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

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Low statistical power in neuroimaging hinders research. PRISME (Power Resampling Infrastructure for Statistical Method Evaluation) is a new MATLAB toolbox offering efficient, method-agnostic power analysis for neuroimaging studies, improving reproducibility and resource use.

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Area of Science:

  • Neuroimaging
  • Statistical Analysis
  • Computational Neuroscience

Background:

  • Low statistical power is a significant issue in neuroimaging research, leading to irreproducible findings and inefficient resource allocation.
  • Performing power analyses is crucial for study design but is often hindered by a lack of analytical solutions and high computational demands.

Purpose of the Study:

  • To introduce PRISME (Power Resampling Infrastructure for Statistical Method Evaluation), a MATLAB toolbox designed for neuroimaging power benchmarking.
  • To provide a computational framework for empirical power analysis that is independent of specific inference methods, facilitating large-scale benchmarking and comparison.

Main Methods:

  • PRISME utilizes a non-parametric, flexible algorithm with unified data representations to support diverse neuroimaging data types, including voxel-based activation and functional connectivity.
  • The toolbox accommodates various test types, such as association and difference tests with behavioral and clinical measures.
  • Algorithmic optimizations achieve a 25x speedup, enabling larger-scale power benchmarking.

Main Results:

  • PRISME offers a method- and data-type-agnostic approach to power analysis in neuroimaging.
  • It successfully enabled the first power analysis for the ABCD dataset.
  • The toolbox provides a unified solution for power analysis across diverse neuroimaging study designs.

Conclusions:

  • PRISME addresses the critical need for efficient and flexible power analysis tools in neuroimaging.
  • Its computational framework enhances the ability to conduct robust power benchmarking and method comparison.
  • The toolbox promotes more reliable and reproducible neuroimaging research by standardizing power analysis.