Robert Luke

This study characterizes Mayer wave oscillations in fNIRS signals using a physiologically informed model and evaluates the impact of short-channel correction on reducing these oscillations.

This study compares the predictive power of oxygenated and de-oxygenated hemoglobin signals in fNIRS data for experimental condition classification, finding oxygenated hemoglobin provides better differentiation.

This study compares averaging and GLM-based analyses of fNIRS data from a block-design auditory paradigm, finding similar results but improved detection with systemic hemodynamic correction.