Intracranial electroencephalography seizure onset patterns and surgical outcomes in nonlesional extratemporal epilepsy

2010 ◽  
Vol 2010 ◽  
pp. 229-231
Author(s):  
P.A. House
2020 ◽  
Author(s):  
Daniele Grattarola ◽  
Lorenzo Livi ◽  
Cesare Alippi ◽  
Richard Wennberg ◽  
Taufik Valiante

Abstract Graph neural networks (GNNs) and the attention mechanism are two of the most significant advances in artificial intelligence methods over the past few years. The former are neural networks able to process graph-structured data, while the latter learns to selectively focus on those parts of the input that are more relevant for the task at hand. In this paper, we propose a methodology for seizure localisation which combines the two approaches. Our method is composed of several blocks. First, we represent brain states in a compact way by computing functional networks from intracranial electroencephalography recordings, using metrics to quantify the coupling between the activity of different brain areas. Then, we train a GNN to correctly distinguish between functional networks associated with interictal and ictal phases. The GNN is equipped with an attention-based layer which automatically learns to identify those regions of the brain (associated with individual electrodes) that are most important for a correct classification. The localisation of these regions is fully unsupervised, meaning that it does not use any prior information regarding the seizure onset zone. We report results both for human patients and for simulators of brain activity. We show that the regions of interest identified by the GNN strongly correlate with the localisation of the seizure onset zone reported by electroencephalographers. We also show that our GNN exhibits uncertainty on those patients for which the clinical localisation was also unsuccessful, highlighting the robustness of the proposed approach.


2005 ◽  
Vol 5 (5) ◽  
pp. 197-199
Author(s):  
Paul A. Garcia

Electroclinical, MRI, and Neuropathological Study of 10 Patients with Nodular Heterotopia, with Surgical Outcomes Tassi L, Colombo N, Cossu M, Mai R, Francione S, Lo Russo G, Galli C, Bramerio M, Battaglia G, Garbelli R, Meroni A, Spreafico R Brain 2005;128:321–337 We present the results of a retrospective study on 10 patients operated on for intractable epilepsy associated with nodular heterotopia, as identified by high-resolution MRI. Seven patients had unilateral heterotopia, one patient had symmetrical bilateral heterotopia, and two patients had asymmetrical bilateral heterotopia. By stereoelectroencephalogram (SEEG; nine patients), interictal activity within nodules was similar in all cases, and ictal activity never started from nodules alone but from the overlying cortex or simultaneously in nodules and cortex. Excellent outcomes (Engel class Ia, 1987) were achieved in the seven patients with unilateral heterotopia, showing that surgery can be highly beneficial in such cases when the epileptogenic zone is carefully located before surgery by MRI and particularly SEEG. For the bilateral cases, surgical outcomes were Engel IIa (one patient) or Engel IIIa (two patients). Histologic/immunohistochemical studies of resected specimens showed that all nodules had similar microscopic organization, even though their extent and location varied markedly. The overlying cortex was dysplastic in nine patients, but of normal thickness. We suggest that nodule formation may be the result of a dual mechanism: ( 1 ) failure of a stop signal in the germinal periventricular region leading to cell overproduction; and ( 2 ) early transformation of radial glial cells into astrocytes, resulting in defective neuronal migration. The intrinsic interictal epileptiform activity of nodules may be due to an impaired intranodular GABAergic system. The Role of Periventricular Nodular Heterotopia in Epileptogenesis Aghakhani Y, Kinay D, Gotman J, Soualmi L, Andermann F, Olivier A, Dubeau F Brain 2005;128:641–651 A temporal resection in patients with periventricular nodular heterotopia (PNH) and intractable focal seizures yields poor results. To define the role of heterotopic grey matter tissue in epileptogenesis and to improve outcome, we performed stereoencephalography (SEEG) recordings in eight patients with uni- or bilateral PNH and intractable focal epilepsy. The SEEG studies aimed to evaluate the most epileptogenic areas and included the allo- and neocortex and at least one nodule of grey matter. Interictal spiking activity was found in ectopic grey matter in three patients, in the cortex overlying the nodules in five, and in the mesial temporal structures in all. At least one heterotopion was involved at seizure onset in six patients, synchronous with the overlying neocortex or ipsilateral hippocampus. Two patients had their seizures originating in the mesial temporal structures only. Six patients had surgery, and the resected areas included the seizure onset, with follow-up from 1 to 8 years. An amygdalohippocampectomy was performed in two (Engel classes Id and III), an amygdalohippocampectomy plus removal of an adjacent heterotopion in two (class Ia), and a resection of two contiguous nodules plus a small rim of overlying occipital cortex in one patient (class Id). One patient with bilateral PNH had three adjacent nodules resected and an ipsilateral amygdalohippocampectomy, resulting in a reduction of the number of seizures by 25 to 50%. The best predictor of surgical outcome is the presence of a focal epileptic generator; this generator may or may not include the PNH. Invasive recording is required in patients with PNH; it improves localization and is the key to better outcome.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Nuria E. Cámpora ◽  
Camilo J. Mininni ◽  
Silvia Kochen ◽  
Sergio E. Lew

