• Clin Neurophysiol · Aug 2021

    Movement-related changes in pallidocortical synchrony differentiate action execution and observation in humans.

    • Katy A Cross, Mahsa Malekmohammadi, Woo ChoiJeongJDepartment of Neurosurgery, University of California, Los Angeles, USA., and Nader Pouratian.
    • Department of Neurology, University of California, Los Angeles, USA. Electronic address: kcross@mednet.ucla.edu.
    • Clin Neurophysiol. 2021 Aug 1; 132 (8): 1990-2001.

    ObjectiveSuppression of local and network alpha and beta oscillations in the human basal ganglia-thalamocortical (BGTC) circuit is a prominent feature of movement, including suppression of local alpha/beta power, cross-region beta phase coupling, and cortical and subcortical phase-amplitude coupling (PAC). We hypothesized that network-level coupling is more directly related to movement execution than local power changes, given the role of pathological network hypersynchrony in movement disorders such as Parkinson disease (PD). Understanding the specificity of these movement-related signals is important for designing novel therapeutics.MethodsWe recorded globus pallidus internus (GPi) and motor cortical local field potentials during movement execution, passive movement observation and rest in 12 patients with PD undergoing deep brain stimulator implantation.ResultsLocal alpha/beta power is suppressed in the globus pallidus and motor cortex during both action execution and action observation, although less so during action observation. In contrast, pallidocortical phase synchrony and GPi and motor cortical alpha/beta-gamma PAC are suppressed only during action execution.ConclusionsThe functional dissociation across tasks in pallidocortical network activity suggests a particularly important role of network coupling in motor execution.SignificanceNetwork level recordings provide important specificity in differentiating motor behavior and may provide significant value for future closed loop therapies.Copyright © 2021 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

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