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  When the statistical MMN meets the physical MMN

Vera, T., Sebastian, J., Daikoku, T., & Koelsch, S. (2019). When the statistical MMN meets the physical MMN. Scientific Reports, 9: 5563. doi:10.1038/s41598-019-42066-4.

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 Creators:
Vera, Tsogli1, Author
Sebastian, Jentschke1, 2, Author
Daikoku, Tatsuya3, Author           
Koelsch, Stefan1, 3, Author           
Affiliations:
1Department of Biological and Medical Psychology, University of Bergen, Norway, ou_persistent22              
2Department of Psychosocial Science, University of Bergen, Norway, ou_persistent22              
3Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Cognitive neuroscience; Learning and memory; Psychology
 Abstract: How do listeners respond to prediction errors within patterned sequence of sounds? To answer this question we carried out a statistical learning study using electroencephalography (EEG). In a continuous auditory stream of sound triplets the deviations were either (a) statistical, in terms of transitional probability, (b) physical, due to a change in sound location (left or right speaker) or (c) a double deviants, i.e. a combination of the two. Statistical and physical deviants elicited a statistical mismatch negativity and a physical MMN respectively. Most importantly, we found that effects of statistical and physical deviants interacted (the statistical MMN was smaller when co-occurring with a physical deviant). Results show, for the first time, that processing of prediction errors due to statistical learning is affected by prediction errors due to physical deviance. Our findings thus show that the statistical MMN interacts with the physical MMN, implying that prediction error processing due to physical sound attributes suppresses processing of learned statistical properties of sounds.

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Language(s): eng - English
 Dates: 2018-10-302019-03-212019-04-03
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41598-019-42066-4
PMID: 30944387
PMC: PMC6447621
 Degree: -

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Project name : -
Grant ID : 1303
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Funding organization : German-Israeli Foundation for Scientific Research and Development

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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 9 Sequence Number: 5563 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: https://pure.mpg.de/cone/journals/resource/2045-2322