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

Overview of attention for article published in Brain Topography, February 2018
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Title
Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI
Published in
Brain Topography, February 2018
DOI 10.1007/s10548-018-0631-1
Pubmed ID
Authors

Marco Marino, Quanying Liu, Mariangela Del Castello, Cristiana Corsi, Nicole Wenderoth, Dante Mantini

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Student > Master 4 13%
Student > Bachelor 2 7%
Researcher 2 7%
Professor > Associate Professor 2 7%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Neuroscience 7 23%
Engineering 4 13%
Computer Science 2 7%
Psychology 2 7%
Medicine and Dentistry 2 7%
Other 4 13%
Unknown 9 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2018.
All research outputs
#14,092,894
of 23,023,224 outputs
Outputs from Brain Topography
#259
of 485 outputs
Outputs of similar age
#234,278
of 442,608 outputs
Outputs of similar age from Brain Topography
#10
of 18 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 485 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.