Journal Article

DZNE-2022-00721

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Toward therapeutic electrophysiology: beta-band suppression as a biomarker in chronic local field potential recordings.

Feldmann, L. K. ; Lofredi, R. ; Neumann, W.-J. ; Al-Fatly, B. ; Roediger, J. ; Bahners, B. H. ; Nikolov, P. ; Denison, T. ; Saryyeva, A. ; Krauss, J. K. ; Faust, K. ; Florin, E. ; Schnitzler, A. ; Schneider, G.-H. ; Kühn, A. A. (Last author)DZNE*

2022
Nature Publ. Group London [u.a.]

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Please use a persistent id in citations: doi:10.1038/s41531-022-00301-2

Abstract: Adaptive deep brain stimulation (aDBS) is a promising concept for feedback-based neurostimulation, with the potential of clinical implementation with the sensing-enabled Percept neurostimulator. We aim to characterize chronic electrophysiological activity during stimulation and to validate beta-band activity as a biomarker for bradykinesia. Subthalamic activity was recorded during stepwise stimulation amplitude increase OFF medication in 10 Parkinson's patients during rest and finger tapping. Offline analysis of wavelet-transformed beta-band activity and assessment of inter-variable relationships in linear mixed effects models were implemented. There was a stepwise suppression of low-beta activity with increasing stimulation intensity (p = 0.002). Low-beta power was negatively correlated with movement speed and predictive for velocity improvements (p < 0.001), stimulation amplitude for beta suppression (p < 0.001). Here, we characterize beta-band modulation as a chronic biomarker for motor performance. Our investigations support the use of electrophysiology in therapy optimization, providing evidence for the use of biomarker analysis for clinical aDBS.

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Contributing Institute(s):

1. Coordinator of Clinical Research (AG Endres)

Research Program(s):

1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2022

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