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

Structural Organization of the Human Body: An Overview01:18

Structural Organization of the Human Body: An Overview

It is convenient to consider the body's structures in terms of fundamental levels of organization that increase in complexity: subatomic particles, atoms, molecules, organelles, cells, tissues, organs, organ systems, and organisms.
To study the chemical level of organization, scientists consider the simplest building blocks of matter: subatomic particles, atoms, and molecules. All matter in the universe is composed of one or more unique pure substances called elements, familiar examples of...
Neuron Structure01:30

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...

You might also read

Related Articles

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

Sort by
Same author

Pore-Throat Combination Characteristics and Their Impact on Fluid Mobility in Water-Bearing Tight Sandstones.

ACS omega·2026
Same author

Microglial TDP-43 mediates myelin refinement and represses Tyrobp cryptic exon inclusion in mice.

Nature neuroscience·2026
Same author

Astrocytes modulate the effects of cocaine in low frequency neuro-vascular oscillations in mice.

Communications biology·2026
Same author

A noninvasive approach to modeling cocaine self-administration in mice.

Journal of psychopharmacology (Oxford, England)·2026
Same author

High-resolution whole-brain magnetic resonance spectroscopic imaging in youth at risk for psychosis.

Imaging neuroscience (Cambridge, Mass.)·2026
Same author

Shared and Individual Resting-State MEG Network Signatures of Tinnitus Revealed by Holistic Graph Learning.

IEEE open journal of engineering in medicine and biology·2026

Related Experiment Video

Updated: Jun 5, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

The microstructure-weighted human connectome: network properties and structure-function correlations across spatial

Arthur P C Spencer1, Saina Asadi1,2, Yasser Alemán-Gómez1,2

  • 1Department of Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland.

Biorxiv : the Preprint Server for Biology
|June 4, 2026
PubMed
Summary
This summary is machine-generated.

New brain connectome weights using biophysical diffusion modeling reveal more specific microstructural details. These novel metrics, intra-axonal signal fraction (f) and perpendicular extra-axonal diffusivity (D⊥), better capture structure-function relationships in the brain.

More Related Videos

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array
09:44

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

Published on: March 8, 2024

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

Related Experiment Videos

Last Updated: Jun 5, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array
09:44

Recording and Analyzing Multimodal Large-Scale Neuronal Ensemble Dynamics on CMOS-Integrated High-Density Microelectrode Array

Published on: March 8, 2024

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

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Biophysics

Background:

  • Conventional connectome edge weights (e.g., number of streamlines) lack microstructural specificity.
  • Biophysical diffusion modeling offers greater detail about white matter microstructure.

Purpose of the Study:

  • Investigate if biophysical diffusion model parameters can serve as informative connectome weights.
  • Assess the specificity and functional relevance of novel connectome metrics.

Main Methods:

  • Used diffusion MRI data from healthy adults.
  • Constructed structural networks weighted by intra-axonal signal fraction (f), perpendicular extra-axonal diffusivity (D⊥), number of streamlines (NOS), fractional anisotropy (FA), and radial diffusivity (RD).
  • Correlated weighted connectomes with resting-state fMRI and intracranial conduction velocity measurements.

Main Results:

  • All weights showed small-world network properties.
  • Intra-axonal signal fraction (f), perpendicular extra-axonal diffusivity (D⊥), and normalized NOS captured non-random local organization.
  • Only D⊥ demonstrated significant structure-function coupling across all scales and modalities.
  • f and radial diffusivity (RD) showed high consistency in regional structure-function coupling.

Conclusions:

  • Connectome weights derived from biophysical diffusion modeling, particularly D⊥, capture meaningful aspects of brain network organization.
  • These novel metrics offer improved specificity for understanding macroscale brain organization and function.