% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Feldmann:164058,
author = {Feldmann, Lucia K and Lofredi, Roxanne and Neumann,
Wolf-Julian and Al-Fatly, Bassam and Roediger, Jan and
Bahners, Bahne H and Nikolov, Petyo and Denison, Timothy and
Saryyeva, Assel and Krauss, Joachim K and Faust, Katharina
and Florin, Esther and Schnitzler, Alfons and Schneider,
Gerd-Helge and Kühn, Andrea A},
title = {{T}oward therapeutic electrophysiology: beta-band
suppression as a biomarker in chronic local field potential
recordings.},
journal = {npj Parkinson's Disease},
volume = {8},
number = {1},
issn = {2373-8057},
address = {London [u.a.]},
publisher = {Nature Publ. Group},
reportid = {DZNE-2022-00721},
pages = {44},
year = {2022},
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.},
cin = {AG Endres},
ddc = {610},
cid = {I:(DE-2719)1811005},
pnm = {353 - Clinical and Health Care Research (POF4-353)},
pid = {G:(DE-HGF)POF4-353},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:35440571},
pmc = {pmc:PMC9018912},
doi = {10.1038/s41531-022-00301-2},
url = {https://pub.dzne.de/record/164058},
}