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

You might also read

Related Articles

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

Sort by
Same author

STITCH links cellular morphology and gene expression in spatial transcriptomics.

bioRxiv : the preprint server for biology·2026
Same author

Peak Persistence Diagrams for Shape-Based Signal Estimation.

IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society·2026
Same author

A shape-based functional index for objective assessment of pediatric motor function.

PloS one·2025
Same author

A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis.

SIAM journal on imaging sciences·2025
Same author

S-GMAS: Genome-Wide Mediation Analysis With Brain Subcortical Shape Mediators.

Human brain mapping·2025
Same author

Transcripts with high distal heritability mediate genetic effects on complex metabolic traits.

Nature communications·2025
Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026
See all related articles

Related Experiment Video

Updated: Jun 28, 2026

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

Brain fiber architecture, genetics, and intelligence: a high angular resolution diffusion imaging (HARDI) study.

Ming-Chang Chiang1, Marina Barysheva, Agatha D Lee

  • 1Laboratory of Neuro Imaging, Dept. of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|November 5, 2008
PubMed
Summary
This summary is machine-generated.

This study mapped genetic influences on brain fiber architecture using advanced analysis of diffusion imaging data. Fiber complexity is largely genetically controlled, offering insights into brain connectivity and intelligence.

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

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Related Experiment Videos

Last Updated: Jun 28, 2026

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

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

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Area of Science:

  • Neuroimaging
  • Quantitative Genetics
  • Brain Architecture

Background:

  • High-angular resolution diffusion imaging (HARDI) provides detailed information on brain white matter fiber architecture.
  • Population studies are crucial for understanding the genetic basis of brain structure and function.

Purpose of the Study:

  • To develop and apply an analysis pipeline for population studies of HARDI data.
  • To map genetic influences on brain fiber architecture and its relationship with intelligence quotient (IQ).

Main Methods:

  • Applied tensor-driven 3D fluid registration to HARDI data, resampling spherical fiber orientation distribution functions (ODFs).
  • Used quantitative genetics structural equation models (SEM) to assess genetic influences on Jensen-Shannon divergence (JSD) and generalized fiber anisotropy (GFA).
  • Employed random-effects regression to correlate diffusion profiles with IQ.

Main Results:

  • Fiber complexity, measured by JSD, is predominantly under genetic control.
  • Higher fiber complexity was observed in more anisotropic regions.
  • The balance of genetic versus environmental control on fiber architecture varied spatially.
  • Identified brain regions where diffusion profiles correlated with IQ.

Conclusions:

  • The developed pipeline enables population-level analysis of HARDI data for genetic studies.
  • Genetic factors significantly influence brain fiber complexity and integrity.
  • These methods hold promise for discovering genes that affect brain connectivity.