Literature DB >> 29427251

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

Marco Marino1,2,3, Quanying Liu1,3, Mariangela Del Castello4, Cristiana Corsi4, Nicole Wenderoth1,3, Dante Mantini5,6,7.   

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.

Entities:  

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

Mesh:

Year:  2018        PMID: 29427251     DOI: 10.1007/s10548-018-0631-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  5 in total

Review 1.  Current challenges: the ups and downs of tACS.

Authors:  Nicholas S Bland; Martin V Sale
Journal:  Exp Brain Res       Date:  2019-10-16       Impact factor: 1.972

2.  Hemodynamic Correlates of Electrophysiological Activity in the Default Mode Network.

Authors:  Marco Marino; Giorgio Arcara; Camillo Porcaro; Dante Mantini
Journal:  Front Neurosci       Date:  2019-10-04       Impact factor: 4.677

3.  EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization.

Authors:  Mateusz Rusiniak; Harald Bornfleth; Jae-Hyun Cho; Tomasz Wolak; Nicole Ille; Patrick Berg; Michael Scherg
Journal:  Front Neurosci       Date:  2022-03-10       Impact factor: 4.677

Review 4.  When Is Simultaneous Recording Necessary? A Guide for Researchers Considering Combined EEG-fMRI.

Authors:  Catriona L Scrivener
Journal:  Front Neurosci       Date:  2021-06-29       Impact factor: 4.677

5.  Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI.

Authors:  Marco Marino; Quanying Liu; Vlastimil Koudelka; Camillo Porcaro; Jaroslav Hlinka; Nicole Wenderoth; Dante Mantini
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

  5 in total

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