Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

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

A systematic review of safety culture dimensions and measurement tools in the petrochemical industry using the PRISMA protocol.

International journal of occupational safety and ergonomics : JOSE·2026

Same author

Unraveling the Unexpected: How Pilots Can Successfully Manage Unexpected Events.

Human factors·2026

Same author

Self-transcendence accompanies aesthetic chills.

PLOS mental health·2026

Same author

The role of ADHD in aggressive driving behavior among young adult drivers: effects of traffic aggressiveness and roadway environments.

Accident; analysis and prevention·2026

Same author

Human vigilance in the age of intelligent machines: Challenges and prospects.

Ergonomics·2026

Same author

Training for vigilance on the move using knowledge of results: The effects of feedback type on performance and subjective response.

Ergonomics·2025

Same journal

Anterior Cingulate Cortex Mediates State-Dependent Prioritization of Distressed Conspecifics.

Brain sciences·2026

Same journal

Hemispherotomy for Pediatric Post-Traumatic Epilepsy.

Brain sciences·2026

Same journal

When Robots Learn: Artificial Intelligence and the Next Human-Centered Era of Neurorehabilitation.

Brain sciences·2026

Same journal

The Association Between Changes in White Matter Microstructure and Cognitive Function in Older Adults with Mild Cognitive Impairment.

Brain sciences·2026

Same journal

Beyond Ventricular Enlargement: Multimodal MRI Assessment Improves Surgical Decision-Making in Normal Pressure Hydrocephalus.

Brain sciences·2026

Same journal

The Effects of Personalized Observation, Execution, and Mental Imagery (POEM) Therapy in Logopenic Primary Progressive Aphasia: A Telepractice-Based Single-Case Study.

Brain sciences·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Aug 31, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences.

Maham Saeidi¹, Waldemar Karwowski¹, Farzad V Farahani^1,2

¹Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA.

|August 26, 2022

Summary

This summary is machine-generated.

Graph convolutional networks (GCNs) effectively decode individual differences in task fMRI data. This deep learning approach shows promise for brain mechanism studies, particularly in predicting gender.

Keywords:

brain decoding classification graph convolutional network human connectome project task fMRI

More Related Videos

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

fMRI Validation of fNIRS Measurements During a Naturalistic Task

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

Related Experiment Videos

Last Updated: Aug 31, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

fMRI Validation of fNIRS Measurements During a Naturalistic Task

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

Area of Science:

Neuroscience
Machine Learning
Brain Imaging

Background:

Task functional magnetic resonance imaging (fMRI) allows studying brain mechanisms during experiments.
Deep learning models are increasingly used for decoding and encoding task fMRI data.
Graph neural networks (GNNs) show potential for task fMRI decoding by leveraging graph properties.

Purpose of the Study:

To propose and evaluate an end-to-end graph convolutional network (GCN) framework for classifying task fMRI data.
To compare the performance of different node embedding algorithms within the GCN framework.
To assess the GCN's ability to predict individual differences, including gender and fluid intelligence.

Main Methods:

Developed a three-layer GCN framework for task fMRI data classification.
Utilized the Human Connectome Project dataset.
Compared four node embedding algorithms: NetMF, RandNE, Node2Vec, and Walklets.
Evaluated classification performance on sub-datasets stratified by gender and fluid intelligence.

Main Results:

The GCN framework achieved high accuracy in predicting individual differences (0.978 with NetMF, 0.976 with RandNE).
Significant differences were observed in predicting gender.
No significant differences were found in predicting high/low fluid intelligence.

Conclusions:

The proposed GCN framework demonstrates a superior ability to model task fMRI data.
Node embedding algorithms significantly impact GCN performance in fMRI analysis.
GCNs show potential for identifying neural correlates of individual differences like gender.