Swinging in the brain: shared neural substrates for behaviors related to sequencing and music

Janata, Petr; Grafton, Scott T.

doi:10.1038/nn1081

Cited by 244 publications

(169 citation statements)

References 70 publications

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“…Thus, next to evidence from a study on aphasic patients (Patel, Iversen, Wassenaar, & Hagoort, 2008), a growing body of evidence from functional neuroimaging suggests an overlap in the processing of structural relations in language and music (for a review see Patel, 2003). It is also of interest to note that there seems to be a considerable overlap between regions implicated in the perception/production of music and the perception/production of abstract sequences, including the left inferior frontal region (Janata & Grafton, 2003;Tillmann et al, 2006). Brain lesion data and results on specific language impairment (SLI) are consistent with these findings, suggesting that abnormal language processing are paralleled by impairment in structured sequence learning/processing (Christiansen, Kelly, Shillock, & Greenfield, 2009;Evans, Saffran, & Robe-Torres, 2009;Hoen et al, 2003;Hsu, Christiansen, Tomblin, Zhang, & Gómez, 2006;Pothos & Wood, 2009;Reali & Christiansen, 2009;Richardson, Harris, Plante, & Gerken, 2006;Uddén et al, 2008).…”

Section: Dynamic Functional Modularity and The Role Of The Left Infermentioning

confidence: 99%

What artificial grammar learning reveals about the neurobiology of syntax

2012

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a b s t r a c tIn this paper we examine the neurobiological correlates of syntax, the processing of structured sequences, by comparing FMRI results on artificial and natural language syntax. We discuss these and similar findings in the context of formal language and computability theory. We used a simple right-linear unification grammar in an implicit artificial grammar learning paradigm in 32 healthy Dutch university students (natural language FMRI data were already acquired for these participants). We predicted that artificial syntax processing would engage the left inferior frontal region (BA 44/45) and that this activation would overlap with syntax-related variability observed in the natural language experiment. The main findings of this study show that the left inferior frontal region centered on BA 44/45 is active during artificial syntax processing of well-formed (grammatical) sequence independent of local subsequence familiarity. The same region is engaged to a greater extent when a syntactic violation is present and structural unification becomes difficult or impossible. The effects related to artificial syntax in the left inferior frontal region (BA 44/45) were essentially identical when we masked these with activity related to natural syntax in the same subjects. Finally, the medial temporal lobe was deactivated during this operation, consistent with the view that implicit processing does not rely on declarative memory mechanisms that engage the medial temporal lobe. In the context of recent FMRI findings, we raise the question whether Broca's region (or subregions) is specifically related to syntactic movement operations or the processing of hierarchically nested non-adjacent dependencies in the discussion section. We conclude that this is not the case. Instead, we argue that the left inferior frontal region is a generic on-line sequence processor that unifies information from various sources in an incremental and recursive manner, independent of whether there are any processing requirements related to syntactic movement or hierarchically nested structures. In addition, we argue that the Chomsky hierarchy is not directly relevant for neurobiological systems.

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Section: Dynamic Functional Modularity and The Role Of The Left Infermentioning

confidence: 99%

What artificial grammar learning reveals about the neurobiology of syntax

2012

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“…Especially in the sub-second range, accurate duration encoding is instrumental for many complex behaviors such as precise motor control (i.e. in activities such as sport and dance), speech recognition and generation, and the processing of social cues (Ambadar, Cohn, & Reed, 2009;Buhusi & Meck, 2005;Diehl, Lotto, & Holt, 2004;Janata & Grafton, 2003;Mauk & Buonomano, 2004;Merchant & Georgopoulos, 2006;Schmidt, Ambadar, & Cohn, 2005). Recently, there has been a renewed interest in studying this temporal aspect of our behavior and the way in which our brain encodes this information.…”

Section: Introductionmentioning

confidence: 99%

An investigation of the spatial selectivity of the duration after-effect

et al. 2017

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a b s t r a c tAdaptation to the duration of a visual stimulus causes the perceived duration of a subsequently presented stimulus with a slightly different duration to be skewed away from the adapted duration. This pattern of repulsion following adaptation is similar to that observed for other visual properties, such as orientation, and is considered evidence for the involvement of duration-selective mechanisms in duration encoding. Here, we investigated whether the encoding of duration -by duration-selective mechanisms -occurs early on in the visual processing hierarchy. To this end, we investigated the spatial specificity of the duration after-effect in two experiments. We measured the duration after-effect at adapter-test distances ranging between 0 and 15°of visual angle and for within-and between-hemifield presentations. We replicated the duration after-effect: the test stimulus was perceived to have a longer duration following adaptation to a shorter duration, and a shorter duration following adaptation to a longer duration. Importantly, this duration after-effect occurred at all measured distances, with no evidence for a decrease in the magnitude of the after-effect at larger distances or across hemifields. This shows that adaptation to duration does not result from adaptation occurring early on in the visual processing hierarchy. Instead, it seems likely that duration information is a high-level stimulus property that is encoded later on in the visual processing hierarchy.

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“…The use of music making as a sensory-motor framework for studying the acquisition of actions has been demonstrated in several previous studies (Stewart et al, 2003;Bangert et al, 2006b). Typically, when playing the piano, auditory feedback is naturally involved in each of the player's movements, leading to an intimate coupling between perception and action (Bangert and Altenmuller, 2003;Janata and Grafton, 2003). We therefore hypothesized that music one knows how to play (even if only recently learned) may be strongly associated with the corresponding elements of the individual's motor repertoire and might activate an audiomotor network in the human brain (Fig.…”

Section: Introductionmentioning

confidence: 99%

Action Representation of Sound: Audiomotor Recognition Network While Listening to Newly Acquired Actions

Lahav¹,

Saltzman²,

Schlaug³

2007

J. Neurosci.

520

438

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The discovery of audiovisual mirror neurons in monkeys gave rise to the hypothesis that premotor areas are inherently involved not only when observing actions but also when listening to action-related sound. However, the whole-brain functional formation underlying such "action-listening" is not fully understood. In addition, previous studies in humans have focused mostly on relatively simple and overexperienced everyday actions, such as hand clapping or door knocking. Here we used functional magnetic resonance imaging to ask whether the human action-recognition system responds to sounds found in a more complex sequence of newly acquired actions. To address this, we chose a piece of music as a model set of acoustically presentable actions and trained non-musicians to play it by ear. We then monitored brain activity in subjects while they listened to the newly acquired piece. Although subjects listened to the music without performing any movements, activation was found bilaterally in the frontoparietal motor-related network (including Broca's area, the premotor region, the intraparietal sulcus, and the inferior parietal region), consistent with neural circuits that have been associated with action observations, and may constitute the human mirror neuron system. Presentation of the practiced notes in a different order activated the network to a much lesser degree, whereas listening to an equally familiar but motorically unknown music did not activate this network. These findings support the hypothesis of a "hearing-doing" system that is highly dependent on the individual's motor repertoire, gets established rapidly, and consists of Broca's area as its hub.

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Swinging in the brain: shared neural substrates for behaviors related to sequencing and music

Cited by 244 publications

References 70 publications

What artificial grammar learning reveals about the neurobiology of syntax

What artificial grammar learning reveals about the neurobiology of syntax

An investigation of the spatial selectivity of the duration after-effect

Action Representation of Sound: Audiomotor Recognition Network While Listening to Newly Acquired Actions

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