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