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Literatura académica sobre el tema "Interictal spike"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 6 de febrero de 2022

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Artículos de revistas sobre el tema "Interictal spike"

Tang, Lilly, Mary Mantle, Paul Ferrari, et al. "Consistency of interictal and ictal onset localization using magnetoencephalography in patients with partial epilepsy." Journal of Neurosurgery 98, no. 4 (2003): 837–45. http://dx.doi.org/10.3171/jns.2003.98.4.0837.

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Object. The aim of this study was to evaluate the spatial accuracy of interictal magnetoencephalography (MEG) in localizing the primary epileptogenic focus in comparison with alternative MEG-derived estimates such as ictal onset recording or sensory mapping of the periphery where seizures manifest. Methods. During this retrospective study of 12 patients with epilepsy who had undergone successful magnetic source (MS) imaging with the aid of a dual 37-channel biomagnetometer as well as simultaneous MEG/electroencephalography (EEG) recordings, ictal events were observed in five patients and quant

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Conrad, Erin C., Samuel B. Tomlinson, Jeremy N. Wong, et al. "Spatial distribution of interictal spikes fluctuates over time and localizes seizure onset." Brain 143, no. 2 (2019): 554–69. http://dx.doi.org/10.1093/brain/awz386.

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Abstract The location of interictal spikes is used to aid surgical planning in patients with medically refractory epilepsy; however, their spatial and temporal dynamics are poorly understood. In this study, we analysed the spatial distribution of interictal spikes over time in 20 adult and paediatric patients (12 females, mean age = 34.5 years, range = 5–58) who underwent intracranial EEG evaluation for epilepsy surgery. Interictal spikes were detected in the 24 h surrounding each seizure and spikes were clustered based on spatial location. The temporal dynamics of spike spatial distribution w

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Eisenberg, Howard M., Andrew C. Papanicolaou, Stephen B. Baumann, Robert L. Rogers, and Linda M. Brown. "Magnetoencephalographic localization of interictal spike sources." Journal of Neurosurgery 74, no. 4 (1991): 660–64. http://dx.doi.org/10.3171/jns.1991.74.4.0660.

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✓ The reliability of localization of interictal spike sources using magnetoencephalography (MEG) was examined by repeated measurements in a patient with temporal lobe epilepsy. During two preoperative recording sessions, the estimated sources, projected onto magnetic resonance images of the patient's brain, were found to lie less than 1 cm apart within the area subsequently resected. The MEG localization was in close agreement with intraoperative cortical recordings.

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Jung, Ki-Young, Jae-Moon Kim, and Dong Wook Kim. "Patterns of Interictal Spike Propagation across the Central Sulcus in Benign Rolandic Epilepsy." Clinical Electroencephalography 34, no. 3 (2003): 153–57. http://dx.doi.org/10.1177/155005940303400309.

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It has been reported that the rolandic area generating spikes is hyperexcitable, and that rolandic spikes propagate across the central area. However, the pattern of rolandic spike propagation and how the dipolar distribution of the spikes is related to the propagation pattern have not yet been studied. Thirty-nine EEGs from 27 patients with benign rolandic epilepsy (BRE) were examined. Sequential topographic mapping in 4-ms steps was used to analyze the pattern of spike propagation. The locations of maximum negative foci, the presence and distribution of the dipolar field, and the propagation

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Geneslaw, Andrew S., Mingrui Zhao, Hongtao Ma, and Theodore H. Schwartz. "Tissue hypoxia correlates with intensity of interictal spikes." Journal of Cerebral Blood Flow & Metabolism 31, no. 6 (2011): 1394–402. http://dx.doi.org/10.1038/jcbfm.2011.16.

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Interictal spikes (IISs) represent burst firing of a small focal population of hypersynchronous, hyperexcitable cells. Whether cerebral blood flow (CBF) is adequate to meet the metabolic demands of this dramatic increase in membrane excitability is unknown. Positron emission tomography, single photon emission computed tomography, and functional magnetic resonance imaging studies have shown increases in CBF and hypometabolism, thus indicating the likelihood of adequate perfusion. We measured tissue oxygenation and CBF in a rat model of IIS using oxygen electrodes and laser-Doppler flowmetry. A

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Bhuyan, Rimpy, Wasima Jahan, and Narayan Upadhyaya. "Interictal wave pattern study in EEG of epilepsy patients." International Journal of Research in Medical Sciences 5, no. 8 (2017): 3378. http://dx.doi.org/10.18203/2320-6012.ijrms20173526.

