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


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Date

2018-05

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

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.

Publication status

published

Editor

Book title

Volume

31 (3)

Pages / Article No.

337 - 345

Publisher

Springer

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Ballistocardiogram (BCG); Inter-trial variability ; Non-stationarity; EEG–fMRI; Multimodal imaging

Organisational unit

03963 - Wenderoth, Nicole / Wenderoth, Nicole check_circle
02535 - Institut für Bewegungswiss. und Sport / Institut of Human Movement Sc. and Sport

Notes

It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.

Funding

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