AbstractUnderstanding changes in brain rhythms provides useful information to predict the onset of a seizure and to localize its onset zone in epileptic patients. Brain rhythms dynamics in general, and phase-amplitude coupling in particular, are known to be drastically altered during epileptic seizures. However, the neural processes that take place before a seizure are not well understood. We analysed the phase-amplitude coupling dynamics of stereoelectroencephalography recordings (30 seizures, 5 patients) before and after seizure onset. Electrodes near the seizure onset zone showed higher phase-amplitude coupling. Immediately before the beginning of the seizure, phase-amplitude coupling dropped to values similar to the observed in electrodes far from the seizure onset zone. Thus, our results bring accurate information to detect epileptic events during pre-ictal periods and to delimit the zone of seizure onset in patients undergoing epilepsy surgery.


2009 ◽  
Vol 110 (6) ◽  
pp. 1147-1152 ◽  
Author(s):  
Nicholas M. Wetjen ◽  
W. Richard Marsh ◽  
Fredric B. Meyer ◽  
Gregory D. Cascino ◽  
Elson So ◽  
...  

Object Patients with normal MR imaging (nonlesional) findings and medically refractory extratemporal epilepsy make up a disproportionate number of nonexcellent outcomes after epilepsy surgery. In this paper, the authors investigated the usefulness of intracranial electroencephalography (iEEG) in the identification of surgical candidates. Methods Between 1992 and 2002, 51 consecutive patients with normal MR imaging findings and extratemporal epilepsy underwent intracranial electrode monitoring. The implantation of intracranial electrodes was determined by seizure semiology, interictal and ictal scalp EEG, SPECT, and in some patients PET studies. The demographics of patients at the time of surgery, lobar localization of electrode implantation, duration of follow-up, and Engel outcome score were abstracted from the Mayo Rochester Epilepsy Surgery Database. A blinded independent review of the iEEG records was conducted for this study. Results Thirty-one (61%) of the 51 patients who underwent iEEG ultimately underwent resection for their epilepsy. For 28 (90.3%) of the 31 patients who had epilepsy surgery, adequate information regarding follow-up (> 1 year), seizure frequency, and iEEG recordings was available. Twenty-six (92.9%) of 28 patients had frontal lobe resections, and 2 had parietal lobe resections. The most common iEEG pattern at seizure onset in the surgically treated group was a focal high-frequency discharge (in 15 [53.6%] of 28 patients). Ten (35.7%) of the 28 surgically treated patients were seizure free. Fourteen (50%) had Engel Class I outcomes, and overall, 17 (60.7%) had significant improvement (Engel Class I and IIAB with ≥80% seizure reduction). Focal high-frequency oscillation at seizure onset was associated with Engel Class I surgical outcome (12 [85.7%] of 14 patients, p = 0.02), and it was uncommon in the nonexcellent outcome group (3 [21.4%] of 14 patients). Conclusions A focal high-frequency oscillation (> 20 Hz) at seizure onset on iEEG may identify patients with nonlesional extratemporal epilepsy who are likely to have an Engel Class I outcome after epilepsy surgery. The prospect of excellent outcome in nonlesional extratemporal lobe epilepsy prior to intracranial monitoring is poor (14 [27.5%] of 51 patients). However, iEEG can further stratify patients and help identify those with a greater likelihood of Engel Class I outcome after surgery.


2016 ◽  
Vol 122 ◽  
pp. 102-109 ◽  
Author(s):  
Jun-Sang Sunwoo ◽  
Jung-Ick Byun ◽  
Jangsup Moon ◽  
Jung-Ah Lim ◽  
Tae-Joon Kim ◽  
...  

