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

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...

You might also read

Related Articles

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

Sort by

Same author

Comparing the effect of multi-gradient echo and multi-band fMRI during a semantic task.

Imaging neuroscience (Cambridge, Mass.)·2026

Same author

Cortical and white matter myelination proceed in concert during early infancy.

Nature communications·2026

Same author

Mapping the structural connections between the anterior cingulate cortex and the insula/ventrolateral prefrontal cortex.

Imaging neuroscience (Cambridge, Mass.)·2026

Same author

Improving validity and efficiency of digital dyslexia screening through trial-by-trial feedback.

Psychological assessment·2026

Same author

Visual processing is a language-agnostic window into heterogeneity in early reading development.

Current biology : CB·2026

Same author

Quality assessment and control of unprocessed anatomical, functional and diffusion MRI of the human brain using MRIQC.

Nature protocols·2026

Same journal

Role of AQP4 in ameliorating heat stress-induced cellular injury in a cell line model through active heat acclimation.

Frontiers in human neuroscience·2026

Same journal

Correction: Cognitive state monitoring for neuroadaptive information visualization.

Frontiers in human neuroscience·2026

Same journal

The synthetic self-hypothesis: dopaminergic redirection through self-face recognition in stuttering therapy.

Frontiers in human neuroscience·2026

Same journal

A randomised, placebo-controlled, triple-blind clinical trial to investigate the efficacy of <i>Ginkgo biloba</i> extract EGb 761<sup>®</sup> in cognitive impairment associated with post COVID-19 syndrome-the EGb COCOS protocol.

Frontiers in human neuroscience·2026

Same journal

Examining the independent and combined effects of autistic and ADHD traits on multisensory integration.

Frontiers in human neuroscience·2026

Same journal

Prediction of hormone receptor status in breast cancer brain metastases using an MRI-based multimodal deep learning framework.

Frontiers in human neuroscience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 25, 2025

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project.

Rafael Neto Henriques¹, Marta M Correia², Maurizio Marrale^3,4

¹Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal.

Frontiers in Human Neuroscience

|August 5, 2021

Summary

This summary is machine-generated.

This study introduces Diffusional Kurtosis Imaging (DKI) in the Diffusion in Python (DIPY) project. DKI offers a more sensitive method for analyzing brain microstructure and connectivity than traditional diffusion-weighted imaging (dMRI) methods.

Keywords:

DKI DTI MRI biophysics diffusion MRI microstructure open-source software python

More Related Videos

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

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: Oct 25, 2025

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Easy Measurement of Diffusion Coefficients of EGFP-tagged Plasma Membrane Proteins Using k-Space Image Correlation Spectroscopy

Published on: May 10, 2014

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
Biophysics
Computational Neuroscience

Background:

Diffusion-weighted magnetic resonance imaging (dMRI) provides insights into brain connectivity and tissue microstructure.
Diffusional Kurtosis Imaging (DKI) quantifies non-Gaussian diffusion, offering greater sensitivity to microstructural alterations than conventional dMRI measures.
Existing dMRI methods are often confounded by tissue dispersion and fiber crossings, limiting their accuracy.

Purpose of the Study:

To implement and validate Diffusional Kurtosis Imaging (DKI) within the open-source Diffusion in Python (DIPY) project.
To extend DKI models for enhanced microstructural analysis and tractography.
To provide a robust and accessible platform for DKI research in neuroscience and clinical applications.

Main Methods:

Implementation of DKI models within the DIPY software library.
Validation using numerical simulations with known parameters and publicly available dMRI datasets.
Development of DKI-based microstructural models for estimating biophysical parameters (e.g., axonal water fraction).

Main Results:

Demonstrated functionality and accuracy of DKI implementation in DIPY through simulations and real data.
Showcased DKI's ability to characterize complex white matter and gray matter microstructures.
Introduced a novel mean kurtosis index invariant to tissue dispersion effects.

Conclusions:

DKI in DIPY offers a comprehensive, well-tested, and documented reference implementation for advanced diffusion MRI analysis.
The developed DKI methods provide a more general characterization of non-Gaussian diffusion, compatible with complex brain architectures.
This implementation facilitates broader research into brain disorders and cognitive neuroscience using DKI.