Jingyuan E. Chen1,2, Hesamoddin Jahanian2, and Gary H. Glover1,2
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States
A growing number of studies using fast
sampling have demonstrated the persistence of functional connectivity (FC) in
resting state (RS) networks beyond the conventional 0.1 Hz. However, some RS
studies have reported frequencies (e.g., up to 5 Hz) not easily supported by
canonical hemodynamic response functions. Here, we investigated the influence
of a common preprocessing step – whole-band (the entire frequency band resolved
by a short TR) linear nuisance regression (LNR) – on RSFC. We demonstrated via both
simulation and real data that LNR can introduce network structures in HF bands,
which may largely account for the observations of HF-RSFC.
