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

Binet's Contribution to Measures of Intelligence01:23

Binet's Contribution to Measures of Intelligence

1.7K
Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
1.7K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

274
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...
274
Development of Analytical Methods01:21

Development of Analytical Methods

2.2K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
2.2K
Wechsler's Contribution to Measures of Intelligence01:23

Wechsler's Contribution to Measures of Intelligence

2.1K
David Wechsler, a psychologist who worked with World War I veterans, developed a significant IQ test in 1939 called the Wechsler-Bellevue Intelligence Scale. This test was innovative because it combined several subtests that measured both verbal and nonverbal skills, reflecting Wechsler's belief that intelligence is a global capacity involving purposeful action, rational thinking, and effective interaction with the environment. This test later evolved into the Wechsler Adult Intelligence...
2.1K
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

554
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
554
Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

2.8K
In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Prediction of cognitive performance by demographics, sleep, and brain morphometry: machine learning findings from ENIGMA-Sleep Working Group.

Research square·2026
Same author

Individual differences reveal distinct age and pubertal contributions to the refinement of the functional cortical hierarchy during adolescence.

bioRxiv : the preprint server for biology·2026
Same author

Biological brain aging, cognitive-motor decline and vascular risk: a multivariate imaging analysis of 40,579 individuals.

Frontiers in aging neuroscience·2026
Same author

Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavior.

Nature communications·2026
Same author

Intracortical microstructure profiling: A cross-modal method for indexing cortical lamination.

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

A quantitative account of how limited information sharing undermines comprehensive literature syntheses.

Neuroscience and biobehavioral reviews·2026
Same journal

Treadmill exercise rescues motor deficits in parkinsonian mice by modulating striatal D2-MSN activity: evidence from calcium imaging and chemogenetics.

Frontiers in systems neuroscience·2026
Same journal

Transfer learning for EEG-based BCIs: a comparative evaluation and optimization of data alignment methods.

Frontiers in systems neuroscience·2026
Same journal

The volatile anesthetic isoflurane causes global suppression of neuronal activity, disrupting hub neuron function in <i>Caenorhabditis elegans</i>.

Frontiers in systems neuroscience·2026
Same journal

Associative emotional memory encoding: insights from network stability analysis of an fMRI-driven bilinear dynamics.

Frontiers in systems neuroscience·2026
Same journal

The neurobiological basis of the awe experience in affective disorders: an exploratory EEG study.

Frontiers in systems neuroscience·2026
Same journal

Exploring the spiking neural autoencoder: from hyperexcitability to noise-driven compensation.

Frontiers in systems neuroscience·2026
See all related articles

Related Experiment Video

Updated: Jan 30, 2026

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.3K

What Can Computational Models Contribute to Neuroimaging Data Analytics?

Oleksandr V Popovych1,2, Thanos Manos1,2, Felix Hoffstaedter1,2

  • 1Institute of Neuroscience and Medicine - Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.

Frontiers in Systems Neuroscience
|January 29, 2019
PubMed
Summary
This summary is machine-generated.

Nonlinear dynamical models enhance understanding of brain activity and disorders. Integrating computational models into neuroimaging and medicine can advance brain state analysis and biomarker discovery.

Keywords:
brain dynamicsfunctional connectivityhigh-performance computingmathematical modelsneuroimagingresting statesimulation

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.3K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K

Related Experiment Videos

Last Updated: Jan 30, 2026

Basics of Multivariate Analysis in Neuroimaging Data
06:35

Basics of Multivariate Analysis in Neuroimaging Data

Published on: July 24, 2010

17.3K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.3K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Medical Physics

Background:

  • Nonlinear dynamical models offer mechanistic explanations for brain activity and disorders.
  • Neuroimaging data analysis benefits from mathematical models linking empirical findings to theoretical concepts.
  • Model parameters and dynamics can serve as biomarkers for brain states.

Purpose of the Study:

  • To review the progress and challenges in neuroimaging data analytics, particularly for resting-state brain activity.
  • To highlight recent contributions of mathematical modeling to understanding brain dynamics.
  • To discuss the role of computational models in neuroimaging and translational medicine.

Main Methods:

  • Exploration of model parameter space using nonlinear dynamical systems and statistical physics.
  • Analysis of neuroimaging data, focusing on resting-state brain activity.
  • Review of recent literature on mathematical modeling in neuroscience and medicine.

Main Results:

  • Mathematical models provide a framework to link empirical observations with abstract dynamical concepts (e.g., attractors, bifurcations).
  • Systematic parameter exploration in models is crucial but challenging in experimental settings.
  • Model-based approaches can differentiate brain dynamics in health and disease.

Conclusions:

  • Computational models are valuable tools for neuroimaging data analytics.
  • Integrating models into translational medicine can improve understanding and treatment of brain disorders.
  • Further development and application of these models promise significant advancements in brain science.