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.
“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]
The Results section ('Expectation of repetition reduces auditory activity for repeated tones') reports greater gamma-band power for unexpected than expected tone repetitions. The Discussion says this activity may signal a prediction-error response, but presents that interpretation as tentative; the cited passages do not establish an alpha/beta finding. (LLM, conf=0.84)
Experimental — accuracy not yet measuredOscillatory dynamics play a role in regulating cortical processing, especially the gamma (40 to 90 Hz) and alpha/beta (10 to 30 Hz) bands.
“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]
The Discussion links gamma-band activity to auditory prediction-error processing, supporting a role for oscillations in cortical processing. But the MEG data analysis section examines theta/alpha (5–12 Hz) and gamma (50–100 Hz), not the claimed alpha/beta (10–30 Hz) and gamma (40–90 Hz) ranges. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredViolating expectations of auditory repetition causes enhanced gamma-band responses in early auditory cortex.
“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
ES has been consistently reported in human brain imaging studies across sensory modalities and noninvasive neural recording techniques.
“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]
Numerous subsequent fMRI, MEG, and EEG studies have reported modulations of RS by probability of repetition.
“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]
Gamma activity is reduced when expectations are realized.
“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]
Unexpected repetitions also elicited greater power in low frequencies (5-9 Hz).
“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]
Todorovic et al. found greater gamma power for unexpected tone repetitions and unexpected omissions.
“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]
When a stimulus is expected, beta power gradually builds in the lead up to stimulus onset.
“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]
The MEG data analysis section says the study restricted its frequency analyses to theta/alpha and gamma bands, not beta. The Discussion mentions activity patterns before stimuli, but neither it nor the passages retrieved for beta and prestimulus activity report a gradual buildup of beta power before stimulus onset. (LLM, conf=0.75)
Experimental — accuracy not yet measured
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“Similarly, violating expectations of auditory repetition causes enhanced gamma-band responses in early auditory cortex (Todorovic et al., 2011).”
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InfluentialEvidence for a hierarchy of predictions and prediction errors in human cortex
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“Omission responses fit quite naturally within the predictive coding framework: If stimulus-evoked brain activity indexes the difference between a sensory signal and its top-down prediction, then, when the sensory signal is omitted, the evoked activity should reflect the pure prediction signal within the same cortical…”
BackgroundA neuronal model of predictive coding accounting for the mismatch negativity.
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BackgroundResultHow prediction errors shape perception, attention, and motivation
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“These models account for several extraclassical receptive field effects (Rao and Ballard 1999; Spratling 2010) and are in line with empirical findings that predicted stimuli evoke reduced neural responses (Alink et al. 2010; den Ouden et al. 2010; Todorovic et al. 2011).”
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“, 2006) where neural activity ceases in response to expected input in a manner consistent with prediction error minimization (Summerfield et al., 2008; Todorovic et al., 2011).”
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Evaluating the neurophysiological evidence for predictive processing as a model of perception
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“RS appears most noticeably present when stimulus repetitions are expected, and attenuated when they are infrequent (Summerfield et al., 2008; Todorovic et al., 2011).”
BackgroundMethodRepetition suppression and its contextual determinants in predictive coding
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“MEG studies in humans have shown suppression of gamma-band synchrony (as well as evoked responses) in auditory cortex following an expected stimulus repetition, consistent with a successful mini-misation of the prediction error (Todorovic, van Ede, Maris, & de Lange, 2011).”
ResultPrior expectations induce prestimulus sensory templates
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Expectation and Attention in Hierarchical Auditory Prediction
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“This finding is convergent with previous MEG evidence of attenuation of early auditory responses to expected versus unexpected stimuli (Todorovic et al., 2011; Todorovic and de Lange, 2012).”
ResultPrior Expectations Evoke Stimulus Templates in the Primary Visual Cortex
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Prior expectations bias sensory representations in visual cortex
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“This suggests that prior expectations modify sensory processing at the earliest stages by affecting not only the amplitude of neural responses (Summerfield et al., 2008; den Ouden et al., 2009; Alink et al., 2010; Todorovic et al., 2011; Kok et al., 2012b), or their sharpness (Kok et al.”
BackgroundInfluentialLarge-scale cortical networks for hierarchical prediction and prediction error in the primate brain
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“12 Neuron 100, 1–15, December 5, 2018 Numerous human ECoG andMEG studies have demonstrated the correlation between prediction errors and the magnitude of g-band oscillations in audition (D€ urschmid et al., 2016; Edwards et al., 2005; Todorovic et al., 2011), vision (Brodski et al.”
