OBJECTIVE Migraine is a disabling illness that causes absence from school and affects the quality of life. It has been stated that headache may represent an epileptic event. EEG abnormality is a prominent finding in children with migraine. The aim of this study was to evaluate EEG abnormalities in children with migraine. MATERIALS & METHODS Two-hundred twenty-eight children were enrolled into...

There is an increasing interest in applying artificial intelligence techniques to forecast epileptic seizures. In particular, machine learning algorithms could extract nonlinear statistical regularities from electroencephalographic (EEG) time series that can anticipate abnormal brain activity. The recent literature reports promising results seizure detection and prediction tasks using deep meth...

The association between abnormal Dexamethasone Suppression Test (DST) and sleep electroencephalographic (EEG) findings and depressives’ response to active drug treatment is equivocal. Recently, however, investigators have attempted to determine the relationship between these measures and response to somatic versus nonsomatic treatment. Carroll (1985) has reported that DST nonsuppressors are not...

Creutzfeldt-Jakob Disease (CJD) is a rare rapidly progressive neurodegenerative disease. The diagnosis of CJD based on magnetic resonance imaging (MRI) findings, electro-encephalography (EEG), or 14-3-3 protein detection. We report case previously-healthy 72 years old woman, with evidence coronavirus disease 2019 (COVID-19), who complained behavioral changes and dementia. While hospitalization,...

Objective Our objective was to evaluate the incidence of seizures, pattern EEG abnormalities, and localization abnormal discharges in hospitalized patients with COVID-19. Background The COVID-19 epidemic has revealed significant neurological manifestations including de novo seizures who do not have a prior history epilepsy or clear risk factors. center is located Arizona, which early part Janua...

Case presentation: 17-year-old female patient, single child of non-consanguineous healthy parents. The pregnancy and delivery were uneventful. She presented a normal psychomotor development until 4 months age, when she started with epileptic seizures evolved central hypotonia, appendicular hypertonia, dystonia. After, autistic features, stereotypies, lack response to pain, self-harm did not dev...

Epilepsy is a significant neurological disease that occurs due to abnormal activities of particular portion brain neurons. Electroencephalography (EEG) signals are mainly used detect this disease. can be diagnosed automatically by measuring and analyzing the non-linearity non-stationary properties EEG signals. In study, Hilbert Huang Transformation (HHT) proposed extract distinctive features fr...

In this study, it was aimed to find out whether electroencephalographic (EEG) frequency bands can be used distinguish people with obstructive sleep apnea (OSA) from those who do not have it. 11842 different cases taken 121 patients suffering OSA were combined the case study of 30-person control group without apnea. Apneas highlighted at respiration-record channels and EEG records which are conc...

Border zone disorders involve neurological disorders with psychiatric symptoms and signs as well as psychiatric disorders with soft neurological features. This becomes a cause for great diagnostic and therapeutic concerns. We, in this paper, analyzed some of the imitators such as epilepsy, dementia, some forms of encephalitis, and pure psychiatric diseases which produce problems in decision mak...

UNLABELLED Idiopathic generalised epilepsy (IGE) is subdivided into syndromes based on clinical and EEG features. PURPOSE The aim of this study was to characterise all cases of IGE with supportive EEG abnormalities in terms of gender differences, seizure types reported, IGE syndromes, family history of epilepsy and EEG findings. We also calculated the limited duration prevalence of IGE in our...