Literature DB >> 25482268

MRI with and without a high-density EEG cap--what makes the difference?

Carina Klein1, Jürgen Hänggi2, Roger Luechinger3, Lutz Jäncke4.   

Abstract

Besides the benefit of combining electroencephalography (EEG) and magnetic resonance imaging (MRI), much effort has been spent to develop algorithms aimed at successfully cleaning the EEG data from MRI-related gradient and ballistocardiological artifacts. However, there are also studies showing a negative influence of the EEG on MRI data quality. Therefore, in the present study, we focused for the first time on the influence of the EEG on morphometric measurements of T1-weighted MRI data (voxel- and surfaced-based morphometry). Here, we demonstrate a strong influence of the EEG on cortical thickness, surface area, and volume as well as subcortical volumes due to local EEG-related inhomogeneities of the static magnetic (B0) and the gradient field (B1). In a second step, we analyzed the signal-to-noise ratios for both the anatomical and the functional data when recorded simultaneously with EEG and MRI and compared them to the ratios of the MRI data without simultaneous EEG measurements. These analyses revealed consistently lower signal-to-noise ratios for anatomical as well as functional MRI data during simultaneous EEG registration. In contrast, further analyses of T2*-weighted images provided reliable results independent of whether including the individuals' T1-weighted image with or without the EEG cap in the fMRI preprocessing stream. Based on our findings, we strongly recommend against using the structural images obtained during simultaneous EEG-MRI recordings for further anatomical data analysis.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  Chemical shift; Distorted B(0) and B(1) map; Eddy currents; Electroencephalography; Functional and structural magnetic resonance imaging; MRI artifacts; Magnetic susceptibility; SNR; Simultaneous EEG-fMRI

Mesh:

Year:  2014        PMID: 25482268     DOI: 10.1016/j.neuroimage.2014.11.053

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


  10 in total

1.  Age prediction on the basis of brain anatomical measures.

Authors:  S A Valizadeh; J Hänggi; S Mérillat; L Jäncke
Journal:  Hum Brain Mapp       Date:  2016-11-03       Impact factor: 5.038

2.  Comparison of local spectral modulation, and temporal correlation, of simultaneously recorded EEG/fMRI signals during ketamine and midazolam sedation.

Authors:  Anna Forsyth; Rebecca McMillan; Doug Campbell; Gemma Malpas; Elizabeth Maxwell; Jamie Sleigh; Juergen Dukart; Joerg F Hipp; Suresh D Muthukumaraswamy
Journal:  Psychopharmacology (Berl)       Date:  2018-11-14       Impact factor: 4.530

3.  Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality.

Authors:  Catherine Poulsen; Daniel G Wakeman; Seyed Reza Atefi; Phan Luu; Amy Konyn; Giorgio Bonmassar
Journal:  Magn Reson Med       Date:  2016-02-15       Impact factor: 4.668

4.  Effects of Ketamine and Midazolam on Simultaneous EEG/fMRI Data During Working Memory Processes.

Authors:  Anna E M Forsyth; Rebecca McMillan; Juergen Dukart; Jörg F Hipp; Suresh D Muthukumaraswamy
Journal:  Brain Topogr       Date:  2021-10-13       Impact factor: 3.020

5.  Sleep reverts changes in human gray and white matter caused by wake-dependent training.

Authors:  Giulio Bernardi; Luca Cecchetti; Francesca Siclari; Andreas Buchmann; Xiaoqian Yu; Giacomo Handjaras; Michele Bellesi; Emiliano Ricciardi; Steven R Kecskemeti; Brady A Riedner; Andrew L Alexander; Ruth M Benca; M Felice Ghilardi; Pietro Pietrini; Chiara Cirelli; Giulio Tononi
Journal:  Neuroimage       Date:  2016-01-23       Impact factor: 6.556

Review 6.  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

7.  Safety and EEG data quality of concurrent high-density EEG and high-speed fMRI at 3 Tesla.

Authors:  Mette Thrane Foged; Ulrich Lindberg; Kishore Vakamudi; Henrik B W Larsson; Lars H Pinborg; Troels W Kjær; Martin Fabricius; Claus Svarer; Brice Ozenne; Carsten Thomsen; Sándor Beniczky; Olaf B Paulson; Stefan Posse
Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

Review 8.  Combining magnetic resonance imaging with readout and/or perturbation of neural activity in animal models: Advantages and pitfalls.

Authors:  Lauren Kosten; Serena Alexa Emmi; Stephan Missault; Georgios A Keliris
Journal:  Front Neurosci       Date:  2022-07-15       Impact factor: 5.152

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.  Quantitative Analyses Help in Choosing Between Simultaneous vs. Separate EEG and fMRI.

Authors:  Maarten Schrooten; Rik Vandenberghe; Ronald Peeters; Patrick Dupont
Journal:  Front Neurosci       Date:  2019-01-10       Impact factor: 4.677

  10 in total

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