ArticleCerebral cortex (New York, N.Y. : 1991)2023
Brain recognition of previously learned versus novel temporal sequences: a differential simultaneous processing.
Article in Cerebral cortex (New York, N.Y. : 1991), 2023. 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.
- Musical and electrical stimulation as intervention in disorder of consciousness (DOC) patients: A randomised cross-over trial.PloS one · 2024Trial
- Brain Network Dynamics of Local and Global Predictive Processing in Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- FREQ-NESS Reveals Age-Related Differences in Frequency-Resolved Brain Networks During Auditory Recognition and Resting State.Annals of the New York Academy of Sciences · 2026Article
- Working Memory Predicts Long-Term Recognition of Auditory Sequences: Dissociation Between Confirmed Predictions and Prediction Errors.Scandinavian journal of psychology · 2025Article
- BROAD-NESS Uncovers Dual-Stream Mechanisms Underlying Predictive Coding in Auditory Memory Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- EEG Correlates of Auditory Short-Term Memory and Dissimilarity Perception in Young and Older Adults.The European journal of neuroscience · 2025Article
- FREQ-NESS Reveals the Dynamic Reconfiguration of Frequency-Resolved Brain Networks During Auditory Stimulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Multilevel irreversibility reveals higher-order organization of nonequilibrium interactions in human brain dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Decoding reveals the neural representation of perceived and imagined musical sounds.PLoS biology · 2024Article
- Age-related neural changes underlying long-term recognition of musical sequences.Communications biology · 2024Article
- Decoding reveals the neural representation of perceived and imagined musical sounds.bioRxiv : the preprint server for biology · 2024Article
- Spatiotemporal whole-brain activity and functional connectivity of melodies recognition.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Spatiotemporal brain hierarchies of auditory memory recognition and predictive coding.Nature communications · 2024Article
- Moderate associations betweenHeliyon · 2023Article
- Implicit auditory memory in older listeners: From encoding to 6-month retention.Current research in neurobiology · 2023Article
- Magnetoencephalography recordings reveal the spatiotemporal dynamics of recognition memory for complex versus simple auditory sequences.Communications biology · 2022Article
- Associations between abstract working memory abilities and brain activity underlying long-term recognition of auditory sequences.PNAS nexus · 2022Article
Corrections and comments
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8 authors.
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Abstract
Memory for sequences is a central topic in neuroscience, and decades of studies have investigated the neural mechanisms underlying the coding of a wide array of sequences extended over time. Yet, little is known on the brain mechanisms underlying the recognition of previously memorized versus novel temporal sequences. Moreover, the differential brain processing of single items in an auditory temporal sequence compared to the whole superordinate sequence is not fully understood. In this magnetoencephalography (MEG) study, the items of the temporal sequence were independently linked to local and rapid (2-8 Hz) brain processing, while the whole sequence was associated with concurrent global and slower (0.1-1 Hz) processing involving a widespread network of sequentially active brain regions. Notably, the recognition of previously memorized temporal sequences was associated to stronger activity in the slow brain processing, while the novel sequences required a greater involvement of the faster brain processing. Overall, the results expand on well-known information flow from lower- to higher order brain regions. In fact, they reveal the differential involvement of slow and faster whole brain processing to recognize previously learned versus novel temporal information.
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