Literature DB >> 24276221

The mechanisms and meaning of the mismatch negativity.

Yonatan I Fishman1.   

Abstract

The mismatch negativity (MMN) is a pre-attentive auditory event-related potential (ERP) component that is elicited by a change in a repetitive acoustic pattern. It is obtained by subtracting responses evoked by frequent 'standard' sounds from responses evoked by infrequent 'deviant' sounds that differ from the standards along some acoustic dimension, e.g., frequency, intensity, or duration, or abstract feature. The MMN has been attributed to neural generators within the temporal and frontal lobes. The mechanisms and meaning of the MMN continue to be debated. Two dominant explanations for the MMN have been proposed. According to the "neural adaptation" hypothesis, repeated presentation of the standards results in adapted (i.e., attenuated) responses of feature-selective neurons in auditory cortex. Rare deviant sounds activate neurons that are less adapted than those stimulated by the frequent standard sounds, and thus elicit a larger 'obligatory' response, which yields the MMN following the subtraction procedure. In contrast, according to the "sensory memory" hypothesis, the MMN is a 'novel' (non-obligatory) ERP component that reflects a deviation between properties of an incoming sound and those of a neural 'memory trace' established by the preceding standard sounds. Here, we provide a selective review of studies which are relevant to the controversy between proponents of these two interpretations of the MMN. We also present preliminary neurophysiological data from monkey auditory cortex with potential implications for the debate. We conclude that the mechanisms and meaning of the MMN are still unresolved and offer remarks on how to make progress on these important issues.

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Year:  2013        PMID: 24276221     DOI: 10.1007/s10548-013-0337-3

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  35 in total

Review 1.  Neural correlates of auditory scene analysis and perception.

Authors:  Kate L Christison-Lagay; Adam M Gifford; Yale E Cohen
Journal:  Int J Psychophysiol       Date:  2014-03-25       Impact factor: 2.997

2.  Neuronal phase consistency tracks dynamic changes in acoustic spectral regularity.

Authors:  Adam M Gifford; Michael R Sperling; Ashwini Sharan; Richard J Gorniak; Ryan B Williams; Kathryn Davis; Michael J Kahana; Yale E Cohen
Journal:  Eur J Neurosci       Date:  2018-11-29       Impact factor: 3.386

3.  Formation and decay of auditory short-term memory in the macaque monkey.

Authors:  Tobias Teichert; Kate Gurnsey
Journal:  J Neurophysiol       Date:  2019-04-24       Impact factor: 2.714

4.  A Comparison of Auditory Oddball Responses in Dorsolateral Prefrontal Cortex, Basolateral Amygdala, and Auditory Cortex of Macaque.

Authors:  Corrie R Camalier; Kaylee Scarim; Mortimer Mishkin; Bruno B Averbeck
Journal:  J Cogn Neurosci       Date:  2019-03-18       Impact factor: 3.225

5.  Familiar But Unexpected: Effects of Sound Context Statistics on Auditory Responses in the Songbird Forebrain.

Authors:  Kai Lu; David S Vicario
Journal:  J Neurosci       Date:  2017-11-08       Impact factor: 6.167

6.  Brain mechanisms involved in angry prosody change detection in school-age children and adults, revealed by electrophysiology.

Authors:  Judith Charpentier; Klara Kovarski; Sylvie Roux; Emmanuelle Houy-Durand; Agathe Saby; Frédérique Bonnet-Brilhault; Marianne Latinus; Marie Gomot
Journal:  Cogn Affect Behav Neurosci       Date:  2018-08       Impact factor: 3.282

7.  New perspectives on the mismatch negativity (MMN) component: an evolving tool in cognitive neuroscience.

Authors:  Elyse S Sussman; Valerie L Shafer
Journal:  Brain Topogr       Date:  2014-06-15       Impact factor: 3.020

8.  A putative electrophysiological biomarker of auditory sensory memory encoding is sensitive to pharmacological alterations of excitatory/inhibitory balance in male macaque monkeys.

Authors:  William B Holliday; Kate Gurnsey; Robert A Sweet; Tobias Teichert
Journal:  J Psychiatry Neurosci       Date:  2018-05       Impact factor: 6.186

9.  Auditory Predictive Coding across Awareness States under Anesthesia: An Intracranial Electrophysiology Study.

Authors:  Kirill V Nourski; Mitchell Steinschneider; Ariane E Rhone; Hiroto Kawasaki; Matthew A Howard; Matthew I Banks
Journal:  J Neurosci       Date:  2018-08-20       Impact factor: 6.167

10.  Distinguishing Neural Adaptation and Predictive Coding Hypotheses in Auditory Change Detection.

Authors:  Renée M Symonds; Wei Wei Lee; Adam Kohn; Odelia Schwartz; Sarah Witkowski; Elyse S Sussman
Journal:  Brain Topogr       Date:  2016-10-17       Impact factor: 3.020

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