Topographic EEG mapping of 3/s spike-and-wave complexes during absence seizures

Ferri, Raffaele; Iliceto, Giovanni; Carlucci, V.

doi:10.1007/bf02282912

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…Generally channels located in the frontal, midline, and parietal regions show a better performance when compared to the channels in the occipital region. This is in accordance with the biological findings that spike-and-wave complexes during an absence peak in the frontal regions, but also have a high activity over the midline region [9].…”

Section: Resultssupporting

confidence: 92%

Generic single-channel detection of absence seizures

Petersen

Duun‐Henriksen

Mazzaretto

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-A long-term EEG-monitoring system, which automatically marks seizure events, is useful for diagnosing and treating epilepsy. A generic method utilizing the low interand intra-patient variabilities in EEG-characteristics during absence seizures is proposed. This paper investigates if the spike-and-wave behaviour during absence seizures is so distinct that a single-channel implementation is possible. 18 channels of scalp electroencephalography (EEG), from 19 patients suffering from childhood absence epilepsy, are analysed individually. The characteristics of the seizures are captured using the energy content of wavelet transform subbands and classified using a support vector machine. To ease the evaluation of the method, we present a new graphical visualization of the performance based on the topographical distribution on the scalp.The presented seizure detection method shows that the best result is obtained for the derivation F7-FP1. Using this channel a sensitivity of 99.1 %, positive predictive value of 94.8 %, mean detection latency of 3.7 s, and false detection rate value of 0.5/h was obtained. The topographical visualization of the results clearly shows that the frontal, midline, and parietal channels outperform detection based on the channels in the occipital region.

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Section: Resultssupporting

confidence: 92%

Generic single-channel detection of absence seizures

Petersen

Duun‐Henriksen

Mazzaretto

et al. 2011

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…4, 5). Additionally, our results extend prior findings that demonstrated the existence of the posterior centre of gravity in the early course of ictal generalized spike-wave complex (Rodin 1999;Rodin and Cornellier 1989;Ferri et al 1995). We suggest that our findings indicate that this region is hyperactive also in spike-free EEG epochs.…”

Section: Why Did We Observe Spectral Power Increases Predominantly Insupporting

confidence: 87%

Does Greater Low Frequency EEG Activity in Normal Immaturity and in Children with Epilepsy Arise in the Same Neuronal Network?

et al. 2010

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Greater low frequency power (<8 Hz) in the electroencephalogram (EEG) at rest is normal in the immature developing brain of children when compared to adults. Children with epilepsy also have greater low frequency interictal resting EEG activity. Whether these power elevations reflect brain immaturity due to a developmental lag or the underlying epileptic pathophysiology is unclear. The present study addresses this question by analyzing spectral EEG topographies and sources for normally developing children and children with epilepsy. We first compared the resting EEG of healthy children to that of healthy adults to isolate effects related to normal brain immaturity. Next, we compared the EEG from 10 children with generalized cryptogenic epilepsy to the EEG of 24 healthy children to isolate effects related to epilepsy. Spectral analysis revealed that global low (delta: 1-3 Hz, theta: 4-7 Hz), medium (alpha: 8-12 Hz) and high (beta: 13-25 Hz) frequency EEG activity was greater in children without epilepsy compared to adults, and even further elevated for children with epilepsy. Topographical and tomographic EEG analyses showed that normal immaturity corresponded to greater delta and theta activity at fronto-central scalp and brain regions, respectively. In contrast, the epilepsy-related activity elevations were predominantly in the alpha band at parieto-occipital electrodes and brain regions, respectively. We conclude that lower frequency activity can be a sign of normal brain immaturity or brain pathology depending on the specific topography and frequency of the oscillating neuronal network.

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“…LORETA‐defined parietooccipital hyperactivity recalls the unexplained results of some prior studies. Besides the well‐known frontal negative maximum of the potential field, voltage mapping studies disclosed circumscribed parietooccipital negativity in the early course of the ictal GSW complex (Rodin and Cornellier, 1989; Hughes et al, 1990; Rodin, 1999; Ferri et al, 1995). Our LORETA results disclosed that the posterior “center of gravity of the ictal discharge” (Rodin, 1999) is an interictally hyperactive area, presumably a cortical site with ictogenic property.…”

Section: Discussionmentioning

confidence: 94%

Characteristic Distribution of Interictal Brain Electrical Activity in Idiopathic Generalized Epilepsy

Clemens¹,

Bessenyei²,

Piros³

et al. 2007

Epilepsia

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Summary:Purpose: To demonstrate the anatomic localization of the cortical sources of the interictal EEG activity in human idiopathic generalized epilepsy (IGE).Methods: Multiple cortical and hippocampal sources of the interictal spontaneous EEG activity were investigated by lowresolution electromagnetic tomography in 15 untreated IGE patients and in 15 healthy controls. EEG activity (current density) in four frequency bands (delta: 1.5-3.5 Hz, theta: 3.5-7.5 Hz, alpha: 7.5-12.5 Hz, beta: 12.5-25.0 Hz) was computed for 2,397 voxels. Voxel-by-voxel group comparison was done between the patient and the control group. Voxels with p < 0.01 differences (between the two groups) were correlated with cortical anatomy.Results: Areas of significantly increased or decreased activity were characterized by their anatomical extension and the frequency bands involved. Five areas of bilaterally increased activity were found: rostral part of the prefrontal cortex (delta, theta); posterior part of the insula (delta); hippocampus and mediobasal temporal cortex (all frequency bands); medial parietooccipital cortex (theta, alpha, beta); dorsal and polar parts of the occipital cortex (alpha). Bilaterally decreased delta, theta, alpha activity was found in the majority of the frontal and anterior parietal cortex on the lateral surface, and in parts of the medial surface of the hemispheres. The area of decreased beta activity was less extensive. The right lateral and laterobasal temporal cortex showed decreased delta, theta, alpha, and beta activity, while its left counterpart only showed decreased delta and alpha activity in a limited part of this area.Conclusions: (1) Pathological interictal EEG activity is not evenly distributed across the cortex in IGE. The prefrontal area of increased activity corresponds to the area that is essential in the buildup of the ictal spike-wave paroxysms (absence seizures). The existence of the posterior "center of gravity" of increased EEG activity in IGE was confirmed. The frontal area of decreased activity might be related to the cognitive deficit described in IGE patients. (2) Increased activity in a lot of ontogenetically older areas (including the hippocampi) and decreased activity in the majority of the isocortex is a peculiar pattern that argues for a developmental hypothesis for IGE.

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Topographic EEG mapping of 3/s spike-and-wave complexes during absence seizures

Cited by 13 publications

References 20 publications

Generic single-channel detection of absence seizures

Generic single-channel detection of absence seizures

Does Greater Low Frequency EEG Activity in Normal Immaturity and in Children with Epilepsy Arise in the Same Neuronal Network?

Characteristic Distribution of Interictal Brain Electrical Activity in Idiopathic Generalized Epilepsy

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