Search for dissertations about: "thesis in neurophysiology and eeg"

Showing result 1 - 5 of 10 swedish dissertations containing the words thesis in neurophysiology and eeg.

2. 1. Effects of Vagus Nerve Stimulation and Ketogenic Diet on Quality of Life and Changes in EEG and Sleep

   Author : Tove Hallböök; Lund Pediatrik; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; vagus nerve stimulation; neuropsykologi; Neurologi; neurophysiology; neuropsychology; Neurology; Medicin människa och djur ; Medicine human and vertebrates ; behaviour; attention; ketogenic diet; delta power; slow wave sleep; REM; mood; sleep; quality of life; EEG; seizure frequency; spike detection; children; neurofysiologi; Pediatri; epilepsy; Pediatrics;

   Abstract : When anti-epileptic drugs fail, and epilepsy surgery is found unfeasible or ineffective, there remains a group of at least 25% of children with epilepsy in whom seizure control cannot be achieved. Vagus nerve stimulation (VNS) is an adjunctive treatment for medically refractory epilepsy. READ MORE

4. 2. Cerebral Injury in Perinatal Asphyxia, epidemiological, clinical, neurophysiological and neuromatabolic investigations

   Author : Kristina Thorngren-Jerneck; Lund Pediatrik; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; neuropsychology; neurophysiology; Neurologi; neuropsykologi; neurofysiologi; Neurology; Pediatri; Pediatrics; S100; EEG; CMRgl; cerebral glucose metabolism; FDG-PET; CP; infant; perinatal asphyxia; hypoxia-ischemia;

   Abstract : Perinatal asphyxia with hypoxic ischemic encephalopathy (HIE) is the most important cause of perinatal mortality and cerebral palsy (CP) in infants born at term. The aim of the thesis was to investigate epidemiology of perinatal asphyxia, and to investigate early clinical neurological symptoms after perinatal asphyxia in relation to cerebral glucose metabolism (CMRgl) measured by 18-FDG-PET, neurophysiological function, some biochemical markers, also in relation to long-term outcome. READ MORE

5. 3. Electroencephalography for neurological prognostication after cardiac arrest

   Author : Erik Westhall; Klinisk neurofysiologi; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; EEG; Interrater variability; Brain injury; Cardiac arrest; Hypothermia; Prognosis; Outcome;

   Abstract : This thesis focuses on the prognostic value of electroencephalography(EEG) in comatose patients resuscitated after cardiac arrest (CA), using both simplified continuous EEG monitoring (cEEG) and routine EEG. Background: Comatose survivors are admitted to an intensive care unit (ICU) to support vital functions. READ MORE

6. 4. The EEG of the Newborn Brain - Detection of Hypoxia and Prediction of Outcome

   Author : Nils Löfgren; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; telemedicine; neonatal; prediction; infraslow EEG; cerebral; entropy; asphyxia; EEG; VLFA; hypoxia; Kolmogorov complexity; qEEG; detection; spectral estimation; newborn;

   Abstract : Brain function requires a continuous flow of oxygen and an insufficient supply (hypoxia) for a few minutes during the first period of life may have severe consequences; consequences which might impact both the life of the individual who has been struck and his or her family. Therefore, there is a need to find a method which can enable the detection of an insufficient oxygen supply at an early stage, before brain damage becomes permanent. READ MORE

7. 5. Prediction of neurological outcome after cardiac arrest and targeted temperature management

   Author : Marion Moseby-Knappe; Lund Neurologi; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; neurological prognostication; brain injury; cardiac arrest; biomarkers; outcome; CT; guideline;

   Abstract : Background: Prediction of neurological outcome in unconscious patients after cardiac arrest (CA) forms the basis for decisions on further level-of-care based on results from clinical neurological examinations, neuroimaging (CT or MRI), neurophysiology (EEG or SSEP) and blood biomarkers of brain injury. Methods must be highly specific to avoid misclassifying patients with possibilities of a good outcome. READ MORE