Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Scientific Laws and Theories

Scientific Laws and Theories

Scientific Laws

Band Theory

Band Theory

When two or more atoms come together to form a molecule, their atomic orbitals combine and molecular orbitals of distinct energies result. In a solid, there are a large number of atoms, and therefore a large number of atomic orbitals that may be combined into molecular orbitals. These groups of molecular orbitals are so closely placed together to form continuous regions of energies, known as the bands.
The energy difference between these bands is known as the band gap.
Conductor, Semiconductor,...

Attribution Theory

Attribution Theory

Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).

The Atomic Theory of Matter

The Atomic Theory of Matter

The earliest recorded discussion of the basic structure of matter comes from ancient Greek philosophers. Leucippus and Democritus argued that all matter was composed of small, finite particles that they called atomos, meaning “indivisible.” Later, Aristotle and others came to the conclusion that matter consisted of various combinations of the four “elements” — fire, earth, air, and water — and could be infinitely divided. Interestingly, these philosophers...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Valence Bond Theory

Valence Bond Theory

Overview of Valence Bond Theory

You might also read

Related Articles

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

Sort by

Same author

Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data.

Scientific reports·2026

Same author

Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling.

Human brain mapping·2026

Same author

Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.

Network neuroscience (Cambridge, Mass.)·2026

Same author

Structural signatures of synergy and redundancy in human brain function.

bioRxiv : the preprint server for biology·2026

Same author

An international mega-analysis of psychedelic drug effects on brain circuit function.

Nature medicine·2026

Same author

Amyloid-related default mode network hyperconnectivity and longitudinal decline in network distinctiveness in preclinical Alzheimer's disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026

Same journal

Mapping topological abnormalities in cortical similarity networks to schizophrenia-associated gene expression.

Dialogues in clinical neuroscience·2026

Same journal

Poor sleep quality correlates with axial symptoms and mood problems in Parkinson's disease.

Dialogues in clinical neuroscience·2026

Same journal

Treatment of posttraumatic stress disorder (PTSD).

Dialogues in clinical neuroscience·2026

Same journal

Comparisons of thalamocortical functional connectivity in transgender women and cisgender individuals: associations with cognition in a Chinese cohort.

Dialogues in clinical neuroscience·2026

Same journal

The Arabic Generalized Anxiety Disorder 2 (GAD-2): Psychometric evaluation among mothers of children with intellectual disabilities.

Dialogues in clinical neuroscience·2026

Same journal

Polarisation of brain dynamics in mania and depression.

Dialogues in clinical neuroscience·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 4, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Graph theory methods: applications in brain networks.

¹Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA; IU Network Science Institute, Indiana University, Bloomington, Indiana, USA.

Dialogues in Clinical Neuroscience

|September 26, 2018

Summary

This summary is machine-generated.

Network neuroscience uses graph theory to analyze complex brain network data. Key methods include identifying communities and central elements for understanding brain architecture and function.

Keywords:

connectome functional MRI graph theory neuroanatomy neuroimaging

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Acute Mouse Brain Slicing to Investigate Spontaneous Hippocampal Network Activity

Acute Mouse Brain Slicing to Investigate Spontaneous Hippocampal Network Activity

Published on: August 28, 2020

Related Experiment Videos

Last Updated: Feb 4, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Acute Mouse Brain Slicing to Investigate Spontaneous Hippocampal Network Activity

Acute Mouse Brain Slicing to Investigate Spontaneous Hippocampal Network Activity

Published on: August 28, 2020

Area of Science:

Neuroscience
Network Science
Computational Biology

Background:

Network neuroscience is rapidly expanding, with increasing empirical brain network data complexity.
This necessitates advanced tools for modeling and analyzing network data.
Graph theory offers powerful methods for this analysis.

Purpose of the Study:

To review commonly used and neurobiologically insightful graph theory measures and techniques.
To highlight key applications in network neuroscience.
To discuss emerging trends in the field.

Main Methods:

Survey of graph theory measures and techniques.
Focus on community detection and identification of central network elements.
Discussion of generative models, dynamic and multilayer networks, and algebraic topology.

Main Results:

Graph theory provides essential tools for analyzing brain network data.
Community detection and central element identification are crucial for understanding network function.
Emerging trends like dynamic and multilayer networks offer new analytical possibilities.

Conclusions:

Graph theory methods are fundamental to understanding brain network architecture, development, and evolution.
The field is advancing with new modeling and analytical approaches.
Network neuroscience relies heavily on quantitative network analysis techniques.