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

The brainstem reticular formation is a small-world, not scale-free, network.

M D Humphries1, K Gurney, T J Prescott

  • 1Adaptive Behaviour Research Group, Department of Psychology, University of Sheffield, Sheffield S10 2TP, UK. m.d.humphries@sheffield.ac.uk

Proceedings. Biological Sciences
|April 18, 2006
PubMed
Summary

This study models the medial reticular formation (RF) using network science. The brainstem

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

Renal trace elements in barren-ground caribou subpopulations: Temporal trends and differing effects of sex, age and season.

The Science of the total environment·2020
Same author

SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models.

Neuroinformatics·2016
Same author

Monitoring Spiking Activity of Many Individual Neurons in Invertebrate Ganglia.

Advances in experimental medicine and biology·2015
Same author

Implementing spiking neural networks for real-time signal-processing and control applications: a model-validated FPGA approach.

IEEE transactions on neural networks·2008
Same author

Is there a brainstem substrate for action selection?

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2007
Same author

Testing computational hypotheses of brain systems function: a case study with the basal ganglia.

Network (Bristol, England)·2004

Area of Science:

  • Neuroscience
  • Network Science
  • Graph Theory

Background:

  • Complex systems often exhibit small-world and scale-free network properties.
  • Previous studies applied these concepts to primate cortical areas and C. elegans.
  • The medial reticular formation (RF) is a crucial vertebrate brainstem structure lacking recent quantitative analysis.

Purpose of the Study:

  • To provide the first quantitative model and review of the medial reticular formation (RF) in over 30 years.
  • To perform the first graph-theoretic analysis of vertebrate brain connectivity at the neural network level.
  • To develop metrics for assessing small-world and scale-free network characteristics.

Main Methods:

  • Applied graph theory to analyze the neural connectivity of the medial reticular formation (RF).

Related Experiment Videos

  • Developed and utilized novel metrics to quantify network properties.
  • Compared the RF network structure to established small-world and scale-free models.
  • Main Results:

    • The medial reticular formation (RF) exhibits characteristics of a small-world network.
    • The medial reticular formation (RF) does not conform to a scale-free network topology.
    • The study provides quantitative metrics for assessing these network properties.

    Conclusions:

    • The medial RF's network configuration supports efficient, rapid information processing characteristic of small-world networks.
    • The findings highlight the utility of graph theory in understanding brainstem circuitry.
    • This analysis offers new insights into the functional organization of the medial reticular formation.