Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: A review

Tada, Mariko; Kirihara, Kazuhiro; Mizutani, Shunsuke; Uka, Takanori; Kunii, Naoto; Koshiyama, Daisuke; Fujioka, Masahiro; Usui, Kaori; Nagai, Tatsuo; Araki, Tsuyoshi; Kasai, Kiyoto

doi:10.1016/j.ijpsycho.2019.02.009

Cited by 56 publications

(51 citation statements)

References 118 publications

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“…In general, the fact that ''deviant'' stimuli in the ''oddball'' paradigm elicit an enhanced response in sensory cortex matches well with results obtained across multiple sensory modalities and from several species (Featherstone et al, 2018;Tada et al, 2019) including non-human primates (Javitt et al, 1992;Ueno et al, 2008;Komatsu et al, 2015), rats (Nakamura et al, 2011;Shiramatsu et al, 2013;Harms et al, 2014), and mice (Umbricht et al, 2005;Ehrlichman et al, 2008;Chen et al, 2015), suggesting that the oddball paradigm is well suited for studying contextual modulation of sensory cortical responses in both human and animal studies and that underlying mechanisms are likely conserved across sensory modality. Still, establishing a one-to-one correspondence of gross-level brain potentials/waves (such as the N1, P2, and MMN) between humans and animals (Ehrlichman et al, 2008), and even between sensory modality within human samples (Kremlacek et al, 2016), has not been straightforward.…”

Section: The "Oddball" Paradigmsupporting

confidence: 70%

“…MMN is an event-related potential (ERP) wherein a more negative scalp potential (occurring about 150 ms post-stimulus onset) is elicited by the ''deviant'' stimulus than by the ''redundant'' stimulus in an oddball paradigm (Figures 2A-C). Diminished or absent MMN is a classic, highly replicated biomarker for sensory context processing deficits common in schizophrenia (SZ) and other psychotic disorders (Näätänen et al, 2011(Näätänen et al, , 2014Lavoie et al, 2019;Tada et al, 2019), so efforts to describe the biological substrates and mechanisms of human MMN remain paramount. Indeed, some progress has been made to understand MMN generation (Garrido et al, 2009), but confoundingly, MMN comprises both SSA and DD ( Figure 2E).…”

Section: Introductionmentioning

confidence: 99%

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Cortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents

Ross

Hamm

2020

Front. Neural Circuits

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Section: The "Oddball" Paradigmsupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Cortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents

Ross

Hamm

2020

Front. Neural Circuits

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“…The many-standard paradigm was developed as a control paradigm to eliminate the adaptation effect (N1) from MMN. A simple “many-standard” control consisted of a sequence of tones [e.g., varied in pitch but fixed duration, loudness and onset-to-onset intervals ( 78 , 101 – 104 )]. Two of the tones were matched with the pitch of the standard and deviant tone using in a classical oddball respectively, while the rest of tones have a random pitch.…”

Section: Various Forms Of Oddball Paradigmmentioning

confidence: 99%

“…Reduced auditory MMN ( 104 , 112 – 115 ), magnetic auditory MMN ( 116 , 117 ) and visual MMN ( 118 , 119 ) in a classic oddball paradigm is commonly observed on patients suffered from psychotic disorders. MMN also has the greatest effect size as a biomarker for schizophrenia amongst P50, N100, and P300 ( 120 ).…”

Section: Mismatch Negativity In Schizophreniamentioning

confidence: 99%

Auditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders

et al. 2020

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Traditional neuroscience sees sensory perception as a simple feedforward process. This view is challenged by the predictive coding model in recent years due to the robust evidence researchers had found on how our prediction could influence perception. In the first half of this article, we reviewed the concept of predictive brain and some empirical evidence of sensory prediction in visual and auditory processing. The predictive function along the auditory pathway was mainly studied by mismatch negativity (MMN)—a brain response to an unexpected disruption of regularity. We summarized a range of MMN paradigms and discussed how they could contribute to the theoretical development of the predictive coding neural network by the mechanism of adaptation and deviance detection. Such methodological and conceptual evolution sharpen MMN as a tool to better understand the structural and functional brain abnormality for neuropsychiatric disorder such as schizophrenia.

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“…Especially, auditory steady-state response (ASSR) (15,16) and mismatch negativity (MMN) [e.g. (17,18)] have been studied as more robust probes of abnormal auditory information processing in schizophrenia. ASSR is an electrophysiological response entrained to the frequency and the phase of periodic auditory stimuli, and is most evident when stimuli are presented in the gamma frequency range 30-50 Hz in humans (19).…”

Section: Introductionmentioning

confidence: 99%

Effects of Ketamine Administration on Auditory Information Processing in the Neocortex of Nonhuman Primates

Komatsu

Ichinohe

2020

Front. Psychiatry

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Ketamine, an N-methyl-D-aspartate (NMDA) receptor antagonist, exerts broad effects on consciousness and perception. Since NMDA receptor antagonists induce cognitive impairments, ketamine has been used for translational research on several psychiatric diseases, such as schizophrenia. Whereas the effects of ketamine on cognitive functions have been extensively studied, studies on the effects of ketamine on simple sensory information processing remain limited. In this study, we investigated the cortex-wide effects of ketamine administration on auditory information processing in nonhuman primates using whole-cortical electrocorticography (ECoG). We first recorded ECoG from awake monkeys on presenting auditory stimuli of different frequencies or different durations. We observed auditory evoked responses (AERs) across the cortex, including in frontal, parietal, and temporal areas, while feature-specific responses were obtained around the temporal sulcus. Next, we examined the effects of ketamine on cortical auditory information processing. We conducted ECoG recordings from monkeys that had been administered anesthetic doses of ketamine from 10 to 180 min following administration. We observed significant changes in stimulus feature-specific responses. Electrodes showing a frequency preference or offset responses were altered following ketamine administration, while those of the AERs were not strongly influenced. However, the frequency preference of a selected electrode was not significantly altered by ketamine administration over time following administration, while the imbalances in the onset and offset persisted over the course of 150 min following ketamine administration in all three monkeys. These results suggest that ketamine affects the ability to distinguish between sound frequency and duration in different ways. In conclusion, future research on the NMDA sensitivity of cortical wide sensory information processing may provide a new perspective into the development of nonhuman primate models of psychiatric disorders.

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Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: A review

Cited by 56 publications

References 118 publications

Cortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents

Cortical Microcircuit Mechanisms of Mismatch Negativity and Its Underlying Subcomponents

Auditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders

Effects of Ketamine Administration on Auditory Information Processing in the Neocortex of Nonhuman Primates

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