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

Phase correlation among rhythms present at different frequencies: spectral methods, application to microelectrode

T Schanze1, R Eckhorn

  • 1Department of Physics, Philipps-University, Marburg, Germany.

International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
|June 1, 1997
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

DualSort: online spike sorting with a running neural network.

Journal of neural engineering·2023
Same author

Estimation of Sparse VAR Models with Artificial Neural Networks for the Analysis of Biosignals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same author

Analytic Signal Based Detection of Extracellular Action Potentials.

Biomedizinische Technik. Biomedical engineering·2013
Same author

Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models.

IEEE transactions on neural networks·2008
Same author

Assessing the encoding of stimulus attributes with rapid sequences of stimulus events.

Journal of computational neuroscience·2002
Same author

A model-based approach for the analysis of neuronal information transmission in multi-input and -output systems.

Journal of computational neuroscience·2002

Brain rhythms at different frequencies interact, challenging the idea of independent brain operations. This study found significant phase correlations between low and gamma frequencies in visual cortex, suggesting roles in feature linking and information processing.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Signal Processing

Background:

  • Classical electroencephalography (EEG) analysis assumes distinct brain rhythms are independent.
  • Evidence for independence is limited due to conceptual and computational challenges.
  • Brain structures' recurrent connectivity suggests rhythmic processes may be coupled.

Purpose of the Study:

  • To investigate interactions among rhythmic brain signals at different frequencies.
  • To explore coupling between low-frequency bands and gamma-activity (30-90 Hz).
  • To assess non-linear correlations and phase coupling between various frequency bands.

Main Methods:

  • Applied advanced spectral analysis techniques, including trispectrum, bispectrum, and bicoherence.

Related Experiment Videos

  • Analyzed multi-unit spike activities (MUA) and local slow wave field potentials (LFP) from cat and monkey visual cortex.
  • Utilized sliding window analysis on short signal epochs (approx. 250 ms).

    • Main Results:

    • Significant phase correlations found in ~60% of MUA and LFP recordings.
    • Couplings observed within gamma range, between gamma and low frequencies (1-30 Hz), and within low frequencies.
    • Phase correlations often depended on specific visual stimulation, including non-harmonic frequencies.

    Conclusions:

    • Demonstrated significant non-linear phase coupling between different frequency bands in the visual cortex.
    • Proposed functional roles including visual feature linking, linking cortical to subcortical areas, and temporal segmentation of visual information.
    • Highlighted the potential for these findings to be further investigated in behaving animals.