Relevant bibliographies by topics / Electrocorticographie (ECoG)

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Academic literature on the topic 'Electrocorticographie (ECoG)'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Electrocorticographie (ECoG)"

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Alcaraz, Gabriela, and Pirjo Manninen. "Intraoperative electrocorticography." Journal of Neuroanaesthesiology and Critical Care 04, no. 04 (February 2017): S9—S12. http://dx.doi.org/10.4103/2348-0548.199942.

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AbstractIntraoperative electrocorticography (ECoG) is the recording of electrophysiological activity from electrodes placed directly on the exposed surface of brain, during surgery for epilepsy and tumor resection. The ECoG is helpful in defining the seizure onset and spread within the cortical surface and delineation of the interface between epileptogenic zones and functional cortex substance of the brain. Intraoperative ECoG is an invasive procedure, it is performed during surgery mostly commonly during awake craniotomy but at times during general anaesthesia. As most anesthetic agents will affect ECoG, they should be minimized or stopped prior to any recording. Activation of intraoperative epileptiform activity may also be required if there are no spontaneous discharges. The appropriate management of the anesthetic during the time of ECoG is critical for its success. There are limitations and some controversies to all the uses of intraoperative ECoG, thus each center will set their own indications, criteria, and protocols.
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Van Gompel, Jamie J., Jesus Rubio, Gregory D. Cascino, Gregory A. Worrell, and Fredric B. Meyer. "Electrocorticography-guided resection of temporal cavernoma: is electrocorticography warranted and does it alter the surgical approach?" Journal of Neurosurgery 110, no. 6 (June 2009): 1179–85. http://dx.doi.org/10.3171/2008.10.jns08722.

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Object Cavernous hemangiomas associated with epilepsy present an interesting surgical dilemma in terms of whether one should perform a pure lesionectomy or tailored resection, especially in the temporal lobe given the potential for cognitive damage. This decision is often guided by electrocorticography (ECoG), despite the lack of data regarding its value in cavernoma surgery. The purpose of the present study was several-fold: first, to determine the epilepsy outcome following resection of cavernomas in all brain regions; second, to evaluate the usefulness of ECoG in guiding surgical decision making; and third, to determine the optimum surgical approach for temporal lobe cavernomas. Methods The authors identified from their surgical database 173 patients who had undergone resection of cavernomas. One hundred two of these patients presented with epilepsy, and 61 harbored temporal lobe cavernomas. Preoperatively, all patients were initially evaluated by an epileptologist. The mean follow-up was 37 months. Results Regardless of the cavernoma location, surgery resulted in an excellent seizure control rate: Engel Class I outcome in 88% of patients at 2 years postoperatively. Of 61 patients with temporal lobe cavernomas, the mesial structures were involved in 35. Among the patients with temporal lobe cavernomas, those who underwent ECoG typically had a more extensive parenchymal resection rather than a lesionectomy (p < 0.0001). The use of ECoG in cases of temporal lobe cavernomas resulted in a superior seizure-free outcome: 79% (29 patients) versus 91% (23 patients) of patients at 6 months postresection, 77% (22 patients) versus 90% (20 patients) at 1 year, and 79% (14 patients) versus 83% (18 patients) at 2 years without ECoG versus with ECoG, respectively. Conclusions The surgical removal of cavernomas most often leads to an excellent epilepsy outcome. In cases of temporal lobe cavernomas, the more extensive the ECoG-guided resection, the better the seizure outcome. In addition to upholding the concept of kindling, the data in this study support the use of ECoG in temporal lobe cavernoma surgery in patients presenting with epilepsy.
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Miller, Kai J., Taylor J. Abel, Adam O. Hebb, and Jeffrey G. Ojemann. "Rapid online language mapping with electrocorticography." Journal of Neurosurgery: Pediatrics 7, no. 5 (May 2011): 482–90. http://dx.doi.org/10.3171/2011.2.peds1156.

