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

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

7T 3D-EPI PCASL With High SNR Efficiency and Robustness to Through-Plane B<sub>0</sub> Field Gradients.

Magnetic resonance in medicine·2026
Same author

Correction to "Perfluorinated Iridium Catalyst for Signal Amplification by Reversible Exchange Provides Metal-Free Aqueous Hyperpolarized [1-<sup>13</sup>C]-Pyruvate".

Journal of the American Chemical Society·2026
Same author

Thalamic involvement defines distinct slow-wave subtypes in NREM sleep.

Communications biology·2026
Same author

Mesoscale Whole-Brain T<sub>2</sub>*-Weighted and Associated Quantitative MRI in Humans at 10.5 T.

Magnetic resonance in medicine·2026
Same author

Sleep-stage dependent patterning of slowly propagating brain activity.

Npj biological timing and sleep·2026
Same author

Sensory encoding and memory retrieval are coordinated with propagating waves in the human brain.

Nature communications·2026
Same journal

Decoding neuronal criticality firing patterns for large brain based EEG models.

NeuroImage·2026
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Jul 7, 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

Mapping resting-state functional connectivity using perfusion MRI.

Kai-Hsiang Chuang1, Peter van Gelderen, Hellmut Merkle

  • 1Laboratory of Functional and Molecular Imaging, National Institutes of Health, Bethesda, MD 20892-1060, USA.

Neuroimage
|March 4, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for mapping brain connectivity using cerebral blood flow (CBF) fluctuations. The technique enhances sensitivity and reduces signal contamination, revealing strong CBF correlations in sensorimotor areas.

More Related Videos

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
12:41

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

Related Experiment Videos

Last Updated: Jul 7, 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

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
12:41

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

Area of Science:

  • Neuroimaging
  • Physiology

Background:

  • Resting-state functional connectivity is often studied using blood oxygenation level-dependent (BOLD) signals, which reflect hemodynamic changes.
  • Cerebral blood flow (CBF) fluctuations during rest are less studied due to technical challenges in perfusion imaging, including low sensitivity and BOLD signal contamination.

Purpose of the Study:

  • To develop and validate a quantitative functional connectivity mapping method based on CBF fluctuations.
  • To overcome the limitations of existing arterial spin labeling (ASL) techniques for measuring resting-state CBF.

Main Methods:

  • Utilized continuous arterial spin labeling (CASL) with enhanced sensitivity via a neck labeling coil and multi-channel receiver coil.
  • Employed high-pass filtering of the CASL signal to isolate CBF fluctuations and minimize BOLD contamination.
  • Applied sinc interpolation to correct for timing mismatches between image acquisition types.

Main Results:

  • Demonstrated successful CBF-based functional connectivity mapping with significant suppression of BOLD contamination.
  • Observed high CBF correlations in bilateral sensorimotor areas across most subjects.
  • Quantified CBF fluctuations contributing to bilateral correlations at 29+/-19% of baseline perfusion, compared to minimal BOLD fluctuations (0.26+/-0.14%).

Conclusions:

  • The developed CASL-based method provides a sensitive and robust approach for quantitative functional connectivity analysis using CBF.
  • This technique offers a valuable alternative to BOLD-based connectivity, particularly for studying brain function with greater physiological specificity.