Neurosurgery ◽  
2010 ◽  
Vol 66 (2) ◽  
pp. 354-362 ◽  
Author(s):  
Mark D. Holmes ◽  
Don M. Tucker ◽  
Jason M. Quiring ◽  
Shahin Hakimian ◽  
John W. Miller ◽  
...  

Abstract OBJECTIVE To compare the localization of the seizure onset zone estimated from ictal recordings with high spatial resolution, 256-channel scalp dense array electroencephalographic video long-term monitoring (LTM) with the aid of source analysis with that obtained from subsequent intracranial ictal recordings. METHODS Ten patients with medically refractory epilepsy, all surgical candidates, underwent intracranial LTM after standard noninvasive evaluation failed to provide adequate localizing information regarding ictal origins. Before invasive studies, all patients underwent dense array electroencephalographic LTM in which habitual clinical seizures were recorded for each patient. Source analysis was applied to ictal onsets. Intracranial electrode placement followed conventional guidelines, although the neurosurgeon was aware of the dense array electroencephalographic results. Patients ranged in age from 10 to 49 years (mean age, 24 y); 7 were male. Identified risk factors included closed head injury in 1 patient and childhood meningitis in another. No focal neurological signs were found in any patient. Magnetic resonance imaging findings were normal in 6 patients; 1 patient had cerebellar hypoplasia, 1 had right frontoparietal dysplasia, 1 had bilateral nonspecific white matter abnormalities, and 1 had bilateral cavernous angiomas. RESULTS Ictal onsets, based on invasive recordings, were in the mesiotemporal lobe (3 patients), lateroparietal (2 patients), mesioparietal (1 patient), laterofrontal (1 patient), superolateral frontocentral (1 patient), frontopolar (1 patient), and posteroinferior temporo-occipital neocortex (1 patient). Dense array electroencephalography localized ictal onsets to the same region as intracranial monitoring in 8 of 10 cases; invasive studies disclosed an additional ictal focus in 2 of these patients. Surgical resections were based only on intracranial electroencephalographic findings. CONCLUSION Dense array electroencephalography has the potential to assist in the noninvasive localization of epileptic seizures and to guide the placement of invasive electrodes for localizing seizure onset.


2019 ◽  
Author(s):  
Adam Li ◽  
Chester Huynh ◽  
Zachary Fitzgerald ◽  
Iahn Cajigas ◽  
Damian Brusko ◽  
...  

AbstractOver 15 million epilepsy patients worldwide do not respond to drugs. Successful surgical treatment requires complete removal, or disconnection of the seizure onset zone (SOZ), brain region(s) where seizures originate. Unfortunately, surgical success rates vary between 30%-70% because no clinically validated biological marker of the SOZ exists. We develop and retrospectively validate a new EEG marker - neural fragility. We validate this new marker in a retrospective analysis of 91 patients by using neural fragility of the annotated SOZ as a metric to predict surgical outcomes. Fragility predicts 43/47 surgical failures with an overall prediction accuracy of 76%, compared to the accuracy of clinicians being 48% (successful outcomes). In failed outcomes, we identify fragile regions that were untreated. When compared to 20 EEG features proposed as SOZ markers, fragility outperformed in predictive power and interpretability suggesting neural fragility as an EEG fingerprint of the SOZ.One Sentence SummaryNeural fragility, an intracranial EEG biomarker for the seizure onset zone in drug-resistant epilepsy, predicts surgical outcomes with high accuracy.


Author(s):  
Olivier David

Intracranial electroencephalography (iEEG) is used to localize the seizure onset zone (SOZ) and connected neuronal networks in surgical candidates suffering from intractable focal epilepsy. Identification of the SOZ is usually based on visual inspection of iEEG signals, but new computer-based quantitative iEEG analyses are being developed to improve and expedite SOZ detection. Two main questions arise. First, which signal features are the best proxys to identify the SOZ and the propagation pathways constituting epileptic networks? Second, how can the results of data analysis be represented in a clinically useful and meaningful manner? This chapter adopts an epileptogenicity mapping approach based on maps of ictal high-frequency oscillations superimposed on neuroanatomy and illustrates the main concepts underlying mapping of seizure networks. Future quantitative iEEG approaches should complete and operationalize understanding of seizure networks. Quantitative neuroimaging of iEEG features of seizures should help provide better presurgical assessment of patients undergoing resective surgery.


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