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Object Emerging research in evoked broadband electrocorticographic (ECoG) measurement from the cortical surface suggests that it might cleanly delineate the functional organization of cortex. The authors sought to demonstrate whether this could be done in a same-session, online manner to identify receptive and expressive language areas. Methods The authors assessed the efficacy of simple integration of “χ-band” (76–200 Hz) change in the ECoG signal by implementing a simple band-pass filter to estimate broadband spectral change. Following a brief (less than 10-second) period to characterize baseline activity, χ-band activity was integrated while 7 epileptic patients with implanted ECoG electrodes performed a verb-generation task. Results While the patients were performing verb-generation or noun-reading tasks, cortical activation was consistently identified in primary mouth motor area, superior temporal gyrus, and Broca and Wernicke association areas. Maps were robust after a mean time of 47seconds (using an “activation overlap” measure). Correlation with electrocortical stimulation was not complete and was stronger for noun reading than verb generation. Conclusions Broadband ECoG changes can be captured online to identify eloquent cortex. This demonstrates the existence of a powerful new tool for functional mapping in the operative and chronic implant setting.
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Arkhipova, N. B., A. Yu Ulitin, M. M. Tastanbekov, and M. V. Aleksandrov. "HIGH-FREQUENCY ELECTROCORTICOGRAPHIC MARKER OF EPILEPTOGENIC ZONE." Translational Medicine 5, no. 6 (February 21, 2019): 23–30. http://dx.doi.org/10.18705/2311-4495-2018-5-6-23-30.

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Background. The search for new markers of the epileptogenic zone (EZ) for the surgical treatment of epilepsy is currently of relevance. Pathological high-frequency oscillations (pHFO) are considered to be a potential marker for EZ. Papers devoted to this topic are few and insufficiently systematized, mostly due to a small quantity of patients.Objective. This study was aimed to determine the diagnostic efficacy of high-frequency electrocorticography (HF ECoG) based on the epilepsy surgery outcomes.Design and methods. This is an original retrospective study of high-frequency bioelectrical activity parameters in 114 patients who underwent surgical treatment in the Polenov Neurosurgical Institute Clinic during 2017–2018. In the subgroup of patients with pharmacoresistant course of structural epilepsy (21 patients) on the preresective electrocorticogram, the pHFO index was higher than in the subgroup with intracerebral neoplasms (11 patients), which may be associated with a longer history and severity of the disease.Results. Through the analysis of the high-frequency component of the post-resective HF ECoG, it was shown that the presence or absence of pHFO in the range of 250–500 Hz does not affect the seizure outcome. The dynamics of the high-frequency activity index before and after the resection are statistically significant for the seizure outcome prediction for structural epilepsy surgery. In this study, the specificity of the pHFO dynamics analysis technique was 85.71 % and sensitivity equaled 58.33 %.Conclusion. Thus, the HF ECoG and the assessment of the dynamics of the pHFO index in the range of 250–500 Hz can complement the traditional method of intraoperative ECoG in the range of up to 70 Hz, including the prediction of the results of surgical treatment.
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Anderson, Nicholas R., Tim Blakely, Gerwin Schalk, Eric C. Leuthardt, and Daniel W. Moran. "Electrocorticographic (ECoG) correlates of human arm movements." Experimental Brain Research 223, no. 1 (September 22, 2012): 1–10. http://dx.doi.org/10.1007/s00221-012-3226-1.

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Miller, Kai J., Dora Hermes, and Nathan P. Staff. "The current state of electrocorticography-based brain–computer interfaces." Neurosurgical Focus 49, no. 1 (July 2020): E2. http://dx.doi.org/10.3171/2020.4.focus20185.

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Brain–computer interfaces (BCIs) provide a way for the brain to interface directly with a computer. Many different brain signals can be used to control a device, varying in ease of recording, reliability, stability, temporal and spatial resolution, and noise. Electrocorticography (ECoG) electrodes provide a highly reliable signal from the human brain surface, and these signals have been used to decode movements, vision, and speech. ECoG-based BCIs are being developed to provide increased options for treatment and assistive devices for patients who have functional limitations. Decoding ECoG signals in real time provides direct feedback to the patient and can be used to control a cursor on a computer or an exoskeleton. In this review, the authors describe the current state of ECoG-based BCIs that are approaching clinical viability for restoring lost communication and motor function in patients with amyotrophic lateral sclerosis or tetraplegia. These studies provide a proof of principle and the possibility that ECoG-based BCI technology may also be useful in the future for assisting in the cortical rehabilitation of patients who have suffered a stroke.
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Jeong, Ui-Jin, Jungpyo Lee, Namsun Chou, Kanghwan Kim, Hyogeun Shin, Uikyu Chae, Hyun-Yong Yu, and Il-Joo Cho. "A minimally invasive flexible electrode array for simultaneous recording of ECoG signals from multiple brain regions." Lab on a Chip 21, no. 12 (2021): 2383–97. http://dx.doi.org/10.1039/d1lc00117e.

