To pool or not to pool: Can we ignore cross-trial variability in FMRI?
Gang Chen, Srikanth Padmala, Yi Chen, Paul A. Taylor, Robert W. Cox, Luiz Pessoa
This paper introduces a Bayesian multilevel model framework to account for cross-trial variability in fMRI data, showing improved statistical sensitivity and accuracy compared to traditional methods.
NeuroImage · Oct 24, 2020Peer-reviewedNeuroscience