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Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

Simultaneous intracranial EEG-fMRI in humans: protocol considerations and data quality.

D W Carmichael¹, S Vulliemoz, R Rodionov

¹Imaging and Biophysics Unit, UCL Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK. d.carmichael@ucl.ac.uk

|June 2, 2012

Summary

Simultaneous intracranial EEG and fMRI (icEEG-fMRI) in epilepsy patients showed minimal electrode heating (≤0.1 °C) and preserved EEG quality. fMRI signal loss around electrodes was limited to a 10mm radius, suggesting susceptibility artifacts guide optimization.

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Area of Science:

Neuroscience
Medical Imaging
Biomedical Engineering

Background:

Simultaneous intracranial EEG and fMRI (icEEG-fMRI) is a powerful tool for epilepsy research.
Potential challenges include electrode heating and MRI-induced artifacts affecting signal quality.

Purpose of the Study:

To assess thermometric data for electrode heating during icEEG-fMRI.
To quantify EEG and fMRI signal quality around electrodes during MRI scanning.
To characterize MRI artifacts and guide interpretation and optimization strategies.

Main Methods:

Performed simultaneous icEEG-fMRI in epilepsy patients.
Measured in-vitro electrode heating and quantified EEG quality.
Acquired GE-EPI fMRI images at 1.5 T to assess signal intensity reduction around electrodes.

Main Results:

In-vitro electrode heating was minimal (≤0.1 °C), significantly below safety limits.
EEG quality was largely preserved, with minor heartbeat artifacts.
fMRI signal reduction was confined to a 10mm radius around electrodes, averaging <50% at 5mm.
Artifacts were predominantly susceptibility-related, influenced by electrode orientation.

Conclusions:

icEEG-fMRI is technically feasible with minimal safety concerns regarding electrode heating.
MRI-induced artifacts are localized and predictable, primarily due to magnetic susceptibility.
Findings aid in interpreting icEEG-fMRI data and developing artifact reduction techniques.