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Background: EEG or Electroencephalogram is the most important diagnostic tool to detect Epilepsy. Interictal period is the time interval between two seizure episodes of an Epileptic patient. Certain wave patterns appear in the interictal period in the EEG which might predict the onset of a seizure or may give information about the last seizure attack. The aim of the study was to know how the interictal wave patterns help in diagnosing and classifying Epilepsy casesMethods: The present study was done in the Department of Physiology in association with the Department of Neurology, Assam Medical

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Hughes, John R. "The Significance of the Interictal Spike Discharge." Journal of Clinical Neurophysiology 6, no. 3 (1989): 207–26. http://dx.doi.org/10.1097/00004691-198907000-00001.

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Rodin, Ernst. "The Interictal Spike: What Does it Mean?" Clinical EEG and Neuroscience 40, no. 4 (2009): IV. http://dx.doi.org/10.1177/155005940904000403.

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Adjouadi, M., D. Sanchez, M. Cabrerizo, et al. "Interictal Spike Detection Using the Walsh Transform." IEEE Transactions on Biomedical Engineering 51, no. 5 (2004): 868–72. http://dx.doi.org/10.1109/tbme.2004.826642.

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Stafstrom, Carl E. "Sites of Interictal Spike Generation in Neocortex." Epilepsy Currents 4, no. 3 (2004): 96–97. http://dx.doi.org/10.1111/j.1535-7597.2004.43004.x.

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Tesis sobre el tema "Interictal spike"

Carey, Howard J. III. "EEG Interictal Spike Detection Using Artificial Neural Networks." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4648.

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Epilepsy is a neurological disease causing seizures in its victims and affects approximately 50 million people worldwide. Successful treatment is dependent upon correct identification of the origin of the seizures within the brain. To achieve this, electroencephalograms (EEGs) are used to measure a patient’s brainwaves. This EEG data must be manually analyzed to identify interictal spikes that emanate from the afflicted region of the brain. This process can take a neurologist more than a week and a half per patient. This thesis presents a method to extract and process the interictal spikes in

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Guo, Lilin. "A Biologically Plausible Supervised Learning Method for Spiking Neurons with Real-world Applications." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2982.

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Learning is central to infusing intelligence to any biologically inspired system. This study introduces a novel Cross-Correlated Delay Shift (CCDS) learning method for spiking neurons with the ability to learn and reproduce arbitrary spike patterns in a supervised fashion with applicability tospatiotemporalinformation encoded at the precise timing of spikes. By integrating the cross-correlated term,axonaland synapse delays, the CCDS rule is proven to be both biologically plausible and computationally efficient. The proposed learning algorithm is evaluated in terms of reliability, adaptive lear

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Bénar, Christian-George. "Combining magnetic resonance imaging and electroencephalography in the investigation of interictal epileptic spikes." Thesis, McGill University, 2004. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84988.

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Interictal spikes are spontaneous neuronal discharges that occur between epileptic seizures, and that constitute a specific marker of epilepsy. The topic of our doctoral research is to localize in a noninvasive manner the regions of the brain responsible for generating the spikes. Such information is of great interest in the presurgical evaluation for pharmacoresistant epilepsy.<br>In this context, we have studied the possibility of using a combination of two techniques, namely electroencephalography (EEG) and magnetic resonance imaging (MRI). Specifically, we have investigated three tr

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Silva, Anderson Brito da. "Revisitando o eletrocorticograma intra-operat?rio na epilepsia mesial do lobo temporal: relev?ncia das oscila??es de alta frequ?ncia." Universidade Federal do Rio Grande do Norte, 2013. http://repositorio.ufrn.br:8080/jspui/handle/123456789/17030.

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Made available in DSpace on 2014-12-17T15:28:53Z (GMT). No. of bitstreams: 1 AndersonBS_DISSERT.pdf: 4240084 bytes, checksum: 0331343a1aab5e54d0d9cb6baeccb72d (MD5) Previous issue date: 2013-12-13<br>Epilepsies are neurological disorders characterized by recurrent and spontaneous seizures due to an abnormal electric activity in a brain network. The mesial temporal lobe epilepsy (MTLE) is the most prevalent type of epilepsy in adulthood, and it occurs frequently in association with hippocampal sclerosis. Unfortunately, not all patients benefit from pharmacological treatment (drug-resistant pa

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Rajaei, Hoda. "Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3882.

