Literature DB >> 26656286

Early indices of deviance detection in humans and animal models.

Sabine Grimm1, Carles Escera2, Israel Nelken3.   

Abstract

Detecting unexpected stimuli in the environment is a critical function of the auditory system. Responses to unexpected "deviant" sounds are enhanced compared to responses to expected stimuli. At the human scalp, deviance detection is reflected in the mismatch negativity (MMN) and in an enhancement of the middle-latency response (MLR). Single neurons often respond more strongly to a stimulus when rare than when common, a phenomenon termed stimulus-specific adaptation (SSA). Here we compare stimulus-specific adaptation with scalp-recorded deviance-related responses. We conclude that early markers of deviance detection in the time range of the MLR could be a direct correlate of cortical SSA. Both occur at an early level of cortical activation, both are robust findings with low-probability stimuli, and both show properties of genuine deviance detection. Their causal relation with the later scalp-recorded MMN is a key question in this field.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal models; Deviance detection; Middle latency response; Mismatch negativity; Stimulus-specific adaptation

Mesh:

Year:  2015        PMID: 26656286     DOI: 10.1016/j.biopsycho.2015.11.017

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  11 in total

1.  The Thalamocortical Circuit of Auditory Mismatch Negativity.

Authors:  Peter Lakatos; Monica N O'Connell; Annamaria Barczak; Tammy McGinnis; Samuel Neymotin; Charles E Schroeder; John F Smiley; Daniel C Javitt
Journal:  Biol Psychiatry       Date:  2019-11-09       Impact factor: 13.382

2.  The event-related potential component P3a is diminished by identical deviance repetition, but not by non-identical repetitions.

Authors:  Timm Rosburg; Michael Weigl; Ronja Thiel; Ralph Mager
Journal:  Exp Brain Res       Date:  2018-03-22       Impact factor: 1.972

3.  Neural correlates of auditory sensory memory dynamics in the aging brain.

Authors:  Sandeepa Sur; Edward J Golob
Journal:  Neurobiol Aging       Date:  2019-12-30       Impact factor: 4.673

4.  Frequency tagging to track the neural processing of contrast in fast, continuous sound sequences.

Authors:  Sylvie Nozaradan; André Mouraux; Marion Cousineau
Journal:  J Neurophysiol       Date:  2017-04-05       Impact factor: 2.714

5.  Identifying Clinically and Functionally Distinct Groups Among Healthy Controls and First Episode Psychosis Patients by Clustering on EEG Patterns.

Authors:  Xiaodong Qu; Saran Liukasemsarn; Jingxuan Tu; Amy Higgins; Timothy J Hickey; Mei-Hua Hall
Journal:  Front Psychiatry       Date:  2020-09-18       Impact factor: 4.157

Review 6.  Synaptic interactions and inhibitory regulation in auditory cortex.

Authors:  Caitlin E Askew; Raju Metherate
Journal:  Biol Psychol       Date:  2015-11-07       Impact factor: 3.251

Review 7.  The Neuronal Basis of Predictive Coding Along the Auditory Pathway: From the Subcortical Roots to Cortical Deviance Detection.

Authors:  Guillermo V Carbajal; Manuel S Malmierca
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

Review 8.  Adjudicating Between Local and Global Architectures of Predictive Processing in the Subcortical Auditory Pathway.

Authors:  Alejandro Tabas; Katharina von Kriegstein
Journal:  Front Neural Circuits       Date:  2021-03-12       Impact factor: 3.492

9.  Magnetoencephalography Responses to Unpredictable and Predictable Rare Somatosensory Stimuli in Healthy Adult Humans.

Authors:  Qianru Xu; Chaoxiong Ye; Jarmo A Hämäläinen; Elisa M Ruohonen; Xueqiao Li; Piia Astikainen
Journal:  Front Hum Neurosci       Date:  2021-04-14       Impact factor: 3.169

10.  Editorial: Sensory Adaptation.

Authors:  Mehdi Adibi; Davide Zoccolan; Colin W G Clifford
Journal:  Front Syst Neurosci       Date:  2021-12-08
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