Document Detail


Investigation of EEG non-linearity in dementia and Parkinson's disease.
MedLine Citation:
PMID:  7489659     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Many recent studies based on the surrogate data method failed to identify significant non-linearity in the EEG. In this study we examine whether the use of a different embedding method (spatial instead of time delay), and calculation of Kolmogorov entropy (K2) and the largest Lyapunov exponent (L1) in addition to the correlation dimension (D2), can distinguish the EEG form linearly filtered noise. We have calculated D2, L1 and K2 of original EEG epochs and surrogate (phase randomized) data in 9 control subjects, 9 demented patients and 13 Parkinson patients. The correlation dimension D2 and the largest Lyapunov exponent L1 could distinguish between the EEG tracings and the surrogate data. Demented patients had significantly lower D2 and L1 compared to controls. L1 was higher in Parkinson patients than in demented patients. Contrary to other studies that have used the Theiler surrogate data method, we find evidence for non-linearity in normal and abnormal EEG during the awake/eyes closed state. Apparently it is the spatial structure in the EEG that exhibits much of the non-linear structure. Furthermore, non-linear EEG measures show more or less specific patterns of dysfunction in dementia and Parkinson's disease.
Authors:
C J Stam; B Jelles; H A Achtereekte; S A Rombouts; J P Slaets; R W Keunen
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Electroencephalography and clinical neurophysiology     Volume:  95     ISSN:  0013-4694     ISO Abbreviation:  Electroencephalogr Clin Neurophysiol     Publication Date:  1995 Nov 
Date Detail:
Created Date:  1996-01-04     Completed Date:  1996-01-04     Revised Date:  2008-09-09    
Medline Journal Info:
Nlm Unique ID:  0375035     Medline TA:  Electroencephalogr Clin Neurophysiol     Country:  IRELAND    
Other Details:
Languages:  eng     Pagination:  309-17     Citation Subset:  IM    
Affiliation:
Department of Neurology and Clinical Neurophysiology, Leyenburg Hospital, The Hague, The Netherlands.
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MeSH Terms
Descriptor/Qualifier:
Aged
Alzheimer Disease / physiopathology
Dementia / physiopathology*
Electroencephalography / statistics & numerical data*
Female
Humans
Linear Models*
Male
Mathematics
Parkinson Disease / physiopathology*
Statistics as Topic

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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