ArticleeLife2020
Low-frequency neural activity reflects rule-based chunking during speech listening.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Constituent-constrained word prediction during language comprehension.Nature neuroscience · 2026Article
- Low-frequency cortical activity reflects context-dependent parsing of word sequences.iScience · 2025Article
- Predictive learning shapes the representational geometry of the human brain.Nature communications · 2024Article
- Choice-dependent delta-band neural trajectory during semantic category decision making in the human brain.iScience · 2024Article
- Fast and Slow Rhythms of Naturalistic Reading Revealed by Combined Eye-Tracking and Electroencephalography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Spatiotemporally distributed frontotemporal networks for sentence reading.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Delta-band neural tracking primarily reflects rule-based chunking instead of semantic relatedness between words.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Article
- Compromised word-level neural tracking in the high-gamma band for children with attention deficit hyperactivity disorder.Frontiers in human neuroscience · 2023Article
- The power of rhythms: how steady-state evoked responses reveal early neurocognitive development.NeuroImage · 2022Article
- Neural dynamics differentially encode phrases and sentences during spoken language comprehension.PLoS biology · 2022Article
- Effects of Structure and Meaning on Cortical Tracking of Linguistic Units in Naturalistic Speech.Neurobiology of language (Cambridge, Mass.) · 2022Article
- Synchronizing with the rhythm: Infant neural entrainment to complex musical and speech stimuli.Frontiers in psychology · 2022Article
- Cortical Processing of Arithmetic and Simple Sentences in an Auditory Attention Task.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Article
- Linguistic Structure and Meaning Organize Neural Oscillations into a Content-Specific Hierarchy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Assessing the depth of language processing in patients with disorders of consciousness.Nature neuroscience · 2020Article
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Authors and funding
3 authors.
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Abstract
Chunking is a key mechanism for sequence processing. Studies on speech sequences have suggested low-frequency cortical activity tracks spoken phrases, that is, chunks of words defined by tacit linguistic knowledge. Here, we investigate whether low-frequency cortical activity reflects a general mechanism for sequence chunking and can track chunks defined by temporarily learned artificial rules. The experiment records magnetoencephalographic (MEG) responses to a sequence of spoken words. To dissociate word properties from the chunk structures, two tasks separately require listeners to group pairs of semantically similar or semantically dissimilar words into chunks. In the MEG spectrum, a clear response is observed at the chunk rate. More importantly, the chunk-rate response is task-dependent. It is phase locked to chunk boundaries, instead of the semantic relatedness between words. The results strongly suggest that cortical activity can track chunks constructed based on task-related rules and potentially reflects a general mechanism for chunk-level representations.
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