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A Method to Determine the Necessity for Global Signal Regression in Resting-State fMRI Studies

An Objective Autoselection of Resting-State Networks Based on Time Course Correlation

Correction of Hemodynamic Latency Based on Breath Holding Improves Granger Causality Obtained from fMRI Data

Effects of Low Pass Filtering and Autocorrelation on Resting State fMRI as Investigated Using a Regression Model in SPM8

Grading Resting-State fMRI Datasets by Reweighted L1 Regression