The sound of silence: Predictive error responses to unexpected sound omission in adults

Prete, David A; Heikoop, David; McGillivray, Joshua; Reilly, J.P.; Trainor, Laurel J.

doi:10.1111/ejn.15660

Cited by 9 publications

(15 citation statements)

References 92 publications

(169 reference statements)

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“…The MMN has been reported in response to abstract rule violations (Paavilainen 2013), unexpected stimulus repetitions (Alain 1999; Horvath 2004; Macdonald 2011) and unexpected stimulus omissions (Yabe 1997; Hughes 2001; Salisbury 2012 Wacongne 2011; Heilbron 2018). Similar characteristics have been reported for P3 MMRs (Duncan 2009; Prete 2022) and both MMN and P3 responses have been shown to increase for unexpected compared to expected deviants (Sussman 1998; 2005; Schroeger 2015). Insights concerning the predictive nature of mismatch responses have led to further development of the memory-based account of MMN generation into the model-adjustment hypothesis (Winkler 2007).…”

Section: Introductionsupporting

confidence: 77%

“…Separate ANOVAs were applied to deviants and standards. We hypothesized that the cross-modal P3 MMR might be sensitive to multisensory predictive information in the sequence, as the P3 has been shown to be sensitive to global sequence statistics (Wancongne 2011; Bekinschtein 2009) and to be modulated by stimulus predictability (Ritter 1999; Sussman 2003; Horvath 2008; Horvath 2012; Max 2015; Prete 2022). Indeed, within the common P3 cluster, both deviants (299-313ms, peak p fwe <0.05) and standards (316-332ms, peak p fwe <0.05) show significant differences between predictability conditions.…”

Section: Resultsmentioning

confidence: 99%

“…While the P3a has been initially related to attentional switches to task-irrelevant but salient stimulus features (Escera 2000; Friedman 2001; Polich 2007), more recent accounts suggest that the MMN and P3a might reflect two stages of a predictive hierarchy, each representing (potentially differentiable) prediction error responses (Wacongne 2011; Schroeger 2015). Similar to the MMN, P3 responses are known to be modulated by stimulus probability (Duncan-Johnson 1977) and can be elicited by unexpected stimulus repetitions (Squires 1976; Duncan 2009) and omissions of predicted sound stimuli (Sutton 1967; Prete 2022), which provides compelling evidence for a role of the P3 in predictive processing. Similar to the MMN responses described above, we found the individual P3 MMR responses in all three modalities to show reciprocal modulations of standards and deviants by stimulus repetition, which has previously only been reported for the auditory modality (Bendixen 2007).…”

Section: Discussionmentioning

confidence: 97%

Section: Cross-modal P3 Effectsmentioning

confidence: 99%

“…and omissions of predicted sound stimuli(Sutton 1967;Prete 2022), which provides compelling evidence for a role of the P3 in predictive processing. Similar to the MMN responses described above, we found the individual P3 MMR responses in all three modalities to show reciprocal modulations of standards and deviants by stimulus repetition, which has previously only been reported for the auditory modality(Bendixen 2007).…”

mentioning

confidence: 97%

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EEG mismatch responses in a multi-modal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation and vision

Grundei

Schroeder

Gijsen

et al. 2022

Preprint

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The human brain is constantly subjected to a multi-modal stream of probabilistic sensory inputs. EEG signatures, such as the mismatch negativity (MMN) and the P3, can give valuable insight into neuronal probabilistic inference. Although reported for different modalities, mismatch responses have largely been studied in isolation, with a strong focus on the auditory MMN. To investigate the extent to which early and late mismatch responses across modalities represent comparable signatures of uni- and cross-modal probabilistic inference in the hierarchically structured cortex, we recorded EEG from 32 participants undergoing a novel tri-modal roving stimulus paradigm. The employed sequences consisted of high and low intensity stimuli in the auditory, somatosensory and visual modalities and were governed by uni-modal transition probabilities and cross-modal conditional dependencies. We found modality specific signatures of MMN (~100-200ms) in all three modalities, which were source localized to the respective sensory cortices and shared right lateralized pre-frontal sources. Additionally, we identified a cross-modal signature of mismatch processing in the P3a time range (~300-350ms), for which a common network with frontal dominance was found. Across modalities, the mismatch responses showed highly comparable parametric effects of stimulus train length, which were driven by standard and deviant response modulations in opposite directions. Strikingly, the P3a responses across modalities were increased for mispredicted compared to predicted and unpredictable stimuli, suggesting sensitivity to cross-modal predictive information. Finally, model comparisons indicated that the observed single trial dynamics were best captured by Bayesian learning models tracking uni-modal stimulus transitions as well as cross-modal conditional dependencies.

