ArticleThe European journal of neuroscience2022
EEG alpha and pupil diameter reflect endogenous auditory attention switching and listening effort.
Article in The European journal of neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Competing speech streams are simultaneously represented in the human cortex during attention switching.PLoS biology · 2026Article
- Alpha oscillatory activity reveals focused-attentional disparity between cochlear implant users and normal hearing listeners.Scientific reports · 2026Article
- Neural Tracking of Sustained Attention, Attention Switching, and Natural Conversation in Audiovisual Environments Using Wearable EEG.The European journal of neuroscience · 2026Article
- Cortical speech envelope tracking reflects lesion-symptom profiles in post-stroke aphasia.Brain communications · 2026Article
- Neural entrainment to visual rules in infant and adult brain.Scientific reports · 2025Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Selective attention and sensitivity to auditory disturbances in a virtually real classroom.eLife · 2025Article
- A Brain-Computer Interface for Improving Auditory Attention in Multi-Talker Environments.IEEE access : practical innovations, open solutions · 2025Article
- Brain-Controlled Augmented Hearing for Spatially Moving Conversations in Multi-Talker Environments.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Investigation of the behavior of tinnitus patients under varying listening conditions with simultaneous electroencephalography and pupillometry.Brain and behavior · 2024Article
- Predictive brain activity related to auditory information is associated with performance in speech comprehension tasks in noisy environments.Frontiers in human neuroscience · 2024Article
- Improving auditory attention decoding by classifying intracranial responses to glimpsed and masked acoustic events.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Validation of cost-efficient EEG experimental setup for neural tracking in an auditory attention task.Scientific reports · 2023Article
- Energetic and informational masking place dissociable demands on listening effort: Evidence from simultaneous electroencephalography and pupillometrya).The Journal of the Acoustical Society of America · 2023Article
- Pupil Dilation and Microsaccades Provide Complementary Insights into the Dynamics of Arousal and Instantaneous Attention during Effortful Listening.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- EEG alpha and pupil diameter reflect endogenous auditory attention switching and listening effort.The European journal of neuroscience · 2022Article
- Synchronization of ear-EEG and audio streams in a portable research hearing device.Frontiers in neuroscience · 2022Article
- Listening Effort for Soft Speech in Quiet.Trends in hearingArticle
- Attention Mobilization as a Modulator of Listening Effort: Evidence From Pupillometry.Trends in hearingArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Everyday environments often contain distracting competing talkers and background noise, requiring listeners to focus their attention on one acoustic source and reject others. During this auditory attention task, listeners may naturally interrupt their sustained attention and switch attended sources. The effort required to perform this attention switch has not been well studied in the context of competing continuous speech. In this work, we developed two variants of endogenous attention switching and a sustained attention control. We characterized these three experimental conditions under the context of decoding auditory attention, while simultaneously evaluating listening effort and neural markers of spatial-audio cues. A least-squares, electroencephalography (EEG)-based, attention decoding algorithm was implemented across all conditions. It achieved an accuracy of 69.4% and 64.0% when computed over nonoverlapping 10 and 5-s correlation windows, respectively. Both decoders illustrated smooth transitions in the attended talker prediction through switches at approximately half of the analysis window size (e.g., the mean lag taken across the two switch conditions was 2.2 s when the 5-s correlation window was used). Expended listening effort, as measured by simultaneous EEG and pupillometry, was also a strong indicator of whether the listeners sustained attention or performed an endogenous attention switch (peak pupil diameter measure [
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.