Classical and controlled auditory mismatch responses to multiple physical deviances in anaesthetised and conscious mice

O’Reilly, Jamie A.; Conway, B.A.

doi:10.1111/ejn.15072

Cited by 22 publications

(31 citation statements)

References 94 publications

(154 reference statements)

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“…Much of the relevant animal literature has ascribed differences observed between deviant and standard or deviant and control responses to mechanisms of deviance detection, generally in agreement with the prevailing hypothesis that dominates the human MMN literature [14,69,76]. There are few counterexamples [27,43,77,78]. Curiously, the animal studies that support the deviance detection theory tend to report widely varying latency ranges and waveform morphologies [79], which may raise questions regarding the legitimacy of their conclusions.…”

Section: Electrophysiologymentioning

confidence: 70%

“…(2) state changes, long-term adaptation or auditory habituation (collectively referred to as adaptation for the remainder of this article) obscure direct comparisons between auditory responses observed during different stimulus blocks [27,[39][40][41][42][43]. This adaptation refers generally to changes in responsiveness to auditory stimulation, opposed to SSA which refers to repetition suppression of the response to an identical stimulus; however, it is not discounted that these adaptive processed are potentially related.…”

Section: Sensory Processing Theorymentioning

confidence: 99%

“…By comparing the response to deviant stimuli in the oddball paradigm with its physically identical but contextually different counterpart in the many-standards control paradigm, differences between the two are often interpreted as evidence of true deviance-detection MMN. Unfortunately, these assertions fail to recognize that adaptation can affect responses to auditory stimuli presented in different stimulus blocks [1,[39][40][41]43]. Adaptation can cause intrinsic auditory evoked responses elicited by physically identical stimuli to decrease in magnitude across successive stimulus blocks, regardless of their context within oddball or control paradigms.…”

Section: Control Paradigmsmentioning

confidence: 99%

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A Critical Review of the Deviance Detection Theory of Mismatch Negativity

O’Reilly

2021

NeuroSci

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Mismatch negativity (MMN) is a component of the difference waveform derived from passive auditory oddball stimulation. Since its inception in 1978, this has become one of the most popular event-related potential techniques, with over two-thousand published studies using this method. This is a testament to the ingenuity and commitment of generations of researchers engaging in basic, clinical and animal research. Despite this intensive effort, high-level descriptions of the mechanisms theorized to underpin mismatch negativity have scarcely changed over the past four decades. The prevailing deviance detection theory posits that MMN reflects inattentive detection of difference between repetitive standard and infrequent deviant stimuli due to a mismatch between the unexpected deviant and a memory representation of the standard. Evidence for these mechanisms is inconclusive, and a plausible alternative sensory processing theory considers fundamental principles of sensory neurophysiology to be the primary source of differences between standard and deviant responses evoked during passive oddball stimulation. By frequently being restated without appropriate methods to exclude alternatives, the potentially flawed deviance detection theory has remained largely dominant, which could lead some researchers and clinicians to assume its veracity implicitly. It is important to have a more comprehensive understanding of the source(s) of MMN generation before its widespread application as a clinical biomarker. This review evaluates issues of validity concerning the prevailing theoretical account of mismatch negativity and the passive auditory oddball paradigm, highlighting several limitations regarding its interpretation and clinical application.

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Section: Electrophysiologymentioning

confidence: 70%

Section: Sensory Processing Theorymentioning

confidence: 99%

Section: Control Paradigmsmentioning

confidence: 99%

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A Critical Review of the Deviance Detection Theory of Mismatch Negativity

O’Reilly

2021

NeuroSci

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“…Finally, O'Reilly and O'Reilly ( 2021 ) argued that equiprobable sequence would be an insufficient control because of long-term adaptation. The authors added that counterbalanced blocks would confound adaptation effects rather than eliminate them (O'Reilly and Conway, 2021 ; O'Reilly and O'Reilly, 2021 ). Accordingly, actual MMN paradigm, at least in the auditory domain, would not properly enable inferences about deviance detection and predictive coding because of state changes that can affect sensory responses.…”

Section: Discussionmentioning

confidence: 99%

The Predictive Role of Low Spatial Frequencies in Automatic Face Processing: A Visual Mismatch Negativity Investigation

Lacroix

Harquel

Mermillod

et al. 2022

Front. Hum. Neurosci.

