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  Decoding subjective emotional arousal from EEG during an immersive virtual reality experience

Hofmann, S., Klotzsche, F., Mariola, A., Nikulin, V. V., Villringer, A., & Gaebler, M. (2021). Decoding subjective emotional arousal from EEG during an immersive virtual reality experience. eLife, 10: e64812. doi:10.7554/eLife.64812.

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Hofmann_Klotzsche_2021.pdf (Publisher version), 5MB
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 Creators:
Hofmann, Simon1, Author              
Klotzsche, Felix1, 2, Author              
Mariola, Alberto3, 4, Author
Nikulin, Vadim V.1, 5, Author              
Villringer, Arno1, 2, Author              
Gaebler, Michael1, 2, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
3Sackler Centre for Consciousness Science, University of Sussex, Brighton, United Kingdom, ou_persistent22              
4Sussex Neuroscience, University of Sussex, Brighton, United Kingdom, ou_persistent22              
5Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              

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Free keywords: Human; Neuroscience
 Abstract: Immersive virtual reality (VR) enables naturalistic neuroscientific studies while maintaining experimental control, but dynamic and interactive stimuli pose methodological challenges. We here probed the link between emotional arousal, a fundamental property of affective experience, and parieto-occipital alpha power under naturalistic stimulation: 37 young healthy adults completed an immersive VR experience, which included rollercoaster rides, while their EEG was recorded. They then continuously rated their subjective emotional arousal while viewing a replay of their experience. The association between emotional arousal and parieto-occipital alpha power was tested and confirmed by (1) decomposing the continuous EEG signal while maximizing the comodulation between alpha power and arousal ratings and by (2) decoding periods of high and low arousal with discriminative common spatial patterns and a Long Short-Term Memory recurrent neural network. We successfully combine EEG and a naturalistic immersive VR experience to extend previous findings on the neurophysiology of emotional arousal towards real-world neuroscience.

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Language(s): eng - English
 Dates: 2020-11-112021-10-272021-10-28
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7554/eLife.64812
PMID: 34708689
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Project name : -
Grant ID : 13GW0206
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Funding organization : Bundesministerium für Bildung und Forschung (BMBF)

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 10 Sequence Number: e64812 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X