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Reddy, Chandan G., Goutam G. Reddy, Hiroto Kawasaki, Hiroyuki Oya, Lee E. Miller, and Matthew A. Howard. "Decoding movement-related cortical potentials from electrocorticography." Neurosurgical Focus 27, no. 1 (July 2009): E11. http://dx.doi.org/10.3171/2009.4.focus0990.

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Object Control signals for brain-machine interfaces may be obtained from a variety of sources, each with their own relative merits. Electrocorticography (ECoG) provides better spatial and spectral resolution than scalp electroencephalography and does not include the risks attendant upon penetration of the brain parenchyma associated with single and multiunit recordings. For these reasons, subdural electrode recordings have been proposed as useful primary or adjunctive control signals for brain-machine interfaces. The goal of the present study was to determine if 2D control signals could be decoded from ECoG. Methods Six patients undergoing invasive monitoring for medically intractable epilepsy using subdural grid electrodes were asked to perform a motor task involving moving a joystick in 1 of 4 cardinal directions (up, down, left, or right) and a fifth condition (“trigger”). Evoked activity was synchronized to joystick movement and analyzed in the theta, alpha, beta, gamma, and high-gamma frequency bands. Results Movement-related cortical potentials could be accurately differentiated from rest with very high accuracy (83–96%). Further distinguishing the movement direction (up, down, left, or right) could also be resolved with high accuracy (58–86%) using information only from the high-gamma range, whereas distinguishing the trigger condition from the remaining directions provided better accuracy. Conclusions Two-dimensional control signals can be derived from ECoG. Local field potentials as measured by ECoG from subdural grids will be useful as control signals for a brain-machine interface.
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Wray, Carter D., Sharon S. McDaniel, Russell P. Saneto, Edward J. Novotny, and Jeffrey G. Ojemann. "Is postresective intraoperative electrocorticography predictive of seizure outcomes in children?" Journal of Neurosurgery: Pediatrics 9, no. 5 (May 2012): 546–51. http://dx.doi.org/10.3171/2012.1.peds11441.

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Object Intraoperative electrocorticography (ECoG) is commonly used to guide the extent of resection, especially in lesion-associated intractable epilepsy. Interictal epileptiform discharges on postresective ECoG (post-ECoG) have been predictive of seizure recurrence in some studies, particularly in adults undergoing medial temporal lobectomy, frontal lesionectomy, or low-grade glioma resection. The predictive value of postresective discharges in pediatric epilepsy surgery has not been extensively studied. Methods The authors retrospectively examined the charts of all 52 pediatric patients who had undergone surgery with post-ECoG and had more than 1 year of follow-up between October 1, 2003, and October 1, 2009. Results Of the 52 pediatric patients, 37 patients showed residual discharges at the end of their resection and 73% of these patients were seizure free, whereas 15 patients had no residual discharges and 60% of them were seizure-free, which was not significantly different (p = 0.36, chi-square). Conclusions Electrocorticography-guided surgery was associated with excellent postsurgical outcome. Although this sample size was too small to detect a subtle difference, absence of epileptiform discharges on post-ECoG does not appear to predict seizure freedom in all pediatric patients referred for epilepsy surgery. Future studies with larger study samples would be necessary to confirm this finding and determine whether post-ECoG may be useful in some subsets of pediatric epilepsy surgery candidates.
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Shokoueinejad, Mehdi, Dong-Wook Park, Yei Jung, Sarah Brodnick, Joseph Novello, Aaron Dingle, Kyle Swanson, et al. "Progress in the Field of Micro-Electrocorticography." Micromachines 10, no. 1 (January 17, 2019): 62. http://dx.doi.org/10.3390/mi10010062.

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Since the 1940s electrocorticography (ECoG) devices and, more recently, in the last decade, micro-electrocorticography (µECoG) cortical electrode arrays were used for a wide set of experimental and clinical applications, such as epilepsy localization and brain–computer interface (BCI) technologies. Miniaturized implantable µECoG devices have the advantage of providing greater-density neural signal acquisition and stimulation capabilities in a minimally invasive fashion. An increased spatial resolution of the µECoG array will be useful for greater specificity diagnosis and treatment of neuronal diseases and the advancement of basic neuroscience and BCI research. In this review, recent achievements of ECoG and µECoG are discussed. The electrode configurations and varying material choices used to design µECoG arrays are discussed, including advantages and disadvantages of µECoG technology compared to electroencephalography (EEG), ECoG, and intracortical electrode arrays. Electrode materials that are the primary focus include platinum, iridium oxide, poly(3,4-ethylenedioxythiophene) (PEDOT), indium tin oxide (ITO), and graphene. We discuss the biological immune response to µECoG devices compared to other electrode array types, the role of µECoG in clinical pathology, and brain–computer interface technology. The information presented in this review will be helpful to understand the current status, organize available knowledge, and guide future clinical and research applications of µECoG technologies.
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Dissertations / Theses on the topic "Electrocorticographie (ECoG)"

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Manoochehri, Mana. "Enregistrement simultané par EEG haute résolution et signal optique rapide (fast NIRS) chez l'enfant épileptique." Thesis, Amiens, 2017. http://www.theses.fr/2017AMIE0034.

