Search research articles

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

Cortical reinstatement of causally related events sparks narrative insights by updating neural representation patterns.

Nature communications·2026

Same author

Geometry of neural dynamics along the cortical attractor landscape reflects changes in attention.

Nature communications·2026

Same author

Two views of the brain are reconciled by a unifying principle of maximal information processing.

bioRxiv : the preprint server for biology·2025

Same author

Identification of modulated whole-brain dynamical models from nonstationary electrophysiological data.

Journal of neural engineering·2025

Same author

Short-term sensory memory mediates adaptation, habituation, and a paradoxical neural-behavioral transformation in <i>C. elegans</i>.

bioRxiv : the preprint server for biology·2025

Same author

Hippocampal systems for event encoding and sequencing during ongoing narrative comprehension.

Communications biology·2025

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

Search research articles

Related Experiment Video

Updated: May 5, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Task-induced topological and geometrical changes in whole-brain dynamics predict cognitive individual differences.

Ruiqi Chen¹, Hayoung Song², ShiNung Ching³

¹Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO, USA.

Biorxiv : the Preprint Server for Biology

|May 4, 2026

Summary

This summary is machine-generated.

This study reveals how resting-state and task-based fMRI reflect different brain states within a common dynamical system. Task performance depends on how brain dynamics shift between rest and cognitive tasks, explaining individual differences.

More Related Videos

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

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

Published on: March 21, 2019

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Related Experiment Videos

Last Updated: May 5, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

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

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

Published on: March 21, 2019

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Neuroscience

Background:

Functional magnetic resonance imaging (fMRI) advances understanding of cognition's neural basis.
The relationship between resting-state fMRI (rsfMRI) and task-based fMRI (tfMRI) and its link to cognitive function remains unclear.

Purpose of the Study:

To test a computational model linking rsfMRI and tfMRI dynamics.
To investigate how task contexts modulate brain dynamics and individual cognitive differences.

Main Methods:

Developed Mesoscale Individualized NeuroDynamics with eXogenous inputs (MINDy-X) framework.
Applied MINDy-X to resting and N-back working memory task data from the Human Connectome Project.
Modeled and analyzed joint rsfMRI-tfMRI data to understand brain dynamics.

Main Results:

The MINDy-X model accurately simulated and predicted both rsfMRI and tfMRI data.
Task performance shifted brain dynamics from multistable to monostable states, altering attractor landscapes.
Individual differences in dynamic shifts correlated with N-back task performance, error rates, and response caution.

Conclusions:

rsfMRI and tfMRI reflect different states of a common nonlinear dynamical system.
Cognitive function can be characterized by the geometry and topology of brain attractor landscapes.
This framework offers new insights into brain activity patterns and individual variability in neuroscience research.