Poster Session E, Monday, March 25, 2:30 – 4:30 pm, Pacific Concourse
Attentional state dependence of time-resolved inter-network anticorrelated brain activity
Aaron Kucyi1, Josef Parvizi1; 1Stanford University
Functional neuroimaging evidence suggests that the brain’s default mode network (DMN) exhibits antagonistic activity with dorsal attention (DAN) and salience (SN) networks across various behavioral states. We aimed to resolve the temporal dynamics and potential state-dependence of this activity using human intracranial electroencephalography (iEEG) with simultaneous recordings within core nodes of the DMN (posteromedial cortex), DAN (dorsal posterior parietal cortex), and SN (dorsal anterior insular cortex). Seven neurosurgical patients performed multiple sessions of the gradual-onset continuous performance task (a test of sustained attention), and we recorded spontaneous iEEG activity during wakeful rest and sleep as well as pre-operative resting state fMRI. During attentional task performance, the three networks showed clearly dissociable magnitudes and temporal profiles of iEEG high-frequency broadband (HFB; 70-170 Hz) activity. When accounting for inter-network temporal lags of activity, we found that better behavioral performance across sessions was tightly associated with greater DAN-DMN, but not SN-DMN, anticorrelation in the HFB range. During wakeful rest and sleep states, HFB anticorrelated activity was diminished, but wider network-level organization remained similar to task states and showed iEEG-fMRI correspondence within individuals. These findings have important implications for interpreting antagonistic network relationships found with functional neuroimaging and confirm the behavioral importance of time-lagged inter-network interactions.
Topic Area: ATTENTION: Other