Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Inhibition-based rhythms: experimental and mathematical observations on network dynamics.

M A Whittington1, R D Traub, N Kopell

  • 1School of Biomedical Sciences, The Worsley Building, University of Leeds, LS2 9NL, Leeds, UK. m.whittington@leeds.ac.uk

International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
|December 5, 2000
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Comparison between Mouse, <i>In Silico</i>, and Robot Odor Plume Navigation Reveals Advantages of Mouse Odor Tracking.

eNeuro·2020
Same author

The Cognitive Role of the Globus Pallidus interna; Insights from Disease States.

Experimental brain research·2017
Same author

Rotating waves in simple scalar excitable media: approximations and numerical solutions.

Journal of mathematical biology·2016
Same author

Unbalanced Peptidergic Inhibition in Superficial Neocortex Underlies Spike and Wave Seizure Activity.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2015
Same author

Emergence of a 600-Hz buzz UP state Purkinje cell firing in alert mice.

Neuroscience·2014
Same author

Striatal origin of the pathologic beta oscillations in Parkinson's disease.

Proceedings of the National Academy of Sciences of the United States of America·2011

Central nervous system oscillations (12-80 Hz) are driven by inhibitory interneurons and influenced by GABA(A) receptor activity. This review explores their generation and function using diverse research methods.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Pharmacology

Background:

  • Oscillations in the 12-80 Hz range (beta and gamma EEG bands) are linked to inhibitory interneuron activity in the central nervous system (CNS).
  • Pharmacological agents affecting GABA(A) receptors and inhibitory neuronal function significantly impact these rhythms.
  • Existing research highlights common mechanisms and network dynamics in generating various frequency oscillations.

Purpose of the Study:

  • To review the fundamental properties of inhibition-based oscillations in the CNS.
  • To synthesize findings from laboratory models, neuronal network simulations, and mathematical analyses.
  • To elucidate the mechanisms and functional significance of neuronal oscillations.

Main Methods:

  • Review of existing literature on spontaneous and sensory-evoked EEG potentials.

Related Experiment Videos

  • Analysis of experimental models, particularly for gamma-frequency oscillations.
  • Utilizing computer and mathematical modeling of large-scale neuronal networks.
  • Integration of clinical and experimental observations.

    • Main Results:

    • Demonstration of the critical role of inhibitory interneurons in generating 12-80 Hz oscillations.
    • Evidence of significant pharmacological modulation of these rhythms via GABA(A) receptor pathways.
    • Identification of shared and distinct network dynamics underlying different oscillation frequencies.
    • Insights into oscillation generation as an emergent property of neuronal networks.

    Conclusions:

    • Inhibitory interneurons are fundamental to CNS oscillations within the 12-80 Hz range.
    • Pharmacological interventions targeting GABA(A) receptors profoundly influence neuronal rhythms.
    • Computational and mathematical models offer powerful tools for understanding complex network behaviors and oscillation mechanisms.