Friederike Moeller

Changes in activity of striato-thalamo-cortical network precede generalized spike wave discharges.

The pathophysiology of generalized spike wave discharges (GSW) is not completely understood. Thalamus, basal ganglia and neocortex have been implicated in the generation of GSW, yet the specific role of each structure remains to be clarified. In six children with idiopathic generalized epilepsy (IGE), we performed combined EEG-fMRI to identify GSW-related changes in blood oxygen level-dependent (BOLD) signal in the striato-thalamo-cortical network. In all patients, within-subject analysis demonstrated BOLD signal changes that preceded the GSW. An increase in BOLD signal in the medial thalamus started 6 s before the onset of the GSW. Decreases in cortical BOLD signal were mainly found in frontoparietal areas and precuneus starting 6 to 3 s before the GSW. All patients showed a decrease in BOLD signal in the head of the caudate nucleus with a variable onset. The temporospatial pattern of BOLD signal changes suggests that GSW on the cortical surface is preceded by a sequence of neuronal events in the thalamo-cortical-striatal network. Approximately 6 s before the GSW, the thalamus shows an increase in neuronal activity along with regional decreases in cortical activity. These changes in thalamo-cortical activity are followed by a deactivation of the caudate nucleus. These early changes in BOLD signal may reflect changes in neuronal activity that contribute to the generation of GSW and may contribute to the transition from a normal to a generalized hypersynchronous pattern of neuronal activity. Our preliminary findings warrant further studies on a larger number of patients to explore the influence of age, medication and type of epileptic syndrome.

Simultaneous EEG-fMRI in drug-naive children with newly diagnosed absence epilepsy.

Purpose: In patients with idiopathic generalized epilepsy (IGE), blood oxygen level dependent (BOLD) EEG during functional MRI (EEG‐fMRI) has been successfully used to link changes in regional neuronal activity to the occurrence of generalized spike‐and‐wave (GSW) discharges. Most EEG‐fMRI studies have been performed on adult patients with long‐standing epilepsy who were on antiepileptic medication. Here, we applied EEG‐fMRI to investigate BOLD signal changes during absence seizures in children with newly diagnosed childhood absence epilepsy (CAE).

Patterns of altered functional connectivity in mesial temporal lobe epilepsy

Purpose:  In mesial temporal lobe epilepsy (MTLE) the epileptogenic area is confined to the mesial temporal lobe, but other cortical and subcortical areas are also affected and cognitive and psychiatric impairments are usually documented. Functional connectivity methods are based on the correlation of the blood oxygen level dependent (BOLD) signal between brain regions, which exhibit consistent and reproducible functional networks from resting state data. The aim of this study is to compare functional connectivity of patients with MTLE during the interictal period with healthy subjects. We hypothesize that patients show reduced functional connectivity compared to controls, the interest being to determine which regions show this reduction.

Absence seizures: Individual patterns revealed by EEG‐fMRI

Purpose:  Absences are characterized by an abrupt onset and end of generalized 3–4 Hz spike and wave discharges (GSWs), accompanied by unresponsiveness. Although previous electroencephalography–functional magnetic resonance imaging (EEG–fMRI) studies showed that thalamus, default mode areas, and caudate nuclei are involved in absence seizures, the contribution of these regions throughout the ictal evolution of absences remains unclear. Furthermore, animal models provide evidence that absences are initiated by a cortical focus with a secondary involvement of the thalamus. The aim of this study was to investigate dynamic changes during absences.

