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

Functional Brain Systems: Reticular Formation01:13

Functional Brain Systems: Reticular Formation

2.9K
The reticular formation is a complex network of gray and white matter located within the brainstem extending from the medulla to the midbrain.
Within the reticular formation, there are several distinct nuclei that can be classified into three broad categories. The Raphe nuclei are located along the midline of the brainstem. They are primarily known for their role in synthesizing and releasing serotonin, a neurotransmitter involved in regulating mood, appetite, sleep, and circadian rhythms. The...
2.9K

You might also read

Related Articles

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

Sort by
Same author

Susceptibility for extremely low external fluctuations and critical behavior of Greenberg-Hastings neuronal model.

Physical review. E·2026
Same author

Linear scaling of entropy versus energy in human brain activity, the Hagedorn temperature, and the Zipf law.

Physical review. E·2025
Same author

Behavior of the scaling correlation functions under severe subsampling.

Physical review. E·2025
Same author

Mobile Game Evaluation Method Based on Data Mining of Affective Time Series.

Sensors (Basel, Switzerland)·2025
Same author

Using space-filling curves and fractals to reveal spatial and temporal patterns in neuroimaging data.

Journal of neural engineering·2025
Same author

Classification of ROI-based fMRI data in short-term memory tasks using discriminant analysis and neural networks.

Frontiers in neuroinformatics·2025

Related Experiment Video

Updated: Oct 15, 2025

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

7.4K

Revisiting Nonlinear Functional Brain Co-activations: Directed, Dynamic, and Delayed.

Ignacio Cifre1,2, Maria T Miller Flores2, Lucia Penalba1

  • 1Facultat de Psicologia, Ciències de l'Educació i de l'Esport, Blanquerna, Universitat Ramon Llull, Barcelona, Spain.

Frontiers in Neuroscience
|October 29, 2021
PubMed
Summary

This study introduces nonlinear dynamic directed functional connectivity (nldFC) to analyze brain networks. This new method reveals directed information and temporal lags in brain region co-activation patterns.

Keywords:
autism (ASD)dynamic functional connectivityfMRIfunctional connectivityresting state networks

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.5K
Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

11.9K

Related Experiment Videos

Last Updated: Oct 15, 2025

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

7.4K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.5K
Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

11.9K

Area of Science:

  • Neuroscience
  • Neuroimaging
  • Computational Neuroscience

Background:

  • Functional correlations between brain regions are central to neuroimaging.
  • Brain functional networks are a common framework for interpreting experimental findings.
  • Previous work showed strong BOLD activations contain key functional connectivity information, allowing signal compression.

Purpose of the Study:

  • To define a measure of nonlinear dynamic directed functional connectivity (nldFC).
  • To analyze correlation properties of BOLD signal epochs.
  • To offer a novel perspective on brain co-activation patterns.

Main Methods:

  • Revisiting correlation properties of BOLD signal epochs.
  • Developing a metric for nonlinear dynamic directed functional connectivity (nldFC).
  • Applying the metric to an Autistic Syndrome database for proof of concept.

Main Results:

  • The proposed nldFC metric provides directed information on functional correlations.
  • The metric quantifies temporal lags across brain regions.
  • The approach offers a complementary perspective to existing methods for analyzing brain co-activation.

Conclusions:

  • nldFC offers a computationally efficient method for analyzing directed functional connectivity.
  • The metric enhances understanding of temporal dynamics in brain networks.
  • This strategy provides a valuable tool for studying brain functional correlations, with applications in conditions like autism.