Computer models to inform epilepsy surgery strategies: prediction of postoperative outcome

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Computer models to inform epilepsy surgery strategies: prediction of postoperative outcome

1 College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK 2 Centre for Biomedical Modelling and Analysis, University of Exeter, Exeter, UK 3 EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, UK 4 Support Center for Advanced Neuroimaging (SCAN), University Institute for Diagnostic and Interventional Neuroradiology, University o...

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Postoperative EEG and seizure outcome in temporal lobe epilepsy surgery.

OBJECTIVE To assess the prognostic value of scalp electroencephalogram (EEG) after epilepsy surgery, we investigated whether postoperative EEG abnormalities (interictal epileptiform discharges, IED; interictal slow activity, ISA) were associated with seizure outcome and other patient characteristics after resective surgery in patients with temporal lobe epilepsy (TLE). METHODS Sixty-two patie...

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Functional imaging: II. Prediction of epilepsy surgery outcome.

OBJECTIVE To gain information on the value of magnetic source imaging (MSI), 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (FDG-PET), and ictal single photon emission computed tomography (SPECT) to predict seizure-free outcome following epilepsy surgery in patients who require intracranial electroencephalography (ICEEG). METHODS This work was part of a prospective observation s...

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Base deficit in the immediate postoperative period of open-heart surgery and patient outcome

 Abstarct Background: Base deficit is a non-respiratory indicator of acid base status that evaluates the severity of shock at the cellular level. Base deficit results from cellular metabolism of pyruvate under anaerobic conditions. In this situation, base deficit is a sensitive marker of the magnitude of anaerobic metabolism and tissue oxygen deficit [1]. Several studies have shown a strong pos...

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ژورنال

عنوان ژورنال: Brain

سال: 2017

ISSN: 0006-8950,1460-2156

DOI: 10.1093/brain/awx067