Neuronal networks in children with continuous spikes and waves during slow sleep

Sir, We read with great interest the paper by Siniatchkin et al. (2010), in which they report the results of electroencephalogram (EEG) combined with functional MRI studies performed in children with epileptic encephalopathies with continuous spike-waves during sleep (CSWS). This paper undoubtedly brings novel and valuable data on the pathophysiology of epileptic encephalopathies with CSWS, pointing out the implication of subcortical structures such as the striatum and the thalamus in these disorders. This study actually supports the hypothesis that the neurological regression in CSWS is not only related to the neurophysiological impairment at the site of the epileptic focus but also to epilepsy-induced changes in distant and connected brain areas with a particular involvement of the default mode network (De Tiège et al., 2009). Nevertheless, we would like to address some limitations regarding the methodology used in this work. The EEG-functional MRI methodology enhances the statistical model used for functional MRI data analysis thanks to various EEG features such as timing, duration, amplitude, morphology and topography of the epileptic activity. In preliminary analyses, Siniatchkin et al. (2010) found a poor correlation between functional MRI results and electrical source imaging results obtained after averaging all the spike-wave discharges. The authors attributed this poor correspondence to discordance between the brain areas generating the first and the subsequent spike-wave discharges in a sequence. Based on this assumption and preliminary electrical source imaging analysis, the authors used the averaged first spike of every spike-wave discharge sequence to characterize the chronology of neuronal recruitment within the identified functional MRI neuronal network. This approach raises an important pathophysiological issue that the authors did not explore—would a functional MRI statistical model integrating separately initial and subsequent spikes of spike-wave discharge sequences evidence different neuronal networks? Further, to support their assumption, the authors should have directly compared electrical source imaging based on averages of initial versus subsequent spikes of spike-wave discharge sequences. If present, differences in shape and topography between those spike-wave discharges would have supported the assumption made, and these differences should have been accessible from the semi-automatic method used for spike-wave discharge classification. These additional pieces of information are essential; they would not only justify the methodological approach but also improve our understanding of the disorder. In fact, experimental confirmation is required for the assumed difference between generators of first and subsequent spikes in spike-wave discharge sequences because the theoretical justification derived from observations made on seizure activity (Ebersole, 2000) might not be extended to CSWS in which bursts and sequences have no recognized significance in pathophysiological and electrophysiological terms. In our opinion, the unmatched functional MRI and electrical source imaging results obtained on spike-wave discharge averaged on whole spike-wave discharge sequences might actually reflect the existence of multiple independent spike-wave discharge generators or propagation pathways as frequently found in CSWS (Fig. 1). Under this alternative hypothesis, which precludes the averaging approach adopted by the authors, single spike-wave discharge source reconstruction would have been required. This latter methodology is actually preferred for magnetic source imaging investigations to characterize the neuronal networks involved in CSWS activity at the individual level (Paetau, 2009; De Tiège et al., 2010). doi:10.1093/brain/awq389 Brain 2011: 134; 1–3 | e177

Hemodynamic changes preceding the interictal EEG spike in patients with focal epilepsy investigated using simultaneous EEG-fMRI

EEG-fMRI is a non-invasive technique that allows the investigation of epileptogenic networks in patients with epilepsy. Lately, BOLD changes occurring before the spike were found in patients with generalized epilepsy. The study of metabolic changes preceding spikes might improve our knowledge of spike generation. We tested this hypothesis in patients with idiopathic and symptomatic focal epilepsy. Eleven consecutive patients were recorded at 3 T: five with idiopathic focal and 6 with symptomatic focal epilepsy. Thirteen spike types were analyzed separately. Statistical analysis was performed using the timing of spikes as events, modeled with HRFs peaking between -9 s and +9 s around the spike. HRFs were calculated the most focal BOLD response. Eleven of the thirteen studies showed prespike BOLD responses. Prespike responses were more focal than postspike responses. Three studies showed early positive followed by later negative BOLD responses in the spike field. Three had early positive BOLD responses in the spike field, which remained visible in the later maps. Three others had positive BOLD responses in the spike field, later propagating to surrounding areas. HRFs peaked between -5 and +6 s around the spike timing. No significant EEG changes could be identified prior to the spike. BOLD changes prior to the spike frequently occur in focal epilepsies. They are more focal than later BOLD changes and strongly related to the spike field. Early changes may result from increased neuronal activity in the spike field prior to the EEG spike and reflect an event more localized than the spike itself.

EEG-fMRI Adding to standard evaluations of patients with nonlesional frontal lobe epilepsy

