Beta oscillations are a fundamental feature of brain activity, linked to long-range connectivity within canonical networks, inhibition of sensorimotor cortices and the maintenance of a stable sensorimotor state in situations where the external world is predictable. The importance of beta oscillations in brain function is underscored by observations of their perturbation in neurological and psychiatric disorders. However, the precise role played by beta activity, particularly in mediating complex or skilful movements, remains incompletely understood. Here, we used a newly developed wearable optically pumped magnetometer-based magnetoencephalography (OPM-MEG) system to measure beta dynamics as participants learned to play a musical instrument. Twenty-two novice players took part in a study in which OPM-MEG data were recorded during two scanning sessions, while participants attempted to play a tune on a violin. Between the two sessions, participants received a violin lesson from an expert teacher. Results showed that robust data could be acquired during this naturalistic task, with beta oscillations decreasing in amplitude during movement and increasing upon movement cessation, as expected. Moreover, beta power whilst playing, in the motor and pre-motor areas, was significantly elevated after the lesson compared to before, and the movement-related modulation of beta amplitude was more pronounced after the lesson. These findings align with predictive coding models which suggest that beta amplitude should increase when individuals have greater certainty over the movements they carry out. Our study adds to an expanding literature on the role of beta oscillations and provides further evidence for the utility of OPM-MEG in naturalistic neuroscience.
Beta oscillations (13–30 Hz) are a prominent sensorimotor neural rhythm and an important biomarker in neurorehabilitation. These oscillations propagate along the corticospinal pathway and are expressed in the discharge patterns of spinal motor neurons, enabling the assessment of corticomuscular coupling. Moreover, peri...
Emanuele Abbagnano, Benedetta Memè, A. Pascual-Valdunciel et al.· bioRxiv· 0 citations
This approach establishes a blueprint for non-invasively mapping cortico-cerebellar network dynamics, providing a framework to study circuit-level dysfunctions in disorders affecting the cerebellum and show that cortico-cerebellar coupling functions as a gating mechanism and suggest that cerebellar circuits modulate co...
Coen S. Zandvoort, Charlotte C. Wissing, Jonathan Winter et al.· bioRxiv· 0 citations
The beta rhythm (neural oscillations in the range 13–30 Hz) is associated with the control of movement. Discrete movements (such as a button press) are bounded by a premovement dip in beta power and a postmovement beta rebound, which are thought to release and terminate the action, respectively. However, an additional...
Charlotte R. Marshall, Mengxi Wang, E. Lawrance et al.· Journal of Neuroscience· 0 citations
Interpersonal synchrony requires continuously balancing internally generated timing predictions with externally driven adjustments to a partner's behavior. Neural oscillations in alpha and beta bands have been implicated in prediction processes during joint action, yet their role in self-other integration remains uncle...
Camilla Gregorini, Mario Medoni, Anna P. Zamm et al.· Acta Psychologica· 0 citations
Sensorimotor rhythms in the mu (8–13 Hz) and beta (13–30 Hz) frequency ranges provide a canonical window into action‐related neural dynamics. While these rhythms are known to reflect movement preparation, execution, and postmovement regulation, less is known about how their temporal organization varies across increasin...
Francisco J. Parada, Aitana Grasso-Cladera, Alejandra Rossi· European Journal of Neurosci...· 0 citations
These multimodal findings reveal distinct neural signatures of spontaneous experience and demonstrate that coordinated large-scale network dynamics and alpha-band oscillations track the natural alternation between inward and outward focus in the human mind.
Tomáš Hampejs, D. Tomeček, Stanislav Jiříček et al.· Scientific Reports· 0 citations
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