The present state of knowledge of physiological mechanisms underlying nonepileptiform EEG abnormalities is reviewed to clarify the correlation between EEG and neuroimaging. Focal and widespread slow waves, background abnormalities, and bursts of rhythmic slow activity are discussed. EEG phenomena were correlated with lesion size, location, type (white matter vs. gray matter, high density vs. lo...

The EEG state classifier distinguishes different states and these information are used to understand the normal and abnormal states of users and to adapt their interfaces and add new functionalities. EEG classification is performed conventionally by extracting statistical parameters. But, this classification is affected more by artifacts and hence a better approach using image based is proposed...

We describe a female insulinoma patient who presented with recurrent attacks of abnormal behavior, confusion, and seizure. Her interictal EEG showed epileptiform discharges on the left temporal area, therefore she was initially misdiagnosed as temporal lobe epilepsy. In the video-EEG monitoring, hypoglycemic state was detected during the seizure attack, so the right diagnosis was made after the...

Neurological diseases are a significant health threat, often presenting through abnormalities in electroencephalogram (EEG) signals during seizures. In recent years, machine learning (ML) technologies have been explored as means of automated EEG pathology diagnosis. However, existing ML-based binary classification methods largely focus on extracting EEG-related features, which may lead to poor ...

Epilepsy and non-localized brain dysfunction have been invoked, among others, as underlying factors in borderline personality disorder. We have recorded 58 electroencephalograms in 20 borderline patients, first after complete drug washout and then under carbamazepine or placebo double-blind treatment. Taking into account only definite abnormal tracings, we found a 40% incidence of abnormal diff...

BackgroundBilaterally absent pupillary light reflexes (PLR) or N20 waves of short-latency evoked potentials (SSEPs) are recommended by the 2015 ERC-ESICM guidelines as robust, first-line predictors poor neurological outcome after cardiac arrest. However, recent evidence shows that false positive rates (FPRs) these tests may be higher than previously reported. We investigated if testing accuracy...

The development of a central hearing impairment is described in a young girl with risk factors for hearing impairment that included mosaic Down syndrome, leukemia, and chemotherapy. This case is unusual in the prospective regularity with which hearing was assessed from birth. The diagnosis is electrical status epilepticus in slow wave sleep, a rare childhood disorder, which was associated with ...

In vivo observation of the ictal events are thought to help understanding the etiology and pathology in both epilepsy and migraine. While simultaneous recording of EEG and fMRI is actively conducted for the former, in some cases, epileptogenic activity is undetectable by EEG. Attempts to detect such abnormal brain activity by using fMRI are underway. Analysis methods for resting-state fMRI can ...

PURPOSE The role of EEG after a first seizure has been debated. Epileptiform EEG activity is a good predictor of seizure recurrence, but is reported in only 8-50% of first-seizure adult patients. Even if the EEG is abnormal, the opinions about treatment after a first seizure differ. The role of EEG in treatment decisions after remission or recurrence is also unclear. This study aims to identify...