Objective: In patients with nonlesional frontal lobe epilepsy (FLE), the delineation of the epileptogenic zone is difficult. Therefore these patients are often not considered for surgery due to an unclear seizure focus. The aim of this study was to investigate whether EEG-fMRI can add useful information in the preoperative evaluation of these patients. Methods: Nine nonlesional FLE patients were studied with EEG-fMRI using a 3 T scanner. Spike-related blood oxygen level dependent (BOLD) signal changes were compared to the topography of the spikes and to PET and SPECT results if available. The structural MRIs were reviewed for subtle abnormalities in areas that showed BOLD responses. For operated patients, postoperative resection and histology were compared to BOLD responses. Results: Concordance between spike localization and positive BOLD response was found in 8 patients. PET and SPECT investigations corresponded with BOLD signal changes in 6 of 7 investigations. In 2 cases, reviewing the structural MRI guided by EEG-fMRI data resulted in considering a suspicious deep sulcus. Two patients were operated. In 1, the resected cortex corresponded with the suspicious sulcus and fMRI results and histology showed cortical dysplasia. In another, histology revealed an extended microdysgenesis not visible on structural MRI. EEG-fMRI had shown activation just adjacent to the resected pathologic area. Conclusions: Our study provides different types of support (topography, concordance with PET and SPECT, structural peculiarities, postoperative histology) that EEG-fMRI may help to delineate the epileptic focus in patients with nonlesional frontal lobe epilepsy, a challenging group in the preoperative evaluation.

Functional connectivity in patients with idiopathic generalized epilepsy

Purpose:  Idiopathic generalized epilepsy (IGE) is characterized by electroencephalography (EEG) recordings with generalized spike wave discharges (GSWDs) arising from normal background activity. Although GSWDs are the result of highly synchronized activity in the thalamocortical network, EEG without GSWDs is believed to represent normal brain activity. The aim of this study was to investigate whether thalamocortical interactions are altered even during GSWD‐free EEG periods in patients with IGE.

fMRI activation during spike and wave discharges evoked by photic stimulation.

Photoparoxysmal response (PPR) is an electroencephalographic (EEG) trait characterized by the occurrence of epileptiform discharges in response to visual stimulation. Studying this trait helps to learn about mechanisms of epileptogenicity. While simultaneous recordings of EEG and functional MRI (EEG-fMRI) in patients with spontaneous generalised spike-wave discharges (GSW) have revealed activation of the thalamus and deactivation in frontoparietal areas, EEG-fMRI studies on evoked GSW such as PPR are lacking. In this EEG-fMRI study, 30 subjects with reported generalised PPR underwent intermittent photic stimulation (IPS) in a 3 T MR scanner. PPR was elicited in 6 subjects, four diagnosed with idiopathic generalised epilepsy and two with tension-type headache. Because PPR is preceded by synchronization of cortical gamma oscillations, blood oxygenation level-dependent (BOLD) signal changes were analysed at the onset of the PPR (standard regressor) and 3 s before the onset of PPR (early regressor) in one model. In all subjects, IPS led to a significant activation of the visual cortex. Based on the early regressor, PPR associated activation was found in the parietal cortex adjacent to the intraparietal sulcus in five and in the premotor cortex in all 6 subjects. The standard regressor revealed deactivation in early activated areas in all subjects and thalamic activation in one subject. In contrast to spontaneous GSW, these results suggest that PPR is a cortical phenomenon with an involvement of the parietal and frontal cortices. Pronounced haemodynamic changes seen with the early regressor could mirror gamma activity that is known to precede PPR.

Combination of EEG-fMRI and EEG source analysis improves interpretation of spike-associated activation networks in paediatric pharmacoresistant focal epilepsies.

Simultaneous recording of EEG and functional MRI (EEG-fMRI) is a promising tool that may be applied in patients with epilepsy to investigate haemodynamic changes associated with interictal epileptiform discharges (IED). As the yield of the EEG-fMRI technique in children with epilepsy is still unclear, the aim of this study was to evaluate whether the combination of EEG-fMRI and EEG source analysis could improve localization of epileptogenic foci in children. Six children with an unambiguous focus localization were selected based on the criterion of the consistency of ictal EEG, PET and ictal SPECT. IEDs were taken as time series for fMRI analysis and as averaged sweeps for the EEG source analysis based on the distributed linear local autoregressive average (LAURA) solution. In four patients, the brain area with haemodymanic changes corresponded to the epileptogenic zone. However, additional distant regions with haemodynamic response were observed. Source analysis located the source of the initial epileptic activity in all cases in the presumed epileptogenic zone and revealed propagation in five cases. In three cases there was a good correspondence between haemodynamic changes and source localization at both the beginning and the propagation of IED. In the remaining three cases, at least one area of haemodynamic changes corresponded to either the beginning or the propagation. In most children analysed, EEG-fMRI revealed extended haemodynamic response, which were difficult to interpret without an appropriate reference, i.e. a priori hypothesis about epileptogenic zone. EEG source analysis may help to differentiate brain areas with haemodynamic response.