Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities.

ABSTRACT: A primary challenge to the data-driven analysis is the balance between poor generalizability of population-based research and characterizing more subject-, study- and population-specific variability. We previously introduced a fully automated spatially constrained independent component analysis (ICA) framework called NeuroMark and its functional MRI (fMRI) template. NeuroMark has been successfully applied in numerous studies, identifying brain markers reproducible across datasets and disorders. The first NeuroMark template was constructed based on young adult cohorts. We recently expanded on this initiative by creating a standardized normative multi-spatial-scale functional template using over 100,000 subjects, aiming to improve generalizability and comparability across studies involving d

SUBMITTER: Fu Z 

PROVIDER: S-EPMC11416721 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature