The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging
Open accessAbstract
Functional Near-Infrared Spectroscopy (fNIRS) maps human brain function by measuring and imaging local changes in hemoglobin concentrations in the brain that arise from the modulation of cerebral blood flow and oxygen metabolism by neural activity. Since its advent over 20 years ago, researchers have exploited and continuously advanced the ability of near infrared light to penetrate through the scalp and skull in order to non-invasively monitor changes in cerebral hemoglobin concentrations that reflect brain activity. We review recent advances in signal processing and hardware that significantly improve the capabilities of fNIRS by reducing the impact of confounding signals to improve statistical robustness of the brain signals and by enhancing the density, spatial coverage, and wearability of measuring devices respectively. We then summarize the application areas that are experiencing rapid growth as fNIRS begins to enable routine functional brain imaging.
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Citations
Cites
1 retracted
Brain–computer interface–based communication in the completely locked-in State
Chaudhary, U., Xia, B., Silvoni, S., Cohen, L. G., & Birbaumer, N. (2017) · PLOS Biology · doi:10.1371/journal.pbio.1002593 · Cited by 235
RetractedHomER: A review of time-series analysis methods for near-infrared spectroscopy of the brain
Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A. (2009) · Applied Optics · doi:10.1364/ao.48.00d280 · Cited by 1,817
Self-citationCui, X., Bryant, D. M., & Reiss, A. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.003 · Cited by 807
Tachtsidis, I., & Scholkmann, F. (2016) · Neurophotonics · doi:10.1117/1.nph.3.3.031405 · Cited by 607
Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks
Meng, J., Zhang, S., Bekyo, A., Olsoe, J., Baxter, B., & He, B. (2016) · Scientific Reports · doi:10.1038/srep38565 · Cited by 484
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
Khan, M. J., Hong, M. J., & Hong, K.-S. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00244 · Cited by 280
Cited by
Herold, F., Wiegel, P., Scholkmann, F., & Müller, N. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7120466 · Cited by 482
Pinti, P., Scholkmann, F., Hamilton, A., Burgess, P., & Tachtsidis, I. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00505 · Cited by 464
Metadata
- Authors
- Yücel, M. A., Selb, J. J., Huppert, T. J., Franceschini, M. A., & Boas, D. A.
- Venue
- Current Opinion in Biomedical Engineering
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 4
- Pages
- 78-86
- ISSN
- 2468-4511 (ISSN-L)
- OpenAlex
- W2761310417
- Cited by
- 222
- References
- 6
- FWCI
- 2.58
- Type
- journal article
- Language
- en
- Open access
- green
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- Yücel, M. A., Selb, J. J., Huppert, T. J., Franceschini, M. A., & Boas, D. A. (2017). Functional Near Infrared Spectroscopy: Enabling routine functional brain imaging. Current Opinion in Biomedical Engineering. https://doi.org/10.1016/j.cobme.2017.09.011
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