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

Brain Imaging01:14

Brain Imaging

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 Stimulation (TMS).
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by
Same author

Is correction for gradient nonlinearity necessary in a brain diffusion tensor MRI clinical study?

PloS one·2026
Same author

Flexible encoding of multiple task dimensions in human cerebral cortex.

Frontiers in cognition·2026
Same author

The dynamic functional connectivity peak index: Detection of interictal epileptic activity with fMRI.

Epilepsia·2026
Same author

MEASURING IMPACT OF SUPER-RESOLUTION ON SPINAL CORD MRI SCANS: LESION DETECTION SENSITIVITY, VARIABILITY, AND CLINICAL IMPACT.

Proceedings. IEEE International Symposium on Biomedical Imaging·2026
Same author

Disrupted Coupling of Heart Rate-Dependent Brain Network Switching and Attentional Task Performance in Schizophrenia Spectrum Disorders.

medRxiv : the preprint server for health sciences·2026
Same author

A Novel Therapeutic Mechanism for Nicotine Craving in Schizophrenia.

medRxiv : the preprint server for health sciences·2026

Related Experiment Video

Updated: Jul 15, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

Assessing functional connectivity in the human brain by fMRI.

Baxter P Rogers1, Victoria L Morgan, Allen T Newton

  • 1Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN 37232, USA.

Magnetic Resonance Imaging
|May 15, 2007
PubMed
Summary

Functional magnetic resonance imaging (fMRI) reveals brain functional connectivity by analyzing signal fluctuations. This method assesses how brain regions interact during rest and tasks, offering insights into neural 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

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

Related Experiment Videos

Last Updated: Jul 15, 2026

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
07:13

Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

Published on: May 27, 2020

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

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
10:45

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging

Background:

  • Functional magnetic resonance imaging (fMRI) is a primary tool for mapping brain activation.
  • Standard activation maps show average engagement but limit understanding of neural system interactions.
  • fMRI offers potential to reveal functional coupling within large-scale neural systems.

Purpose of the Study:

  • To explore how brain regions contribute to functionally connected circuits.
  • To review and evaluate methods for assessing functional connectivity using fMRI.
  • To understand how brain network correlations change across different states.

Main Methods:

  • Analysis of fMRI data acquired during resting state and continuous activation.
  • Utilizing multivariate statistical methods to infer correlations between brain regions.
  • Examining interregional correlations of MRI signal fluctuations to detect functional connectivity.

Main Results:

  • Interregional correlations indicative of functional connectivity are detectable in resting-state fMRI.
  • Functional connectivity patterns in visual, language, motor, and working memory systems can be identified.
  • Baseline correlations differ from those observed during continuous task performance.

Conclusions:

  • fMRI analysis of signal fluctuations, particularly during steady states, can reveal functional connectivity.
  • Understanding these correlations is crucial for deciphering the contribution of brain regions to neural circuits.
  • The review evaluates various methods for assessing brain connectivity.