Evidence from auditory and visual event-related potential (ERP) studies of deviance detection (MMN and vMMN) linking predictive coding theories and perceptual object representations

Winkler, István; Czigler, István

doi:10.1016/j.ijpsycho.2011.10.001

Cited by 222 publications

(175 citation statements)

References 194 publications

(268 reference statements)

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“…According to recent theories, the (auditory) MMN and vMMN are considered to be error signals that are generated by the discrepancy between the bottom-up flow of information and predictions represented within subsequent processing structures (e.g., Garrido et al, 2009;Kimura et al, 2011, Stefanics et al, 2011Wacongne et al, 2012;Winkler and Czigler, 2012;. According to the predictive coding approach, bottom-up evidence is combined with prior knowledge, and at each level of the hierarchical system, there is a search for a correspondence between bottom-up information and top-down predictions (e.g., Friston, 2005).…”

Section: Discussionmentioning

confidence: 99%

Asymmetry of automatic change detection shown by the visual mismatch negativity: An additional feature is identified faster than missing features

Czigler

Sulykos

Kecskés-Kovács

2013

Cogn Affect Behav Neurosci

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Section: Discussionmentioning

confidence: 99%

Asymmetry of automatic change detection shown by the visual mismatch negativity: An additional feature is identified faster than missing features

Czigler

Sulykos

Kecskés-Kovács

2013

Cogn Affect Behav Neurosci

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“…Within this framework MMN can be considered a prediction-error signal (for a discussion of the relation of MMN to predictive coding theories, see Winkler and Czigler 2012). MMN indicates that an auditory input differs from predicted causes and signals the need for two related actions: firstly, the model has proven inaccurate and therefore requires updating (Winkler et al 1996;Winkler 2007), and second, the environment has changed in some way that might require a change in ongoing behaviour (Näätänen 1990;Schröger 1997;Näätänen et al 2011).…”

Section: Mismatch Negativitymentioning

confidence: 99%

What controls gain in gain control? Mismatch negativity (MMN), priors and system biases

et al. 2013

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“…On the other hand, MMN responses are increasingly considered as automatic bottom-up prediction error signals (Friston, 2005(Friston, , 2010Stefanics, Kimura, et al, 2011;Stefanics et al, 2014;Winkler, 2007), the neural correlates of updating of generative models of the environment by plastic changes in synaptic weights after the violation of the model's prediction by an unexpected event, i.e., a deviant stimulus. These generative models can be viewed as hierarchical representations of observed events of the environment, similar to predictive perceptual object representations suggested by Winkler and Czigler (2012).…”

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confidence: 97%

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

Kremláček

Kreegipuu

Tales

et al. 2016

Cortex

122

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The visual mismatch negativity (vMMN) response is an event-related potential (ERP) component, which is automatically elicited by events that violate predictions based on prior events. VMMN experiments use visual stimulus repetition to induce predictions, and vMMN is obtained by subtracting the response to rare unpredicted stimuli from those to frequent stimuli. One increasingly popular interpretation of the mismatch response postulates that vMMN, similar to its auditory counterpart (aMMN), represents a prediction error response generated by cortical mechanisms forming probabilistic representations of sensory signals. Here we discuss the physiological and theoretical basis of vMMN and review thirty-three studies from the emerging field of its clinical applications, presenting a meta-analysis of findings in schizophrenia, mood disorders, substance abuse, neurodegenerative disorders, developmental disorders, deafness, panic disorder and hypertension. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensory modality and thus of vital importance in environmental information processing and response, and a modality which arguably may be more sensitive to some pathological changes. However, due to the relative infancy of research in vMMN compared to aMMN in clinical populations its potential for clinical application is not yet fully appreciated. The aim of this review and meta-analysis therefore is to present, in a detailed systematic manner, the findings from clinically-based vMMN studies, to discuss their potential impact and application, to raise awareness of this measure and to improve our understanding of disease upon fundamental aspects of visual information processing. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensor...

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Evidence from auditory and visual event-related potential (ERP) studies of deviance detection (MMN and vMMN) linking predictive coding theories and perceptual object representations

Cited by 222 publications

References 194 publications

Asymmetry of automatic change detection shown by the visual mismatch negativity: An additional feature is identified faster than missing features

Asymmetry of automatic change detection shown by the visual mismatch negativity: An additional feature is identified faster than missing features

What controls gain in gain control? Mismatch negativity (MMN), priors and system biases

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

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