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EEG Slowing and Axial Motor Impairment Are Independent Predictors of Cognitive Worsening in a Three-Year Cohort of Patients With Parkinson's Disease

Kozak, Vitalii V. and Chaturvedi, Menorca and Gschwandtner, Ute and Hatz, Florian and Meyer, Antonia and Roth, Volker and Fuhr, Peter. (2020) EEG Slowing and Axial Motor Impairment Are Independent Predictors of Cognitive Worsening in a Three-Year Cohort of Patients With Parkinson's Disease. Frontiers in Aging Neuroscience, 12. p. 171.

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Official URL: https://edoc.unibas.ch/81736/

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Abstract

Objective:; We aimed to determine whether the combination of two parameters: (a) score of axial impairment and limb rigidity (SAILR) with (b) EEG global relative median power in the frequency range theta 4-8 Hz (GRMPT) predicted cognitive outcome in patients with Parkinson's disease (PD) better than each of these measures alone.; Methods:; 47 non-demented patients with PD were examined and re-examined after 3 years. At both time-points, the patients underwent a comprehensive neuropsychological and neurological assessment and EEG in eyes-closed resting-state condition. The results of cognitive tests were normalized and individually summarized to obtain a "global cognitive score" (GCS). Change of GCS was used to represent cognitive changes over time. GRMPT and SAILR was used for further analysis. Linear regression models were calculated.; Results:; GRMPT and SAILR independently predicted cognitive change. Combination of GRMPT and SAILR improved the significance of the regression model as compared to using each of these measures alone. GRMPT and SAILR only slightly correlate between each other.; Conclusion:; The combination of axial signs and rigidity with quantitative EEG improves early identification of patients with PD prone to severe cognitive decline. GRMPT and SAILR seem to reflect different disease mechanisms.; Significance; Combination of EEG and axial motor impairment assessment may be a valuable marker in the cognitive prognosis of PD.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenanalyse (Roth)
UniBasel Contributors:Roth, Volker and Chaturvedi, Menorca and Gschwandtner, Ute and Hatz, Florian and Meyer, Antonia and Fuhr, Peter
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Frontiers Media
e-ISSN:1663-4365
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:12 Apr 2021 12:57
Deposited On:12 Apr 2021 12:57

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