Modulations in the oscillatory activity of the Globus Pallidus internus neurons during a behavioral task-A point process analysis

Shreya Saxena, John T. Gale, Emad N. Eskandar, Sridevi V. Sarma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The behavioral state of a subject is hypothesized to be reflected in the oscillatory modulations of the spiking activity of certain groups of neurons. In particular, the beta- and gamma-bands have been experimentally shown to be related to movement in the motor cortex and parts of the basal ganglia. Here, we analyze the relationship between directional tuning and oscillations in the beta- and gamma-bands of the neurons in the Globus Pallidus internus (GPi) of two healthy nonhuman primates during a radial center-out motor task. We find that, during the planning stages of the movement, the percentage of directionally tuned neurons displaying gamma oscillations increases when compared to the percentage of directionally tuned neurons displaying beta oscillations. A similar trend is not seen in non-directionally tuned neurons. This suggests that the GPi neurons involved in the planning of movement communicate information using an emergence of oscillations in the gamma-band.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages4179-4182
Number of pages4
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)1557-170X

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/TerritoryUnited States
CityBoston, MA
Period8/30/119/3/11

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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