Reference-free removal of EEG-fMRI ballistocardiogram artifacts with harmonic regression.

ABSTRACT: Combining electroencephalogram (EEG) recording and functional magnetic resonance imaging (fMRI) offers the potential for imaging brain activity with high spatial and temporal resolution. This potential remains limited by the significant ballistocardiogram (BCG) artifacts induced in the EEG by cardiac pulsation-related head movement within the magnetic field. We model the BCG artifact using a harmonic basis, pose the artifact removal problem as a local harmonic regression analysis, and develop an efficient maximum likelihood algorithm to estimate and remove BCG artifacts. Our analysis paradigm accounts for time-frequency overlap between the BCG artifacts and neurophysiologic EEG signals, and tracks the spatiotemporal variations in both the artifact and the signal. We evaluate performance on

SUBMITTER: Krishnaswamy P 

PROVIDER: S-EPMC4761527 | biostudies-literature | 2016 Mar

REPOSITORIES: biostudies-literature