Moving beyond the ‘CAP’ of the Iceberg: Intrinsic connectivity networks in fMRI are continuously engaging and overlapping

• DOI: 10.1016/j.neuroimage.2022.119013
• Publication Date: 2022-02-18T16:47:09Z
• Authors: A. Iraji; A. Faghiri; Z. Fu; P. Kochunov; B.M. Adhikari; A. Belger; J.M. Ford; S. McEwen; D.H. Mathalon; G.D. Pearlson; S.G. Potkin; A. Preda; J.A. Turner; T.G.M. Van Erp; C. Chang; V.D. Calhoun
• Keywords: Dynamic functional connectivity; AKA

Resting-state functional magnetic resonance imaging is currently the mainstay of neuroimaging and has allowed researchers to identify intrinsic connectivity networks (aka networks) at different spatial scales. However, little known about temporal profiles these whether it best model them as continuous phenomena in both space time or, rather, a set temporally discrete events. Both categories have been supported by series studies with promising findings. critical question focusing only on points presumed contain isolated neural events disregarding rest data missing important information, potentially leading misleading conclusions. In this work, we argue that brain identified within spontaneous blood oxygenation level-dependent (BOLD) signal are not limited sparse burst moments event present (EPTs) valuable but incomplete information underlying patterns. We focus default mode show evidence consistent its presence BOLD signal, including during absent (EATs), i.e., exhibit minimum activity least likely an event. Moreover, our findings suggest EPTs may all available their corresponding networks. observe distinct patterns obtained from (AllTPs), EPTs, EATs. robust relationships schizophrenia symptoms common unique each sets (AllTPs, EATs), related transient connectivity. Together, indicate importance leveraging full studies, those using event-detection approaches.