2-APB reduces the complexity of hippocampal γ oscillations in rats

Yasemin M. Akay, Andrei Dragomire, Jie Wu, Metin Akay

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

1 Scopus citations

Abstract

Previous studies suggested that γ oscillations in the brain are associated with higher order cognitive function including selective visual attention, motor task planning, sensory perception, working memory and dreaming REM sleep. These oscillations are mainly observed in cortical regions and also occurs in neocortical and subcortical areas and the hippocampus. In this paper, we investigate the influence of acute exposure to 2-APB exposure on the complexity of hippocampal γ gamma oscillations. Our central hypothesis is that acute exposure to 2 APB significantly reduce the hippocampal γ oscillations. In order to test this hypothesis, we use brainslice recordings and the advanced nonlinear dynamical analysis method based on the Lempel-Ziv estimator. Our nonlinear dynamical analysis of brain slice recordings results suggested that 2-APB exposure significantly reduces the hippocampal gamma oscillations.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Pages3680-3681
Number of pages2
StatePublished - 2008
Externally publishedYes
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/TerritoryCanada
CityVancouver, BC
Period8/20/088/25/08

Keywords

  • 2-APB
  • Lempel-Ziv complexity
  • Matching pursuit

ASJC Scopus subject areas

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

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