specific brain networks. This approach improves upon existing methods for neuroimaging analysis.
Area of Science:
- Neuroimaging
- Genomics
- Biostatistics
Background:
- Functional brain networks are crucial for interpreting brain-phenotype associations.
- Current methods for assessing enrichment of these associations lack rigor and make unrealistic assumptions, leading to high false positive rates.
Conclusions:
- NEST offers a statistically sound method for identifying specific brain networks associated with phenotypes, overcoming limitations of previous approaches.
- This framework enhances the interpretation of neuroimaging findings and has broad applicability in neuroscience research.
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