ArticleiScience2025
The role of conscious attention in auditory statistical learning: Evidence from patients with impaired consciousness.
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Article
- When attention matters: Domain-specific disruption of explicit but not implicit memory in statistical learning.Memory & cognition · 2026Article
- Aberrant Neural Entrainment to Word-Level Speech Patterns in Fragile X Syndrome: Evidence for a Statistical Learning Deficit.Autism research : official journal of the International Society for Autism Research · 2026Article
- Repetitions trigger illusory awareness in implicit statistical learning.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Long-Horizon Associative Learning Explains Human Sensitivity to Statistical and Network Structures in Auditory Sequences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- The diagnostic and prognostic value of auditory statistical learning ability in patients with disorders of consciousness.Frontiers in neurologyArticle
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The need for attention to enable statistical learning is debated. Testing individuals with impaired consciousness offers valuable insight, but very few studies have been conducted due to the difficulties inherent in such studies. Here, we examined the ability of patients with varying levels of disorders of consciousness (DOC) to extract statistical regularities from an artificial language composed of randomly concatenated pseudowords by measuring frequency tagging in EEG. The objectives were firstly, to assess the automaticity of the segmentation process and the correlations between the level of covert consciousness and statistical learning capacities; secondly, to identify potential new diagnostic indicators. We observed that segmentation abilities were preserved in some minimally conscious patients, suggesting that auditory statistical learning is an inherently automatic low-level process. Due to significant inter-individual variability, word segmentation might not be robust enough for clinical use. In contrast, temporal accuracy of auditory syllable responses correlates strongly with coma severity.
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Registered trials
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