BMACS: Bayesian meta-analysis of the cortical surface

Bayesian meta-analysis of the cortical surface (BMACS) is a novel model-based meta-analysis method that performs meta-analysis on the cortical surface. The core model is based on the log-Gaussian Cox processes (LGCP), and is performed through the integrated nested Laplace approximation (INLA) for parameter estimation. This repository contains the code to perform BMACS for human reasoning.

For detailed description, please refer to `README.md` file.