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Sensorimotor Processing in the Basal Ganglia Leads to Transient Beta Oscillations during Behavior
KTH, School of Computer Science and Communication (CSC), Computational Science and Technology (CST). University of Freiburg, Germany.ORCID iD: 0000-0002-8044-9195
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2017 (English)In: Journal of Neuroscience, ISSN 0270-6474, E-ISSN 1529-2401, Vol. 37, no 46, p. 11220-11232Article in journal (Refereed) Published
Abstract [en]

Brief epochs of beta oscillations have been implicated in sensorimotor control in the basal ganglia of task-performing healthy animals. However, which neural processes underlie their generation and how they are affected by sensorimotor processing remains unclear. To determine the mechanisms underlying transient beta oscillations in the LFP, we combined computational modeling of the subthalamo-pallidal network for the generation of beta oscillations with realistic stimulation patterns derived from single-unit data recorded from different basal ganglia subregions in rats performing a cued choice task. In the recordings, we found distinct firing patterns in the striatum, globus pallidus, and subthalamic nucleus related to sensory and motor events during the behavioral task. Using these firing patterns to generate realistic inputs to our network model led to transient beta oscillations with the same time course as the rat LFP data. In addition, our model can account for further nonintuitive aspects of beta modulation, including beta phase resets after sensory cues and correlations with reaction time. Overall, our model can explain how the combination of temporally regulated sensory responses of the subthalamic nucleus, ramping activity of the subthalamic nucleus, and movement-related activity of the globus pallidus leads to transient beta oscillations during behavior.

Place, publisher, year, edition, pages
2017. Vol. 37, no 46, p. 11220-11232
Keywords [en]
basal ganglia, beta oscillations, subthalamo-pallidal network
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-220280DOI: 10.1523/JNEUROSCI.1289-17.2017ISI: 000416593800014PubMedID: 29038241Scopus ID: 2-s2.0-85034621659OAI: oai:DiVA.org:kth-220280DiVA, id: diva2:1169110
Note

QC 20171222

Available from: 2017-12-22 Created: 2017-12-22 Last updated: 2018-01-13Bibliographically approved

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Kumar, Arvind

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