Literature DB >> 25344750

Characterisation and reduction of the EEG artefact caused by the helium cooling pump in the MR environment: validation in epilepsy patient data.

Sven Rothlübbers1, Vânia Relvas, Alberto Leal, Teresa Murta, Louis Lemieux, Patrícia Figueiredo.   

Abstract

The EEG acquired simultaneously with fMRI is distorted by a number of artefacts related to the presence of strong magnetic fields, which must be reduced in order to allow for a useful interpretation and quantification of the EEG data. For the two most prominent artefacts, associated with magnetic field gradient switching and the heart beat, reduction methods have been developed and applied successfully. However, a number of artefacts related to the MR-environment can be found to distort the EEG data acquired even without ongoing fMRI acquisition. In this paper, we investigate the most prominent of those artefacts, caused by the Helium cooling pump, and propose a method for its reduction and respective validation in data collected from epilepsy patients. Since the Helium cooling pump artefact was found to be repetitive, an average template subtraction method was developed for its reduction with appropriate adjustments for minimizing the degradation of the physiological part of the signal. The new methodology was validated in a group of 15 EEG-fMRI datasets collected from six consecutive epilepsy patients, where it successfully reduced the amplitude of the artefact spectral peaks by 95 ± 2 % while the background spectral amplitude within those peaks was reduced by only -5 ± 4 %. Although the Helium cooling pump should ideally be switched off during simultaneous EEG-fMRI acquisitions, we have shown here that in cases where this is not possible the associated artefact can be effectively reduced in post processing.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25344750     DOI: 10.1007/s10548-014-0408-0

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


  7 in total

1.  "Eyes Open - Eyes Closed" EEG/fMRI data set including dedicated "Carbon Wire Loop" motion detection channels.

Authors:  Johan van der Meer; André Pampel; Eus van Someren; Jennifer Ramautar; Ysbrand van der Werf; German Gomez-Herrero; Jöran Lepsien; Lydia Hellrung; Hermann Hinrichs; Harald Möller; Martin Walter
Journal:  Data Brief       Date:  2016-03-09

2.  Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF).

Authors:  David Steyrl; Gunther Krausz; Karl Koschutnig; Günter Edlinger; Gernot R Müller-Putz
Journal:  Brain Topogr       Date:  2017-11-09       Impact factor: 3.020

Review 3.  EEG-Informed fMRI: A Review of Data Analysis Methods.

Authors:  Rodolfo Abreu; Alberto Leal; Patrícia Figueiredo
Journal:  Front Hum Neurosci       Date:  2018-02-06       Impact factor: 3.169

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

Review 6.  Simultaneous EEG-fMRI: What Have We Learned and What Does the Future Hold?

Authors:  Tracy Warbrick
Journal:  Sensors (Basel)       Date:  2022-03-15       Impact factor: 3.576

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

Authors:  Makoto Uji; Nathan Cross; Florence B Pomares; Aurore A Perrault; Aude Jegou; Alex Nguyen; Umit Aydin; Jean-Marc Lina; Thien Thanh Dang-Vu; Christophe Grova
Journal:  Hum Brain Mapp       Date:  2021-06-08       Impact factor: 5.038

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.