Layer and rhythm specificity for predictive routing
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“This is supported by human electro/magnetoencephalography (MEG/EEG) studies and a recent monkey electrocorticography study (Arnal and Giraud, 2012; Auksztulewicz and Friston, 2016; Bauer et al., 2006; Brodski et al., 2015; Chao et al., 2018; Mayer et al., 2016; van Pelt et al., 2016; Todorovic et al., 2011).”
Prestimulus Oscillatory Activity over Motor Cortex Reflects Perceptual Expectations
de Lange, F. P., Rahnev, D., Donner, T. H., & Lau, H. C. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1094-12.2013 · Cited by 269 · see citing works
“…studies have found evidence for biasing of activity of both the sensory areas encoding the evidence (Shulman et al., 1999; Preuschhof et al., 2010; Todorovic et al., 2011; Kok et al., 2012a,b) and associative areas related to action planning (Domenech and Dreher, 2010; Forstmann et al., 2010;…”
BackgroundAttention and prediction in human audition: a lesson from cognitive psychophysiology
Schröger, E., Marzecová, A., & SanMiguel, I. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12816 · Cited by 257 · see citing works
“Todorovic et al. (2011) studied prediction effects with tone pairs.”
Carbajal, G. V., & Malmierca, M. S. (2018) · Trends in Hearing · doi:10.1177/2331216518784822 · Cited by 228 · see citing works
“…Friston, 2016; Garrido, Kilner, Kiebel, et al., 2009; Grill-Spector, Henson, & Martin, 2006; Summerfield, Monti, Trittschuh, Mesulam, & Egner, 2008; Todorovic et al., 2011), that is, the attenuation of the evoked response to a certain repeated stimulus feature, and namely to a certain repeated…”
BackgroundDistorted Cognitive Processes in Major Depression: A Predictive Processing Perspective
Κube, T., Schwarting, R. K. W., Rozenkrantz, L., Glombiewski, J. A., & Rief, W. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.07.017 · Cited by 238 · see citing works
Prediction and memory: A predictive coding account
Barron, H. C., Auksztulewicz, R., & Friston, K. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101821 · Cited by 220 · see citing works
Gotts, S. J., Chow, C. C., & Martin, A. (2012) · Cognitive Neuroscience · doi:10.1080/17588928.2012.670617 · Cited by 213 · see citing works
Repetition suppression: a means to index neural representations using BOLD?
Barron, H. C., Garvert, M. M., & Behrens, T. E. J. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0355 · Cited by 219 · see citing works
Neural signatures of perceptual inference
Sedley, W., Gander, P. E., Kumar, S., Kovach, C. K., Oya, H., Kawasaki, H., Howard, M. A., & Griffiths, T. D. (2016) · eLife · doi:10.7554/elife.11476 · Cited by 194 · see citing works
Online and offline tools for head movement compensation in MEG
Stolk, A., Todorović, A., Schoffelen, J., & Oostenveld, R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.11.047 · Cited by 209 · see citing works
“In the third task (auditory task, ~6 min), brief tones (frequency 1000 Hz, duration 5 ms, ~70 dB SPL) were presented binaurally via MEG-compatible air tubes (Todorovic et al., 2011).”
InfluentialBlank, H., & Davis, M. H. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002577 · Cited by 181 · see citing works
The suppression of repetition enhancement: A review of fMRI studies
Segaert, K., Weber, K., de Lange, F. P., Petersson, K. M., & Peter Hagoort, A. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.006 · Cited by 191 · see citing works
Shape Perception Simultaneously Up- and Downregulates Neural Activity in the Primary Visual Cortex
Kok, P., & de Lange, F. P. (2014) · Current Biology · doi:10.1016/j.cub.2014.05.042 · Cited by 163 · see citing works
Serial Dependence in Perceptual Decisions Is Reflected in Activity Patterns in Primary Visual Cortex
John-Saaltink, E. S., Kok, P., Lau, H. C., & de Lange, F. P. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4390-15.2016 · Cited by 179 · see citing works
“Other sequential effects, such as repetition suppression, may similarly be cast as the result of this same prior (Summerfield et al., 2008; Todorovic et al., 2011; Henson, 2015): if the world is generally stable, objects are more likely to repeat than change.”
