Technical note: Movement-related artifacts in local field potential signals may influence adaptive deep brain stimulation

Brain stimulation 2026 Open access

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Authors: Deborah Hubers, B.S. Doelkahar, B.J. Keulen, M.J. Stam, M.G.J. de Neeling, B.C.M. van Wijk, P. Richard Schuurman, R.M.A. de Bie, Martijn Beudel
DOI: 10.1016/j.brs.2026.103027
Cited by: 2
References: 7

Abstract

Adaptive deep brain stimulation (aDBS) is an emerging approach to improve upon continuous DBS (cDBS) for Parkinson’s disease that adjusts stimulation in real time based on neurophysiological feedback, such as local field potentials (LFPs) recorded from the subthalamic nucleus (STN).[1] The amplitude of STN-LFP beta-band oscillations (13-30 Hz) correlates with motor state [2] and is currently the predominantly used feedback signal for controlling stimulation. While aDBS has shown to improve motor outcomes and reduce side effects compared to cDBS, efficacy varies among patients, and LFP signal quality remains uncertain.

Fields of Study & Subjects

Neurological disorders and treatments EEG and Brain-Computer Interfaces Transcranial Magnetic Stimulation Studies

Publication details

Journal / source
Brain stimulation
Publisher
Elsevier BV
Volume
19
Issue
2
Pages
103027–103027
Publication date
18 January 2026
Language
EN