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Abstract #5383

Frequency characteristics of resting-state fMRI functional networks

Nicole Yuen1 and Jean Chen1,2

1Roman Research Institute, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON

This study examines the frequency dependence of functional connectivity patterns as measured using resting-state fMRI (rs-fMRI). We decompose the rs-fMRI signal into its intrinsic mode functions (IMFs) using the recently proposed variational mode decomposition (VMD) technique, which provides increased frequency precision and reduced modal mixing than previous methods. We show that many functional connectivity patterns can only be seen in a certain frequency range, contrasting previous findings. We concluded that the correlation patterns are frequency dependent and are more prominent and consistent in the lower frequency range.

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