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Journal ArticleDOI

Influence of skin blood flow on near-infrared spectroscopy signals measured on the forehead during a verbal fluency task.

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TLDR
It is suggested that a major part of the task-related changes in the oxyHb concentration in the forehead is due to task- relatedChanges in the skin blood flow, which is under different autonomic control than heart rate.
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This article is published in NeuroImage.The article was published on 2011-08-01. It has received 362 citations till now. The article focuses on the topics: Laser Doppler velocimetry.

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A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

TL;DR: The aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI, and provides an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements.
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fNIRS-based brain-computer interfaces: a review

TL;DR: In this paper, the most common brain areas for fNIRS-based BCI are the primary motor cortex and prefrontal cortex, and the motor imagery tasks were preferred to motor execution tasks since possible proprioceptive feedback could be avoided.
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The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy

TL;DR: It is found that skin blood volume strongly depends on the cognitive state and that sources of task-evoked systemic signals in fNIRS are co-localized with veins draining the scalp, and it is concluded that the physiological origin of the systemic artefact is a task- Evoked sympathetic arterial vasoconstriction followed by a decrease in venous volume.
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Time domain functional NIRS imaging for human brain mapping

TL;DR: This review is aimed at presenting the state-of-the-art of time domain (TD) functional near-infrared spectroscopy (fNIRS) by introducing the physical principles, the basics of modeling and data analysis, and the technological developments that would pave the way for a broader use of TD fNirS in the neuroimaging community.
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A NIRS–fMRI investigation of prefrontal cortex activity during a working memory task

TL;DR: Supportive evidence is provided that NIRS can be used to measure hemodynamic signals originating from prefrontal cortex activation, and the results suggest that the NirS-Hb signal mainly reflects hemodynamic changes in the gray matter.
References
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Journal ArticleDOI

Estimation of optical pathlength through tissue from direct time of flight measurement

TL;DR: Monte Carlo modelling of light pulses in tissue has shown that the mean value of the time dispersed light pulse correlates with the pathlength used in quantitative spectroscopic calculations, and this result has been verified in a phantom material.
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Design and construction of a realistic digital brain phantom

TL;DR: The authors present a realistic, high-resolution, digital, volumetric phantom of the human brain, which can be used to simulate tomographic images of the head and is the ideal tool to test intermodality registration algorithms.
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Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units.

TL;DR: A parallel Monte Carlo algorithm accelerated by graphics processing units (GPU) for modeling time-resolved photon migration in arbitrary 3D turbid media renders the GPU-based Monte Carlo simulation a practical solution for data analysis in a wide range of diffuse optical imaging applications, such as human brain or small-animal imaging.
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Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model

TL;DR: It is suggested that, in activation studies with near-infrared spectroscopy, HbO(2) is the most sensitive indicator of changes in CBF, and the direction of change in deoxy-Hb is determined by the degree ofChanges in venous blood oxygenation and volume.
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Performance comparison of several published tissue near-infrared spectroscopy algorithms

TL;DR: Multiwavelength near-infrared attenuation spectra on human forearm muscle, the adult rat head, and newborn piglet head are collected to compare the changes in chromophore concentration derived from these data using published algorithms from four groups, finding differences between the results from the algorithms on each data set.
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