Interpersonal EEG Synchrony While Listening to a Story Recorded Using Consumer-Grade EEG Devices
Nattapong Thammasan (),
Anne-Marie Brouwer (),
Mannes Poel () and
Jan Erp ()
Additional contact information
Nattapong Thammasan: University of Twente
Anne-Marie Brouwer: TNO
Mannes Poel: University of Twente
Jan Erp: University of Twente
A chapter in Information Systems and Neuroscience, 2020, pp 253-259 from Springer
Abstract:
Abstract Interpersonal EEG synchrony derived from the hyperscanning technique has the potential to reveal brain mechanisms beyond the border of traditional analysis within an individual subject. However, the inter-brain connectivity has not been fully investigated using wearable consumer-grade EEG devices which can enable a variety of application in a real-world scenario. In this study, we investigate interpersonal synchrony by capturing EEG signals using wearable EEG devices, from multiple participants (N = 6, 7, 15) who simultaneously listened to a novel being read to them. The results show that similar power-spectral patterns from neural responses evoked by perceiving the same auditory stimuli exhibit the synchrony, which is likely to have a transient characteristic rather than being stationary.
Keywords: Inter-brain synchrony; Electroencephalogram; Hyperscanning (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-28144-1_28
Ordering information: This item can be ordered from
http://www.springer.com/9783030281441
DOI: 10.1007/978-3-030-28144-1_28
Access Statistics for this chapter
More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().