Functional near infrared spectroscopy (NIRS) signal improvement based on negative correlation between oxygenated and deoxygenated hemoglobin dynamics
Xu Cui,Signe Bray,Allan L. Reiss +2 more
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TLDR
A method to reduce noise based on the principle that the concentration changes of oxygenated and deoxygenated hemoglobin should be negatively correlated is developed, and it is shown that despite its simplicity, this method is effective in reducing noise and improving signal quality, for both online and offline noise reduction.About:
This article is published in NeuroImage.The article was published on 2010-02-15 and is currently open access. It has received 582 citations till now. The article focuses on the topics: Functional near-infrared spectroscopy & Noise (signal processing).read more
Citations
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Brain Computer Interfaces, a Review
TL;DR: The state-of-the-art of BCIs are reviewed, looking at the different steps that form a standard BCI: signal acquisition, preprocessing or signal enhancement, feature extraction, classification and the control interface.
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A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.
Felix Scholkmann,Stefan Kleiser,Andreas Jaakko Metz,Raphael Zimmermann,Raphael Zimmermann,Juan Mata Pavia,Ursula Wolf,Martin Wolf +7 more
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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A quantitative comparison of NIRS and fMRI across multiple cognitive tasks.
TL;DR: NIRS can be an appropriate substitute for fMRI for studying brain activity related to cognitive tasks, but care should be taken to ensure that the spatial resolution is adequate for answering the question of interest and the design accounts for weaker SNR, especially in brain regions more distal from the scalp.
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fNIRS-based brain-computer interfaces: a review
Noman Naseer,Keum-Shik Hong +1 more
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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How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation
Felix Scholkmann,S Spichtig,S Spichtig,Thomas Muehlemann,Thomas Muehlemann,Martin Wolf,Martin Wolf +6 more
TL;DR: A method based on moving standard deviation and spline interpolation enables the semi-automatic detection and reduction of MAs in the data and can be used in the postprocessing of NIRI signals but also for other kinds of data containing artifacts, for example ECG or EEG signals.
References
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Dynamics of blood flow and oxygenation changes during brain activation: the balloon model.
TL;DR: Calculations based on the model show pronounced transients in the deoxyhemoglobin content and the blood oxygenation level dependent (BOLD) signal measured with functional MRI, including initial dips and overshoots and a prolonged post‐stimulus undershoot of the BOLD signal.
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Non-invasive optical spectroscopy and imaging of human brain function
Arno Villringer,Britton Chance +1 more
TL;DR: First near-infrared imaging devices are being applied successfully for low-resolution functional brain imaging andvantages of the optical methods include biochemical specificity, a temporal resolution in the millisecond range, the potential of measuring intracellular and intravascular events simultaneously and the portability of the devices enabling bedside examinations.
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HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.
TL;DR: The practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data are described within the context of the MATLAB-based graphical user interface program, HomER, which is developed and distributed to facilitate the processing of optical functional brain data.
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Modeling the hemodynamic response to brain activation.
TL;DR: Quantitative modeling of the hemodynamic response, when combined with experimental data measuring both the BOLD and CBF responses, makes possible a more specific and quantitative assessment of brain physiology than is possible with standard BOLD imaging alone.
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Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy : Implications for functional brain mapping
Dov Malonek,Amiram Grinvald +1 more
TL;DR: In this study, activity-dependent changes in oxyhemoglobin, deoxyhemoglobin and light scattering were characterized by an imaging spectroscopy approach that offers high spatial, temporal, and spectral resolution.