David A. Boas

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 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 shows that visual gamma stimulation increases low-frequency blood flow oscillations in multiple cortical regions of mice, with effects lasting beyond 24 hours.

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 investigates slow speckle dynamics (SSD) in vivo to assess cellular metabolic activity using laser speckle contrast imaging, finding SSD correlates with metabolic processes and vascular dynamics.

This paper develops a biophysical model to simulate fMRI responses in mice and humans, revealing species-specific hemodynamic differences and conserved vascular asymmetries.

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 study shows carbonic anhydrase inhibitors prevent capillary flow issues in a mouse model of early Alzheimer's disease before symptoms appear.

This study uses OCT to track changes in stroke lesions after cell grafting, finding that lesion contraction and graft survival are influenced by lesion size and severity.

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

The paper shows that hemodynamic responses in the cortex are influenced by neuromodulators like norepinephrine, with distinct impulse response functions for different neuromodulatory signals.

This paper develops a high-speed Speckle Contrast Optical Spectroscopy (SCOS) system for cuffless blood pressure estimation, showing a 31% improvement over photoplethysmography (PPG) in systolic BP estimation with low error.

The paper describes a widefield in vivo imaging system for mesoscopic brain imaging, capable of capturing fluorescent and reflectance signals, and demonstrates its use in awake mice.

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 a micro-fiber array system for measuring and manipulating neural dynamics in large brain volumes during behavior, revealing spatiotemporal patterns of dopamine release and enabling precise optogenetic control.

This paper introduces a multi-scale imaging technique combining PSOCT and 2PM to enable label-free, high-resolution analysis of human brain structure and pathology.

This study develops a Bessel beam two-photon microscope to detect capillary stalling events in stroke models, showing increased stalling beyond the acute phase.

This paper quantifies myelin content and neuron density in the human brain using OCT, finding a strong linear relationship between scattering coefficient and myelin content.

The paper develops an imaging pipeline to create a cell census of the human cerebral cortex using MRI, immunohistochemistry, and light-sheet fluorescence microscopy.

The paper measures oxygen consumption across cortical layers in awake mice and finds a decrease in baseline CMRO2 from layer I to IV, accompanied by increased tissue oxygenation.

The paper presents a method combining immunostaining, SWITCH/TDE clearing, and confocal microscopy to map neurons in human cerebral cortex slices, addressing challenges in labeling and clearing.

This paper develops a deep learning method for segmenting brain vasculature from two-photon microscopy images, achieving faster computation and better generalization across imaging systems.

This paper introduces an algorithm to optimize generalized gamma distributed multiplicative noise in OCT images, improving speckle removal and contrast-to-noise ratio.

This study shows that subarachnoid hemorrhage in mice causes early and lasting changes in functional connectivity and cognitive performance.

This study shows that mild traumatic brain injury rapidly disrupts cortical microcirculation, causing severe reductions in cerebral blood flow and vascular dysfunction.

The paper identifies dynamic capillary flow stalls in mice after stroke reperfusion, mediated by neutrophils, which impair circulation and contribute to penumbral injury.

The paper measures capillary flow and oxygenation in cortical layers of awake mice, finding homogenization of oxygen delivery and increased extraction in layer IV.