Investigation of non-linear properties of multichannel EEG in the early stages of Parkinson's disease.
Identifieur interne : 000160 ( Ncbi/Merge ); précédent : 000159; suivant : 000161Investigation of non-linear properties of multichannel EEG in the early stages of Parkinson's disease.
Auteurs : L. Pezard [France] ; R. Jech ; E. RůzickaSource :
- Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [ 1388-2457 ] ; 2001.
English descriptors
- KwdEn :
- MESH :
- chemical , therapeutic use : Antiparkinson Agents.
- drug therapy : Parkinson Disease.
- physiopathology : Parkinson Disease.
- psychology : Parkinson Disease.
- Algorithms, Electroencephalography, Entropy, Female, Humans, Male, Middle Aged, Nonlinear Dynamics, Psychiatric Status Rating Scales.
Abstract
Modifications of brain activity in the early stages of Parkinson's disease (PD) are difficult to detect using electroencephalography (EEG) signals and are often biased by L-DOPA treatment. We compare here the performances of both linear and non-linear methods in differentiating EEG of L-DOPA naive PD patients from that of control subjects.
PubMed: 11137659
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pubmed:11137659Le document en format XML
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<author><name sortKey="Pezard, L" sort="Pezard, L" uniqKey="Pezard L" first="L" last="Pezard">L. Pezard</name>
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<country xml:lang="fr">France</country>
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<term>Female</term>
<term>Humans</term>
<term>Male</term>
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<term>Parkinson Disease (physiopathology)</term>
<term>Parkinson Disease (psychology)</term>
<term>Psychiatric Status Rating Scales</term>
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<term>Entropy</term>
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<front><div type="abstract" xml:lang="en">Modifications of brain activity in the early stages of Parkinson's disease (PD) are difficult to detect using electroencephalography (EEG) signals and are often biased by L-DOPA treatment. We compare here the performances of both linear and non-linear methods in differentiating EEG of L-DOPA naive PD patients from that of control subjects.</div>
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<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">11137659</PMID>
<DateCreated><Year>2001</Year>
<Month>01</Month>
<Day>26</Day>
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<Day>22</Day>
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<Month>09</Month>
<Day>10</Day>
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<Article PubModel="Print"><Journal><ISSN IssnType="Print">1388-2457</ISSN>
<JournalIssue CitedMedium="Print"><Volume>112</Volume>
<Issue>1</Issue>
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<Month>Jan</Month>
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<Title>Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology</Title>
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<ArticleTitle>Investigation of non-linear properties of multichannel EEG in the early stages of Parkinson's disease.</ArticleTitle>
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<Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Modifications of brain activity in the early stages of Parkinson's disease (PD) are difficult to detect using electroencephalography (EEG) signals and are often biased by L-DOPA treatment. We compare here the performances of both linear and non-linear methods in differentiating EEG of L-DOPA naive PD patients from that of control subjects.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Resting multichannel EEG (20 electrodes, 30 s epochs) of 9 patients with PD in Hoehn and Yahr stages 1-2 (4 women, 5 men, mean age 54.3 years, range 48-63 years) were compared with those of 9 control subjects (7 women, two men, mean age 51.3 years, range 43-61 years). The following measurements were computed: theta-, alpha- and beta-band relative powers constituted the linear indices; localized entropy, slope asymmetry and number of non-linear EEG segments constituted the non-linear indices.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">In the case of linear quantification, only a decrease in the beta-band was observed for patients. Significant non-linear structures were observed in our EEG data. Non-linear quantifiers demonstrate an increase in entropy and in the number of non-linear EEG segments for the patients.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Changes in EEG dynamics observed here in L-DOPA naive PD patients may represent early signs of cortical dysfunction produced by subcortical dopamine depletion.</AbstractText>
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