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

7.1K
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...
7.1K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

53
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
53
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

137
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
137
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

449
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
449

You might also read

Related Articles

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

Sort by
Same author

Retinal nerve fibre layer thickness reflects characteristics of brain grey and white matter.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Grammar acquisition in preschool children is related to white matter maturation of the dorsal language network.

Developmental cognitive neuroscience·2026
Same author

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

Versatile use of chimpanzee call combinations promotes meaning expansion.

Science advances·2025
Same author

Characterizing Directional Dynamics of Semantic Prediction Based on Inter-regional Temporal Generalization.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same author

Functional and structural brain asymmetries in language processing.

Handbook of clinical neurology·2025
Same journal

Tracking the narrative: A data-driven analysis of media coverage of Russia and Ukraine 2013-2024.

PloS one·2026
Same journal

Phenotypic and molecular characterization of K64 putative hypervirulent carbapenem-resistant Klebsiella pneumoniae.

PloS one·2026
Same journal

Childhood to Adult Neurodevelopment in Gene-Expanded Huntington's Disease (ChANGE-HD): A prospective longitudinal neurodevelopmental study of Huntington's disease.

PloS one·2026
Same journal

Influence of fruit maturity and variety on seasonal postharvest fungal diseases and vascular streaking in California Avocados.

PloS one·2026
Same journal

Speed guidance strategy at intersections based on platoon recognition in connected and autonomous vehicles environments.

PloS one·2026
Same journal

Outcomes of damage control laparotomy after trauma in low andmiddle-income countries: A systematic review and meta-analysis.

PloS one·2026
See all related articles
  1. Home
  3. Assessing Quantitative Mri Techniques Using Multimodal Comparisons.
  1. Home
  3. Assessing Quantitative Mri Techniques Using Multimodal Comparisons.

Related Experiment Video

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.3K

Assessing quantitative MRI techniques using multimodal comparisons.

Francis Carter1,2, Alfred Anwander3, Mathieu Johnson1

  • 1Department of Psychology, Concordia University, Montreal, Québec, Canada.

Plos One
|July 24, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Quantitative MRI (qMRI) offers detailed brain microstructure insights beyond traditional measures. This study analyzes qMRI and diffusion MRI metrics in healthy adults, revealing relationships and identifying hidden cortical gradients using PCA.

More Related Videos

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K

Related Experiment Videos

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.3K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

19.7K

Area of Science:

  • Neuroscience
  • Biomedical Imaging
  • Quantitative Magnetic Resonance Imaging (qMRI)

Background:

  • Macroscopic brain measures (volume, thickness) offer limited insight into microstructure and physiology.
  • Quantitative MRI (qMRI) enables non-invasive, in-vivo monitoring of microscopic brain changes.
  • qMRI provides standardized, comparable values across tissues, regions, and individuals.

Purpose of the Study:

  • To support the development and common use of qMRI in cognitive neuroscience.
  • To provide a comprehensive descriptive analysis of qMRI and diffusion MRI (dMRI) metrics.
  • To explore linear relationships between metrics in grey and white matter for understanding tissue microstructure.

Main Methods:

  • Analysis of qMRI metrics (R1, R2*, Magnetization Transfer saturation, Proton Density saturation) and dMRI metrics (Fractional Anisotropy, Mean Diffusivity).
  • Study conducted on 101 healthy young adults.
  • Principal Component Analysis (PCA) used to identify informative gradients across the brain.

    • Main Results:

    • Comprehensive descriptive analysis of selected qMRI and dMRI metrics in healthy adults.
    • Detailed characterization of linear relationships between these metrics in grey and white matter.
    • Evidence that combined metrics, via PCA, reveal subtle cortical gradients not apparent from individual metrics.

    Conclusions:

    • qMRI and dMRI metrics provide valuable insights into brain microstructure and physiology.
    • Combinations of qMRI/dMRI metrics can uncover informative neuroanatomical gradients.
    • Findings support the broader application of qMRI in cognitive neuroscience research.