Alterations of complex mismatch negativity (cMMN) elicited by a two-tone pattern paradigm in early-phase psychosis

Ells, Emma M.L.; Rudolph, Erica D.; Petley, Lauren; Abriel, Shelagh C.; Campbell, Debra J.; Tibbo, Philip G.; Fisher, Derek J.

doi:10.1016/j.biopsycho.2018.03.010

Cited by 8 publications

(5 citation statements)

References 64 publications

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“…. ), the repetition of one of the tones (ABABABBA or ABABABAA) prompts an MMN in human participants (Alain, Woods, & Ogawa, 1994;Cornella, Leung, Grimm, & Escera, 2012;Ells et al, 2018;Nordby, Roth, & Pfefferbaum, 1988;Saarinen et al, 1992;Sculthorpe, Collin, & Campbell, 2008;Todorovic, van Ede, Maris, & de Lange, 2011). Likewise, in the so-called local/global paradigm, a token consisting of an arrangement of several tones (e.g., AAAB, being A a local standard and B a local deviant) repeats over time.…”

Section: Adaptation or Modeling? Different Ways Of Understanding Devi...mentioning

confidence: 99%

“…Beyond the classical oddball paradigm, adaptation seems also insufficient to explain how an MMN can be generated by the violation of regularities established by patterns more complex than sheer one-stimulus repetition ( Heilbron & Chait, 2017 ). For example, in a two-tone pattern or alternation sequence (ABABABAB…), the repetition of one of the tones (ABABAB B A or ABABABA A ) prompts an MMN in human participants ( Alain, Woods, & Ogawa, 1994 ; Cornella, Leung, Grimm, & Escera, 2012 ; Ells et al., 2018 ; Nordby, Roth, & Pfefferbaum, 1988 ; Saarinen et al., 1992 ; Sculthorpe, Collin, & Campbell, 2008 ; Todorovic, van Ede, Maris, & de Lange, 2011 ). Likewise, in the so-called local/global paradigm, a token consisting of an arrangement of several tones (e.g., AAAB, being A a local standard and B a local deviant ) repeats over time.…”

Section: Introduction: Ssa and Mmn Two Faces Of Deviance Detectionmentioning

confidence: 99%

“…The computational feature behind deviance detection is currently thought to be foundation and trigger of higher order cognitive functions (Näätänen, Astikainen, Ruusuvirta, & Huotilainen, 2010) such as attention (Fritz, Elhilali, David, & Shamma, 2007; Sussman, Winkler, & Wang, 2003) and memory (Bartha-Doering, Deuster, Giordano, am Zehnhoff-Dinnesen, & Dobel, 2015; Ranganath & Rainer, 2003). Consequently, it is not surprising that MMN is not only disrupted in patients suffering from neurodevelopmental and psychiatric conditions, with a characteristically prominent reduction in schizophrenia (Baldeweg, Klugman, Gruzelier, & Hirsch, 2004; Damaso, Michie, & Todd, 2015; Ells et al., 2018; Fisher et al., 2018; Haigh et al., 2017; Javitt & Sweet, 2015; Joshi et al., 2018; Kantrowitz, Swerdlow, Dunn, & Vinogradov, 2018; Koshiyama et al., 2018; Näätänen & Kähkönen, 2009; Todd, Harms, Schall, & Michie, 2013), but also altered in other pathologies such as Parkinson’s disease (Brønnick, Nordby, Larsen, & Aarsland, 2010; Heldmann et al., 2017; Minks et al., 2014; Pekkonen, Jousmäki, Reinikainen, & Partanen, 1995; Seer, Lange, Georgiev, Jahanshahi, & Kopp, 2016; Solís-Vivanco et al., 2011), Alzheimer’s disease (Idrizbegovic, Hederstierna, & Rosenhall, 2016; Jiang et al., 2017; Papadaniil et al., 2016; Pekkonen, 2000; Pekkonen, Hirvonen, Jääskeläinen, Kaakkola, & Huttunen, 2001; Tsolaki et al., 2017), autism spectrum disorders (Goris et al., 2018; Hudac et al., 2018; Schwartz, Shinn-Cunningham, & Tager-Flusberg, 2018; Vlaskamp et al., 2017), and language impairments (Davids et al., 2011; Kujala & Leminen, 2017). Because of this, MMN has become a central tool in cognitive and clinical neuroscience (Bartha-Doering et al., 2015; Kujala, Tervaniemi, & Schröger, 2007; Näätänen, Paavilainen, Rinne, & Alho, 2007; Näätän...…”

Section: Introduction: Ssa and Mmn Two Faces Of Deviance Detectionmentioning

confidence: 99%

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The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection

