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CORRECTION article

Front. Hum. Neurosci. , 01 February 2021

Sec. Brain-Computer Interfaces

Volume 15 - 2021 | https://doi.org/10.3389/fnhum.2021.645869

Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions

This article is a correction to:

  1. Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions

    1. Read original article
\nSangtae Ahn,Sangtae Ahn1,2Sung C. Jun Sung C. Jun3*
  • 1School of Electronic and Electrical Engineering, Kyungpook National University, Daegu, South Korea
  • 2School of Electronics Engineering, Kyungpook National University, Daegu, South Korea
  • 3School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea

A Corrigendum on
Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions

by Ahn, S., and Jun, S. C. (2017). Front. Hum. Neurosci. 11:503. doi: 10.3389/fnhum.2017.00503

In the original article, there was an error. Sentences include misinformation.

A correction has been made to **CURRENT LIMITATIONS AND FUTURE DIRECTIONS**, **Sensor Configuration of Two Different Devices **, **First Paragraph **

ORIGINAL SENTENCES

“However, because light leakage from an fNIRS system can contaminate EEG signals, it is necessary to block this leakage when combining the two devices. One study (Koo et al., 2015) designed a blocking frame made of black acrylic plastic with a compression rubber pad. They blocked the light that leaked from emitters successfully and obtained unaffected EEG signals.”

CORRECTED AS FOLLOWS

“One study (Koo et al., 2015) designed a blocking frame made of black acrylic plastic with a compression rubber pad and obtained fNIRS and EEG data simultaneously”

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

References

Koo, B., Lee, H.-G., Nam, Y., Kang, H., Koh, C. S., Shin, H.-C., et al. (2015). A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery. J. Neurosci. Methods 244, 26–32. doi: 10.1016/j.jneumeth.2014.04.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: multi-modal integration, electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), brain-computer interface (BCI)

Citation: Ahn S and Jun SC (2021) Corrigendum: Multi-Modal Integration of EEG-fNIRS for Brain-Computer Interfaces – Current Limitations and Future Directions. Front. Hum. Neurosci. 15:645869. doi: 10.3389/fnhum.2021.645869

Received: 24 December 2020; Accepted: 13 January 2021;
Published: 01 February 2021.

Edited and reviewed by: Stephane Perrey, Université de Montpellier, France

Copyright © 2021 Ahn and Jun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sung C. Jun, c2NqdW5AZ2lzdC5hYy5rcg==

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