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Les pointes épileptiques intercritiques (IES) représentent une signature neuronale de l'activation transitoire hypersynchrone et excessive d'un grand ensemble de neurones corticaux hétérogènes. Elles sont considérées comme la signature de l’épileptogénicité du réseau neuronal sous-jacent. Dans cette étude, des changements sur la configuration neurale ont été observés chez des modèles animaux et humains au cours de l'IES. Pour la première fois, ces changements ont été détectés à l'aide de la spectroscopie optique rapide (FOS), qui correspond aux variations de la lumière diffusée par le tissu neural pendant l'activation. Ces chages [i.e. changements] sont associés à des mécanismes cellulaires plutôt qu'à des réponses hémodynamiques à haute résolution spatiale et temporelle. Pour étudier le mécanisme IES, une analyse simultanée multimodale des changements optiques rapides (FOS) et électriques (EEG/ECoG: temps et fréquence) a été développée chez des modèles animaux (15 rats) et humains (IES frontales,3 enfants). Pour évaluer de manière indépendante nos méthodes, un potentiel évoquant somatosensoriel et une réponse optique ont été conçus dans des modèles animaux et humains (5 volontaires sains).Les résultats suggèrent une relation entre la (dé)synchronisation et les changements optiques quel que soit le modèle épileptique. Nous avons démontré que cette approche multimodale non invasive multi-échelles (FOS, ECoG / EEG) permet d'étudier la physiopathologie de l'IES chez les patients et de mieux comprendre les mécanismes qui propulsent les neurones vers l'hypersynchronisation chez les modèles épileptiques humains et animaux
Interictal epileptic spikes (IES) represent a signature of the transient synchronous and excessive discharge of a large ensemble of cortical heterogeneous neurons and are widely accepted diagnostically as a signature of an epileptic underlying network. In this study, changes on neural configuration were observed in an animal and human models during the IES. For the first time, these changes were detected using Fast Optical Spectroscopy (FOS), which correspond to variations of scattered light from neural tissue during activation. These chages [i.e. changes] are associated with cellular mechanisms rather than hemodynamic responses with high spatial and temporal resolution. To investigate IES mechanism, a multimodal simultaneous analysis of the fast optical (FOS) and electrical (EEG/ECoG: time and frequency domain) changes was developed in both animal (15 rats) and human models (frontal IES, 3 children). To independently evaluate our methods, a control somatosensory evoked potential and optical response was designed in both animal and human models (5 healthy volunteers). The results suggest a relationship between (de)synchronization and optical changes whatever the epileptic model. This also proposed that changes in the fast optical signal which reflect changes in membrane configuration, are associated with the complex perturbations of the neuronal activation of the epileptic networks. We demonstrated that this non-invasive multiscale multimodal approach (FOS, ECoG/EEG) is suitable to study the pathophysiology of the IES in patients and shed new light on the mechanisms that propel neurons to the hypersynchronization in both animal and human epileptic models
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JUBIEN, Guillaume. "Decoding Electrocorticography Signals by Deep Learning for Brain-Computer Interface." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-243903.

