Literature DB >> 25449743

Simultaneous EEG-fMRI at ultra-high field: artifact prevention and safety assessment.

João Jorge1, Frédéric Grouiller2, Özlem Ipek3, Robert Stoermer4, Christoph M Michel5, Patrícia Figueiredo6, Wietske van der Zwaag3, Rolf Gruetter7.   

Abstract

The simultaneous recording of scalp electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can provide unique insights into the dynamics of human brain function, and the increased functional sensitivity offered by ultra-high field fMRI opens exciting perspectives for the future of this multimodal approach. However, simultaneous recordings are susceptible to various types of artifacts, many of which scale with magnetic field strength and can seriously compromise both EEG and fMRI data quality in recordings above 3T. The aim of the present study was to implement and characterize an optimized setup for simultaneous EEG-fMRI in humans at 7 T. The effects of EEG cable length and geometry for signal transmission between the cap and amplifiers were assessed in a phantom model, with specific attention to noise contributions from the MR scanner coldheads. Cable shortening (down to 12 cm from cap to amplifiers) and bundling effectively reduced environment noise by up to 84% in average power and 91% in inter-channel power variability. Subject safety was assessed and confirmed via numerical simulations of RF power distribution and temperature measurements on a phantom model, building on the limited existing literature at ultra-high field. MRI data degradation effects due to the EEG system were characterized via B0 and B1(+) field mapping on a human volunteer, demonstrating important, although not prohibitive, B1 disruption effects. With the optimized setup, simultaneous EEG-fMRI acquisitions were performed on 5 healthy volunteers undergoing two visual paradigms: an eyes-open/eyes-closed task, and a visual evoked potential (VEP) paradigm using reversing-checkerboard stimulation. EEG data exhibited clear occipital alpha modulation and average VEPs, respectively, with concomitant BOLD signal changes. On a single-trial level, alpha power variations could be observed with relative confidence on all trials; VEP detection was more limited, although statistically significant responses could be detected in more than 50% of trials for every subject. Overall, we conclude that the proposed setup is well suited for simultaneous EEG-fMRI at 7 T.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alpha wave; Electromagnetic simulation; Simultaneous EEG–fMRI; Ultra-high field; Visual evoked potential

Mesh:

Year:  2014        PMID: 25449743     DOI: 10.1016/j.neuroimage.2014.10.055

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  22 in total

Review 1.  Integration of multimodal neuroimaging methods: a rationale for clinical applications of simultaneous EEG-fMRI.

Authors:  Piera Vitali; Carol Di Perri; Anna Elisabetta Vaudano; Stefano Meletti; Flavio Villani
Journal:  Funct Neurol       Date:  2015 Jan-Mar

2.  EEG Microstates Predict Concurrent fMRI Dynamic Functional Connectivity States.

Authors:  Rodolfo Abreu; João Jorge; Alberto Leal; Thomas Koenig; Patrícia Figueiredo
Journal:  Brain Topogr       Date:  2020-11-07       Impact factor: 3.020

3.  Numerical and Experimental Analysis of Radiofrequency-Induced Heating Versus Lead Conductivity During EEG-MRI at 3 T.

Authors:  Seyed Reza Atefi; Peter Serano; Catherine Poulsen; Leonardo M Angelone; Giorgio Bonmassar
Journal:  IEEE Trans Electromagn Compat       Date:  2018-06-25       Impact factor: 2.006

Review 4.  Statistical power or more precise insights into neuro-temporal dynamics? Assessing the benefits of rapid temporal sampling in fMRI.

Authors:  Logan T Dowdle; Geoffrey Ghose; Clark C C Chen; Kamil Ugurbil; Essa Yacoub; Luca Vizioli
Journal:  Prog Neurobiol       Date:  2021-09-04       Impact factor: 11.685

Review 5.  Magnetic Resonance Imaging technology-bridging the gap between noninvasive human imaging and optical microscopy.

Authors:  Jonathan R Polimeni; Lawrence L Wald
Journal:  Curr Opin Neurobiol       Date:  2018-05-11       Impact factor: 6.627

6.  Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results.

Authors:  Frédéric Grouiller; João Jorge; Francesca Pittau; Wietske van der Zwaag; Giannina Rita Iannotti; Christoph Martin Michel; Serge Vulliémoz; Maria Isabel Vargas; François Lazeyras
Journal:  MAGMA       Date:  2016-03-05       Impact factor: 2.310

7.  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

8.  Multimodal EEG-fMRI: advancing insight into large-scale human brain dynamics.

Authors:  Catie Chang; Jingyuan E Chen
Journal:  Curr Opin Biomed Eng       Date:  2021-03-15

Review 9.  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

10.  Safety and data quality of EEG recorded simultaneously with multi-band fMRI.

Authors:  Maximillian K Egan; Ryan Larsen; Jonathan Wirsich; Brad P Sutton; Sepideh Sadaghiani
Journal:  PLoS One       Date:  2021-07-02       Impact factor: 3.240

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