CBMAT

CBMAT provides MATLAB-based functions to perform coordinate-based meta-analyses (CBMA) of reported human neuroimaging coordinates to identify consistent patterns of brain activation across studies.

Key Features:

• MATLAB implementation: Implemented as a MATLAB toolbox to execute computational CBMA workflows.
• Automated data preparation: Functions automate preparation of reported coordinates of significant brain activity for meta-analysis.
• Automated post hoc analyses: Functions perform post hoc analyses on CBMA results to support result interrogation.
• Reproducible processing: Automation enables reproducible and reliable execution of CBMA procedures to reduce manual errors.

Scientific Applications:

• Synthesis of neuroimaging findings: Aggregates reported coordinates from multiple neuroimaging studies to identify convergent effects.
• Identification of consistent activation patterns: Detects spatially consistent brain activation across experiments.
• Meta-analytic inference about brain function and structure: Supports interpretation of aggregated results to draw conclusions about brain function and structure.

Methodology:

Automated processing of reported neuroimaging coordinates for coordinate-based meta-analysis, including data preparation and post hoc analyses implemented in MATLAB.