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

3.5K
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...
3.5K
Anatomy of the Brain: Major Regions01:20

Anatomy of the Brain: Major Regions

8.6K
The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect...
8.6K
Brain Imaging01:14

Brain Imaging

512
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
512

You might also read

Related Articles

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

Sort by
Same author

A mechanism for pathological oscillations in mouse retinal ganglion cells in a model of night blindness.

The Journal of general physiology·2025
Same author

Emergence of input selective recurrent dynamics via information transfer maximization.

Scientific reports·2024
Same author

Author Correction: Mechanisms of simultaneous linear and nonlinear computations at the mammalian cone photoreceptor synapse.

Nature communications·2024
Same author

Mechanisms of simultaneous linear and nonlinear computations at the mammalian cone photoreceptor synapse.

Nature communications·2023
Same author

The network configuration in Parkinsonian state compensates network activity change caused by loss of dopamine.

Physiological reports·2023
Same author

Association between different sensory modalities based on concurrent time series data obtained by a collaborative reservoir computing model.

Scientific reports·2023

Related Experiment Video

Updated: Nov 30, 2025

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

26.7K

[Analyses of Functional Connectivity between Brain Regions].

Katsunori Kitano1

  • 1Department of Information Science and Engineering, Ritsumeikan University.

Brain and Nerve = Shinkei Kenkyu No Shinpo
|November 16, 2020
PubMed
Summary

Understanding brain function requires analyzing neural communication. Functional connectivity analysis reveals how brain regions interact, aiding in understanding cognitive processes and diagnosing neurological diseases.

More Related Videos

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.4K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.4K

Related Experiment Videos

Last Updated: Nov 30, 2025

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

26.7K
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

10.4K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.4K

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging Analysis

Background:

  • Higher-order cognitive functions depend on intricate neural communication between brain regions.
  • Understanding these brain mechanisms is crucial for advancing neuroscience.
  • Functional connectivity analysis is increasingly vital for studying whole-brain dynamics.

Purpose of the Study:

  • To explain the fundamental principles of functional connectivity analysis.
  • To introduce various established methods for functional connectivity analysis.
  • To explore the application of functional connectivity in diagnosing neurological diseases.

Main Methods:

  • Functional connectivity analysis examines spatiotemporal dynamics across the whole brain.
  • It is based on functional or effective connections, defined by statistical correlations or causal relationships in neural activity.
  • Methods include statistical correlation and causal modeling of neural signals.

Main Results:

  • The manuscript provides a foundational understanding of functional connectivity analysis.
  • Representative analytical methods are detailed.
  • The utility of functional connectivity in neurological disease diagnosis is presented.

Conclusions:

  • Functional connectivity analysis is a key tool for understanding brain function and neural communication.
  • This approach offers insights into cognitive processes.
  • It holds significant potential for the diagnosis and management of neurological disorders.