Skip to Main content Skip to Navigation
Journal articles

Implementing EEG hyperscanning setups

Abstract : Hyperscanning refers to obtaining simultaneous neural recordings from more than one person (Montage et al., 2002 [1]), that can be used to study interactive situations. In particular, hyperscanning with Electroencephalography (EEG) is becoming increasingly popular since it allows researchers to explore the interactive brain with a high temporal resolution. Notably, there is a 40-year gap between the first instance that simultaneous measurement of EEG activity was mentioned in the literature (Duane and Behrendt, 1965 [2]), and the first actual description of an EEG hyperscanning setup being implemented (Babiloni et al., 2006 [3]). To date, specific EEG hyperscanning devices have not yet been developed and EEG hyperscanning setups are not usually described with sufficient detail to be easily reproduced. Here, we offer a step-by-step description of solutions to many of these technological challenges. Specifically, we describe and provide customized implementations of EEG hyperscanning setups using hardware and software from different companies: Brain Products, ANT, EGI, and BioSemi.
Document type :
Journal articles
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal-pasteur.archives-ouvertes.fr/pasteur-02066572
Contributor : Guillaume Dumas <>
Submitted on : Wednesday, March 13, 2019 - 3:06:15 PM
Last modification on : Friday, September 11, 2020 - 3:26:02 PM
Long-term archiving on: : Friday, June 14, 2019 - 4:53:22 PM

File

1-s2.0-S2215016119300329-main....
Publication funded by an institution

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Paulo Barraza, Guillaume Dumas, Huanhuan Liu, Gabriel Blanco-Gomez, Marion van den Heuvel, et al.. Implementing EEG hyperscanning setups. MethodsX, Elsevier, 2019, 6, pp.428-436. ⟨10.1016/j.mex.2019.02.021⟩. ⟨pasteur-02066572⟩

Share

Metrics

Record views

286

Files downloads

799