TY - JOUR T1 - Anticorrelated inter-network electrophysiological activity varies dynamically with attentional performance and behavioral states JF - bioRxiv DO - 10.1101/503193 SP - 503193 AU - Aaron Kucyi AU - Amy Daitch AU - Omri Raccah AU - Baotian Zhao AU - Chao Zhang AU - Michael Esterman AU - Michael Zeineh AU - Casey H. Halpern AU - Kai Zhang AU - Jianguo Zhang AU - Josef Parvizi Y1 - 2018/01/01 UR - http://biorxiv.org/content/early/2018/12/20/503193.abstract N2 - The default mode network (DMN) is thought to exhibit infraslow anticorrelated activity with dorsal attention (DAN) and salience (SN) networks across various behavioral states. To investigate the dynamics of activity across these networks on a finer timescale, we used human intracranial electroencephalography with simultaneous recordings within core nodes of the three networks. During attentional task performance, the three sites showed dissociable profiles of high-frequency broadband activity. Anticorrelated infraslow fluctuations of this activity were found across networks during task performance but also intermittently emerged during rest and sleep in concert with the expression of task-like network-level topographic patterns. Critically, on a finer timescale, DAN and SN activations preceded DMN deactivations by hundreds of milliseconds. Moreover, greater lagged, but not zero-lag, anticorrelation between DAN and DMN activity was associated with better attentional performance. These findings have implications for interpreting antagonistic network relationships and confirm the behavioral importance of time-lagged inter-network interactions. ER -