How to Improve the Reliability of Aperiodic Parameter Estimates in M/EEG: A Method Comparison
This study demonstrates that increasing the number of detected periodic peaks in the FOOOF toolbox reduces the reliability of broadband aperiodic parameter estimates in M/EEG data, and proposes a theory-driven "censored regression" method that removes expected periodic frequency ranges to produce more robust and reliable estimates.