Development of PowerMap: a software package for statistical power calculation in neuroimaging studies

Area of Science:

• Neuroimaging
• Biostatistics
• Medical Imaging Analysis

Background:

• Existing statistical software for neuroimaging (fMRI, PET, VBM) lacks power and sample size calculation capabilities.
• Neuroimaging data analysis requires corrections for massive multiple comparisons due to correlated 3D voxel data.
• Specialized tools are essential for effective planning of neuroimaging studies.

Purpose of the Study:

• To develop a user-friendly software tool for power and sample size calculations in neuroimaging research.
• To provide researchers with a method for planning studies involving complex 3D imaging data.
• To facilitate accurate study design in the field of neuroimaging.

Main Methods:

• Developed PowerMap, a graphical user interface (GUI)-based software tool.
• Implemented theoretical power calculation algorithms based on non-central random field theory.
• Integrated calculations for statistical analyses with false discovery rate (FDR) corrections.

Main Results:

• PowerMap enables calculation of power and sample size for neuroimaging data in 3D image formats.
• The tool supports power calculations with FDR corrections.
• Demonstrated usability through worked examples including regression, ANOVA, and two-sample T-tests.

Conclusions:

• PowerMap offers a specialized solution for power and sample size estimation in neuroimaging.
• The software simplifies study planning for researchers lacking advanced imaging statistics expertise.
• PowerMap is expected to significantly aid future neuroimaging research design and execution.