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Brain-Computer Interface (BCI) offers the opportunity to paralyzed patients to control their movements without any neuromuscular activity. Signal processing of neuronal activity enables to decode movement intentions. Ability for patient to control an effector is closely linked to this decoding performance. In this study, I tackle a recent way to decode neuronal activity: Deep learning. The study is based on public data extracted by Schalk et al. for BCI Competition IV. Electrocorticogram (ECoG) data from three epileptic patients were recorded. During the experiment setup, the team asked subjects to move their fingers and recorded finger movements thanks to a data glove. An artificial neural network (ANN) was built based on a common BCI feature extraction pipeline made of successive convolutional layers. This network firstly mimics a spatial filtering with a spatial reduction of sources. Then, it realizes a time-frequency analysis and performs a log power extraction of the band-pass filtered signals. The first investigation was on the optimization of the network. Then, the same architecture was used on each subject and the decoding performances were computed for a 6-class classification. I especially investigated the spatial and temporal filtering. Finally, a preliminary study was conducted on prediction of finger movement. This study demonstrated that deep learning could be an effective way to decode brain signal. For 6-class classification, results stressed similar performances as traditional decoding algorithm. As spatial or temporal weights after training are slightly described in the literature, we especially worked on interpretation of weights after training. The spatial weight study demonstrated that the network is able to select specific ECoG channels notified in the literature as the most informative. Moreover, the network is able to converge to the same spatial solution, independently to the initialization. Finally, a preliminary study was conducted on prediction of movement position and gives encouraging results.
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Glanz, Olga [Verfasser], Peter [Akademischer Betreuer] Auer, and Tonio [Akademischer Betreuer] Ball. "Investigations into the neural representation of prosodic, lexical, and syntactic properties of spontaneous, natural speech production using electrocorticography (ECoG)." Freiburg : Universität, 2021. http://d-nb.info/1233600052/34.

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Huang, Austin. "Cortical Stimulation Mapping of Heschl’s Gyrus in the Auditory Cortex for Tinnitus Treatment." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cmc_theses/2073.

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Tinnitus is the perception of sound in the absence of an actual sound stimulus. Recent developments have shifted the focus to the central nervous system and the neural correlate of tinnitus. Broadly, tinnitus involves cortical map rearrangement, pathological neural synchrony, and increased spontaneous firing rates. Various cortical regions, such as Heschl’s gyrus in the auditory cortex, have been found to be associated with different aspects of tinnitus, such as perception and loudness. I propose a cortical stimulation mapping study of Heschl’s gyrus using a depth and subdural electrode montage to conduct electrocorticography. This study would provide high-resolution data on abnormal frequency band oscillations characteristic of tinnitus and pinpoint regions where they occur. The validity of the neural synchrony model would also be tested in this study.
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"Electrocorticographic Analysis of Spontaneous Conversation to Localize Receptive and Expressive Language Areas." Master's thesis, 2013. http://hdl.handle.net/2286/R.I.18737.

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abstract: When surgical resection becomes necessary to alleviate a patient's epileptiform activity, that patient is monitored by video synchronized with electrocorticography (ECoG) to determine the type and location of seizure focus. This provides a unique opportunity for researchers to gather neurophysiological data with high temporal and spatial resolution; these data are assessed prior to surgical resection to ensure the preservation of the patient's quality of life, e.g. avoid the removal of brain tissue required for speech processing. Currently considered the "gold standard" for the mapping of cortex, electrical cortical stimulation (ECS) involves the systematic activation of pairs of electrodes to localize functionally specific brain regions. This method has distinct limitations, which often includes pain experienced by the patient. Even in the best cases, the technique suffers from subjective assessments on the parts of both patients and physicians, and high inter- and intra-observer variability. Recent advances have been made as researchers have reported the localization of language areas through several signal processing methodologies, all necessitating patient participation in a controlled experiment. The development of a quantification tool to localize speech areas in which a patient is engaged in an unconstrained interpersonal conversation would eliminate the dependence of biased patient and reviewer input, as well as unnecessary discomfort to the patient. Post-hoc ECoG data were gathered from five patients with intractable epilepsy while each was engaged in a conversation with family members or clinicians. After the data were separated into different speech conditions, the power of each was compared to baseline to determine statistically significant activated electrodes. The results of several analytical methods are presented here. The algorithms did not yield language-specific areas exclusively, as broad activation of statistically significant electrodes was apparent across cortical areas. For one patient, 15 adjacent contacts along superior temporal gyrus (STG) and posterior part of the temporal lobe were determined language-significant through a controlled experiment. The task involved a patient lying in bed listening to repeated words, and yielded statistically significant activations that aligned with those of clinical evaluation. The results of this study do not support the hypothesis that unconstrained conversation may be used to localize areas required for receptive and productive speech, yet suggests a simple listening task may be an adequate alternative to direct cortical stimulation.
Dissertation/Thesis
M.S. Bioengineering 2013
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Syu, Ruei-Syuan, and 許睿軒. "The Design of CMOS Analog Front-End Acquisition Circuits for Electrocorticography (ECoG) and Evoked Compound Action Potential (ECAP) Recording in Implantable Medical Devices." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/xd928n.

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"System Design and Evaluation of a Low Cost Epidural Intracranial Pressure Monitoring System, Integrable with ECoG Electrodes." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.29896.

