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

Network Covalent Solids

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...

IP3/DAG Signaling Pathway

IP3/DAG Signaling Pathway

Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

Three-Dimensional Microscopy in Microbiology

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

You might also read

Related Articles

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

Sort by

Same author

Study on the improvement of bioavailability and hepatoprotective effect of silybin-7-eicosanedioate long-acting injection based on prodrug technology.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V·2026

Same author

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

Wellcome open research·2026

Same author

Effort Aversion and Reward Sensitivity in Schizophrenia: Computational Phenotyping of Motivational Deficits across Behavioral Tasks.

Schizophrenia bulletin·2026

Same author

Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach.

PLOS digital health·2026

Same author

Advances in the combined treatment of solid tumors with nanodelivery systems based on engineered bacteria-TME modulation.

Colloids and surfaces. B, Biointerfaces·2026

Same author

Multi-Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same journal

Lifespan Trajectories of the Brain's Functional Complexity Characterized by Multiscale Sample Entropy.

NeuroImage·2026

Same journal

Pleasant fragrance modulates dyadic social sharing of positive emotion: Sharer-centered socioemotional enhancement effect and its neural couplings.

NeuroImage·2026

Same journal

Altered Functional Hierarchical and Sequential Organization in Individuals with Schizophrenia during Auditory Processing.

NeuroImage·2026

Same journal

Mechanical Deformation Explains Distinct Neuroimaging Patterns and Etiologies in Brain Trauma.

NeuroImage·2026

Same journal

Ventral striatum temporal interference brain stimulation enhances the reward-positivity event-related potential and reduces anxiety.

NeuroImage·2026

Same journal

NeuroHarm‑Kit: An Open‑Source Toolbox for Benchmarking Deep‑Learning Harmonization of Multi‑Site T1‑Weighted MRI.

NeuroImage·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 23, 2026

Monitoring Dendritic Cell Migration using 19F / 1H Magnetic Resonance Imaging

Monitoring Dendritic Cell Migration using 19F / 1H Magnetic Resonance Imaging

Published on: March 20, 2013

Network discovery with DCM.

Karl J Friston¹, Baojuan Li, Jean Daunizeau

¹The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK. k.firston@fil.ion.ucl.ac.uk

|December 25, 2010

Summary

This summary is machine-generated.

This study introduces Dynamic Causal Modelling (DCM) for discovering functional brain networks from fMRI data. DCM reveals directed network architectures, complementing existing functional connectivity analyses.

More Related Videos

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Related Experiment Videos

Last Updated: Apr 23, 2026

Monitoring Dendritic Cell Migration using 19F / 1H Magnetic Resonance Imaging

Monitoring Dendritic Cell Migration using 19F / 1H Magnetic Resonance Imaging

Published on: March 20, 2013

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

Published on: September 4, 2017

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Quantifying Cytoskeleton Dynamics Using Differential Dynamic Microscopy

Published on: June 15, 2022

Area of Science:

Neuroscience
Computational Neuroscience
Systems Neuroscience

Background:

Inferring functional architecture of distributed systems is challenging.
Conventional methods often rely on simplistic assumptions like Markovian independence.

Purpose of the Study:

To present a novel scheme for discovering functional brain networks using Dynamic Causal Modelling (DCM).
To enable the recovery of directed and cyclic Bayesian dependency graphs from time-series data.

Main Methods:

Utilizing Dynamic Causal Modelling (DCM) and Bayesian model selection.
Analyzing observed network activity (e.g., fMRI time series) to infer graph sparsity structure.
Characterizing networks via adjacency matrices and conditional distributions of effective connectivity.

Main Results:

The scheme successfully recovers dynamic Bayesian dependency graphs representing functional brain networks.
It identifies network sparsity structures that best explain observed time-series data.
The method is applicable to both activation and resting-state fMRI studies.

Conclusions:

DCM provides an optimal network description of distributed brain activity.
It offers a powerful complement to conventional functional connectivity analyses.
The approach allows for the analysis of directed and reciprocal effective connectivity.