%0 Journal Article
%A Feldmann, Lucia K
%A Lofredi, Roxanne
%A Neumann, Wolf-Julian
%A Al-Fatly, Bassam
%A Roediger, Jan
%A Bahners, Bahne H
%A Nikolov, Petyo
%A Denison, Timothy
%A Saryyeva, Assel
%A Krauss, Joachim K
%A Faust, Katharina
%A Florin, Esther
%A Schnitzler, Alfons
%A Schneider, Gerd-Helge
%A Kühn, Andrea A
%T Toward therapeutic electrophysiology: beta-band suppression as a biomarker in chronic local field potential recordings.
%J npj Parkinson's Disease
%V 8
%N 1
%@ 2373-8057
%C London [u.a.]
%I Nature Publ. Group
%M DZNE-2022-00721
%P 44
%D 2022
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:35440571
%2 pmc:PMC9018912
%R 10.1038/s41531-022-00301-2
%U https://pub.dzne.de/record/164058