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Section: Introductionsupporting

confidence: 77%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 97%

Section: Cross-modal P3 Effectsmentioning

confidence: 99%

mentioning

confidence: 97%

See 3 more Smart Citations

EEG mismatch responses in a multi-modal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation and vision

Grundei

Schroeder

Gijsen

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

EEG mismatch responses in a multimodal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation, and vision

Grundei

Schröder

Gijsen

et al. 2023

Human Brain Mapping

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The human brain is constantly subjected to a multimodal stream of probabilistic sensory inputs. Electroencephalography (EEG) signatures, such as the mismatch negativity (MMN) and the P3, can give valuable insight into neuronal probabilistic inference. Although reported for different modalities, mismatch responses have largely been studied in isolation, with a strong focus on the auditory MMN. To investigate the extent to which early and late mismatch responses across modalities represent comparable signatures of uni‐ and cross‐modal probabilistic inference in the hierarchically structured cortex, we recorded EEG from 32 participants undergoing a novel tri‐modal roving stimulus paradigm. The employed sequences consisted of high and low intensity stimuli in the auditory, somatosensory and visual modalities and were governed by unimodal transition probabilities and cross‐modal conditional dependencies. We found modality specific signatures of MMN (~100–200 ms) in all three modalities, which were source localized to the respective sensory cortices and shared right lateralized prefrontal sources. Additionally, we identified a cross‐modal signature of mismatch processing in the P3a time range (~300–350 ms), for which a common network with frontal dominance was found. Across modalities, the mismatch responses showed highly comparable parametric effects of stimulus train length, which were driven by standard and deviant response modulations in opposite directions. Strikingly, P3a responses across modalities were increased for mispredicted stimuli with low cross‐modal conditional probability, suggesting sensitivity to multimodal (global) predictive sequence properties. Finally, model comparisons indicated that the observed single trial dynamics were best captured by Bayesian learning models tracking unimodal stimulus transitions as well as cross‐modal conditional dependencies.

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A multimodal cortical network of sensory expectation violation revealed by fMRI

Grundei,

Schmidt,

Blankenburg

2023

Human Brain Mapping

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The brain is subjected to multi‐modal sensory information in an environment governed by statistical dependencies. Mismatch responses (MMRs), classically recorded with EEG, have provided valuable insights into the brain's processing of regularities and the generation of corresponding sensory predictions. Only few studies allow for comparisons of MMRs across multiple modalities in a simultaneous sensory stream and their corresponding cross‐modal context sensitivity remains unknown. Here, we used a tri‐modal version of the roving stimulus paradigm in fMRI to elicit MMRs in the auditory, somatosensory and visual modality. Participants (N = 29) were simultaneously presented with sequences of low and high intensity stimuli in each of the three senses while actively observing the tri‐modal input stream and occasionally reporting the intensity of the previous stimulus in a prompted modality. The sequences were based on a probabilistic model, defining transition probabilities such that, for each modality, stimuli were more likely to repeat (p = .825) than change (p = .175) and stimulus intensities were equiprobable (p = .5). Moreover, each transition was conditional on the configuration of the other two modalities comprising global (cross‐modal) predictive properties of the sequences. We identified a shared mismatch network of modality general inferior frontal and temporo‐parietal areas as well as sensory areas, where the connectivity (psychophysiological interaction) between these regions was modulated during mismatch processing. Further, we found deviant responses within the network to be modulated by local stimulus repetition, which suggests highly comparable processing of expectation violation across modalities. Moreover, hierarchically higher regions of the mismatch network in the temporo‐parietal area around the intraparietal sulcus were identified to signal cross‐modal expectation violation. With the consistency of MMRs across audition, somatosensation and vision, our study provides insights into a shared cortical network of uni‐ and multi‐modal expectation violation in response to sequence regularities.

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The sound of silence: Predictive error responses to unexpected sound omission in adults

Cited by 9 publications

References 92 publications

EEG mismatch responses in a multi-modal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation and vision

EEG mismatch responses in a multi-modal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation and vision

EEG mismatch responses in a multimodal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation, and vision

A multimodal cortical network of sensory expectation violation revealed by fMRI

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