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Chunk #5 — Introduction

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Electroencephalography Source Functional Connectivity Reveals Abnormal High-Frequency Communication Among Large-Scale Functional Networks in Depression.
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Therefore, we aimed to capitalize on the high temporal resolution of EEG to investigate the spectral dynamics of rsFC across different frequencies in the DMN and FPN in individuals with MDD. As prior fMRI studies have shown increased within-network connectivity in the DMN and decreased within-network connectivity in the FPN in depression [16], we predicted that relative to healthy controls, individuals with MDD would exhibit stronger rsFC among regions of the DMN and weaker rsFC among regions of the FPN. Furthermore, given that deficits in emotion regulation in depression are postulated to result from a failure of fronto-parietal control systems to regulate DMN activity (indicated by less anticorrelated activity between these networks [4]), we also predicted that individuals with MDD would exhibit stronger between-network rsFC between regions of the DMN and FPN. In light of evidence suggesting that communication among resting-state networks may be driven by synchronization in discrete frequency bands, a critical aim was to determine whether any connectivity abnormalities observed those with MDD were restricted to certain frequency bands. Finally, we compared rsFC in individuals with MDD to