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

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

107
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
107
Organization of the Brain01:30

Organization of the Brain

1.1K
The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Neurodevelopmental Inequality arising from Early Childhood Stunting: Evidences from Brain Connectivity.

bioRxiv : the preprint server for biology·2026
Same author

Differential role of beta band activity in a dual-task working memory paradigm under internally vs. externally directed cognition.

Frontiers in human neuroscience·2026
Same author

Aging increases orbitofrontal neural volatility during affective inference.

Cerebral cortex (New York, N.Y. : 1991)·2026
Same author

A human EEG dataset to study cognitive flexibility during auditory discrimination under real-world distractors.

Scientific data·2026
Same author

Mechanistic exploration of methylglyoxal-induced hepatotoxicity involving oxidative stress, apoptosis, and gluconeogenic modulation.

Chemico-biological interactions·2026
Same author

A mechanistic whole brain model to capture simultaneous EEG-fMRI data.

Cerebral cortex (New York, N.Y. : 1991)·2026
Same journal

Learning under constraints: a theoretical framework for comparing resource-constrained learning in biological and artificial systems.

Frontiers in computational neuroscience·2026
Same journal

MsGCN: a multi-stream graph convolutional network for multiband PLV graph fusion in EEG-based biometric identification.

Frontiers in computational neuroscience·2026
Same journal

AI-driven neuroanalytic modeling for mental health: multichannel CNN-based autism spectrum disorder detection via facial pattern analysis.

Frontiers in computational neuroscience·2026
Same journal

Modeling multiscale neural dynamics for EEG-based emotion recognition using an attentive wavelet-transformer framework.

Frontiers in computational neuroscience·2026
Same journal

New directions for complex systems in contemporary neuroscience: a morphodynamic and emergent function approach.

Frontiers in computational neuroscience·2026
Same journal

NMDA receptor kinetics drive distinct routes to chaotic firing in pyramidal neurons.

Frontiers in computational neuroscience·2026
See all related articles

Related Experiment Video

Updated: Sep 8, 2025

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

1.2K

Whole-Brain Network Models: From Physics to Bedside.

Anagh Pathak1, Dipanjan Roy2, Arpan Banerjee1

  • 1National Brain Research Centre, Gurgaon, India.

Frontiers in Computational Neuroscience
|June 13, 2022
PubMed
Summary
This summary is machine-generated.

Whole-brain models (WBMs) simulate brain-wide dynamics using neuroimaging and network theory. These computational neuroscience tools offer insights into brain function and neuropathologies like Alzheimer's disease.

Keywords:
DTIconnectomenetworkneural fieldneural massneuroimagingwhole brain model

More Related Videos

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.4K
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

5.7K

Related Experiment Videos

Last Updated: Sep 8, 2025

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

1.2K
3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol
10:14

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

7.4K
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

5.7K

Area of Science:

  • Computational neuroscience
  • Systems neuroscience
  • Neuroimaging analysis

Background:

  • Computational neuroscience models brain function across scales, from single neurons to social cognition.
  • Whole-brain models (WBMs) specifically address large-scale neural communication via white matter tracts.

Purpose of the Study:

  • To review the history, methodology, and applications of whole-brain models (WBMs).
  • To highlight the utility of WBMs in understanding neuropathologies and cortical communication.

Main Methods:

  • Utilizing neuroimaging data, graph theory, and non-linear systems theory to model brain-wide dynamics.
  • Discussing methodological considerations including node dynamics, model fitting, and parcellation strategies.

Main Results:

  • WBMs have demonstrated predictive insights into neuropathologies such as Alzheimer's disease, Schizophrenia, Epilepsy, and Traumatic Brain Injury.
  • WBMs provide mechanistic understanding of large-scale cortical communication.

Conclusions:

  • Whole-brain modeling is a valuable approach for studying brain function and dysfunction.
  • Future work should focus on augmenting the biological and clinical validity of WBMs.