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Littérature scientifique sur le sujet « Ictal EEG »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "Ictal EEG"

Shahaf, Goded, Pora Kuperman, Yuval Bloch, Shahak Yariv, and Yelena Granovsky. "Monitoring Migraine Cycle Dynamics with an Easy-to-Use Electrophysiological Marker—A Pilot Study." Sensors 18, no. 11 (2018): 3918. http://dx.doi.org/10.3390/s18113918.

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Migraine attacks can cause significant discomfort and reduced functioning for days at a time, including the pre-ictal and post-ictal periods. During the inter-ictsal period, however, migraineurs seem to function normally. It is puzzling, therefore, that event-related potentials of migraine patients often differ in the asymptomatic and inter-ictal period. Part of the electrophysiological dynamics demonstrated in the migraine cycle are attention related. In this pilot study we evaluated an easy-to-use new marker, the Brain Engagement Index (BEI), for attention monitoring during the migraine cycl

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Knowlton, Robert C. "Ictal EEG Source Imaging." Journal of Clinical Neurophysiology 41, no. 1 (2024): 27–35. http://dx.doi.org/10.1097/wnp.0000000000001033.

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Summary: Ictal EEG source imaging (ESI) is an advancing and growing application for presurgical epilepsy evaluation. For far too long, localization of seizures with scalp EEG has continued to rely on visual inspection of tracings arranged in a variety of montages allowing, at best, rough estimates of seizure onset regions. This most critical step is arguably the weakest point in epilepsy localization for surgical decision-making in clinical practice today. This review covers the methods and strategies that have been developed and tested for the performance of ictal ESI. It highlights practical

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Boggs, Jane. "A Reexamination of PLEDs in the Setting of Status Epilepticus." Epilepsy Currents 2, no. 4 (2002): 113–14. http://dx.doi.org/10.1111/j.1535-7597.2002.t01-1-00042.x.

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Serial EEG During Human Status Epilepticus: Evidence for PLED as an Ictal Pattern Garzon E, Fernandes RM, Sakamoto AC Neurology 2001;57:1175–1183 Objective To analyze the relationship between periodic lateralized epileptiform discharges (PLED) and status epilepticus (SE), to evaluate the relationship between mortality and periodic patterns, and to determine whether a stereotypic sequence of EEG patterns exists during human SE. Methods The authors performed a prospective clinical and electrographic study comprising 62 episodes of SE, 55 patients, and 254 ictal/postictal EEG recordings. Serial d

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Beniczky, Sándor, and Praveen Sharma. "Ictal EEG source imaging." Zeitschrift für Epileptologie 31, no. 3 (2018): 197–202. http://dx.doi.org/10.1007/s10309-018-0184-z.

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De Vos, Maarten, Lieven De Lathauwer, Bart Vanrumste, Sabine Van Huffel, and W. Van Paesschen. "Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study." Computational Intelligence and Neuroscience 2007 (2007): 1–10. http://dx.doi.org/10.1155/2007/58253.

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Long-term electroencephalographic (EEG) recordings are important in the presurgical evaluation of refractory partial epilepsy for the delineation of the ictal onset zones. In this paper, we introduce a new concept for an automatic, fast, and objective localisation of the ictal onset zone in ictal EEG recordings. Canonical decomposition of ictal EEG decomposes the EEG in atoms. One or more atoms are related to the seizure activity. A single dipole was then fitted to model the potential distribution of each epileptic atom. In this study, we performed a simulation study in order to estimate the d

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WANG, YU, WEIDONG ZHOU, QI YUAN, et al. "COMPARISON OF ICTAL AND INTERICTAL EEG SIGNALS USING FRACTAL FEATURES." International Journal of Neural Systems 23, no. 06 (2013): 1350028. http://dx.doi.org/10.1142/s0129065713500287.

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The feature analysis of epileptic EEG is very significant in diagnosis of epilepsy. This paper introduces two nonlinear features derived from fractal geometry for epileptic EEG analysis. The features of blanket dimension and fractal intercept are extracted to characterize behavior of EEG activities, and then their discriminatory power for ictal and interictal EEGs are compared by means of statistical methods. It is found that there is significant difference of the blanket dimension and fractal intercept between interictal and ictal EEGs, and the difference of the fractal intercept feature betw

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Wu, Y., S. Weiss, and C. Hahn. "B.03 Registered EEG technologists can accurately identify ictal and interictal epileptiform patterns on routine EEG." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 45, s2 (2018): S12. http://dx.doi.org/10.1017/cjn.2018.91.