2018

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In this review, we attempt to integrate the empirical evidence regarding stimulus-specific adaptation (SSA) and mismatch negativity (MMN) under a predictive coding perspective (also known as Bayesian or hierarchical-inference model). We propose a renewed methodology for SSA study, which enables a further decomposition of deviance detection into repetition suppression and prediction error, thanks to the use of two controls previously introduced in MMN research: the many-standards and the cascade sequences. Focusing on data obtained with cellular recordings, we explain how deviance detection and prediction error are generated throughout hierarchical levels of processing, following two vectors of increasing computational complexity and abstraction along the auditory neuraxis: from subcortical toward cortical stations and from lemniscal toward nonlemniscal divisions. Then, we delve into the particular characteristics and contributions of subcortical and cortical structures to this generative mechanism of hierarchical inference, analyzing what is known about the role of neuromodulation and local microcircuitry in the emergence of mismatch signals. Finally, we describe how SSA and MMN are occurring at similar time frame and cortical locations, and both are affected by the manipulation of N-methyl-D-aspartate receptors. We conclude that there is enough empirical evidence to consider SSA and MMN, respectively, as the microscopic and macroscopic manifestations of the same physiological mechanism of deviance detection in the auditory cortex. Hence, the development of a common theoretical framework for SSA and MMN is all the more recommendable for future studies. In this regard, we suggest a shared nomenclature based on the predictive coding interpretation of deviance detection.

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Section: Adaptation or Modeling? Different Ways Of Understanding Devi...mentioning

confidence: 99%

Section: Introduction: Ssa and Mmn Two Faces Of Deviance Detectionmentioning

confidence: 99%

Section: Introduction: Ssa and Mmn Two Faces Of Deviance Detectionmentioning

confidence: 99%

See 1 more Smart Citation

The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection

2018

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“…In light of this notion, studies utilizing complex stimuli in EPP have been conducted: Fisher et al (2019) [32] compared EPP and chronic schizophrenia patients with a complex vocal phoneme MMN paradigm and found significant MMN reductions within the chronic schizophrenia group relative to controls, but not in the EPP group. Ells et al [33] also examined the use of a complex two-tone MMN paradigm in individuals with EPP compared to HCs and did not observe significant group differences.…”

Section: Introductionmentioning

confidence: 99%

MMN and P3a Elicited by a Novelty Oddball Paradigm Are Not Reduced in Early-Phase Psychosis

et al. 2022

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Introduction: The present study compared the mismatch negativity (MMN) and P3a waveforms among early-phase psychosis (EPP; n = 13) individuals and healthy controls (n = 30) to contribute to the research on these waveforms as potential biomarkers for schizophrenia. Methods: MMN and P3a were elicited with a novelty paradigm using complex stimuli with electrophysiological technology. Results: No significant group differences of amplitude were observed with either waveform. Increased asociality and blunted affect were associated with a reduction in both MMN and P3a waveforms indicating a relationship between these negative symptoms and cognitive deficits. Good social and occupational functioning correlated with improved MMN and P3a waveforms in the EPP group. Conclusions: This study suggests that MMN and P3a may be more appropriately used as an indicator of illness progression and symptomology rather than a biomarker in the early phase of the illness.

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“…MMN amplitude reduction has been conceptualized to be associated with gray matter loss in the supra-temporal cortex, as well as widespread loss across the cortex ( 37 , 45 , 46 ). In addition, greater reductions of MMN amplitudes have been observed in later stages of illness ( 47 – 49 ). The reduction of MMN amplitudes can in part be attributed to the deficient functioning of N- methyl-D-aspartate (NMDA) glutamate receptor ( 50 – 52 ).…”

Section: Introductionmentioning

confidence: 99%

Interaction of Background Noise and Auditory Hallucinations on Phonemic Mismatch Negativity (MMN) and P3a Processing in Schizophrenia

et al. 2020

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Auditory hallucinations (AHs) are among the cardinal symptoms of schizophrenia (SZ). During the presence of AHs aberrant activity of auditory cortices have been observed, including hyperactivation during AHs alone and hypoactivation when AHs are accompanied by a concurrent external auditory competitor. Mismatch negativity (MMN) and P3a are common ERPs of interest within the study of SZ as they are robustly reduced in the chronic phase of the illness. The present study aimed to explore whether background noise altered the auditory MMN and P3a in those with SZ and treatmentresistant AHs. Methods: MMN and P3a were assessed in 12 hallucinating patients (HPs), 11 nonhallucinating patients (NPs) and 9 healthy controls (HCs) within an auditory oddball paradigm. Standard (P = 0.85) and deviant (P = 0.15) stimuli were presented during three noise conditions: silence (SL), traffic noise (TN), and wide-band white noise (WN). Results: HPs showed significantly greater deficits in MMN amplitude relative to NPs in all background noise conditions, though predominantly at central electrodes. Conversely, both NPs and HPs exhibited significant deficits in P3a amplitude relative to HCs under the SL condition only. Significance: These findings suggest that the presence of AHs may specifically impair the MMN, while the P3a appears to be more generally impaired in SZ. That MMN amplitudes are specifically reduced for HPs during background noise conditions suggests HPs may have a harder time detecting changes in phonemic sounds during situations with external traffic or "real-world" noise compared to NPs.

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Alterations of complex mismatch negativity (cMMN) elicited by a two-tone pattern paradigm in early-phase psychosis

Cited by 8 publications

References 64 publications

The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection

The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection

MMN and P3a Elicited by a Novelty Oddball Paradigm Are Not Reduced in Early-Phase Psychosis

Interaction of Background Noise and Auditory Hallucinations on Phonemic Mismatch Negativity (MMN) and P3a Processing in Schizophrenia

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