Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI

• Published in: Brain topography Vol. 31; no. 3; pp. 337 - 345
• Main Authors: Marino, Marco, Liu, Quanying, Del Castello, Mariangela, Corsi, Cristiana, Wenderoth, Nicole, Mantini, Dante
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2018; Springer Nature B.V
• Subjects: Bacillus Calmette-Guerin vaccine; BCG; Biomedical and Life Sciences; Biomedicine; Brain mapping; EEG; EKG; Electroencephalography; Functional magnetic resonance imaging; Heart; Heart diseases; Neuroimaging; Neurology; Neurosciences; Original Paper; Psychiatry; Spatial distribution; Temporal variations; Inter-trial variability; EEG–fMRI; Multimodal imaging; Ballistocardiogram (BCG); Non-stationarity
• ISSN: 0896-0267; 1573-6792; 1573-6792
• DOI: 10.1007/s10548-018-0631-1

The ballistocardiographic (BCG) artifact is linked to cardiac activity and occurs in electroencephalographic (EEG) recordings acquired inside the magnetic resonance (MR) environment. Its variability in terms of amplitude, waveform shape and spatial distribution over subject’s scalp makes its attenuation a challenging task. In this study, we aimed to provide a detailed characterization of the BCG properties, including its temporal dependency on cardiac events and its spatio-temporal dynamics. To this end, we used high-density EEG data acquired during simultaneous functional MR imaging in six healthy volunteers. First, we investigated the relationship between cardiac activity and BCG occurrences in the EEG recordings. We observed large variability in the delay between ECG and subsequent BCG events (ECG–BCG delay) across subjects and non-negligible epoch-by-epoch variations at the single subject level. The inspection of spatial–temporal variations revealed a prominent non-stationarity of the BCG signal. We identified five main BCG waves, which were common across subjects. Principal component analysis revealed two spatially distinct patterns to explain most of the variance (85% in total). These components are possibly related to head rotation and pulse-driven scalp expansion, respectively. Our results may inspire the development of novel, more effective methods for the removal of the BCG, capable of isolating and attenuating artifact occurrences while preserving true neuronal activity.