Seed dependence of the anti-correlations between the default-mode network and task-positive network

With seed-based correlation analysis, literatures on brain spontaneous activity have demonstrated that the default-mode network (DMN) is negatively correlated with a set of brain regions, referred to as the task-positive network (TPN) at rest[1]. However, regions compromised in the TPN and the extent of anti-correlations are inconsistent across different studies. Its widely acknowledged that the reported inconsistency derives from specific MR acquisitions and distinct preprocessing steps: studies without correcting for physiological noise may fail to unveil anti-correlations buried in the physiological noises; while those conducting global signal regression (GSR) may demonstrate spurious anti-correlations due to the improper removal of informative neural information. Recently, it has been shown that, posterior cingulate cortex (PCC), the typical seed adopted by conventional analysis to study functional connectivity with respect to the DMN, has heterogeneous functions within its subparts. Its likely that seeds residing in different functional units may lead to discrepant positive/negative correlation patterns, which has never been addressed in prior studies. Here, we first obtained different PCC seeds via parcellation, then employed conventional correlation analysis and recently proposed point-process analysis[6] to study such seed dependences of the observed anti-correlations between the DMN and TPN.

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