View clinical trials related to Electroencephalogram.
Filter by:The purpose of this study is to explore characteristic changes of EEG epileptiform discharges in patients under CPB and correlation with POD
Parkinson's disease (PD) is a progressive and disabling neurodegenerative disease, clinically characterized by motor and non-motor symptoms. The potential of the "Transcranial direct current stimulation" (tDCS) for symptomatic improvement in these patients has been demonstrated, but the factors associated with the best therapeutic response are not known. The electroencephalogram (EEG) is considered as a diagnostic and prognostic biomarker of PD, and has been used in recent studies associated with machine-learning methods to identify predictors of responses in neurological and psychiatric conditions. Using connectivity-based prediction and machine-learning, the investigators intend to identify and compare characteristics related to baseline resting EEG between PD responders and non-responders to tDCS treatment. The recruited participants will be randomized to treatment with active tDCS associated with dual-task motor therapy or motor therapy with visual cues. A resting-state electroencephalography (EEG) will be recorded prior to the start of the treatment. The investigators will determine clinical improvement labels used for machine learning classification, in baseline and posttreatment assessments and will use three different methods to categorize the data into two classes (low or high improvement): Support Vector Machine (SVM), Linear Discriminant Analysis (LDA) and Extreme Learning Machine (ELM). The functional label will be based on the Timed Up and Go Test recorded at baseline and posttreament of tDCS treatment.
Sedation of severe COVID-19 disease are often complicated. We try to find a correlate for this observation by encephalographic studies.
Alzheimer's disease (AD) is the most common form of neurodegenerative disorders leading to dementia. Currently, there has been no effective pharmacologic therapy for this disease. Electroencephalogram-based neurofeedback is considered as a potentially treatment strategy. In this project, the investigators aim to investigate the effectiveness of neurofeedback therapy on cognition for individuals with subjective cognitive decline (SCD). Participants will receive electroencephalogram-based neurofeedback therapy once a day for successive five days. Then, the investigators will evaluate the changes of memory function between baseline and post-therapy visits.
Delirium is an acute onset of attentional and cognitive impairment. BIS guided anesthesia can reduce the incidence of postoperative delirium. Long term electroencephalogram (EEG) suppression during operation is related to postoperative delirium. The latest research shows that the anesthesia depth guided by EEG does not reduce the incidence of postoperative delirium. The purpose of this study was to explore the relationship between anesthesia exposure with different minimum alveolar concentration(MAC) and postoperative delirium(POD), and to observe the characteristics of EEG.
Music has been consistently shown magic power in brain plasticity. Several study proved music can influence electronic activity of preterm infants' brain, while none study covered region oxygen metabolic. The investigators aim to discover the effects of music therapy on near-infrared spectroscopy and electroencephalogram in premature infants.
The electroencephalography (EEG) is a noninvasive medical technique for monitoring and recording the electrical activity of brain. The Hilbert-Huang Transformation (HHT) was proposed to decompose EEG signal into intrinsic mode functions (IMF). HHT can obtain instantaneous frequency data and work well for nonstationary and nonlinear data. We applied this method in perioperative EEG signal analysis in order to find the energy shift and quantify the energy change during general anesthesia. Ketamine was a depolarized sedative which was wildly used in anesthesia. We are trying to find the energy change after ketamine injection, and the interaction between different oscillations in EEG. The whole brain mapping for ketamine and other sedatives interaction is the next step.
Knowledge of the basic fundamental skills of electroencephalography would enable medical and nursing staffs to provide efficient and effective bedside EEG monitoring in critically ill patients. The aim of this study is to evaluate the ability of a 10-points EEG teaching program to allow bedside caregivers (medical and nursing intensive care unit staff) interpreting EEG in the critical care setting.
This study aims to determine the safety and effectiveness of oral melatonin as natural inducer of sleep to acquire useful EEGs in South African children following its introduction as the main agent used in the Neurophysiology department at Red Cross Children's Hospital. This is an observational retrospective study.