PRISME: A MATLAB Toolbox For Large Data-Driven Multimodal Power Benchmarking.

ABSTRACT: Low statistical power in neuroimaging often undermines research in the field, leading to missed effects, wasted resources, and reduced reproducibility. Performing power analyses during the study design phase is extremely important, but often prohibitively difficult due to a lack of analytical solutions and high computational costs. We present PRISME (Power Resampling Infrastructure for Statistical Method Evaluation), a MATLAB toolbox for neuroimaging power benchmarking. PRISME provides a computational framework for empirical power analysis independent of inference methods, enabling large scale power benchmarking and method comparison. The toolbox supports diverse neuroimaging data types, including both voxel-based activation and functional connectivity analyses, with a non-parametric, flex

SUBMITTER: Cravo F 

PROVIDER: S-EPMC12879657 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature