Optical Imaging and Spectroscopy Techniques

The paper develops and validates a method to simulate speckle contrast signals for optical blood flow measurements, revealing how detector effects impact accuracy and precision.

This paper demonstrates targeted ocular spectroscopy for imaging and spectral analysis of the eye fundus, showing its ability to detect biomarkers and assess blood oxygen saturation in vivo.

This study characterizes the optical and hemodynamic properties of the human sternocleidomastoid muscle using ultrasound-guided near-infrared spectroscopies and identifies significant variations based on demographic and anatomical factors.

The paper identifies flavinated SDHA as responsible for altered autofluorescence in oral cancer cells, linking it to metabolic changes and potential diagnostic and therapeutic targets.

This paper develops a fiber-based speckle contrast optical spectroscopy (SCOS) system for measuring cerebral blood flow and brain function with improved signal-to-noise ratio compared to traditional DCS.

This paper introduces a real-time method for quantitative perfusion measurement using multi-exposure speckle imaging in a mouse model of stroke.

The paper develops a fluorescence imaging system to distinguish cholesteatoma tissue from middle ear mucosa using autofluorescence properties during surgery.

This paper discusses the development of shortwave infrared fluorescence imaging for visualizing peripheral organs in awake, freely moving mice and proposes its applications in neuroscience.

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.

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.

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.

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.

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.

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.

This paper develops a non-invasive optical imaging method to map functional areas of the primate cortex across multiple modalities in awake marmosets.

This study shows that locomotion during awake imaging alters sensory-evoked haemodynamic responses in mice, emphasizing the need to monitor movement to avoid confounding results.

LIONirs is a MATLAB toolbox for fNIRS data analysis that provides flexibility and simplicity in processing and visualizing brain data with multimodal integration.

This study uses near infrared spectroscopy to measure prefrontal functional connectivity as a biomarker of cognitive reserve, finding a positive correlation with IQ but not motor skills.

This study characterizes Mayer wave oscillations in fNIRS signals using a physiologically informed model and evaluates the impact of short-channel correction on reducing these oscillations.

This study uses multi-exposure speckle imaging to show that isoflurane anesthesia causes rapid and sustained increases in cerebral vessel diameter and blood flow in mice.

The paper investigates how anatomical features of different brain regions affect the spatial localization of fiber photometry signals in mice.

This study investigates the origin of 1/f-like oxygenation fluctuations in the murine cortex and finds that they are driven by erythrocyte flow dynamics rather than neural activity.

The paper compares optode-layout design approaches for fNIRS using individual fMRI data, finding that incorporating more individual MRI data improves signal quality and sensitivity.

This paper presents a pipeline for fNIRS image reconstruction using MRI templates or individual anatomy, showing high temporal correlations and reliability with a longitudinal child dataset.

The paper examines age-related changes in scalp-to-cortex distances and mappings in infants, children, and adults using realistic head models and photon propagation simulations.

This study compares averaging and GLM-based analyses of fNIRS data from a block-design auditory paradigm, finding similar results but improved detection with systemic hemodynamic correction.

This paper introduces a method to measure absolute cerebral metabolic rate of oxygen in rat brains using optical imaging techniques and validates it against MR and PET measurements.

This paper introduces a high-sensitivity DCS system with 1024 parallel detection channels, enabling fast and sensitive measurement of blood flow and physiological variations.

This study uses fNIRS and PLS analysis to show how working memory load affects brain activity and performance, revealing task-specific relationships between hemodynamics and accuracy.

The paper introduces MAGICAL, an optical clearing method for in vivo fluorescence microscopy, enhancing imaging depth and resolution in living brains.