Statistical analysis
Raw fNIRS light intensities were pre-processed for signal quality. High-frequency noise and physiological artifacts (e.g., heart rate, respiration rate, cardiac cycle effects) were removed by using a low-pass filter with a finite impulse response filter and a cutoff frequency of 0.1 Hz [Linear mixed models with repeated measures were used to test for differences in brain activation during the Crave–Resist task between BE and control groups. Models were estimated in NCSS analysis software. A restricted maximum likelihood, and diagonal variance–covariance matrix were utilized. Performance across task conditions were nested within participant. Fixed factors were task condition and group (BE/control). Given that this was a pilot study, effect sizes, rather than p-values are used to interpret results. Partial eta-squared (