Optical Imaging and Spectroscopy Techniques

Predicting whole-brain neural dynamics from prefrontal cortex fNIRS signal during movie-watching

The paper introduces a model that predicts whole-brain fMRI activity from prefrontal fNIRS signals during movie-watching, showing significant prediction in 66 out of 122 brain regions.

Deep Ensemble Model for Quantitative Optical Property and Chromophore Concentration Images of Biological Tissues

This paper develops a deep ensemble model to rapidly and accurately map tissue optical properties and chromophore concentrations using a single image, outperforming existing methods in speed and accuracy.

Time-Domain Diffuse Optical Tomography for Precision Neuroscience

This paper presents a whole-head time-domain diffuse optical tomography (TD-DOT) system, characterizes its performance, and demonstrates its ability to retrieve cortical activation maps during various tasks.

An Augmented Reality Visor for Intraoperative Visualization, Guidance and Temperature Monitoring using Fluorescence

The paper introduces an augmented reality visor that integrates fluorescence visualization, excitation monitoring, and temperature control to enhance surgical precision and safety.

Transcranial cortex-wide imaging of murine ischemic perfusion with large-field multifocal illumination fluorescence microscopy

This paper develops a new imaging technique to study brain perfusion in mice during ischemic stroke, showing its ability to map vascular changes and assess therapeutic effects.

Robustness of time domain near infrared spectroscopy to variations in skin pigmentation

This study evaluates the robustness of time domain near infrared spectroscopy to variations in skin pigmentation using tissue phantoms and pediatric volunteers, finding negligible effects on results.

Automated non-invasive laser speckle imaging of the chick heart rate and extraembryonic blood vessels and their response to nifedipine and amlodipine drugs

This paper uses laser speckle imaging to monitor chick embryo heart rate and blood flow in response to nifedipine and amlodipine, showing drug-specific effects on cardiovascular parameters.

Inclusivity in fNIRS Studies: Quantifying the Impact of Hair and Skin Characteristics on Signal Quality with Practical Recommendations for Improvement

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

Optical imaging of treatment-naive human NSCLC reveals changes associated with metastatic recurrence

This study uses optical imaging to identify metabolic markers in treatment-naive NSCLC that predict metastatic recurrence, finding that higher optical redox ratios correlate with poor prognosis.

Neurovascular Impulse Response Function (IRF) during spontaneous activity differentially reflects intrinsic neuromodulation across cortical regions

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

Riemannian Geometry for the Classification of Brain States with fNIRS

This paper introduces a Riemannian geometry-based classification method for fNIRS data, achieving higher accuracy in brain-state classification compared to traditional methods.

Reliability of brain metrics derived from a Time-Domain Functional Near-Infrared Spectroscopy System

This study evaluates the test-retest reliability of brain metrics from a TD-fNIRS system across different tasks and headsets, finding high reliability in resting state and task-related features.

Ecological fNIRS in mobile children: Using short separation channels to correct for systemic contamination during naturalistic neuroimaging.

This study investigates the impact of systemic contamination on fNIRS signals in young children and evaluates the effectiveness of superficial signal regression in improving functional brain activity localization during naturalistic tasks.

ninjaCap: A fully customizable and 3D printable headgear for fNIRS and EEG brain imaging

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

fNIRS Dataset During Complex Scene Analysis

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.

Assessing the Validity and Reliability of HD-DOT TD-fNIRS Resting-State Measurements in Rapid Succession Data Collection Settings

This study evaluates the validity and reliability of HD-DOT TD-fNIRS in rapid succession data collection, finding consistent performance with less spatial detail than fMRI.

Towards Ecological Measurement of Complex Cognitive Processes: Functional-Near Infrared Spectroscopy of Brain Activity During Reading

The paper uses fNIRS to validate fMRI findings on reading-related brain activity in a large sample, showing reliable prefrontal and temporal activations.

Reduction of low-frequency oscillations in cerebral circulation correlates with pupil dilation during cognition: an fNIRS study

This study examines the relationship between low-frequency oscillations in cerebral circulation and pupil dilation during arithmetic tasks using fNIRS, finding a temporary reduction in LFO amplitude with increased pupil diameter.

A high-density diffuse optical tomography dataset of naturalistic viewing

The paper presents a high-density diffuse optical tomography dataset from participants viewing a movie, suitable for studying cognitive phenomena.

Anatomical Modeling and Optimization of Speckle Contrast Optical Tomography

This paper develops anatomical modeling methods for speckle contrast optical tomography (SCOT) to improve image resolution and SNR by optimizing exposure time and SD-distances.

Improved short-channel regression for mapping resting-state functional connectivity networks using functional near-infrared spectroscopy

This paper improves short-channel regression for mapping resting-state functional connectivity networks using fNIRS by accounting for temporal heterogeneity in scalp hemodynamics, increasing agreement with physiological recordings by 70% on average.

Demographic Reporting and Phenotypic Exclusion in fNIRS

This study examines demographic and phenotypic reporting in fNIRS literature, finding low reporting and potential exclusion of individuals with darker skin tones and curlier hair.

Attrition Rate in Infant fNIRS Research: A Meta-Analysis

This paper conducts a meta-analysis of infant fNIRS research to identify attrition rate trends and predictors, finding an average attrition rate of 34.23% and recommending strategies to reduce it.

Distinct 'pattern of autofluorescence' of acute ischemic stroke patients' skin and fingernails: A novel diagnostic biomarker for acute ischemic stroke

This study identifies a novel diagnostic biomarker for acute ischemic stroke using green autofluorescence patterns in skin and fingernails, showing high accuracy in differentiating AIS patients from healthy and non-AIS groups.

Performance comparison of systemic activity correction in fNIRS for methods with and without short distance channels

This paper compares SA correction methods with and without short-distance channels in fNIRS, finding that methods with SDCs generally perform better but methods without SDCs can still improve signal quality.

Scale Invariance in fNIRS as a Measurement of Cognitive Load

This study tests if scale invariance measured by the Hurst exponent can quantify cognitive load using fNIRS during a working memory task, showing higher H during easier tasks.

Near infrared spectroscopy detection of hemispheric cerebral ischemia following middle cerebral artery occlusion in rats

This study uses near infrared spectroscopy (NIRS) to monitor cerebral ischemia in rats after middle cerebral artery occlusion, finding a significant negative correlation between NIRS-derived parameters and infarct volume.

Nonlinear Neural Patterns Are Revealed In High Frequency fNIRS Analysis

This study shows that nonlinear analysis of high-frequency fNIRS data reveals distinct neurovascular representations compared to linear analysis, highlighting the importance of considering nonlinear effects in hemodynamic responses.

Non-invasive visualization of amyloid-beta deposits in Alzheimer amyloidosis mice using magnetic resonance imaging and fluorescence molecular tomography

This paper demonstrates a 3D visualization method for amyloid-beta deposits in Alzheimer's mouse models using MRI and FMT, showing improved depth resolution compared to 2D methods.

Parallel Factor Analysis for multidimensional decomposition of fNIRS data

This paper introduces PARAFAC for fNIRS artifact correction, showing it improves data quality more than traditional methods.