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Background: Registered EEG technologists (RETs) are trained in both the technical aspects of EEG and in preliminary EEG interpretation. However, there is little research evaluating the accuracy of EEG interpretation by RETs. Methods: Retrospective study of consecutive routine EEG recordings performed at SickKids Hospital. Preliminary reports by RETs and final reports by neurophysiologists were compared in 5 domains: background activity, focal abnormalities, ictal and inter-ictal epileptiform discharges and summary. Results: 500 EEG recordings were analyzed. Sensitivity and specificity of RET r

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Mestre, Tiago A., Carla Bentes, and José Pimentel. "Ictal eructation: a case report." Epileptic Disorders 10, no. 2 (2008): 170–72. http://dx.doi.org/10.1684/epd.2008.0190.

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ABSTRACT Gastrointestinal symptoms are considered manifestations of ictal phenomena. Eructations are only rarely described. The present case illustrates eructation as an ictal sign in a patient with symptomatic refractory epilepsy and a left temporal lesion submitted to video‐EEG monitoring. The ictal EEG reveals a generalized attenuation of background activity followed by a lateralised right anterior temporal theta rhythmic activity. Eructations take place during the initial generalized ictal EEG changes. The rarity of the ictal eructation is emphasised, and the potential localizing and later

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Koh, Susan, Prasanna Jayakar, Trevor Resnick, Luis Alvarez, Richard E. Liit, and Michael Duchowny. "The localizing value of ictal SPECT in children with tuberous sclerosis complex and refractory partial epilepsy." Epileptic Disorders 1, no. 1 (1999): 41–46. http://dx.doi.org/10.1684/j.1950-6945.1999.tb00292.x.

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ABSTRACT Although multiple cortical tubers are a hallmark of tuberous sclerosis complex (TSC), seizures often originate from a single tuber, making excisional surgery a therapeutic option for intractable patients. To assess the role of ictal single photon emission computed tomography (SPECT) in defining the epileptogenic tuber, we reviewed videoelectroencephalography (V/EEG) data, magnetic resonance imaging (MRI) and SPECT scans of 15 patients (aged 3 months to 15 years, mean 5.1) with medically resistant partial seizures and TSC. SPECT scans were performed using Tc‐99m‐hexamethylpropyleneamin

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Limotai, Chusak, Cristina Y. Go, Shiro Baba, et al. "Steal phenomenon in Sturge-Weber syndrome imitating an ictal electroencephalography change in the contralateral hemisphere: report of 2 cases." Journal of Neurosurgery: Pediatrics 16, no. 2 (2015): 212–16. http://dx.doi.org/10.3171/2014.12.peds14238.

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Infants with Sturge-Weber syndrome (SWS) are considered for surgery if they develop seizures and the seizures prove medically refractory. The authors report on 2 infants (15 and 19 months old) with SWS who underwent scalp video electroencephalography (EEG) and subsequent functional hemispherotomy for intractable partial motor seizures due to extensive left hemispheric angiomatosis. They presented with similar interictal and ictal EEG findings. Ictal EEG showed abrupt high-amplitude delta slow waves, without evolution on the contralateral hemisphere before the build-up of ictal EEG changes on t

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Thèses sur le sujet "Ictal EEG"

Medina, Oscar F. "Analysis of Pre-ictal and Non-Ictal EEG Activity: An EMOTIV and LabVIEW Approach." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc955040/.

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In the past few years, the study of electrical activity in the brain and its interactions with the body has become popular among researchers. One of the hottest topics related to brain activity is the epileptic seizure prediction. Currently, there are several techniques on how to predict a seizure; however, most of the techniques found in research papers are just mathematical models and not system implementations. The seizure prediction approach proposed in this thesis paper is achieved using the EMOTIV Epoc+ headset, MATLAB, and LabVIEW as the analog and digital signal processing devices. In

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Chaudhary, U. J. "Haemodynamic correlates of interictal and ictal epileptic discharges and ictal semiology using simultaneous scalp video-EEG-fMRI and intracranial EEG-fMRI." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1388462/.

