Exploring the local field potential signal from the subthalamic nucleus for phase-targeted auditory stimulation in Parkinson's disease

• DOI: 10.1016/j.brs.2024.06.007
• Publication Date: 2024-06-19T16:44:37Z
• Authors: Elena Krugliakova; Artyom Karpovich; Lennart Stieglitz; Stephanie Huwiler; Caroline Lustenbe...; Lukas Imbach; Bartosz Bujan; Piotr Jedrysiak; Maria Jacomet; Christian R. Baumann; Sara Fattinger
• Keywords: Subthalamic Nucleus; Local field potential

AbstractBackgroundEnhancing slow waves, the electrophysiological (EEG) manifestation of non-rapid eye movement (NREM) sleep, might offer therapeutic benefits for patients with Parkinson’s disease (PD) by improving sleep quality and slowing disease progression. Phase-targeted auditory stimulation (PTAS) is an approach to enhance slow waves, which are detected in the surface EEG signal in real-time.ObjectiveWe aimed to test whether the local-field potential of the subthalamic nucleus (STN-LFP) can be used to detect frontal slow waves and evaluate the PTAS-related electrophysiologic changes.MethodsWe enrolled patients diagnosed with PD and undergoing Percept™ PC neurostimulator (Medtronic) implantation for the deep brain stimulation of STN (STN-DBS) in a two-step surgery. Patients participated in 3 full-night recordings, including one between-surgeries recording and two recordings during rehabilitation, one with DBS+ (on) and one with DBS-(off). Surface EEG and STN-LFP signals from Percept PC were recorded simultaneously, and PTAS was applied during sleep in all three recording sessions.ResultsOur results show that during NREM sleep, slow waves of the cortex and STN are time-locked. We observed the effects of PTAS in STN-LFP in all types of analyses, including spectral, coherence, and event-related potentials.ConclusionOur findings suggest that PTAS could be implemented using STN-LFP signal for slow wave detection. Additionally, we propose options for better STN-LFP signal preprocessing, including different referencing and filtering that could make the detection of the cortical slow waves in STN-LFP more reliable.