Electroencephalographic activity patterns distinguish interdigitated default and frontoparietal networks

Electrophysiological correlates distinguish two fractionated default-network subcomponents (DNa vs DNb) within canonical DN, with DNa linked to alpha/high-beta and DNb to theta/low-beta power.

• Why it matters: fMRI fractionation is limited by its insensitivity to fast neural dynamics, leaving individual-level, neurophysiological characterization of interdigitated networks unresolved.
• What they did: In a simultaneous EEG-fMRI design with multiple sessions per person across resting and task conditions, precision network mapping and artifact-corrected carbon wire loop sensors identified BOLD-linked EEG power signatures for DN subcomponents.
• The result: Network-specific EEG patterns were reliable across sessions, only modestly changed from rest to demanding tasks, and were detectable across neighboring nodes in multiple cortical zones, informing rhythmic mechanisms for divergent cognition.

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