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abstract: Intracranial pressure is an important parameter to monitor, and elevated intracranial pressure can be life threatening. Elevated intracranial pressure is indicative of distress in the brain attributed by conditions such as aneurysm, traumatic brain injury, brain tumor, hydrocephalus, stroke, or meningitis. Electrocorticography (ECoG) recordings are invaluable in understanding epilepsy and detecting seizure zones. However, ECoG electrodes cause a foreign body mass effect, swelling, and pneumocephaly, which results in elevation of intracranial pressure (ICP). Thus, the aim of this work is to design an intracranial pressure monitoring system that could augment ECoG electrodes. A minimally invasive, low-cost epidural intracranial pressure monitoring system is developed for this purpose, using a commercial pressure transducer available for biomedical applications. The system is composed of a pressure transducer, sensing cup, electronics, and data acquisition system. The pressure transducer is a microelectromechanical system (MEMS)-based die that works on piezoresistive phenomenon with dielectric isolation for direct contact with fluids. The developed system was bench tested and verified in an animal model to confirm the efficacy of the system for intracranial pressure monitoring. The system has a 0.1 mmHg accuracy and a 2% error for the 0-10 mmHg range, with resolution of 0.01 mmHg. This system serves as a minimally invasive (2 mm burr hole) epidural ICP monitor, which could augment existing ECoG electrode arrays, to simultaneously measure intracranial pressure along with the neural signals. This device could also be employed with brain implants that causes elevation in ICP due to tissue - implant interaction often leading to edema. This research explores the concept and feasibility for integrating the sensing component directly on to the ECoG electrode arrays.
Dissertation/Thesis
Masters Thesis Bioengineering 2015
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Bate, Ivânia Patrícia Rijo Trêpo. "Transparent and flexible ECoG electrode arrays of metallic nanostructures for neural recordings." Master's thesis, 2021. http://hdl.handle.net/10362/124847.

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Unraveling the functioning of the brain has been one of the greatest challenges of the scientific community. In order to obtain a full understanding of how neurons - the building blocks of the brain - coordinate their activity, tools capable of monitoring neural dynamics are necessary. It is possible to acquire neural data with high temporal and spatial resolution by placing flexible electrocorticography transparent electrodes over the brain surface, and measuring the electric potential variation while observing neurons activity with functional calcium imaging. In this project, transparent and flexible microelectrode arrays made of patterned metal grids were produced using microfabrication techniques, namely maskless photolithography through direct laser writing, reactive ion etching, and electron beam evaporation of gold. Afterwards, the device was characterized in saline solution and also tested in mice cerebellum. It is here demonstrated that the electrocorticography device is easily reproducible. Patterned metal grids with 1 μm of linewidth and 22 μm of spacing showed an individual sheet resistance of 6 Ω/sq, and a transmittance of 80% at 550 nm. As for the device itself, the microelectrode array has 16 electrodes with 500 μm of diameter distributed over 3 mm. Additionally, an improved mechanical stability, through Parylene-C flexible substrate pre-treatment, and an impedance of 13 kΩ at 1 kHz were attained. In vivo tests also showed the microelectrode array efficiency for its primary goal: recording brain activity. Hence, the presented microelectrode arrays are able to combine the superior temporal resolution of extracellular electrophysiology, offered by these low impedance electrocorticography electrodes, with the spatial resolution provided by functional calcium imaging in association with the transparent electrodes.
Desvendar o funcionamento do cérebro tem sido um dos maiores desafios da comunidade científica. De modo a obter uma compreensão integral de como os neurónios – os principais constituintes do cérebro – coordenam a sua atividade, são necessárias ferramentas capazes de monitorizar a dinâmica neuronal. É possível adquirir dados neuronais com elevada resolução temporal e espacial, colocando elétrodos transparentes de electrocorticografia sobre a superfície cerebral, e medindo a variação do potencial elétrico enquanto se observa a atividade dos neurónios. Neste projeto, matrizes de microeléctrodos transparentes e flexíveis, constituídas por redes de metal padronizadas, foram produzidas utilizando técnicas de microfabricação, designadamente fotolitografia sem máscara através de gravação direta a laser, erosão por iões reativos e deposição de ouro por evaporação assistida por canhão de eletrões. Posteriormente, o dispositivo foi caracterizado em solução salina e testado no cerebelo de ratos. É aqui demonstrado que o aparelho de electrocorticografia é facilmente reprodutível. As redes de metal padronizadas com 1 μm de largura de linha e 22 μm de espaçamento demonstraram uma resistência-folha individual de 6 Ω/sq e uma transmitância de 80% a 550 nm. Quanto ao dispositivo em si, a matriz tem 16 microeléctrodos de 500 μm de diâmetro cada distribuídos ao longo de 3 mm. Adicionalmente, foi obtida uma estabilidade mecânica melhorada, através de um pré-tratamento ao substrato flexível de Parileno-C, e uma impedância de 13 kΩ a 1 kHz. Os testes in vivo também demonstraram a eficácia dos elétrodos no seu objetivo principal: registar a atividade cerebral. Deste modo, o dispositivo apresentado combina a elevada resolução temporal da eletrofisiologia extracelular, oferecida pelos elétrodos de electrocorticografia de baixa impedância, com a resolução espacial fornecida pela imagem funcional de cálcio em conjunto com os elétrodos transparentes.
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Leško, Róbert. "Přínos jednotlivých intraoperačních elektrofyziologických metod u dětských epileptochirurgických pacientů." Doctoral thesis, 2020. http://www.nusl.cz/ntk/nusl-435286.

