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

Neuron Structure01:31

Neuron Structure

Overview
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Assembly of Complex Microtubule Structures01:32

Assembly of Complex Microtubule Structures

Complex microtubule structures are present in resting cells and in dividing cells. In resting cells, they are responsible for maintaining the cellular architecture, tracks for intracellular transport, positioning of organelles, assembly of cilia and flagella. They mediate the bipolar spindle assembly for chromosomal segregation and positioning of the cell division plate in dividing cells. The formation of microtubule complex structures depends on the cell type, cell stage, and cell function.
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...
Structural Classification of Joints01:20

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
Storage01:23

Storage

A schema is a mental framework that helps individuals organize and interpret information. Schemata, formed from previous experiences, influence how we process new information: how we encode it, the inferences we make, and how we retrieve it. For instance, a schema for what a typical classroom looks like might include desks, a teacher's desk, a whiteboard, and students in such an environment. This expectation helps us quickly understand and navigate new classrooms without needing to analyze each...

You might also read

Related Articles

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

Sort by
Same author

Testing and tracking in the UK: A dynamic causal modelling study.

Wellcome open research·2026
Same author

Widespread use of invalid statistical tests in biomedical machine learning.

bioRxiv : the preprint server for biology·2026
Same author

PsiConnect: Multimodal Neuroimaging of Context-Dependent Brain and Behaviour Dynamics under Psilocybin.

Scientific data·2026
Same author

From whole-body to organ-specific biological age clocks.

Nature aging·2026
Same author

Sleep chart of biological ageing clocks in middle and late life.

Nature·2026
Same author

Biochemical and brain heterogeneity characterizes psychiatric and non-psychiatric illness.

Nature communications·2026
Same journal

Brain-spleen axis regulates learned fear.

Nature reviews. Neuroscience·2026
Same journal

Acetylcholine: a candidate substrate for hippocampal predictive learning?

Nature reviews. Neuroscience·2026
Same journal

Astrocytes viewed through the lens of their proteomes and subproteomes.

Nature reviews. Neuroscience·2026
Same journal

m<sup>6</sup>A in RNA: a key regulator of brain development, function and disease.

Nature reviews. Neuroscience·2026
Same journal

Non-invasive deep-brain neuromodulation by transcranial radio frequency stimulation.

Nature reviews. Neuroscience·2026
Same journal

Heading into the wild: setting the course to natural neuroscience.

Nature reviews. Neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jun 6, 2026

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

26.2K

Structurally informed models of directed brain connectivity.

Matthew D Greaves1,2, Leonardo Novelli3,4, Sina Mansour L5,6,7

  • 1School of Psychological Sciences, Monash University, Clayton, Victoria, Australia. matthew.greaves@monash.edu.

Nature Reviews. Neuroscience
|December 11, 2024
PubMed
Summary
This summary is machine-generated.

Structural brain connectivity, or anatomy, can significantly improve models predicting how brain regions influence each other. Further research is needed to validate these enhanced directed connectivity models for understanding brain function and disease.

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K
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

993

Related Experiment Videos

Last Updated: Jun 6, 2026

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

26.2K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

5.6K
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

993

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Brain Connectivity Research

Background:

  • Understanding directed brain connectivity is crucial for neuroscience, but current models face limitations.
  • The role of macroscale structural connectivity in constraining directed connectivity models remains unclear.

Purpose of the Study:

  • To review the integration of structural connectivity into directed connectivity models.
  • To highlight the distinction between effective connectivity and directed functional connectivity.
  • To propose future research directions for improving brain connectivity models.

Main Methods:

  • Review of existing research on integrating structural connectivity into directed connectivity models.
  • Exploration of methods including prior distributions, state-space models, and structure learning algorithms.

Main Results:

  • Evidence suggests integrating structural connectivity substantially improves directed connectivity models.
  • Current assessments lack reliability and out-of-sample validity for these integrated models.

Conclusions:

  • Integrating structural connectivity offers significant potential for enhancing directed connectivity models.
  • Future research should focus on reliability and validity assessments.
  • Advancing this integration is key to improving our understanding of the brain in health and disease.