Background: Acute transverse myelitis (ATM) in children is a rare and often severe disease for which there are few known prognostic factors, particularly the subsequent risk of multiple sclerosis (MS) diagnosis.
Objectives: To determine the clinical course and prognostic factors after a first episode of ATM in children.
Methods: Thirty children below 16 years of age diagnosed with a first neurological episode of ATM were included retrospectively.
J Clin Neurophysiol
December 2011
This study was designed to evaluate the predictive value of event-related potential (ERP; N2 and P3b) in patients with mild cognitive impairment (MCI). Seventy-one patients with MCI were selected and compared with 31 healthy control subjects. They benefited from an initial assessment that included a neuropsychological evaluation and ERP.
View Article and Find Full Text PDFPurpose: Wolfram syndrome (WS) or diabetes insipidus, diabetes mellitus, optic atrophy, and deafness (DIDMOAD) (OMIM 222300) is an inherited neurodegenerative disease characterized by diabetes mellitus and optic atrophy as the 2 major criteria, followed later in life by deafness, diabetes insipidus, and various signs of neurologic impairment. The presence of a cataract has been variably mentioned in WS.
Method: Two members of a family had thorough ophthalmic examination and their DNA was screened for mutations in mitochondrial DNA, WFS1, OPA1, and OPA3 genes.
Event-related potentials (ERPs) have a large application in the evaluation of cognitive processes, particularly in Alzheimer's disease (AD). The aim of the present study was to evaluate the clinical relevance of event-related evoked potentials (N2 and P3 subcomponents) in early diagnosis of AD and mild cognitive impairment (MCI). We prospectively studied 60 subjects.
View Article and Find Full Text PDFUnlabelled: Prolonged use of sedative drugs frequently leads to oversedation of intensive care patients. Clinical assessment scales are not reliable in deeply sedated patients. Parameters obtained from spectral and bispectral analysis of electroencephalogram (EEG) records have been combined to create an index (BIS) to monitor anesthesia depth.
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