4.7 Article

Multi-timepoint pattern analysis: Influence of personality and behavior on decoding context-dependent brain connectivity dynamics

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Summary: Brain functional connectivity measured by resting-state fMRI has been found to vary over time scales, with recurrent dynamic functional connectivity states identified. These states are linked to different cognitive and pathological states, holding potential as disease biomarkers, but the neuronal mechanisms underlying them are still debated. Recurrent microstates in resting-state EEG studies have also been connected to large-scale network activity, and our study found that these EEG microstates can predict fMRI dFC states with high accuracy, supporting the idea that EEG microstates reflect the dynamics of brain networks.

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