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Interictal and ictal epileptic discharges are produced by focal and widespread dysfunctional neuronal networks. Identification and characterization of epileptic discharges underlie the diagnosis and the choice of treatment for epilepsy patients. A better knowledge of the generation, propagation and localisation of epileptic discharges, and their interaction with the physiological and pathological brain networks can be very helpful in planning epilepsy surgery and minimizing the risk of damaging the physiological brain networks. This work describes a number of methodological developments and no

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Kumar, Ami [Verfasser], Anand [Akademischer Betreuer] Srivastav, and Ulrich [Gutachter] Stephani. "Characterization of ictal/non-ictal EEG patterns and Neuronal Networks in Childhood Absence Epilepsy / Ami Kumar ; Gutachter: Ulrich Stephani ; Betreuer: Anand Srivastav." Kiel : Universitätsbibliothek Kiel, 2020. http://d-nb.info/1221599682/34.

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Cardoso, Carla Filipa Godinho. "Microestrutura do EEG no plano tempo-frequência na transição para a crise epiléptica." Master's thesis, FCT-UNL, 2011. http://hdl.handle.net/10362/7116.

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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica<br>Mais de 50 milhões de pessoas em todo o mundo sofrem de epilepsia, doença do sistema nervoso central. Esta é frequentemente definida como sendo tendencial à ocorrência de crises (convulsões). As crises são causadas por um aumento súbito da actividade eléctrica no cérebro. Tipicamente a detecção das crises epilépticas é feita pela análise do EEG, por um técnico especializado, habitualmente um médico neurologista. A crise epiléptica é um sintoma neurológico ocasionado pela actividade anormal dos neurónios cerebrais. Geralmen

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Deshmukh, Abhay S. "Histological Characterization of Inter Ictal Epileptiform Discharges Generating Brain Regions using a Preclinical Model of Focal Cortical Dysplasia." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2316.

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Current clinical practice of resective surgery in focal epilepsy involves electroencephalogram (EEG) brain source imaging to localize irritative brain areas from where Inter-ictal epileptiform discharges (IEDs) emerge, useful to localize the seizures-onset zones. Unfortunately, there are no previous systematic studies to characterize the pathophysiological mechanisms and abnormal cellular substrates in these irritative areas since histological data are available only from the final resective zones. To address this issue we applied a combination of EEG brain imaging described by Bae et al. (201

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Patrocínio, João Pedro Silva Lima. "Displasia cortical focal e epilepsia : comparação de EEG interictal e ictal com a localização da lesão." Master's thesis, 2012. http://hdl.handle.net/10316/80755.

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Trabalho final de mestrado integrado em Medicina área científica de Neurologia, apresentado á Faculdade de Medicina da Universidade de Coimbra<br>Introdução As displasias corticais focais (DCF) são regiões localizadas de malformações do desenvolvimento cortical, sendo uma das causas mais comuns de epilepsia refratária à medicação. A maioria dos trabalhos existentes do género tem amostras muito heterogéneas, incluindo diversos tipos de malformação do desenvolvimento cortical ou mesmo outras lesões documentadas por ressonância magnética nuclear (RMN) e, genericamente, restringem-se a doentes su

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Dorai, Arvind. "Automated Epileptic Seizure Onset Detection." Thesis, 2009. http://hdl.handle.net/10012/4342.

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Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to abnormal or excessive neuronal activity in the brain. An estimated 50 million people around the world suffer from this condition, and it is classified as the second most serious neurological disease known to humanity, after stroke. With early and accurate detection of seizures, doctors can gain valuable time to administer medications and other such anti-seizure countermeasures to help reduce the damaging effects of this crippling disorder. The time-varying dynamics and high inter-individual varia

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Livres sur le sujet "Ictal EEG"

Seeck, Margitta, and Donald L. Schomer. Intracranial EEG Monitoring. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0029.

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Intracranial electroencephalography (iEEG) is used to localize the focus of seizures and determine vital adjacent cortex before epilepsy surgery. The two most commonly used electrode types are subdural and depth electrodes. Foramen ovale electrodes are less often used. Combinations of electrode types are possible. The choice depends on the presumed focus site. Careful planning is needed before implantation, taking into account the results of noninvasive studies. While subdural recordings allow better mapping of functional cortex, depth electrodes can reach deep structures. There are no guideli

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Wehner, Tim, Kanjana Unnwongse, and Beate Diehl. Focal epilepsy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0028.

