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Processing structure in language and music: a case for shared reliance on cognitive control

Overview of attention for article published in Psychonomic Bulletin & Review, August 2014
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Title
Processing structure in language and music: a case for shared reliance on cognitive control
Published in
Psychonomic Bulletin & Review, August 2014
DOI 10.3758/s13423-014-0712-4
Pubmed ID
Authors

L. Robert Slevc, Brooke M. Okada

Abstract

The relationship between structural processing in music and language has received increasing interest in the past several years, spurred by the influential Shared Syntactic Integration Resource Hypothesis (SSIRH; Patel, Nature Neuroscience, 6, 674-681, 2003). According to this resource-sharing framework, music and language rely on separable syntactic representations but recruit shared cognitive resources to integrate these representations into evolving structures. The SSIRH is supported by findings of interactions between structural manipulations in music and language. However, other recent evidence suggests that such interactions also can arise with nonstructural manipulations, and some recent neuroimaging studies report largely nonoverlapping neural regions involved in processing musical and linguistic structure. These conflicting results raise the question of exactly what shared (and distinct) resources underlie musical and linguistic structural processing. This paper suggests that one shared resource is prefrontal cortical mechanisms of cognitive control, which are recruited to detect and resolve conflict that occurs when expectations are violated and interpretations must be revised. By this account, musical processing involves not just the incremental processing and integration of musical elements as they occur, but also the incremental generation of musical predictions and expectations, which must sometimes be overridden and revised in light of evolving musical input.

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Geographical breakdown

Country Count As %
United States 6 3%
Germany 2 1%
Norway 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Croatia 1 <1%
Unknown 173 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 25%
Student > Master 33 18%
Researcher 23 12%
Student > Bachelor 22 12%
Student > Doctoral Student 10 5%
Other 27 15%
Unknown 24 13%
Readers by discipline Count As %
Psychology 70 38%
Neuroscience 23 12%
Arts and Humanities 22 12%
Linguistics 19 10%
Social Sciences 6 3%
Other 12 6%
Unknown 33 18%