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Assessing complex brain activity as a function of the type of epilepsy and in the context of the 3D source of seizure onset remains a critical and challenging endeavor. In this dissertation, we tried to extract the attributes of the epileptic brain by looking at the modular interactions from scalp electroencephalography (EEG). A classification algorithm is proposed for the connectivity-based separation of interictal epileptic EEG from normal. Connectivity patterns of interictal epileptic discharges were investigated in different types of epilepsy, and the relation between patterns and the epil

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Shindo, Katsuro. "Clinical Usefulness of the Dipole Tracing Method for Localizing Interictal Spikes in Partial Epilepsy." Kyoto University, 1999. http://hdl.handle.net/2433/182278.

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Grabowski, Jenny A. Carleton University Dissertation Psychology. "The Effects of picrotoxin, atropine and yohimbine on interictal spikes and postical spikes in SLOW and FAST kindling rat strains." Ottawa, 1996.

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Ramantani, Georgia. "Contribution des sources épileptiques inter-critiques et critiques à l’EEG de scalp." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0034/document.

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Plusieurs études de simulation in vitro et in vivo ont été réalisées au cours des dernières décennies afin de clarifier les interrelations des sources corticales avec leurs corrélats électrophysiologiques enregistrés sur l’EEG invasif et l’EEG de scalp. L’amplitude des potentiels corticaux, l’étendue de l’aire corticale impliquée par la décharge, de même que la localisation et la géométrie de la source corticale sont des facteurs indépendants qui modulent l’observabilité et la contribution de ces sources sur l’EEG de surface. L’enregistrement simultané et multi-échelle de l’EEG de scalp et int

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"On the Dynamics of Epileptic Spikes and Focus Localization in Temporal Lobe Epilepsy." Doctoral diss., 2012. http://hdl.handle.net/2286/R.I.14811.

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abstract: Interictal spikes, together with seizures, have been recognized as the two hallmarks of epilepsy, a brain disorder that 1% of the world's population suffers from. Even though the presence of spikes in brain's electromagnetic activity has diagnostic value, their dynamics are still elusive. It was an objective of this dissertation to formulate a mathematical framework within which the dynamics of interictal spikes could be thoroughly investigated. A new epileptic spike detection algorithm was developed by employing data adaptive morphological filters. The performance of the spike detec

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Capítulos de libros sobre el tema "Interictal spike"

Bamidis, P. D., E. Hellstrand, and A. A. Ioannides. "Propagation of epileptic activity during single (unaveraged) interictal spikes as studied with Magnetic Field Tomography (MFT)." In Biomag 96. Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1260-7_266.

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"The Interictal-Ictal Continuum, Spike-Wave (SW)." In Atlas of Intensive Care Quantitative EEG. Springer Publishing Company, 2019. http://dx.doi.org/10.1891/9780826193551.0013.

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Bauer, Sebastian, and Felix Rosenow. "The Irritative Zone and Seizure Onset Zone in Subdural EEG." In Invasive Studies of the Human Epileptic Brain, edited by Samden D. Lhatoo, Philippe Kahane, and Hans O. Lüders. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198714668.003.0008.

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Subdural EEG has a high sensitivity for detecting interictal spikes. The irritative zone is usually more extended than the seizure onset zone. Removal of the entire irritative zone improves outcome in extratemporal as well as neocortical and tumour-related temporal lobe epilepsy, but not in mesial TLE. Quantification of spike features like amplitude, frequency, or latency may help differentiate the localizing and prognostic value of different spike populations. Although EEG patterns are not aetiology, some pathologies such as focal cortical dysplasias are frequently associated with typical EEG patterns, in which case intraoperative electrocorticography should be applied to tailor resections. Presence of a focal seizure onset zone and slow propagation are associated with good surgical outcome. Definition of a sound hypothesis about location of the seizure onset zone from pre-invasive findings is a crucial prerequisite for the success of subdural recordings. Concordance of interictal and ictal recordings is highly predictive of outcomes.

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Jeong, Woorim, and Chun Kee Chung. "Use of Multiple Frequency Bands in Magnetoencephalography for Characterization of Epilepsy." In Fifty Years of Magnetoencephalography. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190935689.003.0011.

