2020
DOI: 10.3389/fnins.2020.00724
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Functional Near-Infrared Spectroscopy and Its Clinical Application in the Field of Neuroscience: Advances and Future Directions

Abstract: Similar to functional magnetic resonance imaging (fMRI), functional near-infrared spectroscopy (fNIRS) detects the changes of hemoglobin species inside the brain, but via differences in optical absorption. Within the near-infrared spectrum, light can penetrate biological tissues and be absorbed by chromophores, such as oxyhemoglobin and deoxyhemoglobin. What makes fNIRS more advantageous is its portability and potential for long-term monitoring. This paper reviews the basic mechanisms of fNIRS and its current … Show more

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Cited by 177 publications
(171 citation statements)
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“…This method was able to remove high-frequency physiological noise (e.g., heart rate and respiratory rate) of the fNIRS signals. The effectiveness of this method has also been shown in the literature [ 61 , 62 , 63 ]. Furthermore, the FD-NIRS system enabled the measurements to be less sensitive to physiological noise coming from the extracerebral tissue compartment [ 64 ].…”
Section: Methodsmentioning
confidence: 94%
“…This method was able to remove high-frequency physiological noise (e.g., heart rate and respiratory rate) of the fNIRS signals. The effectiveness of this method has also been shown in the literature [ 61 , 62 , 63 ]. Furthermore, the FD-NIRS system enabled the measurements to be less sensitive to physiological noise coming from the extracerebral tissue compartment [ 64 ].…”
Section: Methodsmentioning
confidence: 94%
“…The first one is the ability to accurately recover the spatial extent of the underlying hemodynamic activity for both focal and extended generators. The second one is to provide robust reconstruction results when data SNR decreases, especially when considering the fact that it is challenging to maintain a good intra-subject consistence using continuous-wave fNIRS due to its relatively low SNR (Chen et al, 2020). Therefore, our main objective was to adapt the MEM framework for fNIRS reconstruction and carefully evaluate its performance.…”
Section: Introductionmentioning
confidence: 99%
“…1 B, and the signals were acquired from a total of 68 predefined channels with a source-detector distance of 3 cm (Fig. 1 ), which allows near-infrared light to penetrate deep enough to measure HbO 2 and HbR in the cerebral cortex; approximately 15—20 mm deep from the scalp 9 , 15 , 36 38 .
Figure 1 Data acquisition setup using continuous-wave near-infrared spectroscopy and analyzed channels for waveform analysis of oxyhemoglobin.
…”
Section: Methodsmentioning
confidence: 99%