Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy.

By Sarah Lloyd-Fox, Anna Blasi, Clare E. Elwell. Neuroscience and Biobehavioral Reviews, 2010

812 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5a71f99a54c865698d99c0e7fae4d7912a6a1033

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Assessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies (2011, background): “Whilst review articles pertaining to the developments of fNIRS/DOI technology and applications have been published previously (Gibson et al., 2005; Hoshi, 2007; Lloyd-Fox et al., 2010; Strangman et al., 2002a), they have focused on technical advances and aspects of biomedical optics that inform syst”
Twenty years of functional near-infrared spectroscopy: introduction for the special issue (2014, background): “velopment in infants and children (Benavides-Varela et al., 2011; Cristià et al., 2013; Lloyd-Fox et al., 2010; Quaresima et al., 2012), psychiatric”
Brain‐to‐brain synchrony in parent‐child dyads and the relationship with emotion regulation revealed by fNIRS‐based hyperscanning (2018, positive): “…local hemodynamic effect with a high temporal resolution in more naturalistic environments than functional magnetic resonance imaging (fMRI) and is less susceptible to motion artifacts than electroencephalography (EEG), making it well-suited for studying young children (Lloyd-Fox et al., 2010).”
The present and future use of functional Near Infrared Spectroscopy (fNIRS) for cognitive neuroscience (2018, methodology): “In particular, we highlight the developments of (1) DOT fNIRS instruments that can achieve imaging of cortical tissue with spatial resolution similar to fMRI.”
Statistical analysis of fNIRS data: A comprehensive review (2014, neutral): “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).”
A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application (2012, neutral): “The basic principles of fNIRS including features, strengths, advantages, and limitations have been recently summarized in several review articles (Elwell and Cooper, 2011; Gervain et al., 2011; Lloyd-Fox et al., 2009; Minagawa-Kawai et al., 2008; Quaresima et al., 2012).”
The NIRS Brain AnalyzIR Toolbox (2018, background): “In addition, fNIRS studies have been expanded to child and infant populations (reviewed in [7]), to allow a range of motion (including fNIRS studies of brain activity during gait or balance [11]), and more “real-world” experience (reviewed in [12]).”
A Systematic Comparison of Motion Artifact Correction Techniques for Functional Near-Infrared Spectroscopy (2012, methodology): “…technique that uses measures of the intensity of diffusely scattered near-infrared light to calculate changes in oxyhemoglobin concentration (HbO) and deoxy-hemoglobin concentration (HbR) in cortical tissues (Obrig et al., 2000; Obrig and Villringer, 2003; Lloyd-Fox et al., 2010).”
Motion artifacts in functional near-infrared spectroscopy: A comparison of motion correction techniques applied to real cognitive data (2014, background): “fNIRS is becoming more and more common in the study of infants (Lloyd-Fox et al., 2010; Taga et al., 2011; Wilcox et al., 2010), cognition (Cutini et al.”
Rhythmic visual stimulation as a window into early brain development: A systematic review (2023, background): “This period is of high interest for research on cognitive and social development and children in this age range are notoriously difficult to study with conventional EEG/ERP paradigms (e.g., Hoehl and Wahl, 2012) or MRI (Ellis et al., 2020; Lloyd-Fox et al., 2010), and therefore the benefits of apply”