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

You might also read

Related Articles

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

Sort by
Same author

Modeling stimulus-induced stress responses in microglia-like cells using a commercial iPSC-dCas9-KRAB line.

Stem cell research·2026
Same author

Innovative Clinical Trial Approach for Evaluating Digital Medical Devices Under European Fast-Track Regulatory Frameworks.

Statistics in medicine·2026
Same author

Causal mediation analysis with one or multiple mediators: A comparative study.

Psychological methods·2026
Same author

Tau seeds induce neurofibrillary tangle formation across brain regions via individual-specific connectivity.

Neuron·2026
Same author

NeuroConText: Contrastive learning for neuroscience meta-analysis with rich text representation.

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

Early Marrow Microenvironment Immune Patterns After Hematopoietic Stem Cell Transplant in Pediatric Acute Lymphoblastic Leukemia Are Associated with Later Development of Chronic GvHD and Relapse.

International journal of molecular sciences·2026

Related Experiment Video

Updated: May 28, 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

Connectivity-informed fMRI activation detection.

Bernard Ng1, Rafeef Abugharbieh, Gael Varoquaux

  • 1Biomedical Signal and Image Computing Lab, UBC, Canada. bernardyng@gmail.com

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 15, 2011
PubMed
Summary

This study introduces a new model linking brain activity during rest and tasks. This connectivity-informed approach enhances functional magnetic resonance imaging (fMRI) sensitivity for detecting brain activation during cognitive tasks.

More Related Videos

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
11:57

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Related Experiment Videos

Last Updated: May 28, 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

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
11:57

Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

Published on: February 24, 2021

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • Functional brain architecture is studied via spontaneous and task-induced activity correlations.
  • Resting-state (RS) functional networks closely resemble stimulus-evoked networks.
  • Understanding the relationship between resting and task brain activity is crucial.

Purpose of the Study:

  • To propose a novel generative model integrating RS-connectivity and stimulus-evoked responses.
  • To provide a unified analytical framework for analyzing brain activity.
  • To improve the sensitivity of functional magnetic resonance imaging (fMRI) activation detection.

Main Methods:

  • Developed a generative model with exact closed-form solutions for posterior estimates and model evidence.
  • Employed graphical LASSO and oracle approximating shrinkage technique for learning RS networks.
  • Applied the model to fMRI data from 65 subjects.

Main Results:

  • Demonstrated increased sensitivity in fMRI activation detection compared to standard univariate methods.
  • Validated the intrinsic relationship between resting and task-evoked brain activity.
  • Showcased the utility of integrating RS-connectivity into task-based analyses.

Conclusions:

  • The proposed connectivity-informed model enhances detection power in task-driven fMRI studies.
  • Exploiting the intrinsic link between rest and task brain activity improves neuroimaging analysis.
  • This framework offers a more sensitive approach to understanding brain functional architecture.