Introduction: Neurological diseases are much often due to our stressed daily life, and epilepsy is considered as a second cause of hospitalization in neurological illness. It about 30% epileptic cases where medicine would not stop or control seizure; hence, surgical intervention required delineate abnormal hyperexcitable cortical tissue. Defining these epileptogenic zones challenge that require...

Epilepsy, characterized by spontaneous recurrent seizures (SRS), is a serious and common neurological disorder afflicting an estimated 1% of the population worldwide. Animal experiments, especially those utilizing small laboratory rodents, remain essential to understanding the fundamental mechanisms underlying epilepsy and to prevent, diagnose, and treat this disease. While much attention has b...

In addition to causing polymalformative syndrome, 22q11.2 deletion can lead to various neuropsychiatric disorders including mental retardation, psychosis, and epilepsy. However, few reports regarding epilepsy-related psychosis in 22q11.2 deletion syndrome (22q11.2DS) exist. We describe the clinical characteristics and course of 22q11.2DS in a Japanese patient with comorbid mild mental retardati...

Epilepsy is associated with a higher rate of premature death than the general population, and the commonest cause of epilepsy mortality is sudden unexpected death in epilepsy (SUDEP). It is difficult to quantify because of the variable reporting of this cause of death. Death occurs due to autonomic deregulation of cardio-respiratory pathways as a result of seizures. Measures to reduce cardio-re...

Epilepsy is a brain dysfunction that is characterized by recurrent seizures. An important analysing tool in detection of epilepsy is Electroencephalogram (EEG). The random and non-linear nature of the EEG imposes great difficulty in understanding the pathological process. In this work a multichannel epilepsy detection system is proposed. A feature vector is formed by performing Higher Order Sta...

Epilepsy is the only neurological condition for which electroencephalography (EEG) primary diagnostic and important prognostic clinical tool. However, manual inspection of EEG signals a time-consuming procedure neurologists. Thus, intense research has been made on creating machine learning methodologies automated epilepsy detection. Also, many or medical facilities have published databases epil...

OBJECTIVES This study aimed to investigate mirtazapine-induced changes in responsive neurostimulator (RNS) recordings in a patient with epilepsy. MATERIALS AND METHODS Cortical detection/stimulation counts from an RNS implanted in a patient with bitemporal epilepsy were matched to mirtazapine use to see if that drug altered hippocampal excitability. RESULTS Mirtazapine decreased hippocampal...

PURPOSE Heart rate-based seizure detection is a viable complement or alternative to ECoG/EEG. This study investigates the role of various biological factors on the probability of clinical seizure detection using heart rate. METHODS Regression models were applied to 266 clinical seizures recorded from 72 subjects to investigate if factors such as age, gender, years with epilepsy, etiology, sei...

introduction: temporal lobe epilepsy (tle) is the most common and drug resistant epilepsy in adults. due to behavioral, morphologic and electrographic similarities, pilocarpine model of epilepsy best resembles tle. this study was aimed at determination of the changes in electroencephalogram (eeg) sub-bands amplitude during focal seizures in the pilocarpine model of epilepsy. analysis of these c...

Introduction: Temporal lobe epilepsy (TLE) is the most common and drug resistant epilepsy in adults. Due to behavioral, morphologic and electrographic similarities, pilocarpine model of epilepsy best resembles TLE. This study was aimed at determination of the changes in electroencephalogram (EEG) sub-bands amplitude during focal seizures in the pilocarpine model of epilepsy. Analysis of thes...