Decoding Brain Responses to Names and Voices across Different Vigilance States

Tomasz Wielek, Christine Blume, Malgorzata Wislowska, Renata Del Giudice, Manuel Schabus*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Past research has demonstrated differential responses of the brain during sleep in response especially to variations in paralinguistic properties of auditory stimuli, suggesting they can still be processed “offline”. However, the nature of the underlying mechanisms remains unclear. Here, we therefore used multivariate pattern analyses to directly test the similarities in brain activity among different sleep stages (non-rapid eye movement stages N1-N3, as well as rapid-eye movement sleep REM, and wake). We varied stimulus salience by manipulating subjective (own vs. unfamiliar name) and paralinguistic (familiar vs. unfamiliar voice) salience in 16 healthy sleepers during an 8-h sleep opportunity. Paralinguistic salience (i.e., familiar vs. unfamiliar voice) was reliably decoded from EEG response patterns during both N2 and N3 sleep. Importantly, the classifiers trained on N2 and N3 data generalized to N3 and N2, respectively, suggesting similar processing mode in these states. Moreover, projecting the classifiers’ weights using a forward model revealed similar fronto-central topographical patterns in NREM stages N2 and N3. Finally, we found no generalization from wake to any sleep stage (and vice versa) suggesting that “processing modes” or the overall processing architecture with respect to relevant oscillations and/or networks substantially change from wake to sleep. However, the results point to a single and rather uniform NREM-specific mechanism that is involved in (auditory) salience detection during sleep.
Original languageEnglish
Article number3393
Number of pages9
JournalSensors
Volume21
Issue number10
DOIs
Publication statusPublished - 13 May 2021

Fields of Science and Technology Classification 2012

  • 501 Psychology

Keywords

  • sleep
  • EEG
  • decoding

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