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

Measuring phase synchrony in brain signals.

J P Lachaux1, E Rodriguez, J Martinerie

  • 1Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale, CNRS UPR 40 Hôpital de La Salpêtrière, Paris, France.

Human Brain Mapping
|January 5, 2000
PubMed
Summary

This study introduces phase-locking statistics (PLS), a new method to quantify neural signal synchronization. PLS reveals frequency-specific brain network activity during cognitive tasks.

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

Frequency of tuberculous and non-tuberculous mycobacteria in HIV infected patients from Bogota, Colombia.

BMC infectious diseases·2001
Same author

[Trichophyton violaceum: an emergent pathogen].

Enfermedades infecciosas y microbiologia clinica·2001
Same author

New hope in tipranavir. New Boehringer-Ingelheim protease inhibitor may succeed where others fall short.

Positive living (Los Angeles, Calif.)·2001
Same author

The U.N. steps to the plate.

Positive living (Los Angeles, Calif.)·2001
Same author

ATP synthase is necessary for microcin H47 antibiotic action.

Antimicrobial agents and chemotherapy·2001
Same author

Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony.

Journal of neuroscience methods·2001

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Signal Processing

Background:

  • Neural synchronies are proposed as a mechanism for long-range neural integration during cognitive tasks.
  • Quantifying transient phase-locking between neuroelectric signals is crucial for understanding brain function.
  • Existing methods like spectral coherence have limitations in separating phase and amplitude components.

Purpose of the Study:

  • To present a novel, practical method for direct quantification of frequency-specific synchronization between two neuroelectric signals.
  • To introduce phase-locking statistics (PLS) as a tool to investigate neural synchronies and their role in cognitive processing.
  • To validate the PLS method and demonstrate its application in analyzing real neurophysiological data.

Main Methods:

Related Experiment Videos

  • Developed phase-locking statistics (PLS) to measure phase covariance between signals with high time-resolution (<100 ms).
  • PLS separates phase and amplitude components, allowing direct interpretation in the context of neural integration.
  • Utilized surrogate data validation to assess synchrony significance against background fluctuations without data assumptions.

Main Results:

  • Applied PLS to intracortical recordings from an epileptic patient during a visual discrimination task.
  • Identified significant large-scale gamma-band synchronies (e.g., hippocampus to frontal gyrus) and local synchronies within a limbic region.
  • Distinguished between long-range synchronies potentially reflecting cognitive processing and short-range synchronies likely due to volume conduction.

Conclusions:

  • Phase-locking statistics (PLS) provides a robust method for quantifying neural signal synchronization.
  • Long-range synchronies observed in gamma band may play a role in cognitive task performance.
  • Further research is needed to refine methods for separating true synchrony from volume conduction effects.