Local field potential activity dynamics in response to deep brain stimulation of the subthalamic nucleus in Parkinson's disease

脑深部刺激 局部场电位 丘脑底核 刺激 β节律 神经科学 帕金森病 心理学 医学 脑电图 内科学 疾病
作者
Christoph Wiest,Gerd Tinkhauser,Alek Pogosyan,Manuel Bange,M. Muthuraman,Sergiu Groppa,Fahd Baig,Abteen Mostofi,Erlick Pereira,Huiling Tan,Peter Brown,Flavie Torrecillos
出处
期刊:Neurobiology of Disease [Elsevier BV]
卷期号:143: 105019-105019 被引量:89
标识
DOI:10.1016/j.nbd.2020.105019
摘要

Local field potentials (LFPs) may afford insight into the mechanisms of action of deep brain stimulation (DBS) and potential feedback signals for adaptive DBS. In Parkinson's disease (PD) DBS of the subthalamic nucleus (STN) suppresses spontaneous activity in the beta band and drives evoked resonant neural activity (ERNA). Here, we investigate how STN LFP activities change over time following the onset and offset of DBS. To this end we recorded LFPs from the STN in 14 PD patients during long (mean: 181.2 s) and short (14.2 s) blocks of continuous stimulation at 130 Hz. LFP activities were evaluated in the temporal and spectral domains. During long stimulation blocks, the frequency and amplitude of the ERNA decreased before reaching a steady state after ~70 s. Maximal ERNA amplitudes diminished over repeated stimulation blocks. Upon DBS cessation, the ERNA was revealed as an under-damped oscillation, and was more marked and lasted longer after short duration stimulation blocks. In contrast, activity in the beta band suppressed within 0.5 s of continuous DBS onset and drifted less over time. Spontaneous activity was also suppressed in the low gamma band, suggesting that the effects of high frequency stimulation on spontaneous oscillations may not be selective for pathological beta activity. High frequency oscillations were present in only six STN recordings before stimulation onset and their frequency was depressed by stimulation. The different dynamics of the ERNA and beta activity with stimulation imply different DBS mechanisms and may impact how these activities may be used in adaptive feedback.
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