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

The digital technology-well-being paradox: No link between digital use and life satisfaction in older adults.

Digital health·2026
Same author

Longitudinal trajectories of depressive symptoms in children are influenced by baseline inflammation and HIV status.

medRxiv : the preprint server for health sciences·2025
Same author

Cognitive abilities and internet use among older adults in the Czech Republic and Slovenia.

Digital health·2025
Same author

Cardiometabolic disorders and mild cognitive impairment in White and Black Americans.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Associations Between Stroke Type, Ischemic Stroke Subtypes, and Poststroke Cognitive Trajectories.

Stroke·2025
Same author

Trajectory of Cognitive Function After Incident Heart Failure.

Circulation. Heart failure·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 13, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

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

10.5K

Baseline Resting-State Network Integration Modulates Task Performance and Aftereffect.

Rok Požar1,2,3, Tim Martin4, Mary Katherine Kerlin4

  • 1Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
Summary
This summary is machine-generated.

Brain network integration changes with cognitive tasks. Higher resting-state beta-band integration in eyes-open conditions predicts better performance and adaptability.

Keywords:
brain network integrationcognitive taskelectroencephalographyneuropsychology

More Related Videos

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

782
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.7K

Related Experiment Videos

Last Updated: Jan 13, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
09:01

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

10.5K
Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
07:56

Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS

Published on: June 24, 2025

782
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

Published on: July 1, 2014

15.7K

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Network Dynamics

Background:

  • Understanding intrinsic brain network adaptation to cognitive demands is crucial.
  • Resting-state network integration provides insights into cognitive flexibility and efficiency.

Purpose of the Study:

  • To investigate how eyes-open and eyes-closed resting-state network integration relates to task performance in young adults.
  • To examine changes in network integration before and after a visual oddball task.

Main Methods:

  • Electroencephalography (EEG) was used to derive resting-state network integration.
  • Data were collected before and after a visual oddball task in young adults.
  • Analysis focused on different frequency bands (theta, alpha, beta) and eye conditions.

Main Results:

  • Task engagement decreased global integration across theta, lower alpha, and beta bands.
  • Eyes-open resting states showed higher upper alpha band integration than eyes-closed states.
  • Pre-task beta-band integration during eyes-open rest predicted faster reaction times and greater post-task integration decreases.

Conclusions:

  • Resting-state network integration, influenced by eye condition and task engagement, reflects cognitive efficiency and neural flexibility.
  • Baseline network organization is a key determinant of cognitive performance and adaptability, supporting the concept of neural reserve.