20.500.12556/RUP-22562 Baseline resting-state network integration modulates task performance and aftereffect Understanding how intrinsic brain networks adapt to cognitive demands is central to neuroscience. The aim of this study was to examine how eyes-open and eyes-closed resting-state network integration, derived from electroencephalography before and after a visual oddball task, relates to task performance in young adults. Task engagement reduced global integration in theta, lower alpha, and beta bands, independent of eye condition, indicating a transient shift toward a less demanding post-task configuration. Eyes-open resting states consistently exhibited higher integration than eyes-closed in the upper alpha band, both before and after the task, reflecting enhanced inter-regional communication and sensory readiness. Importantly, higher pre-task beta-band integration during eyes-open resting state predicted faster reaction times and larger post-task decreases in integration, highlighting baseline network organization as a determinant of cognitive efficiency and neural flexibility. These findings support the concept of neural reserve, where intrinsic network efficiency and adaptability underpin both performance readiness and dynamic reorganization. Overall, the results demonstrate that resting-state network integration— modulated by both eye condition and task engagement—captures fundamental aspects of the brain’s capacity for efficient and flexible cognitive function. electroencephalography brain network integration cognitive task neuropsychology elektroencefalografija integracija možganskih omrežij kognitivna naloga nevropsihologija true false true Angleški jezik Slovenski jezik Članek v reviji 2026-01-29 12:44:57 2026-01-29 12:44:59 2026-01-30 03:04:04 0000-00-00 00:00:00 2026 0 0 str. 1-12 iss. 1, [article no.] 41 Vol. 26 Jan.-1 2026 0000-00-00 Zaloznikova NiDoloceno NiDoloceno 0000-00-00 0000-00-00 2025-12-20 004:616.831-073.7-71 1424-8220 10.3390/s26010041 266590979 RAZ_Pozar_Rok_2026.pdf RAZ_Pozar_Rok_2026.pdf 1 8BD4E9FB0DE13768B87AF5854ACDBF7B 0d0644e9c1abb457ce445254088ba8369340e37e8d84e27ee53e629cd56e2c3a 1f1595c2-fd08-11f0-b092-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=32819 https://www.mdpi.com/1424-8220/26/1/41 1 f6f68ee5-fd07-11f0-b092-005056ac49c0 https://repozitorij.upr.si/Dokument.php?lang=slv&id=32818 Fakulteta za matematiko, naravoslovje in informacijske tehnologije 0 0 0