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

Evidence for slow brain waves: a dynamical approach.

A Babloyantz1

  • 1Université Libre de Bruxelles, Service de Chimie Physique, Brussels, Belgium.

Electroencephalography and Clinical Neurophysiology
|May 1, 1991
PubMed
Summary
This summary is machine-generated.

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

Pacemaker-Induced Coherence in Cortical Networks.

Neural computation·2019
Same author

Pattern segmentation in a binary/analog world: unsupervised learning versus memory storing.

Neural networks : the official journal of the International Neural Network Society·2000
Same author

Brain chaos and computation.

International journal of neural systems·1996
Same author

Control of spatiotemporal chaos in neuronal networks.

International journal of neural systems·1996
Same author

Computation with chaos: a paradigm for cortical activity.

Proceedings of the National Academy of Sciences of the United States of America·1994
Same author

Ionic mechanisms for intrinsic slow oscillations in thalamic relay neurons.

Biophysical journal·1993

Recurrence plots reveal slow periodicities in electroencephalogram (EEG) data from Creutzfeldt-Jakob disease patients. This non-linear dynamics technique helps uncover hidden brain activity patterns and assess stationarity.

Area of Science:

  • Neuroscience
  • Non-linear dynamics
  • Signal processing

Background:

  • Electroencephalogram (EEG) analysis benefits from non-linear dynamics techniques.
  • Recurrence plots are effective tools for identifying patterns in complex data.
  • Understanding brain dynamics in neurological disorders is crucial.

Purpose of the Study:

  • To explore the utility of recurrence plots in analyzing EEG data.
  • To investigate brain dynamics in Creutzfeldt-Jakob disease (CJD) using non-linear methods.
  • To identify hidden periodicities and assess the stationarity of brain activity in EEG.

Main Methods:

  • Application of non-linear dynamical analysis techniques to EEG data.
  • Utilizing recurrence plots to visualize and analyze EEG signal characteristics.

Related Experiment Videos

  • Focusing on EEG recordings from a patient diagnosed with Creutzfeldt-Jakob disease.

    • Main Results:

    • Recurrence plots successfully revealed slow periodicities in the EEG data.
    • Identified periodicities were on the order of approximately 58 seconds.
    • Demonstrated the presence of non-stationarity in the brain activity patterns.

    Conclusions:

    • Recurrence plots are powerful tools for detecting subtle periodicities in EEG signals.
    • This method offers valuable insights into the dynamics of brain activity.
    • Recurrence plots can aid in characterizing the stationarity of EEG signals, potentially assisting in disease diagnosis.