Full correlation matrix analysis (FCMA): An unbiased method for task-related functional connectivity.

•There are exponentially more correlations than voxels in brain imaging data.•Such correlations are not commonly analyzed at full scale for computational reasons.•We developed full correlation matrix analysis (FCMA) to overcome these bottlenecks.•FCMA incorporates and refines parallel computing and machine learning algorithms.•We evaluate the performance of FCMA and demonstrate its use with a sample dataset.