Journal of Cognitive NeuroscienceNeurosciencePeer-reviewed journal article
A silent disco: Differential effects of beat-based and pattern-based temporal expectations on persistent entrainment of low-frequency neural oscillations
Fleur L. BouweriD, Johannes J. FahrenfortiD, Samantha K. MillardiD, Niels A KloostermaniD, Heleen A. SlagteriD
Abstract
The brain uses temporal structure in the environment, like rhythm in music and speech, to predict the timing of events, thereby optimizing their processing and perception. Temporal expectations can be grounded in different aspects of the input structure, such as a regular beat or a predictable pattern. One influential account posits that a generic mechanism underlies beat-based and pattern-based expectations, namely entrainment of low frequency neural oscillations to rhythmic input, while other accounts assume different underlying neural mechanisms. Here, we addressed this outstanding issue by examining EEG activity and behavioral responses during silent periods following rhythmic auditory sequences. We measured responses outlasting the rhythms both to avoid confounding the EEG analyses with evoked responses, and to directly test whether beat-based and pattern-based expectations persist beyond stimulation, as predicted by entrainment theories. To properly disentangle beat-based and pattern-based expectations, which often occur simultaneously, we used non-isochronous rhythms with a beat, a predictable pattern, or random timing. In Experiment 1 (N = 32), beat-based expectations affected behavioral ratings of probe events for two beat-cycles after the end of the rhythm. The effects of pattern-based expectations reflected expectations for one interval. In Experiment 2 (N = 27), using EEG, we found enhanced spectral power at the beat frequency for beat-based sequences both during listening and silence. For pattern-based sequences, enhanced power at a pattern-specific frequency was present during listening, but not silence. Moreover, we found a difference in the evoked signal following pattern-based and beat-based sequences. Finally, we show how multivariate pattern decoding and multi scale entropy - measures sensitive to non-oscillatory components of the signal - can be used to probe temporal expectations. Together, our results suggest that the input structure used to form temporal expectations may affect the associated neural mechanisms. We suggest climbing activity and low-frequency oscillations may be differentially associated with pattern-based and beat-based expectations.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
- 27
- FWCI
- 3.73
- Field percentile
- top 6%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Beat-based and memory-based temporal expectations in rhythm: similar perceptual effects, different underlying mechanisms
Fleur L. Bouwer, Henkjan Honing, Heleen A. Slagter·Journal of Cognitive NeurosciencePeer-reviewed·Jan 14, 2020
- Tempo-dependent selective enhancement of neural responses at the beat frequency can be mimicked by both an oscillator and an evoked model
Atser Damsma, Mitchell de Roo, … Fleur L. Bouwer·Cerebral CortexPeer-reviewed·Aug 25, 2025
- Beyond Onset Timing: Longer Sound Envelope Duration Enhances Neural Representation of the Musical Beat
Flora Rosenzweig, Cédric Lenoir, … Sylvie Nozaradan·bioRxiv·May 13, 2026
- Individual neurophysiological signatures of spontaneous rhythm processing
Antonio Criscuolo, Michael Schwartze, … Sonja A. Kotz·NeuroImagePeer-reviewed·Apr 5, 2023
- No behavioral evidence for rhythmic facilitation of perceptual discrimination
Wy Ming Lin, Djamari Oetringer, … Saskia Haegens·European Journal of NeurosciencePeer-reviewed·Mar 26, 2021
- Modality-specific frequency band activity during neural entrainment to auditory and visual rhythms
Daniel C. Comstock, Jessica Marie Ross, Ramesh Balasubramaniam·European Journal of NeurosciencePeer-reviewed·May 18, 2021