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

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

701
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,...
701
Levels of Use of a GIS01:29

Levels of Use of a GIS

456
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
456
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

381
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
381
Multiple Bar Graph01:07

Multiple Bar Graph

10.5K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
10.5K
Manipulation and Analysis01:21

Manipulation and Analysis

326
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
326
Mesh Analysis01:20

Mesh Analysis

1.7K
Mesh analysis is a valuable method for simplifying circuit analysis using mesh currents as key circuit variables. Unlike nodal analysis, which focuses on determining unknown voltages, mesh analysis applies Kirchhoff's voltage law (KVL) to find unknown currents within a circuit. This method is particularly convenient in reducing the number of simultaneous equations that need to be solved.
A fundamental concept in mesh analysis is the definition of meshes and mesh currents. A mesh is a closed...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Self-supported catalysts.

Chemical reviews·2008
Same author

[The local control of radiotherapy following Ivor-Lewis esophagectomy in the patients with stage II A middle-third thoracic esophageal cancer].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2008
Same author

Magnetic loading of carbon nanotube/nano-Fe(3)O(4) composite for electrochemical sensing.

Talanta·2008
Same author

Carbon nanotube/polystyrene composite electrode for microchip electrophoretic determination of rutin and quercetin in Flos Sophorae Immaturus.

Talanta·2008
Same author

[Observation on efficacy of large volume whole lung lavage in treatment of pneumoconiosis].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2008
Same author

[Application of large volume whole lung lavage in pneumoconiosis].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2008
Same journal

Cross-Subject Event-Related Potential Classification via Multi-View Based Contrastive Learning.

Brain connectivity·2026
Same journal

Clinical Correlates of Resting-State Functional Magnetic Resonance Imaging in Military Personnel with Adulthood-Onset War-Related Post-Traumatic Stress Disorder.

Brain connectivity·2026
Same journal

Meditation Enhances Small-World Network Efficiency: MEG-Based Evidence from Attention and Control Systems.

Brain connectivity·2026
Same journal

Tinnitus Brain: A Functional Reorganization?

Brain connectivity·2026
Same journal

Examining the Neural and Behavioral Impact of Accelerated Intermittent Theta Burst Stimulation in People with Opioid Use Disorder Who Smoke Tobacco Cigarettes: A Pilot Study.

Brain connectivity·2026
Same journal

Fingerprints Beyond Averages: The Temporal Architecture of Individual Brain Connectivity.

Brain connectivity·2026
See all related articles

Related Experiment Video

Updated: Apr 1, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.8K

Open Environment for Multimodal Interactive Connectivity Visualization and Analysis.

Paul A Taylor1,2, Gang Chen3, Robert W Cox3

  • 11 MRC/UCT Medical Imaging Research Unit, Department of Human Biology, Faculty of Health Sciences, University of Cape Town , Muizenberg, South Africa .

Brain Connectivity
|October 9, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces new software tools for combining brain functional and anatomical connectivity from MRI data. These tools enhance visualization and analysis for multimodal brain network research.

Keywords:
diffusion tensor imagingfunctional MRIfunctional connectivityresting state FMRIstructural connectivitytractography

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.2K
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

6.2K

Related Experiment Videos

Last Updated: Apr 1, 2026

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
07:12

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

Published on: July 1, 2014

12.8K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.2K
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

6.2K

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Informatics

Background:

  • Multimodal brain connectivity studies face challenges in data characterization and visualization.
  • Integrating functional and anatomical connectivity data is crucial for comprehensive brain network analysis.

Purpose of the Study:

  • To present novel network-based software tools for combining functional and anatomical connectivity from MRI data.
  • To improve quantitative characterization and interactive visualization of multimodal brain connectivity.

Main Methods:

  • Developed the Functional and Tractographic Connectivity Analysis Toolbox (FATCAT) interfacing with AFNI and SUMA.
  • Implemented a novel tractographic mini-probabilistic approach for improved streamline tracking using diffusion tensor imaging (DTI) parameter uncertainty.
  • Created an interface for navigating and querying 2D/3D data across voxel, surface, tract, and graph domains.

Main Results:

  • Achieved more robust white matter connection tracking by utilizing DTI parameter uncertainty and Monte Carlo iterations.
  • Enabled thresholding of connections to reduce noise and improve tract identification.
  • Facilitated simultaneous visualization and interactive querying of multimodal data (fMRI and DTI) in single-subject and group analyses.

Conclusions:

  • The FATCAT toolbox enhances the visualization and combination of functional MRI and DTI modalities.
  • The developed methods support robust multimodal brain connectivity analysis, particularly for single-subject inferences.
  • A multivariate framework is provided for statistical modeling of network features in group analyses.