Combined MEG/EEG analysis of the interictal spike complex in mesial temporal lobe epilepsy

Pataraia, Ekaterina; Lindinger, G.; Deecke, L.; Mayer, Dagmar; Baumgartner, Christoph

doi:10.1016/j.neuroimage.2004.09.031

Cited by 72 publications

(39 citation statements)

References 41 publications

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“…In patients with ATV dipoles, interictal and ictal EEG changes recorded during prolonged video-EEG monitoring were localized consistently to the ipsilateral temporal lobe. By contrast, up to 50% of patients with ATH dipoles showed bitemporal spikes or seizure onsets [11 ]. Surgical outcome after selective amygdala-hippocampectomy was slightly better in patients with ATV dipoles than in those with ATH dipoles, which could serve as an argument to perform larger resections in the latter patient group, while a selective amydala-hippocampectomy should be sufficient in the former.…”

Section: Temporal Lobe Epilepsiesmentioning

confidence: 87%

“…In mesial TLE, two patient subgroups could be identified, one with anterior temporal vertical (ATV) dipoles and a second with anterior temporal horizontal (ATH) dipoles [10,11 ]. While ATV dipoles indicate epileptic activity in the medial basal temporal, ATH dipoles are compatible with epileptic activity in the temporal pole and adjacent parts of the lateral temporal lobe.…”

Section: Temporal Lobe Epilepsiesmentioning

confidence: 99%

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Revisiting the role of magnetoencephalography in epilepsy

Baumgartner

Pataraia

2006

Current Opinion in Neurology

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Section: Temporal Lobe Epilepsiesmentioning

confidence: 87%

Section: Temporal Lobe Epilepsiesmentioning

confidence: 99%

Revisiting the role of magnetoencephalography in epilepsy

Baumgartner

Pataraia

2006

Current Opinion in Neurology

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“…Interictal electromagnetic source imaging in focal epilepsy Leijten and Huiskamp 441 [14] Panel, resection area 100 94 Ninety-seven per cent concordance at sublobar level Beniczky et al [11] SPECT 90 78 Ictal MUSIC performed better Gavaret et al [17 ] sEEG 100 90 Sperli et al [21] Resection area 100 90 Leijten et al [34] ECoG 42 NS MTLE only, insufficient cover MEG Bast et al [23] Overlap with focal cortical dysplasia 75 100 Pataraia et al [37] Postoperative seizure outcome 47 NS MTLE only, nonsignificant findings Jansen et al [25 ] Distance to nearest tuber 100 NS MEG results closer to tuber Ossenblok et al [29] Distance to lesion; ECoG 75 NS MEG seems to localize better Stefan et al [31] Lobe of surgical resection 70 89 Ten per cent change in clinical decision making Assaf et al [22] ECoG, resection area, postoperative seizure outcome …”

Section: A False Conductivity Value Introduces a Localizationmentioning

confidence: 99%

Interictal electromagnetic source imaging in focal epilepsy: practices, results and recommendations

Leijten

Huiskamp²

2008

Current Opinion in Neurology

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“…Here we investigated epileptic networks in a patient with musicogenic seizures triggered by rap music using DCM in a multimodal approach consisting of hd-EEG/fMRI and simultaneous hd-EEG and MEG. While each of these methods alone has been shown to be able to localize epileptic activity (Brodbeck et al, 2011;Pataraia et al, 2005;Vulliemoz et al, 2009), we made use of their complementary nature to improve analyses with regards to localization accuracy and effective connectivity and assess if the modalities will give concordant results. fMRI is able to show hemodynamic changes in the whole brain time-locked to epileptic activity and is characterized by its very high spatial resolution, especially for sources deep in the brain.…”

Section: Discussionmentioning

confidence: 99%

Multimodal effective connectivity analysis reveals seizure focus and propagation in musicogenic epilepsy

et al. 2015

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Dynamic causal modeling (DCM) is a method to non-invasively assess effective connectivity between brain regions. 'Musicogenic epilepsy' is a rare reflex epilepsy syndrome in which seizures can be elicited by musical stimuli and thus represents a unique possibility to investigate complex human brain networks and test connectivity analysis tools. We investigated effective connectivity in a case of musicogenic epilepsy using DCM for fMRI, high-density (hd-) EEG and MEG and validated results with intracranial EEG recordings. A patient with musicogenic seizures was examined using hd-EEG/fMRI and simultaneous '256-channel hd-EEG'/ 'whole head MEG' to characterize the epileptogenic focus and propagation effects using source analysis techniques and DCM. Results were validated with invasive EEG recordings. We recorded one seizure with hd-EEG/fMRI and four auras with hd-EEG/MEG. During the seizures, increases of activity could be observed in the right mesial temporal region as well as bilateral mesial frontal regions. Effective connectivity analysis of fMRI and hd-EEG/MEG indicated that right mesial temporal neuronal activity drives changes in the frontal areas consistently in all three modalities, which was confirmed by the results of invasive EEG recordings. Seizures thus seem to originate in the right mesial temporal lobe and propagate to mesial frontal regions. Using DCM for fMRI, hd-EEG and MEG we were able to correctly localize focus and propagation of epileptic activity and thereby characterize the underlying epileptic network in a patient with musicogenic epilepsy. The concordance between all three functional modalities validated by invasive monitoring is noteworthy, both for epileptic activity spread as well as for effective connectivity analysis in general.© 2015 Elsevier Inc. All rights reserved. IntroductionMany physiological and pathological processes of the human brain are driven by networks and connectivity between brain regions. Thus, analysis of these connections is of particular importance in neurosciences and several methods have been proposed to study connectivity in-vivo by means of functional imaging. One of these is dynamic causal modeling (DCM), a method to assess the effective connectivity between brain regions, i.e. the causal influence that one neuronal system exerts over others. It was first developed for fMRI with the aim to estimate the parameters of a neuronal system model from which a blood oxygenation level dependent (BOLD) signal can be predicted that corresponds as closely as possible to the measured BOLD time series (Friston et al., 2003). Later, DCM was extended to the analysis of effective connectivity in EEG and MEG data taking into account the very high temporal resolution of these techniques and thereby combining a spatial forward model with a biologically informed temporal forward model (Kiebel et al., 2008). DCM can be used to test which brain region drives which by constructing different models of interacting regions or nodes and identifying the best one by model comparison. Thi...

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Combined MEG/EEG analysis of the interictal spike complex in mesial temporal lobe epilepsy

Cited by 72 publications

References 41 publications

Revisiting the role of magnetoencephalography in epilepsy

Revisiting the role of magnetoencephalography in epilepsy

Interictal electromagnetic source imaging in focal epilepsy: practices, results and recommendations

Multimodal effective connectivity analysis reveals seizure focus and propagation in musicogenic epilepsy

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