Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy

Vulliémoz, Serge; Rodionov, Roman; Carmichael, David W.; Thornton, Rachel; Guye, Maxime; Lhatoo, Samden D.; Michel, Christoph M.; Duncan, John S.; Lemieux, Louis

doi:10.1016/j.neuroimage.2009.11.055

Cited by 56 publications

(44 citation statements)

References 40 publications

(35 reference statements)

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“…Extended ictal and interictal activity patterns supported the notion that EEG-associated BOLD signal changes often reflected the propagation of epileptic activity (De Tiege et al, 2007a;LeVan et al, 2010;Salek-Haddadi et al, 2002;Tyvaert et al, 2009;Vulliemoz et al, 2010b;Vulliemoz et al, 2009). This assumption is methodologically plausible given the 'contemporary' common temporal resolution of BOLD-fMRI at the order of a few seconds.…”

Section: Eeg-fmri Applications In Epilepsymentioning

confidence: 56%

“…Comparable efforts were undertaken at the EEG level, also paying special attention to artifacts (Huiskamp, 2005;Siniatchkin et al, 2007a), or the accurate detection and classification of IED Flanagan et al, 2009;Jann et al, 2008;Liston et al, 2006a;Marques et al, 2009;SalekHaddadi et al, 2006;Vulliemoz et al, 2010b;Zijlmans et al, 2007), vigilance effects and ongoing spontaneous 'background' EEG (Moehring et al, 2008;Siniatchkin et al, 2007b;Tyvaert et al, 2008b). Finally, analysis methods found entry into EEG-fMRI which had already been established in 'classical' neuroimaging studies including data driven methods such as independent component analysis Moeller et al, 2011;Rodionov et al, 2007;Siniatchkin et al, 2007b) and others with and without using EEG information for the detection of epileptiform activity with fMRI (Donaire et al, 2009;Hamandi et al, 2005;Morgan et al, 2007;Morgan et al, 2004).…”

Section: Eeg-fmri Applications In Epilepsymentioning

confidence: 99%

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A personalized history of EEG–fMRI integration

Laufs

2012

NeuroImage

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Section: Eeg-fmri Applications In Epilepsymentioning

confidence: 56%

Section: Eeg-fmri Applications In Epilepsymentioning

confidence: 99%

A personalized history of EEG–fMRI integration

Laufs

2012

NeuroImage

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“…The SMAC head model method has been successfully used in several previous clinical and experimental studies (e.g. Michel et al , 2004; Phillips et al , 2005; Brodbeck et al , 2009, 2010; Groening et al , 2009; Vulliemoz et al , 2009, 2010; Siniatchkin et al , 2010) and produces localization precisions that are comparable with realistic boundary element models (Guggisberg et al , 2011). …”

Section: Methodsmentioning

confidence: 99%

Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients

Brodbeck

Spinelli

Lascano

et al. 2011

Brain

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356

358

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Electroencephalography is mandatory to determine the epilepsy syndrome. However, for the precise localization of the irritative zone in patients with focal epilepsy, costly and sometimes cumbersome imaging techniques are used. Recent small studies using electric source imaging suggest that electroencephalography itself could be used to localize the focus. However, a large prospective validation study is missing. This study presents a cohort of 152 operated patients where electric source imaging was applied as part of the pre-surgical work-up allowing a comparison with the results from other methods. Patients (n = 152) with >1 year postoperative follow-up were studied prospectively. The sensitivity and specificity of each imaging method was defined by comparing the localization of the source maximum with the resected zone and surgical outcome. Electric source imaging had a sensitivity of 84% and a specificity of 88% if the electroencephalogram was recorded with a large number of electrodes (128–256 channels) and the individual magnetic resonance image was used as head model. These values compared favourably with those of structural magnetic resonance imaging (76% sensitivity, 53% specificity), positron emission tomography (69% sensitivity, 44% specificity) and ictal/interictal single-photon emission-computed tomography (58% sensitivity, 47% specificity). The sensitivity and specificity of electric source imaging decreased to 57% and 59%, respectively, with low number of electrodes (<32 channels) and a template head model. This study demonstrated the validity and clinical utility of electric source imaging in a large prospective study. Given the low cost and high flexibility of electroencephalographic systems even with high channel counts, we conclude that electric source imaging is a highly valuable tool in pre-surgical epilepsy evaluation.

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“…If epileptiform discharges are treated as reproducible events, then EEG data from outside the MRI scanner may be used for source reconstruction and has been found to explain a greater proportion of discharge related variation in fMRI BOLD signal than simultaneous EEG data from inside the MRI scanner, possibly because of reduced contamination by fMRI-related artifact. (85) Magnetic field strength is thus another important consideration, as fMRI-related artifacts in the EEG recording are greater at higher fields. (57) EEG source reconstruction from simultaneous EEG/fMRI data has been performed at up to 7 Tesla with concordance on the order of 10 mm for a phantom and as low as 24 mm for healthy human subjects undergoing median nerve stimulation.…”

Section: Key Questionsmentioning

confidence: 99%

EEG/fMRI contributions to our understanding of genetic generalized epilepsies

Kay¹,

Szaflarski²

2014

Epilepsy & Behavior

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The first reports of combined EEG and fMRI used for evaluation of epileptic spikes date back to the mid-90’s. At that time the technique was called EEG-triggered fMRI – the “triggered” corresponded to an epilepsy specialist reviewing live EEG while the patient was located in the scanner; after the spike was identified, scan was initiated to collect the data. Since then major progress has been made in combined EEG/fMRI data collection and analyses. These advances allow studying the electrophysiology of genetic generalized epilepsies (GGEs) in vivo in greater detail than ever. In addition to continuous data collection, we now have better methods for removing physiologic and fMRI-related artifacts, more advanced understanding of the hemodynamic response functions, and better computational methods to address the questions regarding the origins of the epileptiform discharge generators in patients with GGEs. These advances have allowed us to examine numerous cohorts of children and adults with GGEs while not only looking for spike and wave generators but also examining specific types of GGEs (e.g., juvenile myoclonic epilepsy or childhood absence epilepsy), drug-naïve patients, effects of medication resistance, or effects of epileptiform abnormalities and/or seizures on brain connectivity. While the discussion is ongoing, the prevailing thought is that the GGEs as a group are a network disorder with participation from multiple nodes including thalami and cortex with the clinical presentation depending on which node of the participating network is affected by the disease process. This review discusses the contributions of EEG/fMRI to our understanding of GGEs.

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Continuous EEG source imaging enhances analysis of EEG-fMRI in focal epilepsy

Cited by 56 publications

References 40 publications

A personalized history of EEG–fMRI integration

A personalized history of EEG–fMRI integration

Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients

EEG/fMRI contributions to our understanding of genetic generalized epilepsies

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