18FDG-PET in epilepsies of infantile onset with pharmacoresistant generalised tonic-clonic seizures

Korinthenberg, Rudolf; Bauer-Scheid, Carola; Burkart, Peter; Bouar, Heike Martens-Le; Kassubek, Jan; Juengling, Freimut D.

doi:10.1016/j.eplepsyres.2004.05.006

Cited by 15 publications

(10 citation statements)

References 25 publications

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“…Hypometabolic areas in FIRES are also consistent with neuropsychologic findings, as previously reported in other epilepsy conditions: low cognitive functioning with the extent and bilaterality of frontal hypometabolism (36), language disorders with external temporal involvement and, particularly, receptive troubles with posterior parietotemporal hypometabolism (37), behavior disorders with orbitofrontal hypometabolism, and major sociocognitive troubles with bilateral hypometabolism of the superior temporal gyrus (according to PET findings in autistic children (38)). A quite similar network has been identified in children with aggressive behavior (39).…”

Section: Temporal-orbitofrontal Dysfunction In Fires: From Areas To Nsupporting

confidence: 73%

¹⁸F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

Mazzuca¹,

Jambaqué²,

Hertz-Pannier³

et al. 2010

J Nucl Med

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Fever-induced refractory epileptic encephalopathy in schoolage children (FIRES) is a recently described epileptic entity whose etiology remains unknown. Brain abnormalities shown by MRI are usually limited to mesial-temporal structures and do not account for the catastrophic neuropsychologic findings. Methods: We conducted FIRES studies in 8 patients, aged 6-13 y, using 18 F-FDG PET to disclose eventual neocortical dysfunction. Voxel-based analyses of cerebral glucose metabolism were performed using statistical parametric mapping and an age-matched control group. Results: Group analysis revealed a widespread interictal hypometabolic network including the temporoparietal and orbitofrontal cortices bilaterally. The individual analyses in patients identified hypometabolic areas corresponding to the predominant electroencephalograph foci and neuropsychologic deficits involving language, behavior, and memory. Conclusion: Despite clinical heterogeneity, 18 F-FDG PET reveals a common network dysfunction in patients with sequelae due to fever-induced refractory epileptic encephalopathy.

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Section: Temporal-orbitofrontal Dysfunction In Fires: From Areas To Nsupporting

confidence: 73%

¹⁸F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

Mazzuca¹,

Jambaqué²,

Hertz-Pannier³

et al. 2010

J Nucl Med

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“…But even these activations were inconsistent and did not contribute to the group analysis. Although the attempt to describe a common syndrome‐specific network for SMEI patients was not successful, the results correspond with other neuroimaging studies that have demonstrated a pathogenetic heterogeneity in SMEI patients (Ferrie et al., ; Korinthenberg et al., ).…”

Section: Dravet Syndromesupporting

confidence: 85%

Functional neuroimaging in epileptic encephalopathies

Siniatchkin

Capovilla

2013

Epilepsia

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SUMMARYEpileptic encephalopathies (EEs) represent a group of severe epileptic disorders associated with cognitive and behavioral disturbances. The mechanisms of cognitive disability in EEs remain unclear. This review summarized neuroimaging studies that have tried to describe specific fingerprints of brain activation in EE. Although the epileptic activity can be generated individually in different brain regions, it seems likely that the activity propagates in a syndrome-specific way. In some EEs, the epileptiform discharges were associated with an interruption of activity in the default mode network. In another EE, other mechanisms seem to underlie cognitive disability associated with epileptic activity, for example, abnormal connectivity pattern or interfering activity in the thalamocortical network. Further neuroimaging studies are needed to investigate the short-term and long-term impact of epileptic activity on cognition and development.

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“…However, this study did not differentiate between disease‐specific subgroups of patients. Of interest, symmetrical pattern of hypometabolism was described in another FDG‐PET study of 30 patients with generalized tonic–clonic seizures, including patients with DS (Korinthenberg et al., ). This study showed positive correlations between abnormal frontal metabolism and the degree of mental retardation.…”

Section: Discussionmentioning

confidence: 93%

Variability of EEG‐fMRI findings in patients with SCN1A‐positive Dravet syndrome

et al. 2013

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Summary Purpose Dravet syndrome (DS) or severe myoclonic epilepsy of infancy is an intractable epileptic encephalopathy of early childhood that is caused by a mutation in the SCN1A gene in most patients. The aim of this study was to identify a syndrome‐specific epileptic network underlying interictal epileptiform discharges (IEDs) in patients with DS. Methods Ten patients with the diagnosis of DS associated with mutations in the SCN1A gene were investigated using simultaneous recording of electroencephalography and functional magnetic resonance imaging ((EEG‐fMRI). Time series of IEDs were used as regressors for the statistical fMRI analysis. Key Findings In nine patients with DS, individual blood oxygenation level–dependent (BOLD) signal changes were seen. In three patients the thalamus was involved. Furthermore, regions of the default mode network were activated in seven patients. However, a common activation pattern associated with IEDs could not be detected. Significance The study demonstrates that, despite a common genetic etiology in DS, different neuronal networks underlie the individual IEDs.

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18FDG-PET in epilepsies of infantile onset with pharmacoresistant generalised tonic-clonic seizures

Cited by 15 publications

References 25 publications

¹⁸F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

¹⁸F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

Functional neuroimaging in epileptic encephalopathies

Variability of EEG‐fMRI findings in patients with SCN1A‐positive Dravet syndrome

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18FDG-PET in epilepsies of infantile onset with pharmacoresistant generalised tonic-clonic seizures

Cited by 15 publications

References 25 publications

18F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

18F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

Functional neuroimaging in epileptic encephalopathies

Variability of EEG‐fMRI findings in patients with SCN1A‐positive Dravet syndrome

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¹⁸F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy

¹⁸F-FDG PET Reveals Frontotemporal Dysfunction in Children with Fever-Induced Refractory Epileptic Encephalopathy