The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Functional Magnetic Resonance Imaging and Functional Near-Infrared Spectroscopy: Insights from Combined Recording Studies
Open accessAbstract
Although blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) is a widely available, non-invasive technique that offers excellent spatial resolution, it remains limited by practical constraints imposed by the scanner environment. More recently, functional near infrared spectroscopy (fNIRS) has emerged as an alternative hemodynamic-based approach that possesses a number of strengths where fMRI is limited, most notably in portability and higher tolerance for motion. To date, fNIRS has shown promise in its ability to shed light on the functioning of the human brain in populations and contexts previously inaccessible to fMRI. Notable contributions include infant neuroimaging studies and studies examining full-body behaviors, such as exercise. However, much like fMRI, fNIRS has technical constraints that have limited its application to clinical settings, including a lower spatial resolution and limited depth of recording. Thus, by combining fMRI and fNIRS in such a way that the two methods complement each other, a multimodal imaging approach may allow for more complex research paradigms than is feasible with either technique alone. In light of these issues, the purpose of the current review is to: (1) provide an overview of fMRI and fNIRS and their associated strengths and limitations; (2) review existing combined fMRI-fNIRS recording studies; and (3) discuss how their combined use in future research practices may aid in advancing modern investigations of human brain function.
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Cites
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
Ferrari, M., & Quaresima, V. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.049 · Cited by 2,274
HomER: 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
A NIRS-fMRI investigation of prefrontal cortex activity during a working memory task
Sato, H., Yahata, N., Funane, T., Takizawa, R., Katura, T., Atsumori, H., Nishimura, Y., Kinoshita, A., Kiguchi, M., Koizumi, H., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.06.043 · Cited by 339
Cited by
Herold, F., Wiegel, P., Scholkmann, F., & Müller, N. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7120466 · Cited by 482
Gill, H., Puramat, P., Patel, P., Gill, B., Marks, C. A., Rodrigues, N. B., Castle, D., Cha, D. S., Mansur, R. B., Rosenblat, J. D., et al. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114577 · Cited by 16
Metadata
- Authors
- Scarapicchia, V., Brown, C., Mayo, C., & Gawryluk, J. R.
- Venue
- Frontiers in Human Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2017-08-18
- Volume
- 11
- Pages
- 419-419
- ISSN
- 1662-5161 (ISSN-L)
- OpenAlex
- W2742206045
- Cited by
- 253
- References
- 6
- FWCI
- 10.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- Scarapicchia, V., Brown, C., Mayo, C., & Gawryluk, J. R. (2017). Functional Magnetic Resonance Imaging and Functional Near-Infrared Spectroscopy: Insights from Combined Recording Studies. Frontiers in Human Neuroscience. https://doi.org/10.3389/fnhum.2017.00419
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