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Related Experiment Video

Updated: Jul 12, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
06:50

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Behavior Differentially Shapes Spontaneous Cortical Network Dynamics Across Frequencies.

Lisa Meyer-Baese, Dieter Jaeger, Shella Keilholz

    Biorxiv : the Preprint Server for Biology
    |July 10, 2026
    PubMed
    Summary

    Behavior shapes brain network dynamics differently across frequencies and signal types. Cortical networks use frequency-dependent principles to manage brain states, influencing persistence and expression during complex behaviors.

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    Area of Science:

    • Neuroscience
    • Systems Neuroscience
    • Computational Neuroscience

    Background:

    • Complex behaviors and cognition rely on coordinated neural activity across distributed brain networks.
    • Understanding how parallel processing occurs across different timescales and behavioral states is a key challenge in neuroscience.

    Purpose of the Study:

    • To investigate how behavior influences cortical network dynamics across various frequencies and signal types.
    • To elucidate the principles governing large-scale brain states and their modulation by behavior.

    Main Methods:

    • Simultaneous fast wide-field voltage and hemodynamic imaging were employed in awake mice.
    • Analysis focused on functional connectivity and network dynamics across different frequency bands and signal types.

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    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
    08:51

    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

    Published on: November 1, 2019

    Related Experiment Videos

    Last Updated: Jul 12, 2026

    Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
    06:50

    Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

    Published on: October 30, 2018

    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
    08:51

    Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

    Published on: November 1, 2019

    Main Results:

    • Behavior differentially shapes cortical network dynamics, impacting both low-frequency/hemodynamic and high-frequency activity.
    • Low-frequency and hemodynamic signals show behavior-dependent state persistence, while high-frequency activity displays stable structure modulated by state expression.
    • Shared network organization is maintained across timescales and signal types, despite distinct temporal dynamics.

    Conclusions:

    • Cortical networks operate under frequency-dependent principles that dictate how behavior influences the persistence and expression of large-scale brain states.
    • Functional connectivity can emerge from distinct temporal dynamics, highlighting the complexity of neural information processing.