MMN in the visual modality: a review

Pazo-Álvarez, Paula; Cadaveira, Fernando; Amenedo, Elena

doi:10.1016/s0301-0511(03)00049-8

Cited by 270 publications

(211 citation statements)

References 110 publications

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“…The MMN, however, exists even when attention is directed away from the deviant stimulus (Heslenfeld, 2003;Pazo-Alvarez et al, 2003). From this definition it follows that the observed response in the present experiment is not a MMN because when the task is changed to direct attention away from the shape the observed negativity to deviant targets disappears (Fig.…”

Section: Relationship To Previous Event-related Potential (Erp) Studiesmentioning

confidence: 53%

The time course of shape discrimination in the human brain

et al. 2013

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The lateral occipital cortex (LOC) activates selectively to images of intact objects versus scrambled controls, is selective for the figure-ground relationship of a scene, and exhibits at least some degree of invariance for size and position. Because of these attributes, it is considered to be a crucial part of the object recognition pathway. Here we show that human LOC is critically involved in perceptual decisions about object shape. High-density EEG was recorded while subjects performed a threshold-level shape discrimination task on texture-defined figures segmented by either phase or orientation cues. The appearance or disappearance of a figure region from a uniform background generated robust visual evoked potentials throughout retinotopic cortex as determined by inverse modeling of the scalp voltage distribution. Contrasting responses from trials containing shape changes that were correctly detected (hits) with trials in which no change occurred (correct rejects) revealed stimulus-locked, target-selective activity in the occipital visual areas LOC and V4 preceding the subject's response. Activity that was locked to the subjects' reaction time was present in the LOC. Response-locked activity in the LOC was determined to be related to shape discrimination for several reasons: shape-selective responses were silenced when subjects viewed identical stimuli but their attention was directed away from the shapes to a demanding letter discrimination task; shape-selectivity was present across four different stimulus configurations used to define the figure; LOC responses correlated with participants' reaction times. These results indicate that decision-related activity is present in the LOC when subjects are engaged in threshold-level shape discriminations.

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Section: Relationship To Previous Event-related Potential (Erp) Studiesmentioning

confidence: 53%

The time course of shape discrimination in the human brain

et al. 2013

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“…MMN is resistant to manipulations of attention and states of wakefulness (Sculthorpe et al, 2009) even though these parameters can modulate its amplitude. An analog of MMN was described in visual (Tales et al, 1999;Pazo-Alvarez et al, 2003), olfactive (Krauel et al, 1999;Pause and Krauel, 2000), and somatosensory (Kekoni et al, 1997;Shinozaki et al, 1998) modalities, supporting a broad computational significance of MMN as a shared and automatic brain mechanism responsive to stimulus novelty.…”

Section: Introductionmentioning

confidence: 81%

“…As noted by Friston et al (2005), the closely similar neuronal architecture of cortical layers throughout the cerebral cortex supports the view that a similar computational principle of predictive coding may apply to the multiple hierarchical levels of the cortical areas of the brain. Thus, our model may be used to account for higher-order instances of mismatch responses, such as the distinct MMNs evoked by a change in phoneme versus speaker (Giard et al, 1995;Dehaene-Lambertz, 1997), or the mismatch responses observed outside the auditory modality, either in visual (Tales et al, 1999;Pazo-Alvarez et al, 2003), olfactive (Krauel et al, 1999;Pause and Krauel, 2000), and somatosensory (Kekoni et al, 1997;Shinozaki et al, 1998) modalities or even in a crossmodal context (Arnal et al, 2011).…”

Section: Extensions and Limits Of The Modelmentioning

confidence: 99%

A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity

Wacongne¹,

Changeux²,

Dehaene³

2012

J. Neurosci.

466

416

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The mismatch negativity (MMN) is thought to index the activation of specialized neural networks for active prediction and deviance detection. However, a detailed neuronal model of the neurobiological mechanisms underlying the MMN is still lacking, and its computational foundations remain debated. We propose here a detailed neuronal model of auditory cortex, based on predictive coding, that accounts for the critical features of MMN. The model is entirely composed of spiking excitatory and inhibitory neurons interconnected in a layered cortical architecture with distinct input, predictive, and prediction error units. A spike-timing dependent learning rule, relying upon NMDA receptor synaptic transmission, allows the network to adjust its internal predictions and use a memory of the recent past inputs to anticipate on future stimuli based on transition statistics. We demonstrate that this simple architecture can account for the major empirical properties of the MMN. These include a frequency-dependent response to rare deviants, a response to unexpected repeats in alternating sequences (ABABAA. . . ), a lack of consideration of the global sequence context, a response to sound omission, and a sensitivity of the MMN to NMDA receptor antagonists. Novel predictions are presented, and a new magnetoencephalography experiment in healthy human subjects is presented that validates our key hypothesis: the MMN results from active cortical prediction rather than passive synaptic habituation.

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“…The feature-specific elicitation of auditory MMN has been observed for various kinds of features such as frequency and stimulus onset asynchrony (SOA) (Levänen et al, 1993;Paavilainen et al, 2001), intensity and SOA (Paavilainen et al, 2001), frequency and duration (Levänen et al, 1993;Schröger, 1995, 2001), duration and intensity (Paavilainen et al, 2001;Schröger, 1995, 2001), frequency and location (Schröger, 1995), and location and the conjunction between frequency and intensity (Takegata et al, 1999) (but see also, e.g., Winkler et al, 1990). Although the counterpart of MMN in the visual modality has been discussed over the past few decades, it is still unclear whether a comparable MMN component exists in the visual modality (for review, see Pazo-Alvarez et al, 2003). In addition, visual MMN studies have not reported a feature-specific auditory MMN counterpart (Heslenfeld, 2003).…”

Section: Additivity Of Change Positivity For Dorsal and Ventral Stmentioning

confidence: 99%

Independent processing of visual stimulus changes in ventral and dorsal stream features indexed by an early positive difference in event-related brain potentials

Kimura

Katayama

Murohashi

2006

International Journal of Psychophysiology

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In event-related brain potential (ERP) studies of brain activity using a visual S1-S2 matching task, change stimuli elicit a posterior positive component with a latency of 100-200 ms. To elucidate the hierarchical organization of the processing of a visual stimulus change based on multiple stimulus features, ERPs were recorded in 12 participants performing an S1-S2 matching task with stimuli defined by color (mediated by the ventral stream) and motion direction (mediated by the dorsal stream). Each trial consisted of two sequentially presented stimuli (S1-S2), where S2 was either (1) the same as S1 (i.e., no-change), (2) different from S1 in color only (color change), (3) different in motion direction only (motion direction change), or (4) different in both color and motion direction (color-motion direction change). These trials were presented in random order with equal probability, and the participants were asked to respond to one of these trials in separate blocks.Relative to the no-change stimulus, the three types of change stimuli elicited posterior positivities.The scalp-topography of change positivities differed according to the feature changed. In addition, the amplitude and scalp-topography of change positivities in response to a conjunction change were the respective sums of those in response to changes in the corresponding single features.These results suggest that the change detection system reflected by the change positivity is separate for each feature dimension, and these operate independently.

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MMN in the visual modality: a review

Cited by 270 publications

References 110 publications

The time course of shape discrimination in the human brain

The time course of shape discrimination in the human brain

A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity

Independent processing of visual stimulus changes in ventral and dorsal stream features indexed by an early positive difference in event-related brain potentials

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