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Visual processing is thought to function in a coarse-to-fine manner. Low spatial frequencies (LSF), conveying coarse information, would be processed early to generate predictions. These LSF-based predictions would facilitate the further integration of high spatial frequencies (HSF), conveying fine details. The predictive role of LSF might be crucial in automatic face processing, where high performance could be explained by an accurate selection of clues in early processing. In the present study, we used a visual Mismatch Negativity (vMMN) paradigm by presenting an unfiltered face as standard stimulus, and the same face filtered in LSF or HSF as deviant, to investigate the predictive role of LSF vs. HSF during automatic face processing. If LSF are critical for predictions, we hypothesize that LSF deviants would elicit less prediction error (i.e., reduced mismatch responses) than HSF deviants. Results show that both LSF and HSF deviants elicited a mismatch response compared with their equivalent in an equiprobable sequence. However, in line with our hypothesis, LSF deviants evoke significantly reduced mismatch responses compared to HSF deviants, particularly at later stages. The difference in mismatch between HSF and LSF conditions involves posterior areas and right fusiform gyrus. Overall, our findings suggest a predictive role of LSF during automatic face processing and a critical involvement of HSF in the fusiform during the conscious detection of changes in faces.

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“…Auditory novelty responses have been studied extensively in basic, clinical, and preclinical animal investigations, although despite this there remains substantial debate concerning their underlying neurophysiology (May, 2021; May and Tiitinen, 2010; Näätänen et al, 2005; O’Reilly et al, 2021). This stems from confounds or alternative explanations for differences between responses to sequences of physically different stimuli that have been challenging to completely dissociate, such as adaptation (May, 2021; May and Tiitinen, 2010) or the inherent modulation of overlapping ERP components by the physical properties of sounds (O’Reilly et al, 2021; O’Reilly and Conway, 2021; Takegata et al, 2008; Todd et al, 2008). In the present study, we revisit data recorded from anaesthetised mice to ask how cortical auditory reflexes in this preparation encode violations of sensory expectations during passive frequency and intensity oddball paradigms.…”

Section: Introductionmentioning

confidence: 99%

Decoding violated sensory expectations from the auditory cortex of anaesthetized mice: Hierarchical recurrent neural network depicts separate ‘danger’ and ‘safety’ units

O’Reilly¹,

Angsuwatanakul²,

Wehrman

2022

Preprint

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The ability to respond appropriately to sensory information received from the external environment is among the most fundamental capabilities of central nervous systems. In the auditory domain, processes underlying this behaviour are studied by measuring auditory-evoked electrophysiology during sequences of sounds with predetermined regularities. Identifying neural correlates of ensuing auditory novelty responses is supported by research in experimental animals. In the present study, we reanalysed epidural field potential recordings from the auditory cortex of anaesthetised mice during frequency and intensity oddball stimulation. Multivariate pattern analysis (MVPA) and hierarchical recurrent neural network (RNN) modelling were adopted to explore these data with greater resolution than previously considered using conventional methods. Time-wise and generalised temporal decoding MVPA approaches revealed previously underestimated asymmetry between responses to sound-level transitions in the intensity oddball paradigm, in contrast with tone frequency changes. After training, the cross-validated RNN model architecture with four hidden layers produced output waveforms in response to simulated auditory inputs that were strongly correlated with grand-average auditory-evoked potential waveforms (r2 > 0.9). Units in hidden layers were classified based on their temporal response properties and characterised using principal component analysis and sample entropy. These demonstrated spontaneous alpha rhythms, sound onset and offset responses, and putative 'safety' and 'danger' units activated by relatively inconspicuous and salient changes in auditory inputs, respectively. The hypothesised existence of corresponding biological neural sources is naturally derived from this model. If proven, this would have significant implications for prevailing theories of auditory processing.

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Classical and controlled auditory mismatch responses to multiple physical deviances in anaesthetised and conscious mice

Cited by 22 publications

References 94 publications

A Critical Review of the Deviance Detection Theory of Mismatch Negativity

A Critical Review of the Deviance Detection Theory of Mismatch Negativity

The Predictive Role of Low Spatial Frequencies in Automatic Face Processing: A Visual Mismatch Negativity Investigation

Decoding violated sensory expectations from the auditory cortex of anaesthetized mice: Hierarchical recurrent neural network depicts separate ‘danger’ and ‘safety’ units

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