Date: Monday, October 8, 2018
Session Title: Parkinson's Disease: Neuroimaging And Neurophysiology
Session Time: 1:15pm-2:45pm
Location: Hall 3FG
Objective: The current study aims to develop an innovative method for objective differentiation between the locations of the four DBS contacts in the various parts of the STN as a first step towards automated treatment optimization, using a novel EEG-based tool called BNA (Brain Network Activation).
Background: While the positive effects that deep brain stimulation (DBS) of the subthalamic nucleus (STN) exerts on motor functions in patients with Parkinson’s disease (PD) are well known, not all patients respond similarly to the treatment. One plausible explanation is the numerous combinations between the chosen DBS electrode contacts and programming settings that include voltage, pulse width and frequency. Consequently, on average, finding the setting for optimal symptom control requires on average 6 sessions over 6 months.
Methods: 128-channel EEG was recorded from 17 DBS treated PD patients. Low-frequency stimulation at 2-5 Hz was applied to each of the four DBS contacts in the assorted parts of the STN (Zona Incerta,N=23, DLOR,N=23, VMNR,N=19) for several minutes. A total of 2000–2400 EEG epochs, aligned to stimulation onset, were averaged to produce a DBS Evoked Response per DBS contact. The DBS BNA was calculated for a predefined time-window of 50–100 ms after stimulation onset.
Results: The DBS-Evoked Response significantly differentiated between the Zona Incerta contact to the DLOR and VMNR contacts in the medial frontal central scalp area for the amplitude and latency measurements (F=13.1,(****) p<0.0001, 1-way repeated measures ANOVA); (F=9.4,(***) p<0.0003, 1-way repeated measures ANOVA).
Conclusions: We showed that by using scalp EEG we can distinguish between DBS contacts located in the STN area. This novel objective non-invasive measure will potentially transform the time-consuming DBS calibration into a quick and efficient optimization process. This work was presented in abstract form in its original form at the 2nd International Brain Stimulation Conference, March 2017.
To cite this abstract in AMA style:D. Sand, Z. Peremen, D. Haor, S. Israeli-Korn, D. Arkadir, M. Abu Snineh, Z. Israel, S. Hassin-Baer, R. Eitan, H. Bergman, A. Geva. Optimization of deep brain stimulation in STN among patients with Parkinson’s disease using a novel EEG-based tool [abstract]. Mov Disord. 2018; 33 (suppl 2). https://www.mdsabstracts.org/abstract/optimization-of-deep-brain-stimulation-in-stn-among-patients-with-parkinsons-disease-using-a-novel-eeg-based-tool/. Accessed December 7, 2023.
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