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A scalable and robust system for audience EEG recordings

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Michalareas,  Giorgos       
Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

Lehr,  Claudia
Scientific Services, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

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Tavano,  Alessandro       
Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

Grabenhorst,  Matthias
Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society;
Poeppel Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society;
Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Max Planck Society;

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Citation

Michalareas, G., Rudwan, I. M., Lehr, C., Gessini, P., Tavano, A., & Grabenhorst, M. (2023). A scalable and robust system for audience EEG recordings. Heliyon, 9(10): e20725. doi:10.1016/j.heliyon.2023.e20725.


Cite as: https://hdl.handle.net/21.11116/0000-000E-3AD9-D
Abstract
The neural mechanisms that unfold when humans form a large group defined by an overarching context, such as audiences in theater or sports, are largely unknown and unexplored. This is mainly due to the lack of availability of a scalable system that can record the brain activity from a significantly large portion of such an audience simultaneously. Although the technology for such a system has been readily available for a long time, the high cost as well as the large overhead in human resources and logistic planning have prohibited the development of such a system. However, during the recent years reduction in technology costs and size have led to the emergence of low-cost, consumer-oriented EEG systems, developed primarily for recreational use. Here by combining such a low-cost EEG system with other off-the-shelve hardware and tailor-made software, we develop in the lab and test in a cinema such a scalable EEG hyper-scanning system. The system has a robust and stable performance and achieves accurate unambiguous alignment of the recorded data of the different EEG headsets. These characteristics combined with small preparation time and low-cost make it an ideal candidate for recording large portions of audiences.