Noise characteristics in spaceflight multichannel EEG

PLoS One. 2023 Feb 17;18(2):e0280822. doi: 10.1371/journal.pone.0280822. eCollection 2023.

Abstract

The cognitive performance of the crew has a major impact on mission safety and success in space flight. Monitoring of cognitive performance during long-duration space flight therefore is of paramount importance and can be performed using compact state-of-the-art mobile EEG. However, signal quality of EEG may be compromised due to the vicinity to various electronic devices and constant movements. We compare noise characteristics between in-flight extraterrestrial microgravity and ground-level terrestrial electroencephalography (EEG) recordings. EEG data recordings from either aboard International Space Station (ISS) or on earth's surface, utilizing three EEG amplifiers and two electrode types, were compared. In-flight recordings showed noise level of an order of magnitude lower when compared to pre- and post-flight ground-level recordings with the same EEG system. Noise levels between ground-level recordings with actively shielded cables, and in-flight recordings without shielded cables, were similar. Furthermore, noise level characteristics of shielded ground-level EEG recordings, using wet and dry electrodes, and in-flight EEG recordings were similar. Actively shielded mobile dry EEG systems will support neuroscientific research and neurocognitive monitoring during spaceflight, especially during long-duration space missions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electrodes
  • Electroencephalography
  • Space Flight*
  • Weightlessness*

Grants and funding

This work was supported in part by the German Federal Ministry of Education and Research (BMBF) grant TeleBrain (01DS19009A, JH), the Free State of Thuringia within the ThiMEDOP project (2018 IZN 0004, JH and PF) with funds of the European Union (EFRE), the Belgian Federal Science Policy Office and the European Space Agency (ESA) (AO2004, 118, GC and AMC), and the European Union’s Horizon 2020 research and innovation program under a Marie Skłodowska-Curie grant (101007521, JH, PF, and FM). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.