Abstract
Most approaches to the analysis of resting-state BOLD-fMRI data assume that BOLD signal reflects spontaneous neural oscillations, the frequency-domain properties of which are poorly understood. The frequency of neural signaling from these sources varies rapidly with time. Techniques which capture these nonstationary dynamics may therefore reflect clinically significant differences in neural activity. One such technique is the Hilbert-Huang transform, which empirically decomposes a signal into different rhythms of variable frequency, termed Intrinsic Mode Functions (IMFs).
Published Version
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