Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention

Ivo V. Stuldreher*, Nattapong Thammasan, Jan B.F. van Erp, Anne-Marie Brouwer

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)
1 Downloads (Pure)

Abstract

Objective. Concurrent changes in physiological signals across multiple listeners (physiological synchrony-PS), as caused by shared affective or cognitive processes, may be a suitable marker of selective attentional focus. We aimed to identify the selective attention of participants based on PS with individuals sharing attention with respect to different stimulus aspects. Approach. We determined PS in electroencephalography (EEG), electrodermal activity (EDA) and electrocardiographic inter-beat interval (IBI) of participants who all heard the exact same audio track, but were instructed to either attend to the audiobook or to interspersed auditory events such as affective sounds and beeps that attending participants needed to keep track of. Main results. PS in all three measures reflected the selective attentional focus of participants. In EEG and EDA, PS was higher for participants when linked to participants with the same attentional instructions than when linked to participants instructed to focus on different stimulus aspects, but in IBI this effect did not reach significance. Comparing PS between a participant and members from the same or the different attentional group allowed for the correct identification of the participant's attentional instruction in 96%, 73% and 73% of the cases, for EEG, EDA and IBI, respectively, all well above chance level. PS with respect to the attentional groups also predicted performance on post-audio questions about the groups' stimulus content. Significance. Our results show that selective attention of participants can be monitored using PS, not only in EEG, but also in EDA and IBI. These results are promising for real-world applications, where wearables measuring peripheral signals like EDA and IBI may be preferred over EEG sensors.

Original languageEnglish
Article number046028
JournalJournal of neural engineering
Volume17
Issue number4
DOIs
Publication statusPublished - 11 Aug 2020

Keywords

  • Physiological synchrony
  • Inter-subject correlations
  • Interpersonal physiology
  • EEG
  • Electrodermal activity
  • Skin conductance
  • Heart rate

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