Literature DB >> 11689303

Dynamic sensory updating in the auditory system.

E Sussman1, I Winkler.   

Abstract

Typically, in everyday situations, auditory input is constantly changing. Change is an important cue for the auditory system, which can signal the start of new sources of information or that some action may be required. Using an event-related brain potential that can be elicited whether or not attention is focused on the sounds (the mismatch negativity, MMN) we measured the time course of the effects of contextual changes on the brain's response to the same stimulus event. The onset or cessation of a sound in a stimulus block brought about context changes. The effect of the context was observed through changes in the MMN response to a deviant event that was present throughout the sound sequence. These results suggest the existence of a dynamic system of change detection, which updates its model of the sensory input on-line as the changes occur.

Mesh:

Year:  2001        PMID: 11689303     DOI: 10.1016/s0926-6410(01)00067-2

Source DB:  PubMed          Journal:  Brain Res Cogn Brain Res        ISSN: 0926-6410


  32 in total

1.  Units of sound representation and temporal integration: a mismatch negativity study.

Authors:  Attila Oceák; István Winkler; Elyse Sussman
Journal:  Neurosci Lett       Date:  2008-03-05       Impact factor: 3.046

Review 2.  Dynamic causal modeling for EEG and MEG.

Authors:  Stefan J Kiebel; Marta I Garrido; Rosalyn Moran; Chun-Chuan Chen; Karl J Friston
Journal:  Hum Brain Mapp       Date:  2009-06       Impact factor: 5.038

3.  Hierarchy of prediction errors for auditory events in human temporal and frontal cortex.

Authors:  Stefan Dürschmid; Erik Edwards; Christoph Reichert; Callum Dewar; Hermann Hinrichs; Hans-Jochen Heinze; Heidi E Kirsch; Sarang S Dalal; Leon Y Deouell; Robert T Knight
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

4.  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

5.  Transitional Probabilities Are Prioritized over Stimulus/Pattern Probabilities in Auditory Deviance Detection: Memory Basis for Predictive Sound Processing.

Authors:  Maria Mittag; Rika Takegata; István Winkler
Journal:  J Neurosci       Date:  2016-09-14       Impact factor: 6.167

Review 6.  Auditory Scene Analysis: An Attention Perspective.

Authors:  Elyse S Sussman
Journal:  J Speech Lang Hear Res       Date:  2017-10-17       Impact factor: 2.297

7.  Mismatch negativity and adaptation measures of the late auditory evoked potential in cochlear implant users.

Authors:  Fawen Zhang; Theresa Hammer; Holly-Lolan Banks; Chelsea Benson; Jing Xiang; Qian-Jie Fu
Journal:  Hear Res       Date:  2010-12-01       Impact factor: 3.208

8.  Analyzing the auditory scene: neurophysiologic evidence of a dissociation between detection of regularity and detection of change.

Authors:  Alessia Pannese; Christoph S Herrmann; Elyse Sussman
Journal:  Brain Topogr       Date:  2014-04-27       Impact factor: 3.020

9.  Neural representations of auditory input accommodate to the context in a dynamically changing acoustic environment.

Authors:  Torsten Rahne; Elyse Sussman
Journal:  Eur J Neurosci       Date:  2008-12-12       Impact factor: 3.386

10.  Looking for a pattern: an MEG study on the abstract mismatch negativity in musicians and nonmusicians.

Authors:  Sibylle C Herholz; Claudia Lappe; Christo Pantev
Journal:  BMC Neurosci       Date:  2009-04-30       Impact factor: 3.288

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