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Prior Expectation Mediates Neural Adaptation to Repeated Sounds in the Auditory Cortex: An MEG Study
Open accessAbstract
Repetition suppression, the phenomenon that the second presentation of a stimulus attenuates neural activity, is typically viewed as an automatic consequence of repeated stimulus presentation. However, a recent neuroimaging study has suggested that repetition suppression may be driven by top-down expectations. Here we examined whether and when repetition suppression can be modulated by top-down expectation. Participants listened to auditory stimuli in blocks where tone repetitions were either expected or unexpected, while we recorded ongoing neural activity using magnetoencephalography. We found robust repetition suppression in the auditory cortex for repeated tones. Interestingly, this reduction was significantly larger for expected than unexpected repetitions, both in terms of evoked activity and gamma-band synchrony. These findings indicate a role of top-down expectation in generating repetition suppression and are in line with predictive coding models of perception, in which the difference between expected and actual input is propagated from lower to higher cortical areas.
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“Direct evidence for alpha/beta and gamma in predictive coding per se comes from observations of increased gamma power to stimuli that are prediction errors (22, 24, 25).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [25]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“But there is mounting evidence that oscillatory dynamics play a role in regulating cortical processing and thus can also play a role, especially the gamma (40 to 90 Hz) and alpha/beta (10 to 30 Hz) bands (1, 18–25).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [25]
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“Similarly, violating expectations of auditory repetition causes enhanced gamma-band responses in early auditory cortex (Todorovic et al., 2011).”
From Canonical Microcircuits for Predictive Coding (2012) · cites this paper as Todorovic et al., 2011
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“As with RS, ES has been consistently reported in human brain imaging studies across sensory modalities and noninvasive neural recording techniques 45 , 46 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 (but see Ref. 82)”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Numerous subsequent functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and electroencephalography (EEG) studies have reported modulations of RS by the probability of a repetition 45 , 46 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 (i.e., expectation) (but see Refs. 68, 69, 70).”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Studies that have sought to test PP's characterization of oscillatory message passing have found that when a stimulus is expected, beta power gradually builds in the lead up to stimulus onset, and gamma activity is reduced when those expectations are realized.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Todorovic et al. 45 found greater gamma power for unexpected tone repetitions and unexpected omissions, but unexpected repetitions also elicited greater power in low frequencies (5–9 Hz).”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Todorovic et al. 45 found greater gamma power for unexpected tone repetitions and unexpected omissions, but unexpected repetitions also elicited greater power in low frequencies (5–9 Hz).”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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“Studies that have sought to test PP's characterization of oscillatory message passing have found that when a stimulus is expected, beta power gradually builds in the lead up to stimulus onset, and gamma activity is reduced when those expectations are realized.”
From Evaluating the neurophysiological evidence for predictive processing as a model of perception (2020) · cites this paper as [45]
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Citations
Cites
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“It is well possible that expectation-related modulations are more pervasive in early sensory than later stages of cortical processing (Rao and Ballard, 1999).”
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Repetition and the brain: neural models of stimulus-specific effects
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Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924
“2011), and magnetoencephalographic (MEG) (Todorovic et al. 2011) recordings.”
Canonical Microcircuits for Predictive Coding
Bastos, A. M., Usrey, W. M., Adams, R. A., Mangun, G. R., Fries, P., & Friston, K. J. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.038 · Cited by 2,421
“Similarly, violating expectations of auditory repetition causes enhanced gamma-band responses in early auditory cortex (Todorovic et al., 2011).”
Cortical oscillations and sensory predictions
Arnal, L. H., & Giraud, A.-L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.05.003 · Cited by 1,114
Expectation in perceptual decision making: neural and computational mechanisms
Summerfield, C., & de Lange, F. P. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3838 · Cited by 832
Precise minds in uncertain worlds: Predictive coding in autism.
Van de Cruys, S., Evers, K., Van der Hallen, R., Van Eylen, L., Boets, B., de-Wit, L., & Wagemans, J. (2014) · Psychological Review · doi:10.1037/a0037665 · Cited by 885
Metadata
- Authors
- Todorovic, A., van Ede, F., Maris, E., & de Lange, F. P.
- Affiliations
- Radboud University Nijmegen (NL)
- ORCID
- Maris, E.
- Venue
- Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-06-22
- Volume
- 31
- Issue
- 25
- Pages
- 9118-9123
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6623501
- OpenAlex
- W2017040534
- Semantic Scholar
- 01da2b94c0d012b4894f0ab8dd0e90bff96b699e
- Cited by
- 391
- References
- 50
- Citations by year
- 2026: 12 · 2025: 32 · 2024: 18 · 2023: 25 · 2022: 30 · 2021: 22 · 2020: 34 · 2019: 29 · 2018: 30 · 2017: 32 · 2016: 28 · 2015: 22 · 2014: 26 · 2013: 23 · 2012: 23
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuroscience (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Sensory Systems › Hearing, Cochlea, Tinnitus, Genetics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- repetition suppression, top-down expectations, auditory cortex, predictive coding, auditory evoked potentials, neural adaptation
- MeSH terms
- Acoustic Stimulation, Adaptation, Physiological, Attention, Auditory Cortex, Auditory Perception, Evoked Potentials, Auditory, Female, Humans, Male, Magnetoencephalography, Young Adult, Anticipation, Psychological
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