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Article
Cerebellar Source Localization using Event-Related Potentials in a Simple Motor Task
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
  • Efrain Torres, Prefectural University of Kumamoto
  • Scott A. Beardsley, Marquette University
Document Type
Article
Language
eng
Publication Date
3-20-2019
Publisher
Institute of Electrical and Electronics Engineers
Abstract

Electroencephalography (EEG) is widely used to characterize the temporal patterns of electrical activity, primarily associated with neocortex. Traditionally, the sensitivity of EEG to cerebellar activity has been considered limited with the electrical potentials assumed to stem from cortical pyramidal cells. This study leverages recent work examining the structure, organization, and synchrony of purkinje neurons to promote local field potentials measured by EEG. In conjunction with high fidelity EEG recording and source imaging analysis we examined the feasibility of using current EEG systems to characterize cerebellar function in a series of simple motor tasks. Distributed source imaging analysis revealed consistent task-related cerebellar activity across subjects whose time course was consistent with cerebellar involvement for the control of voluntary movement. The results demonstrate the feasibility of using current EEG systems and source imaging techniques to resolve activity in the cerebellum that is distinct from task-related activity in cortex.

Comments

Accepted version. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), (March 20-23, 2019): 1076-1079. DOI. © 2019 The Institute of Electrical and Electronics Engineers. Used with permission.

Scott Beardsley was affiliated with the Prefectural University of Kumamoto at the time of publication.

Citation Information
Efrain Torres and Scott A. Beardsley. "Cerebellar Source Localization using Event-Related Potentials in a Simple Motor Task" 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (2019) ISSN: 9781538679227
Available at: http://works.bepress.com/scott-beardsley/12/