ResultFunctional dissociation of stimulus intensity encoding and predictive coding of pain in the insula
Geuter, S., Boll, S., Eippert, F., & Büchel, C. (2017) · eLife · doi:10.7554/elife.24770 · Cited by 184 · see citing works
Adaptive Gain Control during Human Perceptual Choice
Cheadle, S. W., Wyart, V., Tsetsos, K., Myers, N. E., de Gardelle, V., Castañón, S. H., & Summerfield, C. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.020 · Cited by 186 · see citing works
“This theory is consistent with the repeated finding that BOLD signals to expected information tend to be suppressed rather than enhanced (Summerfield and Egner, 2009; Summerfield et al., 2008; Todorovic et al., 2011), as well as with a recent report that despite this ‘‘expectation suppression,’’ more probable signals…”
Forms of prediction in the nervous system
Teufel, C., & Fletcher, P. C. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0275-5 · Cited by 155 · see citing works
Human Scalp Electroencephalography Reveals that Repetition Suppression Varies with Expectation
Summerfield, C., Wyart, V., Johnen, V. M., & de Gardelle, V. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00067 · Cited by 145 · see citing works
“In another recent report (Todorovic et al., 2011), expectation modulated RS of auditory evoked potentials observed using MEG, although these effects occurred somewhat earlier, perhaps because stimuli were presented in the auditory modality.”
BackgroundBastos, A. M., Litvak, V., Moran, R., Bosman, C. A., Fries, P., & Friston, K. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.081 · Cited by 152 · see citing works
“This dissociation, with fast frequencies relaying prediction errors and slower frequencies relaying predictions, is consistent with studies that have examined oscillatory responses during repetition suppression, auditory processing of expected and unexpected stimulus sequences, and auditory/visual speech processing (A…”
ResultCortical encoding of melodic expectations in human temporal cortex
Liberto, G. M. D., Pelofi, C., Bianco, R., Patel, P., Mehta, A. D., Herrero, J. L., Alain De Cheveigné, A., Shamma, S., & Mesgarani, N. (2020) · eLife · doi:10.7554/elife.51784 · Cited by 156 · see citing works
Dysfunction of Rapid Neural Adaptation in Dyslexia
Perrachione, T. K., Tufo, S. N. D., Winter, R. E., Murtagh, J., Cyr, A. B., Chang, P., Halverson, K. K., Ghosh, S., Christodoulou, J. A., & Gabrieli, J. D. E. (2016) · Neuron · doi:10.1016/j.neuron.2016.11.020 · Cited by 142 · see citing works
“Perceptual expectations influence the magnitude of neural adaptation (Costa-Faidella et al., 2011; Summerfield et al., 2008; Todorovic et al., 2011).”
Human Inferences about Sequences: A Minimal Transition Probability Model
Meyniel, F., Maheu, M., & Dehaene, S. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005260 · Cited by 141 · see citing works
SanMiguel, I., Widmann, A., Bendixen, A., Trujillo‐Barreto, N. J., & Schröger, E. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5821-12.2013 · Cited by 141 · see citing works
“When a sequence of sounds is prematurely interrupted, early ( 100 ms) activity has been observed (Raij et al., 1997; Hughes et al., 2001; Bendixen et al., 2009; Todorovic et al., 2011; Wacongne et al., 2011).”
BackgroundEncoding of Stimulus Probability in Macaque Inferior Temporal Cortex
Bell, A. H., Summerfield, C., Morin, E. L., Malecek, N. J., & Ungerleider, L. G. (2016) · Current Biology · doi:10.1016/j.cub.2016.07.007 · Cited by 118 · see citing works
Prior expectations evoke stimulus-specific activity in the deep layers of the primary visual cortex
Aitken, F., Menelaou, G., Warrington, O., Koolschijn, R. S., Corbin, N., Callaghan, M. F., & Kok, P. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3001023 · Cited by 138 · see citing works
“…decade, research using techniques as diverse as noninvasive functional magnetic resonance imaging (fMRI) [1–4] and electro-and magnetoencephalography [5–8] in humans, as well as invasive animal electrophysiology [9–13], has revealed that prior expectations strongly modulate sensory processing [14].”
Lange, K. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00263 · Cited by 131 · see citing works
“The MMN can be explained by sensory adaptation (for a review see May and Tiitinen, 2010) or by an involvement of top–down expectations or their violation (e.g., Schröger and Wolff, 1996; see also Todorovic et al., 2011; Todorovic and de Lange, 2012).”
