Scale-invariant rearrangement of resting state networks in the human brain under sustained stimulation

• DOI: 10.1016/j.neuroimage.2018.06.006
• Publication Date: 2018-07-05T08:14:13Z
• Authors: Silvia Tommasin; Daniele Mascali; Marta Moraschi; Tommaso Gili; Ibrahim Eid Hassan; Michela Fratini; Mauro DiNuzzo; Richard G. Wise; Silvia Mangia; Emiliano Macaluso; Federico Giove
• Keywords: Human brain

Brain activity at rest is characterized by widely distributed and spatially specific patterns of synchronized low-frequency blood-oxygenation level-dependent (BOLD) fluctuations, which correspond to physiologically relevant brain networks. This network behaviour known persist also during task execution, yet the details underlying task-associated modulations within- between-network connectivity are largely unknown. In this study we exploited a multi-parametric multi-scale approach investigate how fluctuations adapt sustained n-back working memory task. We found that transition from resting state involves behaviourally scale-invariant modulation synchronization within both task-positive default mode Specifically, decreases networks accompanied increases between spite large widespread changes strength, overall topology remarkably preserved. show these findings strongly influenced rest, suggesting absolute change (i.e., disregarding baseline) may not be most suitable metric dynamic functional connectivity. Our results indicate can evoke scale-invariant, BOLD further confirming low frequency oscillations specialized response tightly bound task-evoked activation.