Mismatch Negativity: Clinical and Other Applications

Näätänen, Risto; Escera, Carles

doi:10.1159/000013874

Cited by 146 publications

(81 citation statements)

References 78 publications

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“…Two lines of evidence suggest that this period entails the encoding of cortical representations of auditory space, rather than higher order process. First, it corresponds to the time period over which the MMN response has been observed to changes in the position of a sequence of sounds, particularly when behavioral discrimination is difficult and/or when there is minimal separation in terms of the physical features of the stimuli (Näätänen and Escera, 2000). We interpret the response change during the MMN temporal window as indicating that traininginduced plasticity of the cortical representations of the two positions and/or the cortical mechanisms involved in position discrimination (Näätänen et al, 1978).…”

Section: Discussionmentioning

confidence: 99%

Learning-Induced Plasticity in Auditory Spatial Representations Revealed by Electrical Neuroimaging

Spierer¹,

Tardif²,

Sperdin³

et al. 2007

J. Neurosci.

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Auditory spatial representations are likely encoded at a population level within human auditory cortices. We investigated learninginduced plasticity of spatial discrimination in healthy subjects using auditory-evoked potentials (AEPs) and electrical neuroimaging analyses. Stimuli were 100 ms white-noise bursts lateralized with varying interaural time differences. In three experiments, plasticity was induced with 40 min of discrimination training. During training, accuracy significantly improved from near-chance levels to ϳ75%. Before and after training, AEPs were recorded to stimuli presented passively with a more medial sound lateralization outnumbering a more lateral one (7:1). In experiment 1, the same lateralizations were used for training and AEP sessions. Significant AEP modulations to the different lateralizations were evident only after training, indicative of a learning-induced mismatch negativity (MMN). More precisely, this MMN at 195-250 ms after stimulus onset followed from differences in the AEP topography to each stimulus position, indicative of changes in the underlying brain network. In experiment 2, mirror-symmetric locations were used for training and AEP sessions; no training-related AEP modulations or MMN were observed. In experiment 3, the discrimination of trained plus equidistant untrained separations was tested psychophysically before and 0, 6, 24, and 48 h after training. Learning-induced plasticity lasted Ͻ6 h, did not generalize to untrained lateralizations, and was not the simple result of strengthening the representation of the trained lateralizations. Thus, learning-induced plasticity of auditory spatial discrimination relies on spatial comparisons, rather than a spatial anchor or a general comparator. Furthermore, cortical auditory representations of space are dynamic and subject to rapid reorganization.

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Section: Discussionmentioning

confidence: 99%

Learning-Induced Plasticity in Auditory Spatial Representations Revealed by Electrical Neuroimaging

Spierer¹,

Tardif²,

Sperdin³

et al. 2007

J. Neurosci.

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“…In our experiments, we thus focused on automatic or task-irrelevant novelty detection in the auditory domain (and its plasticity related to musical training), because automaticity is an important property of an efficient novelty discrimination system allowing the brain to rapidly and effortlessly detect change in the environment (Sokolov, 1963;Brown and Bashir, 2002;Yamaguchi et al, 2004;Kumaran and Maguire, 2007b). Note that this approach is similar to experimental conditions commonly used in electrophysiological studies to test for the neural correlates of preattentive oddball detection in the acoustic domain (for review, see Näätänen and Escera, 2000;Näätänen et al, 2001) and to identify functional differences in automatic auditory processing in musicians and nonmusicians on a cortical (for review, see Munte et al, 2002) and subcortical level (Parbery-Clark et al, 2009). …”

Section: Auditory Stimulation During Functional Imagingmentioning

confidence: 99%

Musical Training Induces Functional Plasticity in Human Hippocampus

et al. 2010

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Training can change the functional and structural organization of the brain, and animal models demonstrate that the hippocampus formation is particularly susceptible to training-related neuroplasticity. In humans, however, direct evidence for functional plasticity of the adult hippocampus induced by training is still missing. Here, we used musicians' brains as a model to test for plastic capabilities of the adult human hippocampus. By using functional magnetic resonance imaging optimized for the investigation of auditory processing, we examined brain responses induced by temporal novelty in otherwise isochronous sound patterns in musicians and musical laypersons, since the hippocampus has been suggested previously to be crucially involved in various forms of novelty detection. In the first crosssectional experiment, we identified enhanced neural responses to temporal novelty in the anterior left hippocampus of professional musicians, pointing to expertise-related differences in hippocampal processing. In the second experiment, we evaluated neural responses to acoustic temporal novelty in a longitudinal approach to disentangle training-related changes from predispositional factors. For this purpose, we examined an independent sample of music academy students before and after two semesters of intensive aural skills training. After this training period, hippocampal responses to temporal novelty in sounds were enhanced in musical students, and statistical interaction analysis of brain activity changes over time suggests training rather than predisposition effects. Thus, our results provide direct evidence for functional changes of the adult hippocampus in humans related to musical training.

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“…Our finding showed that the MMN response elicited by the SNHL subjects was smaller (almost half of the activation) and recorded at longer latencies on both CVs speech stimuli compared to that of the control group. In other words, the difference in MMN auditory response of hearing impaired subjects was found to reflect not only the detection of speech phonologic features, but also revealed the anomalies in physiological measure of automatic discriminant ability involving central processing in audition (Näätänen 1995;Näätänen & Escera 2000).…”

Section: Implication Of Speech Stimulus On Mismatch Negativity (Mmn) mentioning

confidence: 99%

Effects of Speech Phonological Features during Passive Perception on Cortical Auditory Evoked Potential in Sensorineural Hearing Loss

Ting¹,

Bakar²,

Santhosh³

et al. 2017

JSM

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Mismatch Negativity: Clinical and Other Applications

Cited by 146 publications

References 78 publications

Learning-Induced Plasticity in Auditory Spatial Representations Revealed by Electrical Neuroimaging

Learning-Induced Plasticity in Auditory Spatial Representations Revealed by Electrical Neuroimaging

Musical Training Induces Functional Plasticity in Human Hippocampus

Effects of Speech Phonological Features during Passive Perception on Cortical Auditory Evoked Potential in Sensorineural Hearing Loss

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