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Levodopa may affect cortical excitability in Parkinson's disease patients with cognitive deficits as revealed by reduced activity of cortical sources of resting state electroencephalographic rhythms

Lookup NU author(s): Dr John-Paul Taylor, Professor Ian McKeith

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Abstract

© 2018 Elsevier Inc. We hypothesized that dopamine neuromodulation might affect cortical excitability in Parkinson's disease (PD) patients set in quiet wakefulness, as revealed by resting state eyes-closed electroencephalographic (rsEEG) rhythms at alpha frequencies (8–12 Hz). Clinical and rsEEG rhythms in PD with dementia (N = 35), PD with mild cognitive impairment (N = 50), PD with normal cognition (N = 35), and normal (N = 50) older adults were available from an international archive. Cortical rsEEG sources were estimated by exact low-resolution brain electromagnetic tomography. Compared with the normal older group, the PD groups showed reduced occipital alpha sources and increased widespread delta (<4 Hz) sources. Widespread frontal and temporal alpha sources exhibited an increase in PD with dementia compared with PD with mild cognitive impairment and PD with normal cognition groups, as function of dopamine depletion severity, typically greater in the former than the latter groups. A daily dose of levodopa induced a widespread reduction in cortical delta and alpha sources in a subgroup of 13 PD patients under standard chronic dopaminergic regimen. In PD patients in quiet wakefulness, alpha cortical source activations may reflect an excitatory effect of dopamine neuromodulation.


Publication metadata

Author(s): Babiloni C, Del Percio C, Lizio R, Noce G, Lopez S, Soricelli A, Ferri R, Pascarelli MT, Catania V, Nobili F, Arnaldi D, Fama F, Orzi F, Buttinelli C, Giubilei F, Bonanni L, Franciotti R, Onofrj M, Stirpe P, Fuhr P, Gschwandtner U, Ransmayr G, Fraioli L, Parnetti L, Farotti L, Pievani M, D'Antonio F, De Lena C, Guntekin B, Hanoglu L, Yener G, Emek-Savas DD, Triggiani AI, Taylor JP, McKeith I, Stocchi F, Vacca L, Frisoni GB, De Pandis MF

Publication type: Article

Publication status: Published

Journal: Neurobiology of Aging

Year: 2019

Volume: 73

Pages: 9-20

Print publication date: 01/01/2019

Online publication date: 30/08/2018

Acceptance date: 08/08/2018

ISSN (print): 0197-4580

ISSN (electronic): 1558-1497

Publisher: Elsevier Inc.

URL: https://doi.org/10.1016/j.neurobiolaging.2018.08.010

DOI: 10.1016/j.neurobiolaging.2018.08.010


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