Literature DB >> 24817636

[Simultaneous EEG-fMRI measurements: insights in applications and challenges].

B Reese1, U Habel, I Neuner.   

Abstract

BACKGROUND: The following article presents an introduction to simultaneous electroencephalography and functional magnetic resonance imaging (EEG-fMRI) measurements which have undergone a huge development during the last few years.
OBJECTIVES: The idea behind combining both non-invasive methods is to join the excellent temporal resolution of EEG (ms) together with the superior spatial resolution of fMRI (mm). In this article the status quo of the method and perspectives regarding multimodal imaging are discussed.
MATERIAL AND METHODS: Simultaneous EEG-fMRI measurements are affected by scanner and cardioballistic artifacts. We present common artifact subtraction methods in order to achieve a feasible data quality and outline what to consider when planning and recording EEG and fMRI simultaneously. Moreover, we discuss different analysis strategies.
RESULTS: Combined EEG-fMRI measurements have already increased our knowledge about the underlying relationships between the blood oxygenation level-dependent (BOLD) response and the EEG signal and are applied to answer widespread research questions. Simultaneous measurements are an essential part of multimodal imaging in investigating the underlying processing mechanisms of the brain as well as in advancing our understanding of neuropsychiatric diseases.
CONCLUSIONS: Current developments in multimodal imaging focus on the combination of electrophysiological and MRI parameters within ultra-high field MRI as well as on positron emission tomography (PET) in a trimodal approach.

Entities:  

Mesh:

Year:  2014        PMID: 24817636     DOI: 10.1007/s00115-014-4012-z

Source DB:  PubMed          Journal:  Nervenarzt        ISSN: 0028-2804            Impact factor:   1.214


  30 in total

Review 1.  Methodology: EEG-correlated fMRI.

Authors:  K Krakow; P J Allen; L Lemieux; M R Symms; D R Fish
Journal:  Adv Neurol       Date:  2000

2.  Parametric design and correlational analyses help integrating fMRI and electrophysiological data during face processing.

Authors:  Silvina G Horovitz; Bruno Rossion; Pawel Skudlarski; John C Gore
Journal:  Neuroimage       Date:  2004-08       Impact factor: 6.556

3.  Where and when the anterior cingulate cortex modulates attentional response: combined fMRI and ERP evidence.

Authors:  S Crottaz-Herbette; V Menon
Journal:  J Cogn Neurosci       Date:  2006-05       Impact factor: 3.225

Review 4.  Single-trial EEG-fMRI reveals the dynamics of cognitive function.

Authors:  Stefan Debener; Markus Ullsperger; Markus Siegel; Andreas K Engel
Journal:  Trends Cogn Sci       Date:  2006-10-30       Impact factor: 20.229

5.  Simultaneous ERP and fMRI of the auditory cortex in a passive oddball paradigm.

Authors:  Einat Liebenthal; Michael L Ellingson; Marianna V Spanaki; Thomas E Prieto; Kristina M Ropella; Jeffrey R Binder
Journal:  Neuroimage       Date:  2003-08       Impact factor: 6.556

Review 6.  Simultaneous EEG-fMRI acquisition at low, high and ultra-high magnetic fields up to 9.4 T: perspectives and challenges.

Authors:  Irene Neuner; Jorge Arrubla; Jörg Felder; N Jon Shah
Journal:  Neuroimage       Date:  2013-06-22       Impact factor: 6.556

7.  The quest for single trial correlations in multimodal EEG-fMRI data.

Authors:  Maarten De Vos; Rob Zink; Bobala Hunyadi; Bogdan Mijovic; Sabine Van Huffel; Stefan Debener
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2013

8.  Donepezil impairs memory in healthy older subjects: behavioural, EEG and simultaneous EEG/fMRI biomarkers.

Authors:  Joshua H Balsters; Redmond G O'Connell; Mary P Martin; Alessandra Galli; Sarah M Cassidy; Sophia M Kilcullen; Sonja Delmonte; Sabina Brennan; Jim F Meaney; Andrew J Fagan; Arun L W Bokde; Neil Upton; Robert Lai; Marc Laruelle; Brian Lawlor; Ian H Robertson
Journal:  PLoS One       Date:  2011-09-08       Impact factor: 3.240

9.  Novel artefact removal algorithms for co-registered EEG/fMRI based on selective averaging and subtraction.

Authors:  Jan C de Munck; Petra J van Houdt; Sónia I Gonçalves; Erwin van Wegen; Pauly P W Ossenblok
Journal:  Neuroimage       Date:  2012-09-17       Impact factor: 6.556

10.  Identifying the sources of the pulse artefact in EEG recordings made inside an MR scanner.

Authors:  Karen J Mullinger; Jade Havenhand; Richard Bowtell
Journal:  Neuroimage       Date:  2013-01-08       Impact factor: 6.556

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