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

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

You might also read

Related Articles

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

Sort by
Same author

Sensorimotor recovery and neuropathic pain reduction after remotely delivered cognitive multisensory rehabilitation or remotely delivered exercise in adults with spinal cord injury: a pilot clinical trial.

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

Largely Typical Neural Activation During Monetary Reward Receipt in People With Psychosis-Spectrum Disorders and First-Degree Relatives.

Schizophrenia bulletin·2026
Same author

Cerebellar structure is abnormal in schizophrenia and deviates from bipolar disorder.

NeuroImage. Clinical·2026
Same author

White matter microstructure in relatives of people with schizophrenia or bipolar disorder: an ENIGMA meta-analysis.

Molecular psychiatry·2026
Same author

Greater sustained sensorimotor function recovery and neuropathic pain reduction with Cognitive Multisensory Rehabilitation compared to adaptive fitness in adults with spinal cord injury: a pilot clinical trial.

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

Preliminary efficacy of cognitive multisensory rehabilitation for neuropathic pain in chronic spinal cord injury: a phase I randomized controlled trial.

Scientific reports·2026
Same journal

Cross-Subject Event-Related Potential Classification via Multi-View Based Contrastive Learning.

Brain connectivity·2026
Same journal

Clinical Correlates of Resting-State Functional Magnetic Resonance Imaging in Military Personnel with Adulthood-Onset War-Related Post-Traumatic Stress Disorder.

Brain connectivity·2026
Same journal

Meditation Enhances Small-World Network Efficiency: MEG-Based Evidence from Attention and Control Systems.

Brain connectivity·2026
Same journal

Tinnitus Brain: A Functional Reorganization?

Brain connectivity·2026
Same journal

Examining the Neural and Behavioral Impact of Accelerated Intermittent Theta Burst Stimulation in People with Opioid Use Disorder Who Smoke Tobacco Cigarettes: A Pilot Study.

Brain connectivity·2026
Same journal

Fingerprints Beyond Averages: The Temporal Architecture of Individual Brain Connectivity.

Brain connectivity·2026
See all related articles

Related Experiment Video

Updated: May 17, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Multicenter reliability of diffusion tensor imaging.

Vincent A Magnotta1, Joy T Matsui, Dawei Liu

  • 1Department of Radiology, University of Iowa, 500 Newton Road, Iowa City, IA 52242-1000, USA.

Brain Connectivity
|October 19, 2012
PubMed
Summary
This summary is machine-generated.

Diffusion tensor imaging (DTI) data reliability was assessed across multiple sites and protocols. Results show low intra-subject variability but moderate inter-site and inter-vendor variability in DTI measures.

More Related Videos

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Related Experiment Videos

Last Updated: May 17, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Radiology

Background:

  • Diffusion tensor imaging (DTI) is increasingly used in multi-site studies.
  • The reliability of DTI data across different imaging centers and protocols requires thorough investigation.
  • Previous work has established the reliability of anatomical imaging, but DTI reliability is less understood.

Purpose of the Study:

  • To assess the reliability of diffusion tensor imaging (DTI) data collected across multiple imaging centers and protocols.
  • To quantify intra-subject and inter-site variability for standard DTI scalars.

Main Methods:

  • Recruited five healthy controls for imaging at eight different imaging centers.
  • Acquired DTI data using two distinct imaging protocols for repeated measures.
  • Analyzed standard rotationally invariant DTI measures: fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity.

Main Results:

  • Intra-subject coefficient of variation (CV) for DTI scalars was consistently low (<1%).
  • Inter-site CV for DTI measures ranged from approximately 1% to 3%.
  • Inter-vendor variability was comparable to inter-site variability, influenced by sequence implementation differences.

Conclusions:

  • DTI data exhibits high intra-subject reliability.
  • Moderate inter-site and inter-vendor variability exists, highlighting the need for standardization in multi-site DTI studies.
  • Differences in sequence implementation contribute to observed variability in DTI measures.