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

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TLDR
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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This article is published in NeuroImage.The article was published on 2014-01-15 and is currently open access. It has received 1333 citations till now. The article focuses on the topics: Instrumentation (computer programming).

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The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience

TL;DR: This review aims to provide a comprehensive and state‐of‐the‐art review of fNIRS basics, technical developments, and applications, with a particular focus on neuroimaging in naturalistic environments and social cognitive neuroscience.
Journal ArticleDOI

Twenty years of functional near-infrared spectroscopy: introduction for the special issue.

TL;DR: This special issue commemorates the first 20years of fNIRS research with 9 reviews and 49 contributed papers providing a comprehensive survey of the exciting advances driving the field forward and of the myriad of applications that will benefit from fN IRS.
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False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward

TL;DR: The possible physiological origins of fNIRS hemodynamic responses that are not due to neurovascular coupling are summarized and ways to avoid and remove them are suggested.
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Graph analysis of functional brain networks: practical issues in translational neuroscience

TL;DR: In this paper, a review of the use of graph analysis in translational neuroscience has been presented, which provides practical indications to make sense of brain network analysis and contrast counterproductive attitudes.
References
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Statistical parametric maps in functional imaging: A general linear approach

TL;DR: In this paper, the authors present a general approach that accommodates most forms of experimental layout and ensuing analysis (designed experiments with fixed effects for factors, covariates and interaction of factors).
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Principles of Computerized Tomographic Imaging

TL;DR: Properties of Computerized Tomographic Imaging provides a tutorial overview of topics in tomographic imaging covering mathematical principles and theory and how to apply the theory to problems in medical imaging and other fields.
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Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters

TL;DR: Observations by infrared transillumination in the exposed heart and in the brain in cephalo without surgical intervention show that oxygen sufficiency for cytochrome a,a3, function, changes in tissue blood volume, and the average hemoglobin-oxyhemoglobin equilibrium can be recorded effectively and in continuous fashion for research and clinical purposes.
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Time resolved reflectance and transmittance for the non-invasive measurement of tissue optical properties.

TL;DR: A simple model is developed, based on the diffusion approximation to radiative transfer theory, which yields analytic expressions for the pulse shape in terms of the interaction coefficients of a homogeneous slab.
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Frequently Asked Questions (20)
Q1. What are the contributions mentioned in the paper "A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology" ?

As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose the authors provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. 

Consequently, in the future, imaging instrumentationwill be increasingly sophisticated and fNIRI imaging of the brain will provide an increasing spatial and temporal resolution. The future will provide fNIRI instrumentation, which will yield orders of magnitude more information than today. The further development of this approach will be an important topic of research. In the future the scope of applications of fNIRIwill continuously grow, and probably at increasing speed. 

Numerical methods based on the local solution of the diffusion equation in a meshed space (Arridge et al., 1993; Dehghani et al., 2009a) such as finite elements method (FEM) have been among the most popular methods to define the forward model due to their inherent flexibility to model irregular spaces and the ability to include prior information from other tomographic sources. 

Since changes in light coupling often occur during movements, the advantage of this approach compared to MBLL and SRS is that the coupling factors cancel out and thus the influence of movement artifacts is much reduced. 

Due to the dependency of the internal gain on temperature and bias voltage, APDs require stabilized power supplies and are often cooled (Liu, 2005). 

Shot noise is based on the quantum nature of the photons that enter the detector as well as the generated carriers, i.e. due to their stochastic non-uniform temporal distribution (Liu, 2005). 

In devices with internal signal amplification, the excess shot noise describes the fluctuations that are due to the randommultiplication effects inside the detector (Liu, 2005). 

changes in the contact pressure between optodes and the scalp lead to changes in light coupling and thus may introduce artifacts (Gibson et al., 2005; Wahr et al., 1996). 

For miniaturized and/or wearable fNIRI instruments, the three factors size, weight and the power consumption play an important role in the selection of a particular light source. 

If the authors define one channel as one path between one emitter including all its wavelengths and one detector, then the maximum (theoretical) number of channels for a 16 emitter and 32 detector system will be 16 ∗ 32 = 512 channels. 

They favored the arrangement of sources/detectors in a hexagonal geometry, because it has lower requirements for the dynamic range compared to a rectangular geometry. 

Laser diodes (LDs) and light emitting diodes (LEDs) are the most widely used types of light sources that are employed in fNIRI instruments (see Table 1). 

The strengths of fNIRI compared to other non-invasive neuroimaging techniques such as EEG, fMRI or MEG include its portability, potential wearability, ease of application, and the low purchase and operation costs (especially when compared to fMRI and MEG), the spatially localized nature of fNIRI in contrast to EEG and the more complete information (O2Hb in addition to HHb) compared to fMRI and its compatibility with other neuroscience techniques. 

the multi-spectral approach is associated with two drawbacks, i.e. increased computational complexity and the need for reduced incident light power (compared to a normal fNIRI device) since light with a multi-spectrum has a higher total power than light with a restricted wavelength range. 

Combining neuroimaging modalities has the advantage of delivering more comprehensive information, e.g. how electrophysiological and hemodynamic/metabolic signals are correlated. 

Due to their practical advantages compared to PMTs, which the authors recently also started to discover with own experiments (Zimmermann et al., 2013a), the authors expect further developments employing SiPMs in the field of NIRI instrumentation. 

Besides these filtering approaches, probably still the most widely used method to remove the components SC4–6, is ‘conventional averaging’ (CA), an average of segments of the fNIRI signal that are time-locked to the presented stimuli. 

Okui and Okada (2005) demonstrated in aMonte Carlo simulation byminimizing the crosstalk between [O2Hb] and [HHb], that the optimal wavelength range for pairing with 830 nm for the dual-wavelength setup is between 690 nm and 750 nm. 

Shot noise is unavoidable; however, it can be minimized by carefully shielding the detector from background radiation (opaque cover and/or NIR bandpass filters). 

in combination with imaging in 3D, these methods will become much more powerful and a correct separation of the signal components will lead to more reliable data and thus tremendously facilitate the interpretation of the fNIRI signals.