Attentional Inhibition Ability Predicts Neural Representation During Challenging Auditory Streaming

Area of Science:

• Neuroscience
• Cognitive Science
• Auditory Neuroscience

Background:

• Detecting attended auditory streams in complex environments is challenging.
• M/EEG-based auditory attention detection (AAD) shows high interindividual variability, often attributed to physiological factors and data quality.
• Executive functions are crucial for cognitive processes in complex auditory scenes.

Purpose of the Study:

• To investigate the role of executive functions (sustained attention, working memory, attentional inhibition) in explaining variability in EEG-based AAD performance.
• To assess the impact of musical expertise on AAD performance.

Main Methods:

• EEG was recorded from 41 participants listening to dichotically presented polyphonic piano music.
• Participants completed executive function assessments.
• EEG data was analyzed for AAD performance (reconstruction and classification accuracy).

Main Results:

• EEG-based AAD successfully distinguished attended from unattended stimuli.
• Attentional inhibition significantly predicted AAD reconstruction (6%) and classification (8%) accuracy.
• No significant effect of musical expertise or other executive functions on AAD performance was observed.

Conclusions:

• Cognitive factors, particularly attentional inhibition, impact the robustness of neural auditory representations.
• These findings suggest that cognitive abilities influence the performance of EEG-based decoding approaches.
• Understanding this relationship could enhance the development of next-generation hearing aids.