BackgroundKononowicz, T. W., & van Rijn, H. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2523-13.2014 · Cited by 129 · see citing works
“The observed results could therefore be accounted for by assuming that continuous changes in expectancy attenuate the evoked responses to the offset tones closer to the SI (Lange, 2009; but see Bendixen et al., 2009; Todorovic et al., 2011; Wacongne et al., 2011; Todorovic and de Lange, 2012).”
BackgroundCan predictive coding explain repetition suppression?
Grotheer, M., & Kovács, G. (2016) · Cortex · doi:10.1016/j.cortex.2015.11.027 · Cited by 108 · see citing works
Is predictability salient? A study of attentional capture by auditory patterns
Southwell, R. V., Anna, B., Cécile, G., Barascud, N., Friston, K. J., & Maria Chait, A. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0105 · Cited by 127 · see citing works
The Mechanisms and Meaning of the Mismatch Negativity
Fishman, Y. I. (2013) · Brain Topography · doi:10.1007/s10548-013-0337-3 · Cited by 121 · see citing works
Associative Prediction of Visual Shape in the Hippocampus
Kok, P., & Turk‐Browne, N. B. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0163-18.2018 · Cited by 112 · see citing works
“Neural activity in sensory cortex can be strongly modulated by prior expectations (Summerfield et al., 2008; den Ouden et al., 2009; Alink et al., 2010; Meyer and Olson, 2011; Todorovic et al., 2011; Wacongne et al., 2011; Kok et al., 2012, 2013; Bell et al., 2016; Kaposvari et al., 2016).”
BackgroundFazeli, S., & Büchel, C. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0671-18.2018 · Cited by 109 · see citing works
“Prediction errors were coded in absolute differences, motivated by previous studies in the visual and auditory system (den Ouden et al., 2010; Todorovic et al., 2011; Todorovic and de Lange, 2012; Boll et al., 2013; Geuter et al., 2017).”
MethodResultCoding Principles in Adaptation
Weber, A. I., Krishnamurthy, K., & Fairhall, A. L. (2019) · Annual Review of Vision Science · doi:10.1146/annurev-vision-091718-014818 · Cited by 103 · see citing works
“In general, top-down connections are likely to play a significant role in mediating several forms of on-line learning of statistics (Todorovic et al. 2011, Hamm et al. 2018).”
BackgroundThe Faces of Predictive Coding
Brodski, A., Paasch, G.-F., Helbling, S., & Wibral, M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1529-14.2015 · Cited by 99 · see citing works
“First evidence for PE signaling in GBA has been provided in recent MEG studies (Arnal et al., 2011; Todorovic et al., 2011; Bauer et al., 2014).”
ResultBrain signatures of a multiscale process of sequence learning in humans
Maheu, M., Dehaene, S., & Meyniel, F. (2019) · eLife · doi:10.7554/elife.41541 · Cited by 98 · see citing works
Tang, M. F., Smout, C. A., Arabzadeh, E., & Mattingley, J. B. (2018) · eLife · doi:10.7554/elife.33123 · Cited by 83 · see citing works
Is predictive coding theory articulated enough to be testable?
Kogo, N., & Trengove, C. (2015) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2015.00111 · Cited by 98 · see citing works
“…question is particularly crucial because it has been suggested that reduction of neural signals at the lower level can be explained in terms of error minimization (Murray et al., 2002; Summerfield et al., 2008; den Ouden et al., 2009; Alink et al., 2010; Todorovic et al., 2011; Kok et al., 2012b).”
BackgroundPreferential effect of isoflurane on top-down vs. bottom-up pathways in sensory cortex
Raz, A., Grady, S. M., Krause, B. M., Uhlrich, D. J., Manning, K., & Banks, M. I. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00191 · Cited by 95 · see citing works
“…to sensory stimuli (Warren, 1970; Haist et al., 2001; Alain and Izenberg, 2003; Alain, 2007; Davis and Johnsrude, 2007; Fritz et al., 2007; Todorovic et al., 2011; Chennu et al., 2013; Kok et al., 2013), likely via modulation of infra- and supragranular pyramidal cells due to the…”
BackgroundUntangling Perceptual Memory: Hysteresis and Adaptation Map into Separate Cortical Networks
Schwiedrzik, C. M., Ruff, C. C., Lazăr, A., Leitner, F. C., Singer, W., & Melloni, L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs396 · Cited by 99 · see citing works
“This resembles repetition suppression (Grill-Spector et al. 2006), which has been proposed to reflect an effect of top-down perceptual expectations (Friston 2005; Summerfield et al. 2008; Todorovic et al. 2011).”
