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

Early White Matter Microstructure Alterations in Infants with Down Syndrome.

NeuroImage·2025
Same author

Brain functional connectivity correlates of autism diagnosis and familial liability in 24-month-olds.

Journal of neurodevelopmental disorders·2025
Same author

Functional connectivity between the visual and salience networks and autistic social features at school-age.

Journal of neurodevelopmental disorders·2025
Same author

Early White Matter Microstructure Alterations in Infants with Down Syndrome.

medRxiv : the preprint server for health sciences·2025
Same author

White matter microstructure in school-age children with down syndrome.

Developmental cognitive neuroscience·2025
Same author

Statistical properties of functional connectivity MRI enrichment analysis in school-age autism research.

Developmental cognitive neuroscience·2025

Related Experiment Video

Updated: Jun 4, 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

FADTTS: functional analysis of diffusion tensor tract statistics.

Hongtu Zhu1, Linglong Kong, Runze Li

  • 1Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. htzhu@email.unc.edu

Neuroimage
|February 22, 2011
PubMed
Summary

This study introduces a new pipeline, functional analysis of diffusion tensor tract statistics (FADTTS), to analyze white matter fiber bundles. FADTTS helps understand brain development and disorders by examining diffusion properties and their relationship with factors like age and gender.

More Related Videos

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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

Published on: November 8, 2012

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Related Experiment Videos

Last Updated: Jun 4, 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

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

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

Published on: November 8, 2012

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

Area of Science:

  • Neuroimaging
  • Biostatistics
  • Neuroscience

Background:

  • Diffusion tensor imaging (DTI) is crucial for studying white matter integrity.
  • Understanding the association between diffusion properties and covariates is vital for neurodevelopmental and neuropsychiatric research.
  • Existing methods lack the ability to model structured inter-subject variability and joint effects.

Purpose of the Study:

  • To present a novel pipeline, functional analysis of diffusion tensor tract statistics (FADTTS), for analyzing white matter fiber bundles.
  • To delineate the association between multiple diffusion properties and covariates (age, diagnostic status, gender).
  • To characterize the structure of variability in white matter tract properties.

Main Methods:

  • FADTTS integrates five statistical tools: multivariate varying coefficient model, weighted least squares estimation, functional principal component analysis, global test statistic, and simultaneous confidence bands.
  • Simulated data were used for finite sample performance evaluation.
  • Applied FADTTS to analyze white matter diffusivities in the splenium of the corpus callosum and right internal capsule tracts in a neurodevelopment study.

Main Results:

  • FADTTS successfully modeled varying associations between diffusion properties and covariates along white matter tracts.
  • The pipeline delineated the structure of variability in fiber bundle diffusion properties.
  • Demonstrated the utility of FADTTS in a clinical neurodevelopment study.

Conclusions:

  • FADTTS provides a powerful framework for understanding normal brain development and the neural bases of neuropsychiatric disorders.
  • The pipeline facilitates the investigation of joint effects of environmental and genetic factors on white matter.
  • FADTTS offers advantages over existing approaches by modeling inter-subject variability and testing joint effects with confidence bands.