ArticleScientific reports2023
Induced alpha and beta electroencephalographic rhythms covary with single-trial speech intelligibility in competition.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Prediction from Statistical Learning Aids Auditory Scene Analysis.bioRxiv : the preprint server for biology · 2026Article
- Differential effects of external noise and situational interest on neurophysiological responses during video based learning.NPJ science of learning · 2025Article
- A comparative study of EEG functional and effective connectivity patterns in children with learning difficulties during reading and math tasks.Frontiers in neuroscience · 2025Article
- Brainwave patterns during a mock job interview among Thai undergraduate students.Frontiers in human neuroscience · 2025Article
- Neural Mechanisms Related to the Enhanced Auditory Selective Attention Following Neurofeedback Training: Focusing on Cortical Oscillations.Applied sciences (Basel, Switzerland) · 2023Article
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Abstract
Neurophysiological studies suggest that intrinsic brain oscillations influence sensory processing, especially of rhythmic stimuli like speech. Prior work suggests that brain rhythms may mediate perceptual grouping and selective attention to speech amidst competing sound, as well as more linguistic aspects of speech processing like predictive coding. However, we know of no prior studies that have directly tested, at the single-trial level, whether brain oscillations relate to speech-in-noise outcomes. Here, we combined electroencephalography while simultaneously measuring intelligibility of spoken sentences amidst two different interfering sounds: multi-talker babble or speech-shaped noise. We find that induced parieto-occipital alpha (7-15 Hz; thought to modulate attentional focus) and frontal beta (13-30 Hz; associated with maintenance of the current sensorimotor state and predictive coding) oscillations covary with trial-wise percent-correct scores; importantly, alpha and beta power provide significant independent contributions to predicting single-trial behavioral outcomes. These results can inform models of speech processing and guide noninvasive measures to index different neural processes that together support complex listening.
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