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For clinical applications in epilepsy, magnetoencephalography (MEG) has been mostly used to localize sources of interictal spike activity using the single equivalent current dipole (ECD) method. Thanks to the advancement of analytical methodology for MEG signals, multiple frequency band signals, especially fast oscillations (>30 Hz), are now being used for localization of ictal and interictal epileptic activity in addition to the ECD method. Moreover, connectivity and network analysis utilizing multiple frequency band MEG signals have recently been adopted in the field of epilepsy. This chapter provides an overview of the clinical applications of multiple frequency band signal analysis in epilepsy for the purpose of localization of epileptiform activity sources and assessment of functional connectivity.

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Noe, Katherine H., and Joseph F. Drazkowski. "Adult EEG." In Clinical Neurophysiology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190259631.003.0006.

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Epileptiform discharges present on routine EEG recordings highly correlate with a tendency for clinical seizures. When present, they can help confirm a diagnosis of epilepsy and classify epilepsy type, localization, and syndrome. EEG’s sensitivity for detecting epileptiform activity depends on many factors, including the site of seizure origin and seizure frequency. Even in persons with known epilepsy, a routine EEG can often be normal; thus a normal interictal EEG should not be used to exclude an epilepsy diagnosis. Misinterpretation or “over-reading” of artifacts and normal background activity on the EEG as epileptiform is common by inexperienced readers. Unfortunately, this can lead to misdiagnosis and inappropriate treatment. The EEG reader should be familiar with the commonly encountered epileptiform patterns of generalized spike and wave, generalized slow spike and wave, generalized paroxysmal fast activity, focal spike and sharp waves, and temporal intermittent rhythmic delta activity.

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Rampp, Stefan, and Martin Kaltenhäuser. "Epileptic Slow Wave Activity." In Fifty Years of Magnetoencephalography. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190935689.003.0014.

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In recent years, novel markers for the epileptic network beyond interictal spikes and ictal seizure correlates have been described. Slow activity in theta, delta, and lower frequency ranges have been detected using invasive electroencephalography (EEG) and noninvasive magnetoencephalography (MEG)/EEG. While such activity also occurs that is associated, for example, with large lesions and after intracranial surgery, certain subtypes may be used to localize the epileptic network. This chapter provides an overview of MEG slow frequency markers in patients with focal epilepsy. It covers the application of slow activity–based focus localization in patients undergoing workup for epilepsy surgery and discusses the relation to conventional spike-based analysis as well as the potential value of slow activity analysis in patients with previous surgery and persisting or recurring seizures.

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Bartolomei, Fabrice. "The Irritative, Epileptogenic, and Ictal Onset Zones in Depth EEG." In Invasive Studies of the Human Epileptic Brain, edited by Samden D. Lhatoo, Philippe Kahane, and Hans O. Lüders. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198714668.003.0009.

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‘Irritative, epileptogenic, and ictal onset zones in depth EEG’ reviews the three classical brain regions that are to be defined by epileptologists during invasive EEG recordings. It first reviews the concept of the epileptogenic zone (EZ) and the different historical definitions and then the patterns of ictal onset observed from depth EEG recordings. It then discusses the concept of irritative zone, which is related to the interictal spike distribution, and its relationship with the EZ. Finally, the concept of ‘epileptogenic networks’ is developed, offering a modern framework for the functional anatomy of focal epilepsies.

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Grant, Gerry. "Mesial Temporal Glioma." In Pediatric Neurosurgery. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190617073.003.0022.

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A patient with classic temporal lobe seizure semiology may present with aura, automatisms, and dystonic posturing. Video-electroencephalography (EEG) may identify the ictal onset and magnetoencephalography may further elucidate the anatomy of a temporal lobe abnormality, EEG dipoles, epileptogenic spike sources, and eloquent areas of language or motor function. Structural imaging of the temporal lobe with magnet resonance imaging (MRI) should also be obtained, as well as functional and metabolic imaging such as a subtraction single-photon emission computed tomography (SPECT) and interictal positron emission tomography (PET). Early surgery should be considered in pediatric patients for seizure control, to minimize the adverse effects of anti-epileptic drugs, maximize the child’s developmental potential, and reduce behavioral, cognitive and psychosocial problems. Intraoperative stereotactic navigation and electrocorticography (ECoG) can guide resection. Careful pre-operative planning for correct extent of surgery is key to the best possible seizure outcome.

