Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings

被引：3

作者：

Uji, Makoto ^{[1
,2
]}

Cross, Nathan ^{[3
,4
,5
]}

Pomares, Florence B. ^{[3
,4
,5
]}

Perrault, Aurore A. ^{[3
,4
,5
]}

Jegou, Aude ^{[1
,2
,6
]}

Nguyen, Alex ^{[3
,4
,5
]}

Aydin, Umit ^{[1
,2
,7
]}

Lina, Jean-Marc ^{[8
,9
]}

Dang-Vu, Thien Thanh ^{[3
,4
,5
]}

Grova, Christophe ^{[1
,2
,9
,10
]}

机构：

[1] Concordia Univ, Multimodal Funct Imaging Lab, Dept Phys, 7141 Sherbrooke St West,SP 165-30, Montreal, PQ H4B 1R6, Canada

[2] Concordia Univ, PERFORM Ctr, 7141 Sherbrooke St West,SP 165-30, Montreal, PQ H4B 1R6, Canada

[3] Concordia Univ, Dept Hlth Kinesiol & Appl Physiol, PERFORM Ctr, Ctr Studies Behav Neurobiol, Montreal, PQ, Canada

[4] Inst Univ Geriatrie Montreal, Montreal, PQ, Canada

[5] CIUSSS Ctr Sud de lIle de Montreal, CRIUGM, Montreal, PQ, Canada

[6] Aix Marseille Univ, Inst Neurosci Syst, INSERM, INS, Marseille, France

[7] Kings Coll London, Inst Psychiat Psychol & Neurosci, Social Genet & Dev Psychiat Ctr, London, England

[8] Ecole Technol Super, Dept Genie Elect, Montreal, PQ, Canada

[9] Ctr Rech Math, Montreal, PQ, Canada

[10] McGill Univ, Multimodal Funct Imaging Lab, Dept Biomed Engn, Neurol & Neurosurg Dept, Montreal, PQ, Canada

来源：

HUMAN BRAIN MAPPING | 2021年 / 42卷 / 12期

基金：

加拿大自然科学与工程研究理事会; 加拿大健康研究院;

关键词：

ballistocardiogram (BCG) artefacts; beamforming technique; EEG-fMRI; motor beta ERD; time-frequency analysis; visual alpha event-related desynchronization (ERD); SIMULTANEOUS EEG-FMRI; EVENT-RELATED POTENTIALS; BOUNDARY-ELEMENT METHOD; SINGLE-TRIAL ANALYSIS; BOLD RESPONSE; NEURAL ACTIVITY; COMBINING EEG; SOURCE LOCALIZATION; EPILEPTIC SPIKES; LIGHT SLEEP;

D O I：

10.1002/hbm.25535

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Simultaneous recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a very promising non-invasive neuroimaging technique. However, EEG data obtained from the simultaneous EEG-fMRI are strongly influenced by MRI-related artefacts, namely gradient artefacts (GA) and ballistocardiogram (BCG) artefacts. When compared to the GA correction, the BCG correction is more challenging to remove due to its inherent variabilities and dynamic changes over time. The standard BCG correction (i.e., average artefact subtraction [AAS]), require detecting cardiac pulses from simultaneous electrocardiography (ECG) recording. However, ECG signals are also distorted and will become problematic for detecting reliable cardiac peaks. In this study, we focused on a beamforming spatial filtering technique to attenuate all unwanted source activities outside of the brain. Specifically, we applied the beamforming technique to attenuate the BCG artefact in EEG-fMRI, and also to recover meaningful task-based neural signals during an attentional network task (ANT) which required participants to identify visual cues and respond accurately. We analysed EEG-fMRI data in 20 healthy participants during the ANT, and compared four different BCG corrections (non-BCG corrected, AAS BCG corrected, beamforming + AAS BCG corrected, beamforming BCG corrected). We demonstrated that the beamforming approach did not only significantly reduce the BCG artefacts, but also significantly recovered the expected task-based brain activity when compared to the standard AAS correction. This data-driven beamforming technique appears promising especially for longer data acquisition of sleep and resting EEG-fMRI. Our findings extend previous work regarding the recovery of meaningful EEG signals by an optimized suppression of MRI-related artefacts.

引用

页码：3993 / 4021

页数：29

共 130 条

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