nach oben

Brain Topography

Erschienen in:

09.02.2018 | Original Paper

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

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

Erschienen in: Brain Topography | Ausgabe 3/2018

Einloggen, um Zugang zu erhalten

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.

Nur mit Berechtigung zugänglich

Abreu R, Leite M, Jorge J, Grouiller F, van der Zwaag W, Leal A, Figueiredo P (2016) Ballistocardiogram artifact correction taking into account physiological signal preservation in simultaneous EEG–fMRI. Neuroimage 135:45–63. https://doi.org/10.1016/j.neuroimage.2016.03.034 CrossRefPubMed

Allen PJ, Polizzi G, Krakow K, Fish DR, Lemieux L (1998) Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction. Neuroimage 8(3):229–239. https://doi.org/10.1006/nimg.1998.0361 CrossRefPubMed

Allen PJ, Josephs O, Turner R (2000) A method for removing imaging artifact from continuous EEG recorded during functional MRI. Neuroimage 12(2):230–239. https://doi.org/10.1006/nimg.2000.0599 CrossRefPubMed

Assecondi S, Hallez H, Staelens S, Bianchi AM, Huiskamp GM, Lemahieu I (2009) Removal of the ballistocardiographic artifact from EEG–fMRI data: a canonical correlation approach. Phys Med Biol 54(6):1673–1689. https://doi.org/10.1088/0031-9155/54/6/018 CrossRefPubMed

Bonmassar G, Purdon PL, Jaaskelainen IP, Chiappa K, Solo V, Brown EN, Belliveau JW (2002) Motion and ballistocardiogram artifact removal for interleaved recording of EEG and EPs during MRI. Neuroimage 16(4):1127–1141CrossRefPubMed

Comon P (1994) Independent component analysis: a new concept? Sig Process 36:287–314CrossRef

Debener S, Ullsperger M, Siegel M, Fiehler K, von Cramon DY, Engel AK (2005) Trial-by-trial coupling of concurrent electroencephalogram and functional magnetic resonance imaging identifies the dynamics of performance monitoring. J Neurosci 25(50):11730–11737. https://doi.org/10.1523/JNEUROSCI.3286-05.2005 CrossRefPubMed

Debener S, Strobel A, Sorger B, Peters J, Kranczioch C, Engel AK, Goebel R (2007) Improved quality of auditory event-related potentials recorded simultaneously with 3-T fMRI: removal of the ballistocardiogram artefact. Neuroimage 34(2):587–597. https://doi.org/10.1016/j.neuroimage.2006.09.031 CrossRefPubMed

Debener S, Mullinger KJ, Niazy RK, Bowtell RW (2008) Properties of the ballistocardiogram artefact as revealed by EEG recordings at 1.5, 3 and 7 T static magnetic field strength. Int J Psychophysiol 67(3):189–199. https://doi.org/10.1016/j.ijpsycho.2007.05.015 CrossRefPubMed

Debener S, Kranczioch C, Gutberlet I (2009) EEG quality: origin and reduction of the EEG cardiac-related artefact. In: Mulert C, Lemieux L (eds) EEG–fMRI. Springer, Berlin

Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134(1):9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009 CrossRefPubMed

Grouiller F, Jorge J, Pittau F, van der Zwaag W, Iannotti GR, Michel CM, Vuilliemoz S, Vargas MI, Lazeyras F (2016). Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results. Magma 29(3):605 – 616CrossRefPubMed

Iannotti GR, Pittau F, Michel CM, Vulliemoz S, Grouiller F (2015) Pulse artifact detection in simultaneous EEG–fMRI recording based on EEG map topography. Brain Topogr 28(1):21–32. https://doi.org/10.1007/s10548-014-0409-z CrossRefPubMed

Krishnaswamy P, Bonmassar G, Poulsen C, Pierce ET, Purdon PL, Brown EN (2016) Reference-free removal of EEG–fMRI ballistocardiogram artifacts with harmonic regression. NeuroImage 128:398–412CrossRefPubMed

LeVan P, Maclaren J, Herbst M, Sostheim R, Zaitsev M, Hennig J (2013) Ballistocardiographic artifact removal from simultaneous EEG–fMRI using an optical motion-tracking system. NeuroImage 75:1–11CrossRefPubMed

Liu Q, Balsters JH, Baechinger M, van der Groen O, Wenderoth N, Mantini D (2015) Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model. J Neural Eng 12(5):056012CrossRefPubMedPubMedCentral

Mantini D, Perrucci MG, Cugini S, Ferretti A, Romani GL, Gratta D, C (2007a) Complete artifact removal for EEG recorded during continuous fMRI using independent component analysis. Neuroimage 34(2):598–607. https://doi.org/10.1016/j.neuroimage.2006.09.037 CrossRefPubMed

Mantini D, Perrucci MG, Del Gratta C, Romani GL, Corbetta M (2007b) Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA 104(32):13170–13175. https://doi.org/10.1073/pnas.0700668104 CrossRefPubMedPubMedCentral

