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 Concept Videos

Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Phase Transitions02:31

Phase Transitions

Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to occupy...
Phase Transitions01:21

Phase Transitions

A phase transition is the process in which a substance changes from one state of matter to another, like from a solid to a liquid, liquid to gas, or vice versa, at a specific temperature and under given pressure conditions. This change is spontaneous and is affected by alterations in temperature and pressure. These parameters impact the strength of the forces between molecules (intermolecular forces) in the substance.During a phase transition, both the initial and final phases of the substance...
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any finite,...
Transient and Steady-state Response01:24

Transient and Steady-state Response

In control systems, test signals are essential for evaluating performance under various conditions. The ramp function is effective for systems undergoing gradual changes, while the step function is suitable for assessing systems facing sudden disturbances. For systems subjected to shock inputs, the impulse function is the most appropriate test signal.
These test signals are integral in designing control systems to exhibit two key performance aspects: transient response and steady-state response.
Phase Changes01:19

Phase Changes

Phase transitions play an important theoretical and practical role in the study of heat flow. In melting or fusion, a solid turns into a liquid; the opposite process is freezing. In evaporation, a liquid turns into a gas; the opposite process is condensation.
A substance melts or freezes at a temperature called its melting point and boils or condenses at its boiling point. These temperatures depend on pressure. High pressure favors the denser form of the substance, so typically, high pressure...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Topographic Variation in Human Neurotransmitter Receptor Densities Explains Differences in Intracranial EEG Spectra.

Human brain mapping·2025
Same author

Canalization and plasticity in psychopathology.

Neuropharmacology·2022
Same author

REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics.

Pharmacological reviews·2019
Same author

A validation of dynamic causal modelling for 7T fMRI.

Journal of neuroscience methods·2018
Same author

Neurophysiologically-informed markers of individual variability and pharmacological manipulation of human cortical gamma.

NeuroImage·2017
Same author

Dynamic causal modelling revisited.

NeuroImage·2017
Same journal

Brain Aging in Specific Phobia: An ENIGMA-Anxiety Mega-Analysis.

Human brain mapping·2026
Same journal

Talking to the Brain: Using Large Language Models as Proxies to Model Brain Semantic Features.

Human brain mapping·2026
Same journal

Emotional Context Modulates the Response to Somatosensory Stimuli Within 20 milliseconds.

Human brain mapping·2026
Same journal

GABAergic Modulation of Brain Function During Prosaccade and Antisaccade Eye Movements: Evidence From Ultra-High-Field fMRI.

Human brain mapping·2026
Same journal

Injury Severity Influences Long-Term Cognitive Control in Pediatric "Mild" Traumatic Brain Injury.

Human brain mapping·2026
Same journal

Early Adulthood Signatures of Motherhood in Brain Aging.

Human brain mapping·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Transient phase-locking and dynamic correlations: Are they the same thing?

K J Friston1, K M Stephan, R S Frackowiak

  • 1Wellcome Department of Cognitive Neurology, Institute of Neurology, London WC1N 3BG, United Kingdom.

Human Brain Mapping
|April 22, 2010
PubMed
Summary
This summary is machine-generated.

Transient phase-locking is essential for dynamic, frequency-specific neuronal correlations. This study links gamma-frequency phase-locking to dynamic prefronto-parietal correlations during self-paced movements.

More Related Videos

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
14:12

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies
05:59

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies

Published on: October 6, 2023

Related Experiment Videos

Last Updated: Jun 13, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells
14:12

Dual-Color Fluorescence Cross-Correlation Spectroscopy to Study Protein-Protein Interaction and Protein Dynamics in Live Cells

Published on: December 11, 2021

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies
05:59

New Framework for Understanding Cross-Brain Coherence in Functional Near-Infrared Spectroscopy (fNIRS) Hyperscanning Studies

Published on: October 6, 2023

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Brain Dynamics

Background:

  • Characterizing dynamic correlations in neuronal activity is crucial for understanding brain function.
  • Transient phase-locking at high frequencies (gamma band) is implicated in neural communication.
  • Existing methods like joint-peri-stimulus time histograms (J-PSTHs) analyze spike train correlations.

Purpose of the Study:

  • To investigate the relationship between transient phase-locking and dynamic event-related correlations in neuronal activity.
  • To demonstrate that transient phase-locking is a prerequisite for frequency-specific, dynamic correlations.
  • To explore these phenomena in the context of self-paced movements using neuromagnetic signals.

Main Methods:

  • Utilized joint-peri-stimulus time histograms (J-PSTHs) to analyze dynamic correlations in multiunit recordings.
  • Measured neuromagnetic signals from prefrontal and parietal regions during self-paced movements.
  • Focused on the gamma-frequency (36 Hz) component of the neuromagnetic signals.

Main Results:

  • J-PSTH analysis revealed dynamic changes in prefronto-parietal correlations relative to movement onset.
  • These dynamic correlations were frequency-specific, particularly in the gamma band.
  • Observed associations between dynamic correlations and changes in the degree of phase-locking.

Conclusions:

  • Transient phase-locking at gamma frequencies is necessary for dynamic, frequency-specific event-related correlations.
  • Neuromagnetic signals demonstrate transient phase-locking and dynamic correlations during self-paced movements.
  • This study integrates spike train analysis with continuous signal analysis to understand neuronal dynamics.