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This chapter examines the neurophysiology of focal epilepsy. It discusses the principles of EEG source localization. This is followed by a presentation of nonspecific and epileptiform interictal EEG findings and ictal EEG patterns seen in focal epilepsy, along with normal EEG variants that may be mistaken for epileptiform features. Seizure semiologies and ictal and interictal EEG findings in mesial and neocortical temporal lobe epilepsy, orbitofrontal, dorsolateral, and mesial frontal epilepsy, insular epilepsy, and parietal and occipital epilepsy are presented with illustrative case discussio

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Krishnan, Vaishnav, Bernard S. Chang, and Donald L. Schomer. The Application of EEG to Epilepsy in Adults and the Elderly. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0019.

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Surface or scalp electroencephalography (EEG) has become an indispensable tool for the diagnosis, classification, and care of patients with epilepsy across the age spectrum. This chapter provides an overview of interictal and corresponding ictal scalp EEG patterns observed in adults with certain classical epilepsy syndromes. In patients with one or more new-onset seizures, the value of EEG testing begins with a close examination of the interictal record. The morphology, frequency, and topography of interictal epileptiform discharges (when present) are typically sufficient to broadly distinguis

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Furlong, Paul L., Elaine Foley, Caroline Witton, and Stefano Seri. Magnetoencephalography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0013.

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For presurgical assessments for resection of an epileptogenic lesion or zone, evaluations over the last 20 years have established magnetoencephalography (MEG) as a valuable tool in routine clinical practice in both adult and paediatric age groups. MEG can accurately localize both ictal and inter-ictal spike sources. MEG yields important additional information in around 30% of patients with epilepsy of suspected neocortical origin, aiding in the modification or extension of invasive measurements. Seizure freedom is most likely to occur when there is concordance between electroencephalogram (EEG

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Walker, Matthew C. Convulsive and non-convulsive status epilepticus. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0030.

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This chapter describes the definition, epidemiology, classification, diagnosis, and treatment of status epilepticus, concentrating on the roles that electroencephalography (EEG) plays. The term status epilepticus now encompasses a range of conditions from continuous convulsive seizures to clinically subtle non-convulsive seizures, which may manifest as changes in behaviour or personality. EEG is critical for the diagnosis of non-convulsive status epilepticus. Furthermore, the progression of convulsive status epilepticus is to an electromechanical dissociation in which continuous electrical sei

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Beal, Jules C., Monika Eisermann, Sunita Misra, et al. Seizures and Epilepsy in Preterm and Term Neonates, Infants, Children, and Adolescents. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0018.

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Children are often affected by seizure types and epilepsy syndromes that are specific to their age group and distinct from those seen in adults. At the same time, certain epilepsy syndromes affecting the adult population, such as Lennox–Gastaut syndrome and juvenile myoclonic epilepsy, often begin during childhood, as do seizures related to genetic abnormalities. The use of electroencephalography (EEG) and prolonged EEG monitoring has allowed for further insight and greater specificity in identifying and understanding seizures and epilepsy syndromes in children. This chapter reviews the role o

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Koutroumanidis, Michalis, Dimitrios Sakellariou, and Vasiliki Tsirka. Electroencephalography. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0011.

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This chapter concentrates on essential technical aspects of the electroencephalogram (EEG) and its role in the clinical and aetiological diagnosis of people with epilepsy. The technical subsection explores important stages of the largely ‘mystifying’ process from the generation of the abnormal signals in the brain to their final visualization on the screen, including digitalization of the signal and sampling rate, montages, and derivations, focusing on their clinical relevance. The second part reviews the behavioural attributes of the interictal and ictal discharges in the different epilepsy t

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Nates, Joseph L., and Sharla K. Tajchman. Indirect calorimetry in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0205.

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Critically-ill patients have unpredictable and dynamic metabolic demands that are difficult to predict and quantify. Combined with the high incidence of pre-existing or development of malnutrition in the ICU, these metabolic demands have deleterious effects on outcomes when patients are provided with inadequate or inappropriate nutrition support. Providing adequate nutritional support that meets these varying metabolic demands is a long-standing challenge in the intensive care unit (ICU). Indirect calorimetry (ICal) is a tool that allows ICU practitioners to accurately assess energy expenditur

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Chapitres de livres sur le sujet "Ictal EEG"

Rubboli, Guido, Saverio Silipo, Elena Gardella, and Carlo Alberto Tassinari. "Ictal EEG." In Atlas of Epilepsies. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-128-6_102.

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Seneviratne, Udaya. "Ictal-interictal continuum." In Making Sense of the EEG. CRC Press, 2023. http://dx.doi.org/10.1201/9781003353713-19.

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Koubeissi, Mohamad Z., and Nabil J. Azar. "Ictal and Interictal EEG." In Epilepsy Board Review. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6774-2_5.