Mantini D, Marzetti L, Corbetta M, Romani GL, Del Gratta C (2010) Multimodal integration of fMRI and EEG data for high spatial and temporal resolution analysis of brain networks. Brain Topogr 23(2):150–158CrossRefPubMedPubMedCentral

Masterton RA, Abbott DF, Fleming SW, Jackson GD (2007) Measurement and reduction of motion and ballistocardiogram artefacts from simultaneous EEG and fMRI recordings. Neuroimage 37(1):202–211. https://doi.org/10.1016/j.neuroimage.2007.02.060 CrossRefPubMed

McAvoy M, Mitra A, Tagliazucchi E, Laufs H, Raichle ME (2017) Mapping visual dominance in human sleep. NeuroImage 150:250–261CrossRef

Mullinger KJ, Havenhand J, Bowtell R (2013) Identifying the sources of the pulse artefact in EEG recordings made inside an MR scanner. Neuroimage 71:75–83. https://doi.org/10.1016/j.neuroimage.2012.12.070 CrossRefPubMedPubMedCentral

Müri RM, Felblinger J, Rosler KM, Jung B, Hess CW, Boesch C (1998) Recording of electrical brain activity in a magnetic resonance environment: distorting effects of the static magnetic field. Magn Reson Med 39(1):18–22CrossRefPubMed

Nakamura W, Anami K, Mori T, Saitoh O, Cichocki A, Amari S (2006) Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis. IEEE Trans Biomed Eng 53(7):1294–1308. https://doi.org/10.1109/TBME.2006.875718 CrossRefPubMed

Neuner I, Arrubla J, Felder J, Shah NJ (2014). Simultaneous EEG–fMRI acquisition at low, high and ultra-high magnetic fields up to 9.4 T: perspectives and challenges. Neuroimage 102:71–79CrossRef

Niazy RK, Beckmann CF, Iannetti GD, Brady JM, Smith SM (2005) Removal of FMRI environment artifacts from EEG data using optimal basis sets. Neuroimage 28(3):720–737. https://doi.org/10.1016/j.neuroimage.2005.06.067 CrossRefPubMed

Oh SS, Han Y, Lee J, Yun SD, Kang JK, Lee EM, Yoon HW, Chung JY, Park H (2014) A pulse artifact removal method considering artifact variations in the simultaneous recording of EEG and fMRI. Neurosci Res 81–82:42–50. https://doi.org/10.1016/j.neures.2014.01.008 CrossRefPubMed

Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012) Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59(3):2142–2154. https://doi.org/10.1016/j.neuroimage.2011.10.018 CrossRefPubMed

Srivastava G, Crottaz-Herbette S, Lau KM, Glover GH, Menon V (2005) ICA-based procedures for removing ballistocardiogram artifacts from EEG data acquired in the MRI scanner. Neuroimage 24(1):50–60. https://doi.org/10.1016/j.neuroimage.2004.09.041 CrossRefPubMed

Vanderperren K, De Vos M, Ramautar JR, Novitskiy N, Mennes M, Assecondi S et al (2010) Removal of BCG artifacts from EEG recordings inside the MR scanner: a comparison of methodological and validation-related aspects. Neuroimage 50(3):920–934. https://doi.org/10.1016/j.neuroimage.2010.01.010 CrossRefPubMed

Yan WX, Mullinger KJ, Geirsdottir GB, Bowtell R (2010) Physical modeling of pulse artefact sources in simultaneous EEG/fMRI. Hum Brain Mapp 31(4):604–620. https://doi.org/10.1002/hbm.20891 PubMed

Titel: Heart–Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI
verfasst von: Marco Marino
Quanying Liu
Mariangela Del Castello
Cristiana Corsi
Nicole Wenderoth
Dante Mantini
Publikationsdatum: 09.02.2018
Verlag: Springer US
Erschienen in: Brain Topography / Ausgabe 3/2018
Print ISSN: 0896-0267
Elektronische ISSN: 1573-6792
DOI: https://doi.org/10.1007/s10548-018-0631-1

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

25.04.2024 | Hypotonie | Nachrichten

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

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

Abstract

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Update Neurologie

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 3/2018

Neuroanatomical Correlates of Transcranial Magnetic Stimulation in Presymptomatic Granulin Mutation Carriers

Fast Neural Dynamics of Proactive Cognitive Control in a Task-Switching Analogue of the Wisconsin Card Sorting Test

Intrinsic Network Connectivity Patterns Underlying Specific Dimensions of Impulsiveness in Healthy Young Adults

Neural Mechanisms of Attentional Switching Between Pain and a Visual Illusion Task: A Laser Evoked Potential Study

EEG Source Imaging Indices of Cognitive Control Show Associations with Dopamine System Genes

Brain Networks are Independently Modulated by Donepezil, Sleep, and Sleep Deprivation

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Update Neurologie