Meryem A. Yücel

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 paper uses fNIRS hyperscanning to study interbrain synchrony during communication in healthy adults and those with post-stroke aphasia, showing task-dependent neural coupling.

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 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.

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

This paper provides an open-access fNIRS dataset for decoding audio-visual spatial attention during complex scene analysis, enabling machine learning algorithm development and comparison.

This paper introduces an optical neuroimaging method to objectively classify bimanual motor skill expertise, showing it outperforms current metrics in surgical certification.