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Sazgar, Mona, and Michael G. Young. "Interictal and Ictal EEG Patterns." In Absolute Epilepsy and EEG Rotation Review. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-03511-2_9.

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Meletti, Stefano, Leandra Giunta, and Matteo Pugnaghi. "EEG Interictal Spikes, Ictal Patterns, and Accepted Terminology." In EEG: The First 100 Years. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86878-8_7.

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Das, Khakon, and Ashish Khare. "α and β-Testing of an Epileptic Seizure Detection Algorithm on Pre-ictal, Ictal, and Inter-ictal Part of EEG Signal." In Computational Intelligence in Pattern Recognition. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3734-9_21.

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Albin, Catherine S. W., and Sahar F. Zafar. "Continuous EEG Monitoring, Electrographic Seizures, and the Ictal-Interictal Continuum." In The Acute Neurology Survival Guide. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-75732-8_50.

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Karfoul, Ahmad, Amar Kachenoura, Laurent Albera, et al. "Muscle Artifact Removal in Ictal Scalp-EEG Based on Blind Source Separation." In IFMBE Proceedings. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11128-5_121.

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Habib, M. A., F. Ibrahim, M. S. Mohktar, S. B. Kamaruzzaman, and K. S. Lim. "Effects of Coherent Noise on Ictal Component Selection for EEG Source Imaging." In IFMBE Proceedings. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-10-0266-3_28.

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Kaur, Arshpreet, and Kumar Shashvat. "Identification of Inter-ictal Activity from EEG Signal Using Scalograms with LeNet-5 Based Model." In ICT Analysis and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5224-1_46.

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Actes de conférences sur le sujet "Ictal EEG"

Mbarek, Manef Ben, Assali Ines, Salah Hamdi, Ben Abdallah Asma, Carrere Marcel, and Bedoui Mohamed Hedi. "Revealing Dynamic EEG-ECG Connectivity in Temporal Lobe Epilepsy: Insights from Pre-Ictal and Inter-Ictal Periods." In 2024 IEEE/ACS 21st International Conference on Computer Systems and Applications (AICCSA). IEEE, 2024. https://doi.org/10.1109/aiccsa63423.2024.10912572.

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Xue, Ruijie, Weiwei Shi, and Yang Hong. "A Configurable EEG Procesing Driver Chip for Wireless Wearable Devices." In 2024 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA). IEEE, 2024. https://doi.org/10.1109/icta64028.2024.10860440.

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Parvez, Zavid M., and Manoranjan Paul. "Classification of Ictal and Interictal EEG Signals." In Biomedical Engineering. ACTAPRESS, 2013. http://dx.doi.org/10.2316/p.2013.791-031.

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Zeljkovic, V., C. Druzgalski, L. Yequn, et al. "Automated pre-ictal phase detection algorithm from EEG signals." In 2013 Pan American Health Care Exchanges (PAHCE). IEEE, 2013. http://dx.doi.org/10.1109/pahce.2013.6568349.

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Ma, Zhen, Weidong Zhou, Qi Yuan, and Shujuan Geng. "Simulation of ictal EEG with a neuronal population model." In 2011 International Symposium on Bioelectronics and Bioinformatics (ISBB). IEEE, 2011. http://dx.doi.org/10.1109/isbb.2011.6107656.

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Jing, Jin, Emile d'Angremont, Sahar Zafar, et al. "Rapid Annotation of Seizures and Interictal-ictal Continuum EEG Patterns." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8513059.

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Recber, Deniz, and Mehmet Feyzi Aksahin. "Epilepsy Classification in Ictal Stage From EEG Signals for Children." In 2019 Medical Technologies Congress (TIPTEKNO). IEEE, 2019. http://dx.doi.org/10.1109/tiptekno.2019.8895061.

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Lin Yang, C. Wilke, Benjamin Brinkmann, G. A. Worrell, and Bin He. "Dynamic imaging of ictal rhythmic activity using dense-array EEG." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6092039.

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Gritsch, G., M. M. Hartmann, H. Perko, F. Furbas, P. Ossenblok, and T. Kluge. "Automatic detection of the seizure onset zone based on ictal EEG." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090969.

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Sabarivani, A., and R. Ramadevi. "Classification for Ictal and Interictal EEG Signals Using Empirical Mode Decomposition." In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2021. http://dx.doi.org/10.1109/icacite51222.2021.9404578.

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