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10.1155/2015/469508 http://scihub22266oqcxt.onion/10.1155/2015/469508 C4609411!4609411!26504352     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Behav+Neurol 2015 ; 2015 (ä): ä Nephropedia Template TP {{tp|p=26504352|t=2015. The Mismatch Negativity: An Indicator of Perception of Regularities in Music |pdf=|usr=}}{{26504352}} gab.com Text The Mismatch Negativity: An Indicator of Perception of Regularities in Music JO: Behav Neurol http://www.kidney.de/pget.php?&tw=1&pmid=26504352 #FOAvip This paper reviews music research using Mismatch Negativity (MMN). MMN is a deviation-specific component of auditory event-related potential (EPR), which detects a deviation between a sound and an internal representation (e.g., memory trace). Recent studies have expanded the notion and the paradigms of MMN to higher-order music processing such as those involving short melodies, harmony chord, and music syntax. In this vein, we firstly reviewed the evolution of MMN from sound to music and then mainly compared the differences of MMN features between musicians and nonmusicians, followed by the discussion of the potential roles of the training effect and the natural exposure in MMN. Since MMN can serve as an index of neural plasticity, it thus can be widely used in clinical and other applied areas, such as detecting music preference in newborns or assessing wholeness of central auditory system of hearing illness. Finally, we pointed out some open questions and further directions. Current music perception research using MMN has mainly focused on relatively low hierarchical structure of music perception. To fully understand the neural substrates underlying processing of regularities in music, it is important and beneficial to combine MMN with other experimental paradigms such as early right-anterior negativity (ERAN). Twit Text FOAVip The Mismatch Negativity: An Indicator of Perception of Regularities in Music ????Behav Neurol http://www.kidney.de/pget.php?&tw=1&pmid=26504352 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26504352 #FOAvip English Wikipedia <ref>{{Cite pmid|26504352}}</ref> The Mismatch Negativity: An Indicator of Perception of Regularities in Music #MMPMID26504352 Yu X; Liu T; Gao D Behav Neurol 2015[]; 2015 (ä): ä PMID26504352show ga This paper reviews music research using Mismatch Negativity (MMN). MMN is a deviation-specific component of auditory event-related potential (EPR), which detects a deviation between a sound and an internal representation (e.g., memory trace). Recent studies have expanded the notion and the paradigms of MMN to higher-order music processing such as those involving short melodies, harmony chord, and music syntax. In this vein, we firstly reviewed the evolution of MMN from sound to music and then mainly compared the differences of MMN features between musicians and nonmusicians, followed by the discussion of the potential roles of the training effect and the natural exposure in MMN. Since MMN can serve as an index of neural plasticity, it thus can be widely used in clinical and other applied areas, such as detecting music preference in newborns or assessing wholeness of central auditory system of hearing illness. Finally, we pointed out some open questions and further directions. Current music perception research using MMN has mainly focused on relatively low hierarchical structure of music perception. To fully understand the neural substrates underlying processing of regularities in music, it is important and beneficial to combine MMN with other experimental paradigms such as early right-anterior negativity (ERAN). äThe Mismatch Negativity: An Indicator of Perception of Regularities in(epmc).pdf DeepDyve Pubget Overpricing