Literature DB >> 10327160

Neuronal populations in the human brain extracting invariant relationships from acoustic variance.

P Paavilainen1, M Jaramillo, R Näätänen, I Winkler.   

Abstract

The ability to extract invariant relationships from physically varying stimulation is critical for example to categorical perception of complex auditory information such as speech and music. Human subjects were presented with tone pairs randomly varying over a wide frequency range, there being no physically constant tone pair at all. Instead, the invariant feature was either the direction of the tone pairs (ascending: the second tone was higher in frequency than the first tone) or the frequency ratio (musical interval) of the two tones. The subjects ignored the tone pairs, and instead attended a silent video. Occasional deviant pairs (either descending in direction or having a different frequency ratio) elicited the mismatch negativity (MMN) of the event-related potential, demonstrating the existence of neuronal populations which automatically (independently of attention) extract invariant relationships from acoustical variance.

Entities:  

Mesh:

Year:  1999        PMID: 10327160     DOI: 10.1016/s0304-3940(99)00237-2

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  17 in total

1.  Superior formation of cortical memory traces for melodic patterns in musicians.

Authors:  M Tervaniemi; M Rytkönen; E Schröger; R J Ilmoniemi; R Näätänen
Journal:  Learn Mem       Date:  2001 Sep-Oct       Impact factor: 2.460

2.  A mismatch negativity study of local-global auditory processing.

Authors:  Alexandra List; Timothy Justus; Lynn C Robertson; Shlomo Bentin
Journal:  Brain Res       Date:  2007-03-20       Impact factor: 3.252

3.  Are auditory-evoked frequency and duration mismatch negativity deficits endophenotypic for schizophrenia? High-density electrical mapping in clinically unaffected first-degree relatives and first-episode and chronic schizophrenia.

Authors:  Elena Magno; Sherlyn Yeap; Jogin H Thakore; Hugh Garavan; Pierfilippo De Sanctis; John J Foxe
Journal:  Biol Psychiatry       Date:  2008-05-09       Impact factor: 13.382

4.  Complex mismatch negativity to tone pair deviants in long-term schizophrenia and in the first-episode schizophrenia spectrum.

Authors:  Dean F Salisbury; Alexis G McCathern; Brian A Coffman; Timothy K Murphy; Sarah M Haigh
Journal:  Schizophr Res       Date:  2017-05-12       Impact factor: 4.939

5.  Aging increases distraction by auditory oddballs in visual, but not auditory tasks.

Authors:  Alicia Leiva; Fabrice B R Parmentier; Pilar Andrés
Journal:  Psychol Res       Date:  2014-05-23

6.  Ketamine Affects Prediction Errors about Statistical Regularities: A Computational Single-Trial Analysis of the Mismatch Negativity.

Authors:  Lilian A Weber; Andreea O Diaconescu; Christoph Mathys; André Schmidt; Michael Kometer; Franz Vollenweider; Klaas E Stephan
Journal:  J Neurosci       Date:  2020-06-19       Impact factor: 6.167

7.  Mismatch negativity to pitch pattern deviants in schizophrenia.

Authors:  Sarah M Haigh; Mario De Matteis; Brian A Coffman; Timothy K Murphy; Christiana D Butera; Kayla L Ward; Justin R Leiter-McBeth; Dean F Salisbury
Journal:  Eur J Neurosci       Date:  2017-09-03       Impact factor: 3.386

8.  Reduced late mismatch negativity and auditory sustained potential to rule-based patterns in schizophrenia.

Authors:  Sarah M Haigh; Brian A Coffman; Timothy K Murphy; Christiana D Butera; Justin R Leiter-McBeth; Dean F Salisbury
Journal:  Eur J Neurosci       Date:  2018-12-18       Impact factor: 3.386

Review 9.  The five myths of MMN: redefining how to use MMN in basic and clinical research.

Authors:  E S Sussman; S Chen; J Sussman-Fort; E Dinces
Journal:  Brain Topogr       Date:  2013-10-25       Impact factor: 3.020

Review 10.  Memory-prediction errors and their consequences in schizophrenia.

Authors:  Michael S Kraus; Richard S E Keefe; Ranga K R Krishnan
Journal:  Neuropsychol Rev       Date:  2009-07-03       Impact factor: 7.444

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