Laura B. Carlton

This paper maps feature-specific cortical responses to real-world sensory experiences using wearable fNIRS during walking and movie viewing, showing spatial correspondence between luminance and sound maps.

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 examines how physiological response functions (PRFs) vary across individuals and brain regions in fMRI data and shows that allowing spatial and subject-specific variability improves PRF model performance.

This study develops a multi-channel SCOS system to map human cerebral blood flow changes during brain activation, showing spatial heterogeneity and validating its accuracy with a phantom.

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.