A single dual-stream framework for syntactic computations in music and language

Musso, Mariacristina; Weiller, Cornelius; Horn, Andreas; Glauche, V.; Umarova, Roza; Hennig, Jürgen; Schneider, Albrecht; Rijntjes, Michel

doi:10.1016/j.neuroimage.2015.05.020

Cited by 70 publications

(76 citation statements)

References 102 publications

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“…The musical protolanguage hypothesis is supported by recent evidence that speech and music share underlying cognitive and neural resources (15)(16)(17)(18)(19)(20)(21)(22), and draw on a common code of acoustic attributes when used to communicate emotional states (23)(24)(25)(26)(27)(28)(29)(30)(31). In their review of emotional expression in speech and music, Juslin and Laukka found that higher pitch, increased intensity, and faster rate were associated with more excited and positive emotions in both speech and music (23).…”

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confidence: 97%

Human emotions track changes in the acoustic environment

Thompson

2015

Proc. Natl. Acad. Sci. U.S.A.

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Emotional responses to biologically significant events are essential for human survival. Do human emotions lawfully track changes in the acoustic environment? Here we report that changes in acoustic attributes that are well known to interact with human emotions in speech and music also trigger systematic emotional responses when they occur in environmental sounds, including sounds of human actions, animal calls, machinery, or natural phenomena, such as wind and rain. Three changes in acoustic attributes known to signal emotional states in speech and music were imposed upon 24 environmental sounds. Evaluations of stimuli indicated that human emotions track such changes in environmental sounds just as they do for speech and music. Such changes not only influenced evaluations of the sounds themselves, they also affected the way accompanying facial expressions were interpreted emotionally. The findings illustrate that human emotions are highly attuned to changes in the acoustic environment, and reignite a discussion of Charles Darwin’s hypothesis that speech and music originated from a common emotional signal system based on the imitation and modification of environmental sounds.

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confidence: 97%

Human emotions track changes in the acoustic environment

Thompson

2015

Proc. Natl. Acad. Sci. U.S.A.

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“…2001; Musso et al, 2015;Sammler et al, 2011;Tillmann et al, 2006). Interestingly, IFG has 101 been associated not only with structural integration and prediction of musical sequences, but 5 also with structuring of complex actions (Fuster, 2001;Koechlin and Summerfield, 2007) 103 outside the music domain.…”

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confidence: 99%

“…Indeed, posterior superior temporal areas have been associated with physical feature 529 analysis and short-term representation of sounds (Seger et al, 2013), as well as with the identification of 530 the harmonic functions of chords within musical sequences (Musso et al, 2015).…”

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confidence: 99%

Neural networks for harmonic structure in music perception and action

et al. 2016

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1The ability to predict upcoming structured events based on long-term knowledge and 2 contextual priors is a fundamental principle of human cognition. Tonal music triggers 3 predictive processes based on structural properties of harmony, i.e., regularities defining the 4 arrangement of chords into well-formed musical sequences. While the neural architecture of 5 structure-based predictions during music perception is well described, little is known about 6 the neural networks for analogous predictions in musical actions and how they relate to 7 auditory perception. To fill this gap, expert pianists were presented with harmonically 8 congruent or incongruent chord progressions, either as musical actions (photos of a hand 9 playing chords) that they were required to watch and imitate without sound, or in an auditory 10 format that they listened to without playing. By combining task-based functional magnetic 11 resonance imaging (fMRI) with functional connectivity at rest, we identified distinct sub-12 regions in right inferior frontal gyrus (rIFG) interconnected with parietal and temporal areas 13 for processing action and audio sequences, respectively. We argue that the differential 14 contribution of parietal and temporal areas is tied to motoric and auditory long-term 15 representations of harmonic regularities that dynamically interact with computations in rIFG. 16Parsing of the structural dependencies in rIFG is co-determined by both stimulus-or task-

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“…(Henceforth in this article, music refers to instrumental music, and language refers to ordinary language, i.e., not poetry, chant, or other stylized forms). Hidden links between musical and linguistic cognition have been found at several levels of language processing, including syntactic, semantic, prosodic, phonological, and affective (e.g., Flaugnacco et al, 2015;Habib et al, 2016;Koelsch et al, 2004;Koelsch, Gunter, Wittfoth, & Sammler, 2005;Kunert, Willems, Casasanto, Patel, & Hagoort, 2015;Kunert, Willems, & Hagoort, 2016;Lima & Castro, 2011;Liu, Patel, Fourcin, & Stewart, 2010;Musso et al, 2015;Patel, Peretz, Tramo, & Labreque, 1998;Slevc, Rosenberg, & Patel, 2009;Thompson, Schellenberg, & Husain, 2004; for recent debate, see Collins, Tillmann, Barrett, Delbé, & Janata, 2014;Kunert & Slevc, 2015;Peretz, Vuvan, Lagrois, & Armony, 2015;Tillmann & Bigand 2015).…”

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confidence: 99%

“…Although statistical learning may help the human mind acquire implicit knowledge of the norms of harmonic structure, evidence from behavioral and neural studies suggests that the processing of harmonic structure by adults involves hierarchical processing (e.g., Koelsch, Rohrmeier, Torrecuso, & Jentschke, 2013;Lerdahl & Krumhansl, 2007;cf. Rohrmeier, 2011), which overlaps and interacts with the processing of grammatical relationships in language (for empirical evidence, see Fedorenko, Patel, Casasanto, Winawer, & Gibson, 2009;Koelsch, Gunter, et al, 2005;Kunert et al, , 2016Musso et al, 2015;Slevc et al, 2009;Van de Cavey & Hartsuiker, 2016).…”

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confidence: 99%

Using music to study the evolution of cognitive mechanisms relevant to language

Patel

2016

Psychon Bull Rev

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This article argues that music can be used in crossspecies research to study the evolution of cognitive mechanisms relevant to spoken language. This is because music and language share certain cognitive processing mechanisms and because music offers specific advantages for cross-species research. Music has relatively simple building blocks (tones without semantic properties), yet these building blocks are combined into rich hierarchical structures that engage complex cognitive processing. I illustrate this point with regard to the processing of musical harmonic structure. Because the processing of musical harmonic structure has been shown to interact with linguistic syntactic processing in humans, it is of interest to know if other species can acquire implicit knowledge of harmonic structure through extended exposure to music during development (vs. through explicit training). I suggest that domestic dogs would be a good species to study in addressing this question.

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A single dual-stream framework for syntactic computations in music and language

Cited by 70 publications

References 102 publications

Human emotions track changes in the acoustic environment

Human emotions track changes in the acoustic environment

Neural networks for harmonic structure in music perception and action

Using music to study the evolution of cognitive mechanisms relevant to language

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