Predictive Coding in Sensory Cortex
Kok, P., & de Lange, F. P. (2015) · An Introduction to Model-Based Cognitive Neuroscience · doi:10.1007/978-1-4939-2236-9_11 · Cited by 98 · see citing works
Temporal Expectation and Attention Jointly Modulate Auditory Oscillatory Activity in the Beta Band
Todorovic, A., Schoffelen, J.-M., van Ede, F., Maris, E., & de Lange, F. P. (2015) · PLOS ONE · doi:10.1371/journal.pone.0120288 · Cited by 84 · see citing works
“Similarly, we have previously observed that activity elicited by tone omissions scales with the (im)probability of the omission [29].”
BackgroundResultInfluentialSelf-citationSurface color and predictability determine contextual modulation of V1 firing and gamma oscillations
Peter, A., Uran, C., Klon-Lipok, J., Roese, R., van Stijn, S., Barnes, W., Dowdall, J. R., Singer, W., Fries, P., & Vinck, M. A. (2019) · eLife · doi:10.7554/elife.42101 · Cited by 88 · see citing works
Automatic and feature-specific prediction-related neural activity in the human auditory system
Demarchi, G., Sanchez, G., & Weisz, N. (2019) · Nature Communications · doi:10.1038/s41467-019-11440-1 · Cited by 93 · see citing works
Rethinking post-traumatic stress disorder – A predictive processing perspective
Κube, T., Berg, M., Kleim, B., & Herzog, P. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.04.014 · Cited by 101 · see citing works
Expectancy-based rhythmic entrainment as continuous Bayesian inference
Cannon, J. J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009025 · Cited by 93 · see citing works
“However, timing prediction errors may be 635 observable in EEG/MEG through their effect on gamma oscillations [90, 91].”
BackgroundPrinciples of Temporal Processing Across the Cortical Hierarchy
Himberger, K. D., Chien, H.-Y. S., & Honey, C. J. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.04.030 · Cited by 87 · see citing works
Repetition Probability Does Not Affect fMRI Repetition Suppression for Objects
Kovacs, G., KAISER, D. H., Kaliukhovich, D. A., Vidnyánszky, Z., & Vogels, R. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3423-12.2013 · Cited by 86 · see citing works
“Todorovic et al. (2011) applied auditory stimulation and found that prior expectations increase the RS of both the evoked activity and gamma-band synchrony of the MEG signal.”
BackgroundCohn, N., Jackendoff, R. S., Holcomb, P. J., & Kuperberg, G. R. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.018 · Cited by 137 · see citing works
“Neural responses to omissions are taken to reflect pure neural prediction error, produced by the mismatch between top-down predictions and (absent) bottom-up input (Bendixen, Schröger, & Winkler, 2009; Friston, 2005; Todorovic, van Ede, Maris, & de Lange, 2011; Wacongne et al., 2011).”
BackgroundBartha, L., Deuster, D., Giordano, V., Zehnhoff‐Dinnesen, A. A., & Dobel, C. (2015) · Psychophysiology · doi:10.1111/psyp.12459 · Cited by 83 · see citing works
Echoes of the spoken past: how auditory cortex hears context during speech perception
Skipper, J. I. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0297 · Cited by 82 · see citing works
“In the RS case, stimuli are more predictable because they are repeating and this leads to less prediction error and, therefore, less AC activity [108–111].”
BackgroundNeural Oscillations: Understanding a Neural Code of Pain
Kim, J. A., & Davis, K. D. (2020) · The Neuroscientist · doi:10.1177/1073858420958629 · Cited by 83 · see citing works
Prior Expectations of Motion Direction Modulate Early Sensory Processing
Aitken, F., Turner, G., & Kok, P. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0537-20.2020 · Cited by 76 · see citing works
“…previous studies which report modulations of the amplitude of sensory signals by expectation at ∼100-150 ms (Samaha et al., 2018; Stojanoski and Niemeier, 2015; Bar et al., 2006; Todorovic et al. 2011; Todorovic and De Lange, 2012; Wacongne et al., 2011; Meyer and Olson, 2011; Aru et al., 2016).”
