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

4.9K
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...
4.9K

You might also read

Related Articles

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

Sort by
Same author

Objective quality assessment for precision functional MRI data.

Neuron·2026
Same author

Unraveling the Complexity of Multilingual Comprehension: Neuroimaging and Linguistic Profiling in 700+ Adults.

Scientific data·2026
Same author

Broad vs narrow focus: how frequency and focal size affect transcranial ultrasound stimulation in motor cortex.

Journal of neural engineering·2026
Same author

Transcranial ultrasound stimulation for neuromodulation in movement disorders.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026
Same author

Exploratory associations of sleep spindles and sleep disordered breathing indices with hippocampal and thalamic volume, and cortical thickness, and cerebrovascular biomarkers among community dwelling older adults: results from the Brain in Motion Study.

Sleep advances : a journal of the Sleep Research Society·2026
Same author

Sex differences in cerebrovascular function across an aerobic exercise intervention in older adults using MRI: Results from the Brain in Motion study.

Physiological reports·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Jun 2, 2025

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

13.6K

Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label

Alexander D Cohen1, Stefano Moia2,3, G Bruce Pike4

  • 1Department of Radiology, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA. acohen@mcw.edu.

Scientific Reports
|January 15, 2025
PubMed
Summary
This summary is machine-generated.

This study explored brain blood flow and oxygenation coupling in healthy adults using advanced MRI. Findings reveal distinct coupling patterns in major brain networks, suggesting potential for neurovascular research.

Keywords:
Arterial spin labelingBOLDBOLD-CBF couplingMulti-echoMultiband

More Related Videos

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

487
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K

Related Experiment Videos

Last Updated: Jun 2, 2025

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling
12:29

Magnetic Resonance Imaging Quantification of Pulmonary Perfusion using Calibrated Arterial Spin Labeling

Published on: May 30, 2011

13.6K
Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
05:23

Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders

Published on: May 31, 2024

487
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.5K

Area of Science:

  • Neuroimaging
  • Neurovascular Physiology
  • Brain Function

Background:

  • Neurovascular coupling (NVC) alterations are implicated in aging and neurodegeneration.
  • Simultaneous measurement of cerebral blood flow (CBF) and blood oxygenation dependent (BOLD) signals offers insights into neurovascular dynamics.
  • Resting-state (RS) functional magnetic resonance imaging (fMRI) metrics can be derived from BOLD data.

Purpose of the Study:

  • To evaluate the patterns of BOLD-CBF coupling using simultaneous ASL and BOLD data.
  • To correlate BOLD-CBF coupling with resting-state fMRI metrics.
  • To assess the variability, reproducibility, and reliability of these coupling metrics.

Main Methods:

  • Utilized a multiband, multi-echo (MBME) pseudo-continuous arterial spin labeling (pCASL) sequence for simultaneous BOLD and ASL data acquisition.
  • Analyzed BOLD-CBF coupling patterns in healthy control subjects.
  • Computed variability, reproducibility, and reliability of coupling metrics in a multi-session subgroup.

Main Results:

  • Higher BOLD-CBF coupling was observed in visual, motor, parietal, and frontal cortices, aligning with major brain networks.
  • Significant correlations between coupling and BOLD RS measures were found in areas of heightened coupling.
  • Coupling metrics exhibited higher variability and lower reliability compared to BOLD RS metrics.

Conclusions:

  • BOLD-CBF coupling metrics show promise for investigating neurovascular physiology.
  • The findings highlight the potential of simultaneous BOLD-ASL imaging for understanding brain function and dysfunction.
  • Further research is warranted to refine the reliability and application of these coupling metrics.