Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Magnetic Resonance Imaging

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...

Assessment of Diffusion and Perfusion

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...

Diffusion

Diffusion

Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...

You might also read

Related Articles

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

Sort by

Same author

Connectional neuroanatomy of U-fibers in the rhesus monkey brain.

bioRxiv : the preprint server for biology·2026

Same author

Neighborhood opportunity, white matter, and cognition in a large pediatric neuroimaging study.

Translational psychiatry·2026

Same author

A retinotopic wiring principle of the human brain.

bioRxiv : the preprint server for biology·2026

Same author

Diffusion MRI experimental design optimization for microstructure imaging.

Communications biology·2026

Same author

Anatomically constrained and curated cerebellar tractography (ACCURAT): an open framework and a pathway-specific neuroanatomical reference.

bioRxiv : the preprint server for biology·2026

Same author

Identification of Biological Subtypes of Friedreich Ataxia with Structural MRI-based Machine Learning.

Radiology·2026

Same journal

Reproducibility of Splanchnic Blood Flow Measured Using Phase-Contrast MRI.

NMR in biomedicine·2026

Same journal

Restriction-Weighted Q-Space Trajectory Imaging (ResQ): Toward Mapping Diffusion-Time Effects With Tensor-Valued Diffusion Encoding in Human Prostate Cancer Xenografts.

NMR in biomedicine·2026

Same journal

In Vivo Quantitative Detection of PEGylated Macromolecules by Magnetic Resonance Spectroscopy.

NMR in biomedicine·2026

Same journal

Metabolic Assessment in Human Pluripotent Stem Cell-Derived Cerebral Organoids Using HR-MAS NMR Spectroscopy.

NMR in biomedicine·2026

Same journal

Characterizing Metabolic and Compositional Heterogeneity of Calf Muscle Using CEST MRI at 3 T.

NMR in biomedicine·2026

Same journal

Estimating the Sodium Content: A Case Series of Benign and Malignant Renal Tumours Using <sup>23</sup>Na-MRI at 3 T.

NMR in biomedicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 18, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Advances in computational and statistical diffusion MRI.

Lauren J O'Donnell¹, Alessandro Daducci^2,3, Demian Wassermann⁴

¹Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.

NMR in Biomedicine

|November 15, 2017

Summary

This summary is machine-generated.

Computational diffusion MRI analysis offers detailed brain insights, from microstructure to connectivity. Recent advances in computational methods and statistical frameworks enable more complex analyses than previously possible.

Keywords:

diffusion MRI registration statistics tractography

More Related Videos

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

Related Experiment Videos

Last Updated: Feb 18, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

Area of Science:

Neuroimaging
Computational Neuroscience
Biomedical Engineering

Background:

Diffusion MRI provides rich data on brain microstructure and connectivity.
Traditional computational methods have limitations in memory and processing power.
Advances in computational frameworks are essential for modern diffusion MRI analysis.

Purpose of the Study:

To review recent computational and statistical advances in diffusion MRI.
To contextualize these advances against traditional methods.
To provide an overview for diffusion MRI researchers.

Main Methods:

Review of computational and statistical advancements in diffusion MRI.
Comparison of new methods with traditional approaches.
In-depth illustration of selected computational advances.

Main Results:

Computational diffusion MRI enables analysis at multiple scales, including microstructure and whole-brain connectivity.
Modern analyses are feasible due to increased computational power and developed mathematical frameworks.
Recent advances offer enhanced capabilities beyond traditional methods.

Conclusions:

Computational diffusion MRI is a rapidly evolving field.
New computational and statistical methods are expanding the possibilities in brain imaging research.
This review highlights key developments and their impact on the field.