BackgroundResultAutomatic Temporal Expectancy: A High-Density Event-Related Potential Study
Mento, G., Tarantino, V., Sarlo, M., & Bisiacchi, P. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062896 · Cited by 76 · see citing works
“Concerning implicit timing tasks, it is important to mention earlier studies using oddball-like stimulation protocols to investigate timing or time-related processing [40,57–60].”
MethodRepetition enhancement and memory effects for duration
Wiener, M., & Thompson, J. C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.054 · Cited by 77 · see citing works
“A prediction for this experiment is that the CNV signal would be higher for rare, unexpected repeats than for common, expected ones, similar to other stimulus domains (Todorovic et al., 2011).”
ResultThe empirical status of predictive coding and active inference
Hodson, R., Mehta, M., & Smith, R. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105473 · Cited by 69 · see citing works
Predictive waves in the autism-schizophrenia continuum: A novel biobehavioral model
Tarasi, L., Trajkovic, J., Diciotti, S., di Pellegrino, G., Ferri, F., Ursino, M., & Romei, V. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.006 · Cited by 69 · see citing works
Gordon, N., Koenig‐Robert, R., Tsuchiya, N., van Boxtel, J. J. A., & Hohwy, J. (2017) · eLife · doi:10.7554/elife.22749 · Cited by 72 · see citing works
“We expected to find strongest SSVEP amplitudes over the occipital region (as the primary visual cortex is known to be a principal source of SSVEP [Di Russo et al., 2007]) and strongest SWIFT amplitudes over more temporal and parietal regions (as SWIFT has been shown to increasingly activate higher…”
BackgroundMethodInfluentialAffective interoceptive inference: Evidence from heart‐beat evoked brain potentials
Gentsch, A., Sel, A., Marshall, A. C., & Schütz‐Bosbach, S. (2019) · Human Brain Mapping · doi:10.1002/hbm.24352 · Cited by 76 · see citing works
“…increasing stimulus repetition rate, leads to neural modulations in cortical regions where the expected stimulus is represented, that is, repetition effects (Friston, 2005; Henson, Shallice, & Dolan, 2000; Summerfield et al., 2008; Todorovic et al., 2011; Turk-Browne, Yi, Leber, & Chun, 2007).”
BackgroundBoth attention and prediction are necessary for adaptive neuronal tuning in sensory processing
Hsu, Y., Hämäläinen, J. A., & Waszak, F. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00152 · Cited by 71 · see citing works
Liberto, G. M. D., Crosse, M. J., & Lalor, E. C. (2018) · eNeuro · doi:10.1523/eneuro.0084-18.2018 · Cited by 71 · see citing works
“On the other hand, the suppression may be a consequence of top-down predictions and could be explained via the theory of predictive coding (Summerfield et al., 2008; Todorovic et al., 2011).”
BackgroundThe NOLB model: a model of the natural organization of language and the brain
Skipper, J. I. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781107323667.006 · Cited by 69 · see citing works
Mechanisms of adaptation in human auditory cortex
Lanting, C., Briley, P. M., Sumner, C. J., & Krumbholz, K. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00547.2012 · Cited by 69 · see citing works
“…at least in human macroscopic brain responses, is stronger for expected than for unexpected stimuli (Costa-Faidella et al. 2011; Lange 2009; Summerfield et al. 2008; Todorovic et al. 2011; Wacongne et al. 2011; however, see Farley et al. 2010 for contrary evidence in animal multiunit recordings).”
BackgroundTask relevance modulates the behavioural and neural effects of sensory predictions
Auksztulewicz, R., Friston, K. J., & Nobre, A. C. (2017) · PLoS Biology · doi:10.1371/journal.pbio.2003143 · Cited by 69 · see citing works
“A boost of gamma oscillations at the expense of lower frequencies [51,52] has often been reported as a correlate of predictability of targets [9,15,50,53,54].”
BackgroundResultPrior expectations induce pre-stimulus sensory templatesPreprint
Kok, P., Mostert, P., & de Lange, F. P. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/119073 · Cited by 69 · see citing works
“…have found an increased neural response to unexpected stimuli (Summerfield et al., 2008;den Ouden et al., 2009;Alink et al., 2010;Meyer and Olson, 2011;Todorovic et al., 2011;Wacongne et al., 2011), including some using an almost identical paradigm as the current study (Kok et al., 2012, 2016b).”
