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Clinical classification of psychogenic non-epileptic seizures based on video-EEG analysis and automatic clustering.
MedLine Citation:
PMID:  21561887     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Background Psychogenic non-epileptic seizures (PNES) or attacks consist of paroxysmal behavioural changes that resemble an epileptic seizure but are not associated with electrophysiological epileptic changes. They are caused by a psychopathological process and are primarily diagnosed on history and video-EEG. Clinical presentation comprises a wide range of symptoms and signs, which are individually neither totally specific nor sensitive, making positive diagnosis of PNES difficult. Consequently, PNES are often misdiagnosed as epilepsy. The aim of this study was to identify homogeneous groups of PNES based on specific combinations of clinical signs with a view to improving timely diagnosis. Methods The authors first retrospectively analysed 22 clinical signs of 145 PNES recorded by video-EEG in 52 patients and then conducted a multiple correspondence analysis and hierarchical cluster analysis. Results Five clusters of signs were identified and named according to their main clinical features: dystonic attack with primitive gestural activity (31.6%); pauci-kinetic attack with preserved responsiveness (23.4%); pseudosyncope (16.9%); hyperkinetic prolonged attack with hyperventilation and auras (11.7%); axial dystonic prolonged attack (16.4%). When several attacks were recorded in the same patient, they were automatically classified in the same subtype in 61.5% of patients. Conclusion This study proposes an objective clinical classification of PNES based on automatic clustering of clinical signs observed on video-EEG. It also suggests that PNES are stereotyped in the same patient. Application of these findings could help provide an objective diagnosis of patients with PNES.
Authors:
Cécile Hubsch; Cédric Baumann; Coraline Hingray; Nicolaie Gospodaru; Jean-Pierre Vignal; Hervé Vespignani; Louis Maillard
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-5-10
Journal Detail:
Title:  Journal of neurology, neurosurgery, and psychiatry     Volume:  -     ISSN:  1468-330X     ISO Abbreviation:  -     Publication Date:  2011 May 
Date Detail:
Created Date:  2011-5-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985191R     Medline TA:  J Neurol Neurosurg Psychiatry     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Central Hospital of Nancy, Department of Neurology, Nancy Cedex, France.
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