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Related Concept Videos

Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Clearance Models: Compartment Models01:25

Clearance Models: Compartment Models

Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume of...
Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
Three-Compartment Open Model01:06

Three-Compartment Open Model

The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
Control Volume and System Representations01:16

Control Volume and System Representations

Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water flowing...

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Related Experiment Video

Updated: Jun 13, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
11:04

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Functional volumes modeling: theory and preliminary assessment.

P T Fox1, J L Lancaster, L M Parsons

  • 1Research Imaging Center, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78284-6240, USA.

Human Brain Mapping
|April 22, 2010
PubMed
Summary

Functional volumes modeling (FVM) estimates brain function from literature, predicting individual brain responses. This new method accurately models functional areas and aids in analyzing brain imaging data.

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Last Updated: Jun 13, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging Analysis

Background:

  • Functional neuroimaging studies often report group-mean data.
  • Individual variability in functional brain organization is significant.
  • A robust method is needed to model population variance from group-mean functional imaging literature.

Purpose of the Study:

  • To introduce and test a novel construct for metaanalytic modeling of human brain functional organization.
  • To develop a statistical model, functional volumes modeling (FVM), capable of estimating population variance from existing literature.

Main Methods:

  • Functional volumes modeling (FVM) was developed to represent brain functional areas as spatial probability distributions.
  • The FVM statistical model estimates population variance using data from published group-mean functional imaging studies.
  • An FVM of the primary motor cortex mouth region was constructed and validated against individual subject data during overt-speech tasks.

Main Results:

  • The FVM model successfully predicted the mean location of functional responses in the primary motor cortex.
  • The spatial distribution of per-subject functional responses was accurately predicted by the FVM.
  • Confidence bounds generated by the FVM aligned with observed functional responses in individual subjects.

Conclusions:

  • Functional volumes modeling (FVM) provides a validated approach for metaanalytic modeling of brain function.
  • FVM can effectively estimate population variance from group-mean functional imaging data.
  • This method has broad applications in neuroscience, including hypothesis testing for statistical parametric images.