Hsu, Y., Bars, S. L., Hämäläinen, J. A., & Waszak, F. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2204-15.2015 · Cited by 67 · see citing works
“…size of adaptation effect on hemodynamic responses (visual: Summerfield et al., 2008; Kovács et al., 2012; Grotheer and Kovács, 2014; Mayrhauser et al., 2014; auditory: Andics et al., 2013) and electrophysiological responses (visual: Summerfield et al., 2011; auditory: Todorovic et al., 2011).”
BackgroundThe Cumulative Effects of Predictability on Synaptic Gain in the Auditory Processing Stream
Auksztulewicz, R., Barascud, N., Cooray, G., Nobre, A. C., Chait, M., & Friston, K. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0291-17.2017 · Cited by 55 · see citing works
“…higher frequencies under predictable stimulation conditions is consistent with previous reports of gammaband synchronization and alpha-band desynchronization due to contextual predictability (Arnal et al., 2011; Todorovic et al., 2011; Bauer et al., 2014; Brodski et al., 2015; Sedley et al., 2016).”
BackgroundResultAltered temporal dynamics of neural adaptation in the aging human auditory cortex
Herrmann, B., Henry, M. J., Johnsrude, I. S., & Obleser, J. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.05.006 · Cited by 61 · see citing works
“Whether neural adaptation mechanistically supports the generation of sensory predictions is a question that requires further studies in which manipulation of predictability are not confounded with physical stimulus manipulations (see also Todorovic et al., 2011).”
BackgroundMovement and VIP Interneuron Activation Differentially Modulate Encoding in Mouse Auditory Cortex
Bigelow, J., Morrill, R. J., DeKloe, J., & Hasenstaub, A. R. (2019) · eNeuro · doi:10.1523/eneuro.0164-19.2019 · Cited by 66 · see citing works
“Although response attenuation in self-generation paradigms is partially attributable to expectation-related feedback (Todorovic et al., 2011; Rummell et al., 2016), recent experiments suggest that it also depends at least in part on independent feedback generated by motor responses (Rummell et al.”
BackgroundBendixen, A., Scharinger, M., Strauß, A., & Obleser, J. (2014) · Cortex · doi:10.1016/j.cortex.2014.01.001 · Cited by 66 · see citing works
“Interestingly, for tonal material it has recently been revealed that the supposedly simple mechanism of repetition suppression at least partly reflects higher-level predictions rather than just physical effects (Todorovic et al., 2011).”
Cornella, M., Leung, S., Grimm, S., & Escera, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043604 · Cited by 65 · see citing works
“when presenting pairs of tones), than when they are unexpected, suggesting the role of top-down expectations [46].”
BackgroundRepetition, expectation, and the perception of time
Matthews, W. J., & Gheorghiu, A. I. (2016) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2016.02.019 · Cited by 65 · see citing works
Reduced auditory cortical adaptation in autism spectrum disorder
Millin, R., Kolodny, T., Flevaris, A. V., Kale, A. M., Schallmo, M.-P., Gerdts, J., Bernier, R. A., & Murray, S. (2018) · eLife · doi:10.7554/elife.36493 · Cited by 64 · see citing works
“For example, auditory adaptation in response to repeated sounds is larger for expected versus unexpected stimuli (Todorovic et al., 2011).”
BackgroundPrior context in audition informs binding and shapes simple features
Chambers, C., Akram, S., Adam, V., Pelofi, C., Sahani, M., Shamma, S., & Pressnitzer, D. (2017) · Nature Communications · doi:10.1038/ncomms15027 · Cited by 63 · see citing works
Lamina-specific cortical dynamics in human visual and sensorimotor cortices
Bonaiuto, J. J., Meyer, S. S., Little, S. J., Rossiter, H. E., Callaghan, M. F., Dick, F., Barnes, G. R., & Bestmann, S. (2018) · eLife · doi:10.7554/elife.33977 · Cited by 62 · see citing works
Nickel, M. M., Tiemann, L., Hohn, V. D., May, E. S., Ávila, C. G., Eippert, F., & Ploner, M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116616119 · Cited by 56 · see citing works
“the opportunity to not only detect non–phase-locked oscillatory responses but to also to record phase-locked evoked responses and to determine their role in signaling sensory information, expectations, and PEs as previously done in other modalities (59, 60).”
ResultTemporal Context Actively Shapes EEG Signatures of Time Perception
Damsma, A., Schlichting, N., & van Rijn, H. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0628-20.2021 · Cited by 59 · see citing works
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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