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

Modulation of neuronal interactions through neuronal synchronization.

Thilo Womelsdorf1, Jan-Mathijs Schoffelen, Robert Oostenveld

  • 1F. C. Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, 6525 EN Nijmegen, Netherlands. thilo.womelsdorf@fcdonders.ru.nl

Science (New York, N.Y.)
|June 16, 2007
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

A hybrid micro-ECoG for functionally targeted multi-site and multi-scale investigation.

Cell reports methods·2026
Same author

Predicting time across age: comparing performance and neural dynamics of younger and older adults in a temporal prediction task.

Frontiers in aging neuroscience·2026
Same author

Inter-subject correlations and their behavioral associations vary across movies: Implications for generalizability.

bioRxiv : the preprint server for biology·2026
Same author

Cognitive effects of STN-DBS on mental rotation performance in Parkinson's disease.

Scientific reports·2026
Same author

A hybrid micro-ECoG for functionally targeted multi-site and multi-scale investigation.

bioRxiv : the preprint server for biology·2026
Same author

Low-rank tensor decomposition for cross-bispectral analysis of EEG data.

Journal of neuroscience methods·2026
Same journal

Erratum for the Research Article "Detecting supramolecular organic nanoparticles during heat wave".

Science (New York, N.Y.)·2026
Same journal

Local signals, systemic decline.

Science (New York, N.Y.)·2026
Same journal

The mechanics of liver regeneration.

Science (New York, N.Y.)·2026
Same journal

Computing in a memory with physics.

Science (New York, N.Y.)·2026
Same journal

Retraction.

Science (New York, N.Y.)·2026
Same journal

Making time.

Science (New York, N.Y.)·2026
See all related articles

Neuronal group interactions are dynamically controlled by synchronized brain rhythms. Specific phase relations in neural activity predict and facilitate subsequent interactions, suggesting flexible synchronization patterns guide brain processing.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Brain function relies on complex interactions between neuronal groups.
  • The mechanisms modulating the effective strength of neuronal connections are not fully understood.
  • Anatomical connectivity patterns alone do not fully explain neuronal communication.

Purpose of the Study:

  • To investigate the role of rhythmic neuronal activity in modulating interactions between neuronal groups.
  • To determine if phase relations between rhythmic activities influence neuronal communication.
  • To explore the dynamic mechanisms governing effective neuronal connectivity.

Main Methods:

  • Analysis of rhythmic activity patterns in neuronal groups.
  • Investigating the temporal relationship between phase synchrony and neuronal interactions.

Related Experiment Videos

  • Examining the specificity of these effects in time, frequency, and space.
  • Main Results:

    • Mutual influence between neuronal groups is dependent on the phase relation of their rhythmic activities.
    • Phase relations supporting interactions temporally preceded the interactions by milliseconds.
    • These phase-dependent effects demonstrated specificity across time, frequency, and spatial domains.

    Conclusions:

    • Flexible synchronization patterns of neuronal activity play a crucial role in determining the pattern of neuronal interactions.
    • Rhythmic neuronal activity and its phase relations offer a mechanistic explanation for dynamically modulated neuronal communication.
    • This provides a framework for understanding how the brain flexibly shapes functional connectivity.