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  Neuronal biomarkers of Parkinson's disease are present in healthy aging

Zhang, J., Jamshidi Idaji, M., Villringer, A., & Nikulin, V. V. (2021). Neuronal biomarkers of Parkinson's disease are present in healthy aging. NeuroImage, 243: 118512. doi:10.1016/j.neuroimage.2021.118512.

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 Creators:
Zhang, Juanli1, 2, Author
Jamshidi Idaji, Mina1, 3, 4, Author           
Villringer, Arno1, 5, Author           
Nikulin, Vadim V.1, 2, 6, Author           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
3Machine Learning Group, Faculty of Electrical Engineering and Computer Science, TU Berlin, Germany, ou_persistent22              
4International Max Planck Research School on Neuroscience of Communication, Leipzig, Germany, ou_persistent22              
5Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              
6Centre for Cognition and Decision Making, National Research University Higher School of Economics, Moscow, Russia, ou_persistent22              

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Free keywords: Resting state EEG; Healthy aging; Parkinson's disease; PAC; Beta burst
 Abstract: The prevalence of Parkinson's disease (PD) increases with aging and both processes share similar cellular mechanisms and alterations in the dopaminergic system. Yet it remains to be investigated whether aging can also demonstrate electrophysiological neuronal signatures typically associated with PD. Previous work has shown that phase-amplitude coupling (PAC) between the phase of beta oscillations and the amplitude of gamma oscillations as well as beta bursts features can serve as electrophysiological biomarkers for PD. Here we hypothesize that these metrics are also present in apparently healthy elderly subjects. Using resting state multichannel EEG measurements, we show that PAC between beta oscillation and broadband gamma activity (50–150 Hz) is elevated in a group of elderly (59–77 years) compared to young volunteers (20–35 years) without PD. Importantly, the increase of PAC is statistically significant even after ruling out confounds relating to changes in spectral power and non-sinusoidal shape of beta oscillation. Moreover, a trend for a higher percentage of longer beta bursts (> 0.2 s) along with the increase in their incidence rate is also observed for elderly subjects. Using inverse modeling, we further show that elevated PAC and longer beta bursts are most pronounced in the sensorimotor areas. Moreover, we show that PAC and longer beta bursts might reflect distinct mechanisms, since their spatial patterns only partially overlap and the correlation between them is weak. Taken together, our findings provide novel evidence that electrophysiological biomarkers of PD may already occur in apparently healthy elderly subjects. We hypothesize that PAC and beta bursts characteristics in aging might reflect a pre-clinical state of PD and suggest their predictive value to be tested in prospective longitudinal studies.

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Language(s): eng - English
 Dates: 2021-08-102021-08-232021-08-262021-11
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.neuroimage.2021.118512
Other: epub 2021
PMID: 34455060
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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 243 Sequence Number: 118512 Start / End Page: - Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166