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Flink, R., S. Homma, A. Kanamaru, K. Miyamoto, and Y. Okamoto. "Chapter 40 Source localization of interictal epileptiform spike potentials estimated with a dipole tracing method using surface and subdural EEG recordings." In Clinical Neurophysiology at the Beginning of the 21st Century, 11th International Congress of Electromyography and Clinical Neurophysiology. Elsevier, 2000. http://dx.doi.org/10.1016/s1567-424x(09)70171-0.

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Palmini, André, and Eliseu Paglioli. "The Irritative Zone and Seizure Onset Zone in Acute ECOG: The Quest for Relevant Epileptogenic Tissue." In Invasive Studies of the Human Epileptic Brain, edited by Samden D. Lhatoo, Philippe Kahane, and Hans O. Lüders. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198714668.003.0010.

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Acute intraoperative electrocorticography (ECoG) is a time-honoured technique to identify the relevant epileptogenic tissue (RET) and hence guide cortical resection to control medically refractory seizures. ECoG identifies the RET through careful analysis of pattern, morphology, frequency, and localization of interictal spikes recorded directly from the exposed cortical surface. Because the development and dissemination of chronic intracranial EEG recording techniques has put emphasis on ictal recordings (thus defining an ictal onset zone), acute ECoG is often considered unnecessary in surgical planning. The chapter describes limitations and advantages of acute ECoG to define the RET in comparison with more costly and risky procedures, particularly subdural grid and SEEG recording. Specifically, it shows how the integration of lesion type and sequentially recorded ECoG spikes during operation may provide a highly cost-effective approach to successful epilepsy surgery.

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Actas de conferencias sobre el tema "Interictal spike"

El-Gohary, Mahmoud, James McNames, and Siegward Elsas. "User-guided interictal spike detection." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4649280.

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Horak, Peter C., Stephen Meisenhelter, Markus E. Testorf, Andrew C. Connolly, Kathryn A. Davis, and Barbara C. Jobst. "Implementation and evaluation of an interictal spike detector." In SPIE Optical Engineering + Applications, edited by Philip J. Bones, Michael A. Fiddy, and Rick P. Millane. SPIE, 2015. http://dx.doi.org/10.1117/12.2189248.

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Sablok, Shlok, Githali Gururaj, Naushaba Shaikh, I. Shiksha, and Antara Roy Choudhary. "Interictal Spike Detection in EEG using Time Series Classification." In 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2020. http://dx.doi.org/10.1109/iciccs48265.2020.9120928.

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Palepu, A., S. Premanathan, F. Azhar, et al. "Automating Interictal Spike Detection: Revisiting A Simple Threshold Rule." 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.2018.8512244.

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Gunduz, Aysegul, Justin C. Sanchez, and Jose C. Principe. "Electrocorticographic interictal spike removal via denoising source separation for improved neuroprosthesis control." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650392.

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Prasanth, Thangavel, John Thomas, R. Yuvaraj, et al. "Deep Learning for Interictal Epileptiform Spike Detection from scalp EEG frequency sub bands." In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society. IEEE, 2020. http://dx.doi.org/10.1109/embc44109.2020.9175644.

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Guo, Lilin, Zhenzhong Wang, Mercedes Cabrerizo, and Malek Adjouadi. "Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7590821.

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Guerra, Reynaldo G., Van Carey, Boris Rubinsky, and Mitchel Berger. "Characterization of the Focal Cooling Necessary to Suppress Spontaneous Epileptiform Activity." In ASME/JSME 2007 Thermal Engineering Heat Transfer Summer Conference collocated with the ASME 2007 InterPACK Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ht2007-32034.

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It has been established that focal cooling to suppress epileptiform activity has become a real and viable option. However, the specific thermal parameters necessary to suppress epileptiform activity have only begun to be quantitatively defined. In 2002 it was reported that a 41 year-old man with medically intractable epilepsy undertook surgery to remove his tumor and resect adjacent epileptogenic tissue. Electrocorticography was performed before resection. Cold saline was impinged on the resulting interictal spike foci resulting in transient, complete cessation of spiking. We present a transie

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Huiskamp, G., and Z. Agirre-Arrizubieta. "Interictal ECoG spikes as reflected in MEG." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333922.

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Tana, Maria Gabriella, Anna Maria Bianchi, Paolo Vitali, Flavio Villani, and Sergio Cerutti. "The Haemodynamic Response to the Interictal Epileptic Spikes." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4353519.

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