Journal
CLINICAL NEUROPHYSIOLOGY
Volume 112, Issue 1, Pages 38-45Publisher
ELSEVIER SCI IRELAND LTD
DOI: 10.1016/S1388-2457(00)00512-5
Keywords
Parkinson's disease; EEG; spectral analysis; non-linear dynamics; entropy; surrogate data
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Objectives: 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. 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. 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. Conclusions: Changes in EEG dynamics observed hen in L-DOPA naive PD patients may represent early signs of cortical dysfunction produced by subcortical dopamine depletion. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.
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