Cognitive decline in parkinson’s disease is associated with reduced complexity of EEG at baseline
- Keller, Sebastian M Department of Mathematics and Computer Science, University of Basel, Switzerland
- Gschwandtner, Ute Department of Neurology, University Hospital Basel, Switzerland
- Meyer, Antonia Department of Neurology, University Hospital Basel, Switzerland
- Chaturvedi, Menorca Department of Neurology, University Hospital Basel, Switzerland
- Roth, Volker Department of Mathematics and Computer Science, University of Basel, Switzerland
- Fuhr, Peter Department of Neurology, University Hospital Basel, Switzerland
- 2020-11-27
Published in:
- Brain Communications. - Oxford University Press (OUP). - 2020
English
Abstract
Parkinson's disease is a neurodegenerative disorder requiring motor signs for diagnosis, but showing more widespread pathological alterations from its beginning. Compared to age-matched heathy individuals, patients with Parkinson’s disease bear a six-fold lifetime risk of dementia. For individualized counselling and treatment, prognostic biomarkers for assessing future cognitive deterioration in early stages of Parkinson’s disease are needed.
In a case-control study, 42 cognitively normal patients with Parkinson’s disease were compared with 24 healthy control subjects matched for age, sex, and education. Tsallis entropy and band power of the δ, θ, α, β and γ-band were evaluated in baseline EEG at eyes open and closed condition. As the θ-band showed the most pronounced differences between the Parkinson's disease and healthy control groups, further analysis focused on this band. Tsallis entropy was then compared across groups with 16 psychological test scores at baseline and follow-ups at 6 months and 3 years.
In group comparison, Parkinson's disease subjects showed lower Tsallis entropy than healthy control subjects. Cognitive deterioration at 3 years correlated with Tsallis entropy in the eyes open condition (p < 0.00079), while correlation at 6 months was not yet significant. Tsallis entropy measured in the eyes closed condition did not correlate with cognitive outcome.
In conclusion, the lower the EEG entropy levels at baseline in the eyes open condition, the higher the probability of cognitive decline over 3 years. This makes Tsallis entropy a candidate prognostic biomarker for dementia in Parkinson's disease. The ability of the cortex to execute complex functions underlies cognitive health, while cognitive decline might clinically appear when compensatory capacity is exhausted.
EEG-based Tsallis entropy measures signal complexity of brain rhythms. Low complexity of baseline EEG, measured in eyes open condition, correlates with cognitive decline after 3 years in patients with Parkinson’s disease. Tsallis entropy of EEG is, therefore, a candidate prognostic biomarker for cognition in Parkinson’s disease.
- Language
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- English
- Open access status
- gold
- Identifiers
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- DOI 10.1093/braincomms/fcaa207
- ISSN 2632-1297
- Persistent URL
- https://sonar.ch/global/documents/231631
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