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Automatic auditory change detection in humans is influenced by visual-auditory associative learning.
Neuroreport. 2007 Oct 29; 18(16):1697-701.N

Abstract

Automatic detection of auditory changes that violate a regular sound sequence is indexed by the mismatch negativity (MMN) component of the event-related potential. The MMN is considered to reflect an auditory sensory memory and attention switching mechanism. Our aim was to study whether the auditory MMN can be associated with visual cues that have predictive value. By using visual cues that predicted the appearance of a deviant sound in most but not all of the cases, we were able to elicit MMN not only to the deviant sounds but also to those regular sounds that were misleadingly preceded by the visual cue. This result indicates high flexibility in the human automatic auditory change detection system, as it is affected by short-term visual-auditory associative learning.

Authors+Show Affiliations

Department of Psychology, Abo Akademi University, Centre for Cognitive Neuroscience, University of Turku, Turku, Finland. matti.laine@abo.fiNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17921871

Citation

Laine, Matti, et al. "Automatic Auditory Change Detection in Humans Is Influenced By Visual-auditory Associative Learning." Neuroreport, vol. 18, no. 16, 2007, pp. 1697-701.
Laine M, Kwon MS, Hämäläinen H. Automatic auditory change detection in humans is influenced by visual-auditory associative learning. Neuroreport. 2007;18(16):1697-701.
Laine, M., Kwon, M. S., & Hämäläinen, H. (2007). Automatic auditory change detection in humans is influenced by visual-auditory associative learning. Neuroreport, 18(16), 1697-701.
Laine M, Kwon MS, Hämäläinen H. Automatic Auditory Change Detection in Humans Is Influenced By Visual-auditory Associative Learning. Neuroreport. 2007 Oct 29;18(16):1697-701. PubMed PMID: 17921871.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Automatic auditory change detection in humans is influenced by visual-auditory associative learning. AU - Laine,Matti, AU - Kwon,Myoung Soo, AU - Hämäläinen,Heikki, PY - 2007/10/9/pubmed PY - 2008/1/8/medline PY - 2007/10/9/entrez SP - 1697 EP - 701 JF - Neuroreport JO - Neuroreport VL - 18 IS - 16 N2 - Automatic detection of auditory changes that violate a regular sound sequence is indexed by the mismatch negativity (MMN) component of the event-related potential. The MMN is considered to reflect an auditory sensory memory and attention switching mechanism. Our aim was to study whether the auditory MMN can be associated with visual cues that have predictive value. By using visual cues that predicted the appearance of a deviant sound in most but not all of the cases, we were able to elicit MMN not only to the deviant sounds but also to those regular sounds that were misleadingly preceded by the visual cue. This result indicates high flexibility in the human automatic auditory change detection system, as it is affected by short-term visual-auditory associative learning. SN - 0959-4965 UR - https://www.unboundmedicine.com/medline/citation/17921871/Automatic_auditory_change_detection_in_humans_is_influenced_by_visual_auditory_associative_learning_ L2 - https://doi.org/10.1097/WNR.0b013e3282f0d118 DB - PRIME DP - Unbound Medicine ER -