Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"iEEG"”.
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The negative BOLD response as a marker of the seizure onset zone
… and functional magnetic resonance imaging (iEEG-fMRI) has been proposed as a novel method of identifying the SOZ. However, iEEG-fMRI faces the methodological challenge of artifact introduced from MR scanning which completely obscures the physiological EEG signal. Therefore, the first step …
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Organizace funkčních oblastí mozku u epileptochirurgických pacientů
… ABSTRAKT Intrakraniální elektroencefalografie (iEEG) je jednou z vyšetřovacích metod v rámci přípravy kandidátů chirurgické léčby epilepsie. Tato unikátní metoda měření mozkové aktivity představuje vzhledem ke své vysoké prostorové specificitě, kvalitnímu signálu a vysokému časovému rozlišení …
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Employing Intracranial EEG Data to Decipher Sleep Neural Dynamics
… changes in brainwave patterns. Intracranial EEG (iEEG) is an invasive brain recording technique used in hospital settings in epileptic patients to determine the focus of their seizure activity. The intracranial data recorded allows one to directly observe the neural activity of deep brain …
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Analyzing and Classifying Neural Dynamics from Intracranial Electroencephalography Signals in Brain-Computer Interface Applications
… assess their performance on intracranial EEG (iEEG) data. We first discuss the motor imagery task employed using iEEG signals and find features that clearly distinguish between different classes. Second, we compare the different state-of-the-art classifiers used in EEG BCIs in terms of their …
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Prediction of canine epilepsy
… long term Intracranial Electroencephalographic (iEEG) recordings have tremendously reduced the complications involved in the challenging seizure prediction problem. Data, in the form of iEEG was collected from canines with naturally occurring epilepsy for the analysis and a seizure prediction …
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Investigation of Sleep Neural Dynamics in Intracranial EEG Patients
Intracranial electroencephalography (iEEG) provides superior diagnostic and research benefits over non-invasive EEG in terms of spatial resolution and the level of electrophysiological detail. Post-operative Computed Tomography (CT) scans provide the precision in electrode localization required for …
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Automatic detection of epileptic seizure onset and termination using intracranial EEG
… seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously maximizing sensitivity and minimizing …
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Neural dynamics supporting flexible cognition
… investigations, we use intracranial EEG (iEEG) recordings in humans to study the neural dynamics of flexible cognition during high-order sensory processing. First, we validated assumptions about the locality of iEEG signals and clarified how electrode type, referencing scheme, and filtered …
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Time-resolved Resting-state fMRI of Brain States Associated with Drug-resistant Epilepsy
… resting-state fMRI and intracranial EEG (iEEG), with a focus on the DMN and its interaction with five other major networks. The relationship between the occurrences of iEEG-recorded interictal epileptiform discharges (IEDs) and occupied brain state is examined to better understand how IED …
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Identifying the Seizure Onset Zone using Intracranial EEG-fMRI
… have shown that using intracranial electrodes (iEEG) combined with fMRI offers unique insight into changes in blood oxygen-level dependent (BOLD) responses associated with interictal epileptiform discharges (IEDs). However, the concordance level between SOZ and IED-related BOLD clusters has not …
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Investigation of High Frequency Oscillations in Epilepsy Using Computational Intelligence
… identification of HFOs in massive-volume iEEG datasets. The lack of established criteria for distinguishing pathological HFOs from physiological oscillations also adds to the complexity of the problem. This dissertation aims at the computational analysis of HFOs with specific concerns over …
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Computational Approaches To Epilepsy: Graph Networks For Localization And Multi-Model Approach For Prediction
… the retrospective analysis of intracranial EEG (iEEG) recordings. First, this thesis establishes a generalizable, biomarker-driven framework for identifying the SoZ. It demonstrates that epileptic networks possess common, population-level signatures. By leveraging effective connectivity measures …