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

By Toshimitsu Takahashi, Yoriko Takikawa, Reiko Kawagoe, S. Shibuya, Takayuki Iwano, S. Kitazawa. NeuroImage, 2011

383 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/67b3ee563724e5b85e926d708f885d5a415586b7

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In Biomedical Engineering

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy (2012, methodology): “…on the occipital lobe (Boas et al., 2004; Minati et al., 2011) and in the motor area (Franceschini et al., 2006), there might be several reasons why the task-evoked haemodynamics in the forehead skin have stronger effects on fNIRS measurements (Tachtsidis et al., 2009; Takahashi et al., 2011).”
Application of functional near-infrared spectroscopy in psychiatry (2014, background): “…the reliability of fNIRS data has been shown to be affected by anatomical parameters, such as scalp-to-cortex distance (SCD; Cui et al., 2011; Haeussinger et al., 2011) and peripheral hemodynamic parameters (i.e., skin perfusion; Kirilina et al., 2012; Takahashi et al., 2011; Tong et al., 2011).”
The NIRS Brain AnalyzIR Toolbox (2018, background): “measurements are recorded from the scalp’s surface, fNIRS is also more sensitive to contamination from superficial physiology in the skin, which poses unique challenges for data analysis [5,6].”
A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task (2013, neutral): “A potential problem currently drawing attention is contamination of the measurement data due to extracranial hemodynamic changes such as skin blood flow (Germon et al., 1994, 1998; Kirilina et al., 2012; Kohno et al., 2007; Takahashi et al., 2011; Toronov et al., 2001).”
A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology (2014, background): “These BP changes affect hemodynamics in the extracerebral compartment, measured as stimulus/task-related changes in SBF and/or volume (SBV) (Kirilina et al., 2012; Takahashi et al., 2011), or even in the cerebral compartment itself (Minati et al., 2011).”
fNIRS-based brain-computer interfaces: a review (2015, methodology): “This method has been shown to work well, even though no significant classification-accuracy improvement over the heuristic methods has been demonstrated.”
Time domain functional NIRS imaging for human brain mapping (2014, neutral): “To improve depth selectivity, that is to reject superficial extracerebral contributions, is a major challenge in fNIRS in both adults and newborns (Aslin, 2013; Gagnon et al., 2012b; Kirilina et al., 2012; Takahashi et al., 2011).”