Thalamocortical mechanisms for integrating musical tone and rhythm

Musacchia, Gabriella; Large, Edward W.; Schroeder, Charles E.

doi:10.1016/j.heares.2013.09.017

Cited by 28 publications

(32 citation statements)

References 107 publications

(131 reference statements)

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“…Therefore, we separately analyzed the activation of the supragranular (layers I–III) and infragranular layers (layers IV–VI). The previous studies showed a hierarchical activation pattern in many cortical areas, including A1 (Musacchia et al 2014 ), which starts in the input layer IV, propagates to the supragranular layer, and then spreads to the infragranular layers. After information processing, the latter represents the output station for cortical activity to the thalamus (Barbour and Callaway 2008 ; Broicher et al 2010 ) and we will refer mainly to the infragranular layer in the following.…”

Section: Resultsmentioning

confidence: 94%

“…2 a, 4 a). The A1 is a layered structure with tonotopic organization in which each of the six layers has specific input/output and sensory processing functions and neighboring tone frequencies are represented in adjacent cortical columns (Hackett et al 2011 ; Musacchia et al 2014 ). Therefore, we separately analyzed the activation of the supragranular (layers I–III) and infragranular layers (layers IV–VI).…”

Section: Resultsmentioning

confidence: 99%

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Protective potential of dimethyl fumarate in a mouse model of thalamocortical demyelination

et al. 2018

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Alterations in cortical cellular organization, network functionality, as well as cognitive and locomotor deficits were recently suggested to be pathological hallmarks in multiple sclerosis and corresponding animal models as they might occur following demyelination. To investigate functional changes following demyelination in a well-defined, topographically organized neuronal network, in vitro and in vivo, we focused on the primary auditory cortex (A1) of mice in the cuprizone model of general de- and remyelination. Following myelin loss in this model system, the spatiotemporal propagation of incoming stimuli in A1 was altered and the hierarchical activation of supra- and infragranular cortical layers was lost suggesting a profound effect exerted on neuronal network level. In addition, the response latency in field potential recordings and voltage-sensitive dye imaging was increased following demyelination. These alterations were accompanied by a loss of auditory discrimination abilities in freely behaving animals, a reduction of the nuclear factor-erythroid 2-related factor-2 (Nrf-2) protein in the nucleus in histological staining and persisted during remyelination. To find new strategies to restore demyelination-induced network alteration in addition to the ongoing remyelination, we tested the cytoprotective potential of dimethyl fumarate (DMF). Therapeutic treatment with DMF during remyelination significantly modified spatiotemporal stimulus propagation in the cortex, reduced the cognitive impairment, and prevented the demyelination-induced decrease in nuclear Nrf-2. These results indicate the involvement of anti-oxidative mechanisms in regulating spatiotemporal cortical response pattern following changes in myelination and point to DMF as therapeutic compound for intervention.

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Section: Resultsmentioning

confidence: 94%

Section: Resultsmentioning

confidence: 99%

Protective potential of dimethyl fumarate in a mouse model of thalamocortical demyelination

et al. 2018

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“…How the auditory cortex communicates with other components of the distributed activated network during the listening task (Figure 3A ) should be investigated in more detail in future studies using connectivity analyses. For example, it will be interesting to explore whether connectivity between the thalamus and auditory cortical areas depends on the rhythmicity of the input ( Musacchia et al, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Complementary fMRI and EEG evidence for more efficient neural processing of rhythmic vs. unpredictably timed sounds

Atteveldt¹,

Musacchia

Zion-Golumbic

et al. 2015

Front. Psychol.

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The brain’s fascinating ability to adapt its internal neural dynamics to the temporal structure of the sensory environment is becoming increasingly clear. It is thought to be metabolically beneficial to align ongoing oscillatory activity to the relevant inputs in a predictable stream, so that they will enter at optimal processing phases of the spontaneously occurring rhythmic excitability fluctuations. However, some contexts have a more predictable temporal structure than others. Here, we tested the hypothesis that the processing of rhythmic sounds is more efficient than the processing of irregularly timed sounds. To do this, we simultaneously measured functional magnetic resonance imaging (fMRI) and electro-encephalograms (EEG) while participants detected oddball target sounds in alternating blocks of rhythmic (e.g., with equal inter-stimulus intervals) or random (e.g., with randomly varied inter-stimulus intervals) tone sequences. Behaviorally, participants detected target sounds faster and more accurately when embedded in rhythmic streams. The fMRI response in the auditory cortex was stronger during random compared to random tone sequence processing. Simultaneously recorded N1 responses showed larger peak amplitudes and longer latencies for tones in the random (vs. the rhythmic) streams. These results reveal complementary evidence for more efficient neural and perceptual processing during temporally predictable sensory contexts.

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“…Thalamocortical oscillations exhibit 1∕ f frequency spectra with peaks in specific frequency bands, including delta (~ 1–4 Hz), theta (~ 4–8 Hz), beta (~ 13–30 Hz), and gamma (~ 30–70 Hz) (Buzsáki, 2006 ). The frequency range of musical pulse (London, 2004 ) corresponds nicely with the delta band, while faster metrical frequencies fall within the theta band, and slower metrical frequencies occupy the sub-delta range (Musacchia et al, 2014 , see Figure 1 ). Jones originally hypothesized that endogenous perceptual rhythms synchronize with temporally structured sequences, generating expectancies for future events (Jones, 1976 ).…”

Section: Neural Resonance To Musical Rhythmsmentioning

confidence: 94%

Neural Networks for Beat Perception in Musical Rhythm

Large

Herrera

Velasco

2015

Front. Syst. Neurosci.

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Entrainment of cortical rhythms to acoustic rhythms has been hypothesized to be the neural correlate of pulse and meter perception in music. Dynamic attending theory first proposed synchronization of endogenous perceptual rhythms nearly 40 years ago, but only recently has the pivotal role of neural synchrony been demonstrated. Significant progress has since been made in understanding the role of neural oscillations and the neural structures that support synchronized responses to musical rhythm. Synchronized neural activity has been observed in auditory and motor networks, and has been linked with attentional allocation and movement coordination. Here we describe a neurodynamic model that shows how self-organization of oscillations in interacting sensory and motor networks could be responsible for the formation of the pulse percept in complex rhythms. In a pulse synchronization study, we test the model's key prediction that pulse can be perceived at a frequency for which no spectral energy is present in the amplitude envelope of the acoustic rhythm. The result shows that participants perceive the pulse at the theoretically predicted frequency. This model is one of the few consistent with neurophysiological evidence on the role of neural oscillation, and it explains a phenomenon that other computational models fail to explain. Because it is based on a canonical model, the predictions hold for an entire family of dynamical systems, not only a specific one. Thus, this model provides a theoretical link between oscillatory neurodynamics and the induction of pulse and meter in musical rhythm.

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Thalamocortical mechanisms for integrating musical tone and rhythm

Cited by 28 publications

References 107 publications

Protective potential of dimethyl fumarate in a mouse model of thalamocortical demyelination

Protective potential of dimethyl fumarate in a mouse model of thalamocortical demyelination

Complementary fMRI and EEG evidence for more efficient neural processing of rhythmic vs. unpredictably timed sounds

Neural Networks for Beat Perception in Musical Rhythm

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