Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

Decoding vigilance with NIRS

MPG-Autoren
/persons/resource/persons19558

Bogler,  Carsten
Bernstein Center for Computational Neuroscience, Berlin, Germany;
Charité University Medicine Berlin, Germany;
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology, Otto von Guericke University Magdeburg, Germany;

/persons/resource/persons19850

Mehnert,  Jan
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Berlin Neuroimaging Center, Charité University Medicine Berlin, Germany;
Department of Machine Learning, TU Berlin, Germany;

/persons/resource/persons19699

Haynes,  John-Dylan
Bernstein Center for Computational Neuroscience, Berlin, Germany;
Charité University Medicine Berlin, Germany;
Max Planck Fellow Research Group Attention and Awareness, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department of Neurology, Otto von Guericke University Magdeburg, Germany;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)

Bogler_DecodingVigilance.pdf
(Verlagsversion), 2MB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

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.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0019-F63F-B
Zusammenfassung
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.