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False positive-false negative CT scan in late epileptic seizure: a meningioma-glioblastoma association.

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A false-negative finding on initial CT is reported in a case of supratentorial glioma. This observation was peculiar because the first CT revealed a meningioma which might initially have been related to the clinical symptoms. The term false positive-false negative CT is proposed. The reasons for

Focal seizures--a false lateralizing sign.

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False localization of seizure activity in the EEG.

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Traditional theories of EEG localization are discussed, along with their limitations and contemporary attempts to minimize false localization. Sources of error include: erratic epileptiform activity, local destruction of generators, evoked responses, and autonomous secondary foci. Several cases are

False positive brain scan associated with febrile convulsions.

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False-positive reports of neonatal seizures on birth certificates.

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THE FOCAL MOTOR SEIZURES AS A FALSE LOCALIZING SIGN.

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[False diagnoses of strokes in emergency departments].

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BACKGROUND Diagnosing a stroke can sometimes be difficult. There are a number of mimic conditions that can lead to false diagnoses. OBJECTIVE To examine false diagnoses of acute stroke. METHODS We reviewed the medical histories with diagnoses of acute stroke -i.e. ischaemic or haemorrhagic stroke

Incidence rates and characteristics of pediatric onset psychogenic nonepileptic (false) seizures.

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Pediatric onset psychogenic nonepileptic seizures (PNES) is a highly disabling disorder and potentially misdiagnosed as epilepsy. Still, knowledge regarding PNES in children and adolescents is limited and data on both incidence and characteristics are scarce. This study investigated

Systematically false positives in early warning signal analysis.

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Many systems in various scientific fields like medicine, ecology, economics or climate science exhibit so-called critical transitions, through which a system abruptly changes from one state to a different state. Typical examples are epileptic seizures, changes in the climate system or catastrophic

Robust Epileptic Seizure Detection on Wearable Systems with Reduced False-Alarm Rate

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Epilepsy affects more than 50 million people and ranks among the most common neurological diseases worldwide. Despite advances in treatment, one-third of patients still suffer from refractory epilepsy. Wearable devices for real-time patient monitoring can potentially improve the quality of life for

Doxylamine toxicity: seizure, rhabdomyolysis and false positive urine drug screen for methadone.

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The present report highlights the possible adverse effects of doxylamine, a common over the counter sleep aid. Doxylamine is an antihistamine that at toxic doses can cause anticholinergic effects, including seizures, rhabdomyolysis and death. The following case describes a patient with doxylamine

Revealing False Positive Features in Epileptic EEG Identification

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Feature selection plays a vital role in the detection and discrimination of epileptic seizures in electroencephalogram (EEG) signals. The state-of-the-art EEG classification techniques commonly entail the extraction of the multiple features that would be fed into classifiers. For some techniques,

Cyanide toxicity from acetonitrile-containing false nail remover.

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A patient presented without symptoms 30 minutes after ingesting acetonitrile, also known as methylacyanide. He had prompt gastric lavage and activated charcoal administration. Hours later, the onset of clinical toxicity was heralded by mental status abnormalities and vomiting prior to a generalized

False lateralization of seizure onset by scalp EEG in neocortical temporal lobe epilepsy.

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False lateralization of ictal onset by scalp EEG has been reported in patients with severe hippocampal sclerosis associated with hemispheric lesions or atrophy. There has been no report of cases of false lateralization by scalp EEG in patients without detectable structural abnormalities on MRI, or

Distinguishing false and true positive detections of high frequency oscillations

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Objective: High frequency oscillations (HFOs) are a promising biomarker of tissue that instigates seizures. However, ambiguous data and random background fluctuations can cause any HFO detector (human or automated) to falsely label

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