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Epilepsy, as the most common chronic neurological disease, affects a significant part of population (0.5-1%). Drug resistant epilepsy has a significant negative effect on the quality of life, psychiatric comorbidities, neurocognitive performance and the risk of SUDEP in children. Therefore, resective epilepsy surgery, the only curative treatment of this condition, can fundamentally reverse this unfavorable prognosis. An inevitable prerequisite for a good postoperative result is complete removal of the epileptogenic zone (EC) and preservation of eloquent areas (EC). At present, even with improving and new preoperative non-invasive methods, we don't have an exclusive diagnostic method for theirs delineation. The aim of this PhD study is to assess benefit of individual intraoperative electrophysiological (iEF) methods in pediatric patients with focal intractable epilepsy. The first study evaluates the importance of intraoperative electrocorticography (iECoG) in the localization of EZ. The study proved that iECoG serves as a reliable tool to guide surgical resection and may predict results of epilepsy surgery. iECoG-based modification of surgical plan is not associated with increased risk of significant complications. The second presented study analyzed the contribution of intraoperative electrical...
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Books on the topic "Electrocorticographie (ECoG)"

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Nuwer, Marc R., and Stephan Schuele. Electrocorticography. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0030.

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Electrocorticography (ECoG) is the method of recording electroencephalographic signals directly from surgically exposed cerebral cortex. It detects intraoperatively the cortical regions with substantial epileptiform interictal discharges. Direct cortical stimulation during ECoG provides a method of identifying language, motor, and sensory regions during a craniotomy. Both techniques—the identification of cortex with epileptic activity and cortex with important eloquent functional activity—help determine limits for surgical cortical resection. These are used most commonly during epilepsy and tumor surgery. Anesthetic agents can adversely affect the recording, and ECoG restricts the types of anesthesia that can be used. The amount of spiking from diffuse or remote cortical regions on ECoG can predict the success of postoperative seizure control.
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Book chapters on the topic "Electrocorticographie (ECoG)"

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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, 120–30. 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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Grant, Gerry. "Mesial Temporal Glioma." In Pediatric Neurosurgery, 199–206. 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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Simon Harvey, A. "Invasive EEG in Tuberous Sclerosis." In Invasive Studies of the Human Epileptic Brain, edited by Samden D. Lhatoo, Philippe Kahane, and Hans O. Lüders, 213–34. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198714668.003.0017.

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This chapter reviews the application of intracranial EEG monitoring and cortical stimulation in the surgical treatment of tuberous sclerosis (TS) patients with uncontrolled epilepsy. It begins with a review of issues related to seizure localization and determination of epileptogenic tubers, followed by a review of surgical series in which intraoperative electrocorticography (ECoG) or extraoperative EEG monitoring with subdural or depth electrodes was utilized. Specific interictal and ictal EEG patterns suggesting intrinsic epileptogenicity of tubers are described, and similarities with focal cortical dysplasia are emphasized. The discussion is illustrated with examples of invasive EEG findings in patients with TS, and their relationship to the centre and rims of epileptogenic and non-epileptogenic tubers, and to perituberal and remote cortex. The chapter provides a comprehensive resource that will help epileptologists and neurophysiologists to decide on the need for invasive EEG, and the significance of findings, in TS patients with uncontrolled epilepsy.
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Conference papers on the topic "Electrocorticographie (ECoG)"

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Zhuang, Jinda, and Y. Sungtaek Ju. "Deployable MEMS Devices for Minimally Invasive Monitoring of Cortical Activities." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-66662.

