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 Experiment Videos

Assessing interactions among neuronal systems using functional neuroimaging.

C Büchel1, K Friston

  • 1Department of Neurology, University of Hamburg, Germany. buechel@uke.uni-hamburg.de

Neural Networks : the Official Journal of the International Neural Network Society
|January 13, 2001
PubMed
Summary
This summary is machine-generated.

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

Influence of reduced amounts of sulfoquinovosyl diacylglycerol on the thylakoid membranes of the diatom <i>Thalassiosira pseudonana</i>.

Photosynthetica·2024
Same author

Decoding cerebro-spinal signatures of human behavior: Application to motor sequence learning.

NeuroImage·2023
Same author

Caching mechanisms for habit formation in Active Inference.

Neurocomputing·2020
Same author

Interaction between striatal volume and DAT1 polymorphism predicts working memory development during adolescence.

Developmental cognitive neuroscience·2018
Same author

Interactions between brain and spinal cord mediate value effects in nocebo hyperalgesia.

Science (New York, N.Y.)·2017
Same author

Distinct Top-down and Bottom-up Brain Connectivity During Visual Perception and Imagery.

Scientific reports·2017
Same journal

Aggregating global-scale pixel-wise forgery cues within a graph.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

FedCAD: Cross-modal semantic alignment and distillation for cross-domain heterogeneous federated learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Partial-encryption-decryption-based secure state estimation of singularly perturbed complex networks: A Paillier encryption approach.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

ResVaRe: Parameter-efficient fine-tuning for large language models via cross-layer residual vector adaptation and representation editing.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Brain network construction and analysis for epilepsy: A methodology review.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

New brain imaging methods reveal how different brain regions interact. This helps understand complex functional brain architectures and processing stages.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • Understanding brain function relies on mapping neural interactions.
  • Characterizing the interplay between brain regions is crucial for deciphering complex cognitive processes.

Purpose of the Study:

  • To introduce and validate novel methodologies for measuring effective brain connectivity.
  • To apply these methods to characterize interactions within functional brain architectures.

Main Methods:

  • Development of advanced neuroimaging analysis techniques.
  • Application of new methods to quantify effective connectivity between brain regions.

Main Results:

  • Demonstration of new methods' capability to measure effective connectivity.

Related Experiment Videos

  • Characterization of interactions underlying complex processing stages in functional architectures.
  • Conclusions:

    • Novel effective connectivity methods provide insights into brain functional architectures.
    • These advancements facilitate a deeper understanding of neural interactions in cognitive tasks.