Applying functional near-infrared spectroscopy (fNIRS) in educational research: a systematic review

Author:

Zhan ZehuiORCID,Yang Qinchen,Luo Lixia,Zhang Xia

Funder

National Natural Science Foundation in China

Ministry of Education in China Project of Humanities and Social Sciences

Major Project of Social Science in South China Normal University

the Degree and graduate education Reform research project in Guangdong

Publisher

Springer Science and Business Media LLC

Subject

General Psychology

Reference93 articles.

1. Antonenko, P. D., van Gog, T., & Paas, F. (2014). Implications of Neuroimaging for Educational Research. In Handbook of Research on Educational Communications and Technology: Fourth Edition (Issue January, pp. 51–63). Springer. https://doi.org/10.1007/978-1-4614-3185-5.

2. Artemenko, C., Coldea, A., Soltanlou, M., Dresler, T., Nuerk, H. C., & Ehlis, A. C. (2018a). The neural circuits of number and letter copying: An fNIRS study. Experimental Brain Research, 236(4), 1129–1138. https://doi.org/10.1007/s00221-018-5204-8

3. Artemenko, C., Soltanlou, M., Dresler, T., Ehlis, A. C., & Nuerk, H. C. (2018b). The neural correlates of arithmetic difficulty depend on mathematical ability: Evidence from combined fNIRS and ERP. Brain Structure and Function, 223(6), 2561–2574. https://doi.org/10.1007/s00429-018-1618-0

4. Artemenko, C., Soltanlou, M., Bieck, S. M., Ehlis, A. C., Dresler, T., & Nuerk, H. C. (2019). Individual differences in math ability determine neurocognitive processing of arithmetic complexity: A combined fNIRS-EEG study. Frontiers in Human Neuroscience, 13(July), 1–13. https://doi.org/10.3389/fnhum.2019.00227.

5. Asgher, U., Khan, M. J., Asif Nizami, M. H., Khalil, K., Ahmad, R., Ayaz, Y., & Naseer, N. (2021). Motor Training using Mental workload (MWL) with an Assistive Soft Exoskeleton System: A functional Near-Infrared spectroscopy (fNIRS) study for brain–machine interface (BMI). Frontiers in Neurorobotics, 15(March), 1–20. https://doi.org/10.3389/fnbot.2021.605751.

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