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Electrocorticography (ECoG) is a powerful tool for brain activity monitoring with higher spatial resolution and efficacy than noninvasive alternatives such as scalp-based EEG electrodes and NIR spectroscopy. Despite its proven clinical and scientific utility, ECoG has seen rather limited usage due to the invasive nature of electrode placement procedures that involve risky craniotomies (Fig.1 left).
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Wei Wang, A. D. Degenhart, G. P. Sudre, D. A. Pomerleau, and E. C. Tyler-Kabara. "Decoding semantic information from human electrocorticographic (ECoG) signals." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091553.

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Wodlinger, B., A. D. Degenhart, J. L. Collinger, E. C. Tyler-Kabara, and Wei Wang. "The impact of electrode characteristics on electrocorticography (ECoG)." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6090842.

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Mishra, Apurva, Fan Zhang, and Brian P. Otis. "ElectroCorticoGraphy (ECoG) acquisition exploiting signal characteristics for reduced power." In 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2011. http://dx.doi.org/10.1109/biocas.2011.6107721.

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Kimtan, Thaninamon, Jiyaporn Thupmongkol, Justin C. Williams, and Sanitta Thongpang. "Printable and transparent micro-electrocorticography (μECoG) for optogenetic applications." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6943633.

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Blakely, Timothy, Kai J. Miller, Rajesh P. N. Rao, Mark D. Holmes, and Jeffrey G. Ojemann. "Localization and classification of phonemes using high spatial resolution electrocorticography (ECoG) grids." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650328.

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Burns, Samuel P., Sabato Santaniello, William S. Anderson, and Sridevi V. Sarma. "State Dynamics of the Epileptic Brain." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3708.

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Communication between specialized regions of the brain is a dynamic process allowing for different connections to accomplish different tasks. While the content of interregional communication is complex, the pattern of connectivity (i.e., which regions communicate) may lie in a lower dimensional state-space. In epilepsy, seizures elicit changes in connectivity, whose patterns shed insight into the nature of seizures and the seizure focus. We investigated connectivity in 3 patients by applying network-based analysis on multi-day subdural electrocorticographic recordings (ECoG). We found that (i) the network connectivity defines a finite set of brain states, (ii) seizures are characterized by a consistent progression of states, and (iii) the focus is isolated from surrounding regions at the seizure onset and becomes most connected in the network towards seizure termination. Our results suggest that a finite-dimensional state-space model may characterize the dynamics of the epileptic brain, and may ultimately be used to localize seizure foci.
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Afshar, Pedram, Daniel Moran, Adam Rouse, Xuan Wei, and Tim Denison. "Validation of chronic implantable neural sensing technology using electrocorticographic (ECoG) based brain machine interfaces." In 5th International IEEE/EMBS Conference on Neural Engineering (NER 2011). IEEE, 2011. http://dx.doi.org/10.1109/ner.2011.5910645.

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Kumano, Saya, Takashi Saito, and Kenyu Uehara. "Influence of Brain Cooling on Frequency Characteristics of the Epileptic Focus and its Surrounding Area." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87288.

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In this study, we examined the suppression effect of brain cooling on the epileptic focus and surrounding area. An epileptic seizure was induced in rats to obtain electrocorticography (ECoG) data when brain cooling was performed on the epileptic focus and its surroundings. Then, the frequency response characteristics were calculated by applying fast Fourier transform (FFT) and band pass filter to the obtained multichannel brain wave data. At this time, the frequency band calculated by the band pass filter was α waves (8.0–13.0Hz) and β waves (13.0–30.0 Hz) which were remarkably observed in epileptic seizure in the previous study, the analysis window of FFT was 4.095 seconds, and the overlap was 75%. As a result of comparing the calculated frequency responses for each rat, it was found that at the site where epileptic seizures were observed, power was reduced by cooling and suppressing effect was observed, whereas at the same time, the power increased at the site a few millimeters adjacent to the seizure site. This result suggests that epileptic waves suppressed by brain cooling might propagate to the surrounding area by a few millimeters.
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Lun-De Liao, Meng-Lin Li, Hsin-Yi Lai, You-Yin Chen, and Nitish V. Thakor. "Study of neurovascular coupling functions for transient focal cerebral ischemia in rats using electrocorticography functional photoacoustic microscopy (ECoG-fPAM)." In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2013. http://dx.doi.org/10.1109/embc.2013.6609871.

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