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

Association Areas of the Cortex01:21

Association Areas of the Cortex

10.2K
Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...
10.2K
Functional Brain Systems: Limbic System01:15

Functional Brain Systems: Limbic System

8.8K
The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep brain...
8.8K
Organization of the Brain01:30

Organization of the Brain

3.8K
The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
3.8K

You might also read

Related Articles

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

Sort by
Same author

MRI acute/sub-acute ischemic stroke segmentation with deep learning: A comprehensive review.

International review of cell and molecular biology·2026
Same author

Robust Discriminant Subspace Learning With α-Divergence for Image Classification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

The nonlinear trajectory of post-stroke aphasia recovery.

Frontiers in human neuroscience·2026
Same author

Voxel-wise deep learning segmentation of hydroxyapatite and iodine in spectral photon-counting CT: A quantitative phantom study.

PloS one·2026
Same author

VarCoNet: A Variability-Aware Self-Supervised Framework for Functional Connectome Extraction From Resting-State fMRI.

Human brain mapping·2026
Same author

DUCore: Dual Uncertainty-Guided Consistency and Regional Contrastive Learning for Semi-supervised Medical Image Segmentation.

IEEE journal of biomedical and health informatics·2026
Same journal

Benchmarking fMRI Denoising Pipelines.

Human brain mapping·2026
Same journal

Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits.

Human brain mapping·2026
Same journal

Intrinsic Functional Architecture Reflects Individual Differences in Passive Working Memory: An Exploratory Resting-State fMRI Study.

Human brain mapping·2026
Same journal

Symptom Overlap and Neurobiological Similarities Between Posttraumatic Stress Disorder and Tinnitus.

Human brain mapping·2026
Same journal

Test-Retest Reliability of Sensorimotor Activity Measured With Spinal Cord fMRI.

Human brain mapping·2026
Same journal

The Human Visual Claustrum Responses to Physical Stimulus Properties and Subjective Content During Movie Viewing.

Human brain mapping·2026
See all related articles

Related Experiment Video

Updated: May 2, 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

9.4K

A Statistical Characterization of Dynamic Brain Functional Connectivity.

Winn W Chow1, Abd-Krim Seghouane2, Mohamed L Seghier3,4

  • 1School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia.

Human Brain Mapping
|February 1, 2025
PubMed
Summary
This summary is machine-generated.

This study provides statistical evidence for dynamic functional connectivity in mental disorders using resting-state fMRI. Distinct patterns were identified as potential biomarkers for ADHD, bipolar disorder, and schizophrenia.

Keywords:
Pearson's correlationbeta distributiondynamic functional connectivityempirical distribution analysisnon‐stationarityresting‐state fMRI

More Related Videos

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

7.2K
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

5.6K

Related Experiment Videos

Last Updated: May 2, 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

9.4K
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

7.2K
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

5.6K

Area of Science:

  • Neuroscience
  • Statistics
  • Psychiatry

Background:

  • Dynamic functional connectivity (dFC) in mental disorders remains debated due to a lack of empirical distribution analysis.
  • Previous research has not sufficiently demonstrated the non-stationarity of functional connectivity distributions.

Purpose of the Study:

  • To provide statistical evidence for the existence of dFC by analyzing the empirical probability distribution of functional connectivity.
  • To investigate dFC patterns in individuals with ADHD, bipolar disorder, and schizophrenia compared to healthy controls.

Main Methods:

  • Utilized resting-state fMRI data from 186 subjects from the UCLA Consortium for Neuropsychiatric Phenomics dataset.
  • Employed individual voxel signals and Pearson's correlation to analyze temporal variations and non-stationarity in functional connectivity.
  • Applied beta distribution to model the empirical distribution of correlation coefficients across 49 regions of interest.

Main Results:

  • The empirical distribution of the correlation coefficient demonstrated non-stationarity.
  • The beta distribution accurately approximated the exact correlation coefficient distribution.
  • Distinct dFC patterns, derived from fitted beta distributions, were identified and showed potential as biomarkers for mental disorders.

Conclusions:

  • The study presents the first comprehensive empirical distribution analysis of dFC, providing strong evidence for its existence.
  • Identified unique dFC patterns across different mental disorders, suggesting their potential utility as biomarkers.
  • Introduced an innovative statistical approach to understand the dynamic nature of functional connectivity in resting-state fMRI data.