De’Ja Rogers

This study evaluates the Temple Brain Flow Index from a wearable device against depth-resolved NIRS data during postural changes, showing stronger correlation with brain-layer hemodynamics than scalp-layer.

This study decodes spatial attention in the cocktail party problem using fNIRS, showing that specific brain regions can accurately determine attended locations from single-trial data.

This study compares high-density and sparse fNIRS arrays in detecting brain activity during a Word-Color Stroop task, finding HD arrays provide better localization and sensitivity in image space.

This paper quantifies how hair and skin characteristics affect fNIRS signal quality and provides recommendations to improve inclusivity in fNIRS studies.

The paper introduces ninjaCap, a 3D printable headgear system for fNIRS and EEG that improves sensor placement accuracy and reduces manual labor.