Literature DB >> 27222442

Length matters: Improved high field EEG-fMRI recordings using shorter EEG cables.

Sara Assecondi1, Christina Lavallee1, Paolo Ferrari1, Jorge Jovicich2.   

Abstract

BACKGROUND: The use of concurrent EEG-fMRI recordings has increased in recent years, allowing new avenues of medical and cognitive neuroscience research; however, currently used setups present problems with data quality and reproducibility. NEW
METHOD: We propose a compact experimental setup for concurrent EEG-fMRI at 4T and compare it to a more standard reference setup. The compact setup uses short EEG cables connecting to the amplifiers, which are placed right at the back of the head RF coil on a form-fitting extension force-locked to the patient MR bed. We compare the two setups in terms of sensitivity to MR-room environmental noise, interferences between measuring devices (EEG or fMRI), and sensitivity to functional responses in a visual stimulation paradigm.
RESULTS: The compact setup reduces the system sensitivity to both external noise and MR-induced artefacts by at least 60%, with negligible EEG noise induced from the mechanical vibrations of the cryogenic cooling compression pump. COMPARISON WITH EXISTING
METHODS: The compact setup improved EEG data quality and the overall performance of MR-artifact correction techniques. Both setups were similar in terms of the fMRI data, with higher reproducibility for cable placement within the scanner in the compact setup.
CONCLUSIONS: This improved compact setup may be relevant to MR laboratories interested in reducing the sensitivity of their EEG-fMRI experimental setup to external noise sources, setting up an EEG-fMRI workplace for the first time, or for creating a more reproducible configuration of equipment and cables. Implications for safety and ergonomics are discussed.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Concurrent EEG–FMRI; Cryogenic pump noise; Data quality; EEG cable length; Multimodal neuroimaging

Mesh:

Year:  2016        PMID: 27222442     DOI: 10.1016/j.jneumeth.2016.05.014

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  3 in total

1.  Adaptive and Wireless Recordings of Electrophysiological Signals During Concurrent Magnetic Resonance Imaging.

Authors:  Ranajay Mandal; Nishant Babaria
Journal:  IEEE Trans Biomed Eng       Date:  2018-10-23       Impact factor: 4.538

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.  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

  3 in total

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