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  Decoding vigilance with NIRS

Bogler, C., Mehnert, J., Steinbrink, J., & Haynes, J.-D. (2014). Decoding vigilance with NIRS. PLoS One, 9(7): e101729. doi:10.1371/journal.pone.0101729.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0019-F63F-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-818A-F
Genre: Journal Article

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2014 Bogler et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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 Creators:
Bogler, Carsten1, 2, 3, 4, Author              
Mehnert, Jan5, 6, 7, Author              
Steinbrink, Jens6, 8, 9, Author
Haynes, John-Dylan1, 2, 3, 4, Author              
Affiliations:
1Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              
2Charité University Medicine Berlin, Germany, ou_persistent22              
3Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634553              
4Department of Neurology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
6Berlin Neuroimaging Center, Charité University Medicine Berlin, Germany, ou_persistent22              
7Department of Machine Learning, TU Berlin, Germany, ou_persistent22              
8Center for Stroke Research, Charité University Medicine Berlin, Germany, ou_persistent22              
9Bernstein Focus: Neurotechnology Berlin, Germany, ou_persistent22              

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 Abstract: Sustained, long-term cognitive workload is associated with variations and decrements in performance. Such fluctuations in vigilance can be a risk factor especially during dangerous attention demanding activities. Functional MRI studies have shown that attentional performance is correlated with BOLD-signals, especially in parietal and prefrontal cortical regions. An interesting question is whether these BOLD-signals could be measured in real-world scenarios, say to warn in a dangerous workplace whenever a subjects' vigilance is low. Because fMRI lacks the mobility needed for such applications, we tested whether the monitoring of vigilance might be possible using Near-Infrared Spectroscopy (NIRS). NIRS is a highly mobile technique that measures hemodynamics in the surface of the brain. We demonstrate that non-invasive NIRS signals correlate with vigilance. These signals carry enough information to decode subjects' reaction times at a single trial level.

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Language(s): eng - English
 Dates: 2014-02-032014-06-112014-07-17
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1371/journal.pone.0101729
PMID: 25032963
PMC: PMC4102486
Other: eCollection 2014
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Title: PLoS One
Source Genre: Journal
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Publ. Info: San Francisco, CA : Public Library of Science
Pages: - Volume / Issue: 9 (7) Sequence Number: e101729 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850