Literature DB >> 22279229

Novelty detection in the human auditory brainstem.

Lavinia Slabu1, Sabine Grimm, Carles Escera.   

Abstract

Auditory deviance detection has been associated with a human auditory-evoked potential (AEP), the mismatch negativity, generated in the auditory cortex 100-200 ms from sound change onset. Yet, single-unit recordings in animals suggest much earlier (∼20-40 ms), and anatomically lower (i.e., thalamus and midbrain) deviance detection. In humans, recordings of the scalp middle-latency AEPs have confirmed early (∼30-40 ms) deviance detection. However, involvement of the human auditory brainstem in deviance detection has not yet been demonstrated. Here we recorded the auditory brainstem frequency-following response (FFR) to consonant-vowel stimuli (/ba/, /wa/) in young adults, with stimuli arranged in oddball and reversed oddball blocks (deviant probability, p=0.2), allowing for the comparison of FFRs to the same physical stimuli presented in different contextual roles. Whereas no effect was observed for the /wa/ syllable, we found for the /ba/ syllable a reduction in the brainstem FFR to deviant stimuli compared with standard ones and to similar stimuli arranged in a control block, with five equiprobable, rarely occurring sounds. These findings demonstrate that the human auditory brainstem is able to encode regularities in the recent auditory past to detect novel events, and confirm the multiple anatomical and temporal scales of human deviance detection.

Entities:  

Mesh:

Year:  2012        PMID: 22279229      PMCID: PMC6796266          DOI: 10.1523/JNEUROSCI.2557-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  39 in total

1.  Mismatch negativity (MMN), the deviance-elicited auditory deflection, explained.

Authors:  Patrick J C May; Hannu Tiitinen
Journal:  Psychophysiology       Date:  2009-07-21       Impact factor: 4.016

2.  Two-channel brain-stem frequency-following responses to pure tone and missing fundamental stimuli.

Authors:  G C Galbraith
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1994-07

3.  Neural mechanisms of involuntary attention to acoustic novelty and change.

Authors:  C Escera; K Alho; I Winkler; R Näätänen
Journal:  J Cogn Neurosci       Date:  1998-09       Impact factor: 3.225

Review 4.  Cerebral generators of mismatch negativity (MMN) and its magnetic counterpart (MMNm) elicited by sound changes.

Authors:  K Alho
Journal:  Ear Hear       Date:  1995-02       Impact factor: 3.570

5.  Intelligible speech encoded in the human brain stem frequency-following response.

Authors:  G C Galbraith; P W Arbagey; R Branski; N Comerci; P M Rector
Journal:  Neuroreport       Date:  1995-11-27       Impact factor: 1.837

6.  Hearing it again and again: on-line subcortical plasticity in humans.

Authors:  Erika Skoe; Nina Kraus
Journal:  PLoS One       Date:  2010-10-26       Impact factor: 3.240

7.  Auditory training improves neural timing in the human brainstem.

Authors:  Nicole M Russo; Trent G Nicol; Steven G Zecker; Erin A Hayes; Nina Kraus
Journal:  Behav Brain Res       Date:  2005-01-06       Impact factor: 3.332

8.  Stimulus-specific adaptation in the inferior colliculus of the anesthetized rat.

Authors:  Manuel S Malmierca; Salvatore Cristaudo; David Pérez-González; Ellen Covey
Journal:  J Neurosci       Date:  2009-04-29       Impact factor: 6.167

Review 9.  Learning to encode timing: mechanisms of plasticity in the auditory brainstem.

Authors:  Thanos Tzounopoulos; Nina Kraus
Journal:  Neuron       Date:  2009-05-28       Impact factor: 17.173

10.  Multiple time scales of adaptation in auditory cortex neurons.

Authors:  Nachum Ulanovsky; Liora Las; Dina Farkas; Israel Nelken
Journal:  J Neurosci       Date:  2004-11-17       Impact factor: 6.167

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  35 in total

1.  Impaired Subcortical Detection of Auditory Changes in Schizophrenia but Not in Major Depression.

Authors:  Arnim Johannes Gaebler; Jana Zweerings; Jan Willem Koten; Andrea Anna König; Bruce I Turetsky; Mikhail Zvyagintsev; Klaus Mathiak
Journal:  Schizophr Bull       Date:  2020-01-04       Impact factor: 9.306

2.  Interactive effects of linguistic abstraction and stimulus statistics in the online modulation of neural speech encoding.

Authors:  Joseph C Y Lau; Patrick C M Wong; Bharath Chandrasekaran
Journal:  Atten Percept Psychophys       Date:  2019-05       Impact factor: 2.199

3.  Hidden Markov modeling of frequency-following responses to Mandarin lexical tones.

Authors:  Fernando Llanos; Zilong Xie; Bharath Chandrasekaran
Journal:  J Neurosci Methods       Date:  2017-08-12       Impact factor: 2.390

4.  Microsaccadic responses indicate fast categorization of sounds: a novel approach to study auditory cognition.

Authors:  Andreas Widmann; Ralf Engbert; Erich Schröger
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

5.  Encoding of nested levels of acoustic regularity in hierarchically organized areas of the human auditory cortex.

Authors:  Marc Recasens; Sabine Grimm; Andreas Wollbrink; Christo Pantev; Carles Escera
Journal:  Hum Brain Mapp       Date:  2014-07-04       Impact factor: 5.038

6.  Mapping the spatiotemporal dynamics of processing task-relevant and task-irrelevant sound feature changes using concurrent EEG-fMRI.

Authors:  Sebastian Puschmann; René J Huster; Christiane M Thiel
Journal:  Hum Brain Mapp       Date:  2016-06-09       Impact factor: 5.038

7.  Effects of formant proximity and stimulus prototypicality on the neural discrimination of vowels: Evidence from the auditory frequency-following response.

Authors:  T Christina Zhao; Matthew Masapollo; Linda Polka; Lucie Ménard; Patricia K Kuhl
Journal:  Brain Lang       Date:  2019-05-23       Impact factor: 2.381

8.  Stimulus-specific adaptation in auditory thalamus of young and aged awake rats.

Authors:  Ben D Richardson; Kenneth E Hancock; Donald M Caspary
Journal:  J Neurophysiol       Date:  2013-07-31       Impact factor: 2.714

9.  Context-dependent plasticity in the subcortical encoding of linguistic pitch patterns.

Authors:  Joseph C Y Lau; Patrick C M Wong; Bharath Chandrasekaran
Journal:  J Neurophysiol       Date:  2016-11-09       Impact factor: 2.714

10.  Mismatch negativity-like potential (MMN-like) in the subthalamic nuclei in Parkinson's disease patients.

Authors:  Eduard Minks; Pavel Jurák; Jan Chládek; Jan Chrastina; Josef Halámek; Daniel J Shaw; Martin Bareš
Journal:  J Neural Transm (Vienna)       Date:  2014-05-09       Impact factor: 3.575

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