Principles, techniques, and limitations of near infrared spectroscopy.

By Marco Ferrari, L. Mottola, Valentina Quaresima. Canadian Journal of Applied Physiology, 2004

1,055 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Complementary and alternative medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/bd62a0617aa90919c1ddae952300dc20d128d7da

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Citations in the corpus

fNIRS-based brain-computer interfaces: a review (2015, background): “…et al., 2008; Sardouie and Shamsollahi, 2012), functional magnetic resonance imaging (fMRI) (Weiskopf et al., 2004; LaConte, 2011; van der Heiden et al., 2014), and fNIRS (Ferrari et al., 1985, 2004; Kato et al., 1993; Hu et al., 2013; Bhutta et al., 2014; Rea et al., 2014; Santosa et al., 2014).”
A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology (2014, background): “…source, couple the emitted light into the scalp, and measure the diffuse reflectance that re-emerges from the tissue a few centimeters distant from that source (Ferrari and Quaresima, 2012; Ferrari et al., 2004; Giacometti and Diamond, 2013; Hoshi, 2003; Strangman et al., 2002;Wolf et al., 2007).”
Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation. (2017, background): “fNIRS applies light in the near-infrared range (600-1,000 nm) through the skull to detect changes in oxyhemoglobin and deoxyhemoglobin concentrations in the brain blood flow (252, 388).”
Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. (2007, background): “It can be minimized using large separations and a correction for an extracranial sample volume or both.(9)”
Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, background): “Over the last decade, there has been some controversy over which chromophore change (HbO2 or HHb) best correlates with the BOLD signal (for review see Obrig and Villringer, 2003; Ferrari et al., 2004).”
How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation (2010, background): “…© 2010 Institute of Physics and Engineering in Medicine Printed in the UK 649 applications in medicine and neuroscience expanded (Boushel et al 2001, Ferrari et al 2004, Wolf et al 2007, Hoshi 2007, Hamaoka et al 2007, Muehlemann et al 2008, Gibson and Dehghani 2009).”
A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application (2012, methodology): “Different NIRS instruments with related key features, advantages and disadvantages, and parameters measurable by using different NIRS techniques have been reviewed in detail elsewhere (Ferrari et al., 2004; Wolf et al., 2007) and summarized in Table 2.”
Statistical analysis of fNIRS data: A comprehensive review (2014, positive): “However, fNIRS lacks anatomical information, making it difficult to localize the brain area where the fNIRS signal originated (Ferrari et al., 2004; Kleinschmidt et al., 1996; Lloyd-Fox et al., 2010; Villringer et al., 1993).”
The modified Beer–Lambert law revisited (2006, methodology): “…and scattering can be measured separately by e.g. time-resolved spectroscopy or intensity-modulated spectroscopy (Obrig and Villringer 2003, Ferrari et al 2004), it is possible to estimate the cross-talk of scattering changes for experimental and clinical cases when cwNIRS is widely…”