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

Biological Influences on Intelligence01:30

Biological Influences on Intelligence

Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter more...
Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Anatomy of the Brain: Major Regions01:20

Anatomy of the Brain: Major Regions

The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
The cerebrum is the largest section of the brain and divides into left and right hemispheres, separated by a deep fissure. The cerebral outer layer of grey matter — the cerebral cortex — comprises elevations called gyri and shallow groves called sulci. The inner portion of white matter includes long nerve fibers known as axons, which connect various areas...

You might also read

Related Articles

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

Sort by
Same author

A NEW REGISTRATION METHOD BASED ON LOG-EUCLIDEAN TENSOR METRICS AND ITS APPLICATION TO GENETIC STUDIES.

Proceedings. IEEE International Symposium on Biomedical Imaging·2018
Same author

A LAGRANGIAN FORMULATION FOR STATISTICAL FLUID REGISTRATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2018
Same author

STATISTICALLY ASSISTED FLUID IMAGE REGISTRATION ALGORITHM - SAFIRA.

Proceedings. IEEE International Symposium on Biomedical Imaging·2018
Same author

MULTIVARIATE VARIANCE-COMPONENTS ANALYSIS IN DTI.

Proceedings. IEEE International Symposium on Biomedical Imaging·2018
Same author

BEST INDIVIDUAL TEMPLATE SELECTION FROM DEFORMATION TENSOR MINIMIZATION.

Proceedings. IEEE International Symposium on Biomedical Imaging·2018
Same author

COMPARISON OF FRACTIONAL AND GEODESIC ANISOTROPY IN DIFFUSION TENSOR IMAGES OF 90 MONOZYGOTIC AND DIZYGOTIC TWINS.

Proceedings. IEEE International Symposium on Biomedical Imaging·2018

Related Experiment Video

Updated: Jun 23, 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

Mapping the regional influence of genetics on brain structure variability--a tensor-based morphometry study.

Caroline C Brun1, Natasha Leporé, Xavier Pennec

  • 1Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, 635 Charles Young Drive South Suite 225, Los Angeles, CA 90095-7334, USA.

Neuroimage
|May 19, 2009
PubMed
Summary
This summary is machine-generated.

Brain structure is influenced by genetics and environment. This study mapped brain morphometry in twins, revealing strong genetic control over overall brain volumes and early-maturing regions, while environmental factors influenced white matter and later-maturing frontal regions.

More Related Videos

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

Related Experiment Videos

Last Updated: Jun 23, 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

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
11:50

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

Area of Science:

  • Neuroscience
  • Genetics
  • Human Anatomy

Background:

  • Brain structure and function are shaped by a complex interplay of genetic and environmental influences.
  • Detailed 3D brain maps are crucial for understanding the heritability of anatomical features and identifying associated genes.
  • Twin studies provide a powerful model for disentangling genetic and environmental contributions to human traits.

Purpose of the Study:

  • To create detailed 3D maps of brain morphometry to assess the genetic determination of anatomical features.
  • To quantify the contributions of additive genetic (A), dominant genetic (D), shared environmental (C), and unique environmental (E) factors to regional brain volumes.
  • To investigate how genetic and environmental influences vary across different brain structures and developmental timelines.

Main Methods:

  • Applied Tensor-Based Morphometry (TBM) to 3D brain MRI scans from 46 pairs of twins (23 identical, 23 fraternal).
  • Utilized nonlinear registration with a Riemannian fluid-based warping approach to compute volumetric differences and generate maps of local morphometric variations.
  • Employed a novel structural equation modeling method for voxelwise heritability estimation (A, D, C, E factors).

Main Results:

  • Overall brain volumes, including the basal ganglia, thalamus, and individual lobes, demonstrated strong genetic control.
  • Local white matter volumes were predominantly influenced by shared environmental factors.
  • After accounting for overall brain size, genetic influences remained significant in the corpus callosum and occipital lobes, whereas frontal regions showed greater environmental influence.

Conclusions:

  • Brain morphometry exhibits significant heritability, particularly in global brain structures and early-maturing regions.
  • Environmental factors play a more substantial role in shaping white matter and later-maturing frontal brain regions.
  • These findings contribute to a deeper understanding of the etiological factors underlying individual differences in brain anatomy.