Literature DB >> 22902923

Feasibility of an intracranial EEG-fMRI protocol at 3T: risk assessment and image quality.

Shannon M Boucousis1, Craig A Beers, Cameron J B Cunningham, Ismael Gaxiola-Valdez, Daniel J Pittman, Bradley G Goodyear, Paolo Federico.   

Abstract

Integrating intracranial EEG (iEEG) with functional MRI (iEEG-fMRI) may help elucidate mechanisms underlying the generation of seizures. However, the introduction of iEEG electrodes in the MR environment has inherent risk and data quality implications that require consideration prior to clinical use. Previous studies of subdural and depth electrodes have confirmed low risk under specific circumstances at 1.5T and 3T. However, no studies have assessed risk and image quality related to the feasibility of a full iEEG-fMRI protocol. To this end, commercially available platinum subdural grid/strip electrodes (4×5 grid or 1×8 strip) and 4 or 6-contact depth electrodes were secured to the surface of a custom-made phantom mimicking the conductivity of the human brain. Electrode displacement, temperature increase of electrodes and surrounding phantom material, and voltage fluctuations in electrode contacts were measured in a GE Discovery MR750 3T MR scanner during a variety of imaging sequences, typical of an iEEG-fMRI protocol. An electrode grid was also used to quantify the spatial extent of susceptibility artifact. The spatial extent of susceptibility artifact in the presence of an electrode was also assessed for typical imaging parameters that maximize BOLD sensitivity at 3T (TR=1500 ms; TE=30 ms; slice thickness=4mm; matrix=64×64; field-of-view=24 cm). Under standard conditions, all electrodes exhibited no measurable displacement and no clinically significant temperature increase (<1°C) during scans employed in a typical iEEG-fMRI experiment, including 60 min of continuous fMRI. However, high SAR sequences, such as fast spin-echo (FSE), produced significant heating in almost all scenarios (>2.0°C) that in some cases exceeded 10°C. Induced voltages in the frequency range that could elicit neuronal stimulation (<10 kHz) were well below the threshold of 100 mV. fMRI signal intensity was significantly reduced within 20mm of the electrodes for the imaging parameters used in this study. Thus, for the conditions tested, a full iEEG-fMRI protocol poses a low risk at 3T; however, fMRI sensitivity may be reduced immediately adjacent to the electrodes. In addition, high SAR sequences must be avoided.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22902923     DOI: 10.1016/j.neuroimage.2012.08.008

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


  14 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.  It's the little things: On the complexity of planar electrode heating in MRI.

Authors:  Johannes B Erhardt; Thomas Lottner; Jessica Martinez; Ali C Özen; Martin Schuettler; Thomas Stieglitz; Daniel B Ennis; Michael Bock
Journal:  Neuroimage       Date:  2019-03-29       Impact factor: 6.556

3.  The spike onset zone: The region where epileptic spikes start and from where they propagate.

Authors:  Hui Ming Khoo; Nicolás von Ellenrieder; Natalja Zazubovits; Daniel He; François Dubeau; Jean Gotman
Journal:  Neurology       Date:  2018-07-13       Impact factor: 9.910

4.  Connectomics and epilepsy.

Authors:  Jerome Engel; Paul M Thompson; John M Stern; Richard J Staba; Anatol Bragin; Istvan Mody
Journal:  Curr Opin Neurol       Date:  2013-04       Impact factor: 5.710

5.  Patient specific hemodynamic response functions associated with interictal discharges recorded via simultaneous intracranial EEG-fMRI.

Authors:  Craig A Beers; Rebecca J Williams; Ismael Gaxiola-Valdez; Daniel J Pittman; Anita T Kang; Yahya Aghakhani; G Bruce Pike; Bradley G Goodyear; Paolo Federico
Journal:  Hum Brain Mapp       Date:  2015-09-29       Impact factor: 5.038

Review 6.  The role of functional neuroimaging in pre-surgical epilepsy evaluation.

Authors:  Francesca Pittau; Frédéric Grouiller; Laurent Spinelli; Margitta Seeck; Christoph M Michel; Serge Vulliemoz
Journal:  Front Neurol       Date:  2014-03-24       Impact factor: 4.003

Review 7.  Electrophysiological correlates of the BOLD signal for EEG-informed fMRI.

Authors:  Teresa Murta; Marco Leite; David W Carmichael; Patrícia Figueiredo; Louis Lemieux
Journal:  Hum Brain Mapp       Date:  2014-10-03       Impact factor: 5.038

8.  Co-localization between the BOLD response and epileptiform discharges recorded by simultaneous intracranial EEG-fMRI at 3 T.

Authors:  Yahya Aghakhani; Craig A Beers; Daniel J Pittman; Ismael Gaxiola-Valdez; Bradley G Goodyear; Paolo Federico
Journal:  Neuroimage Clin       Date:  2015-03-07       Impact factor: 4.881

9.  A novel scheme for the validation of an automated classification method for epileptic spikes by comparison with multiple observers.

Authors:  Niraj K Sharma; Carlos Pedreira; Maria Centeno; Umair J Chaudhary; Tim Wehner; Lucas G S França; Tinonkorn Yadee; Teresa Murta; Marco Leite; Sjoerd B Vos; Sebastien Ourselin; Beate Diehl; Louis Lemieux
Journal:  Clin Neurophysiol       Date:  2017-05-04       Impact factor: 3.708

10.  A study of the electro-haemodynamic coupling using simultaneously acquired intracranial EEG and fMRI data in humans.

Authors:  T Murta; L Hu; T M Tierney; U J Chaudhary; M C Walker; D W Carmichael; P Figueiredo; L Lemieux
Journal:  Neuroimage       Date:  2016-08-03       Impact factor: 6.556

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