A Real-Time On-Demand Deep Brain Stimulation Device Design and Validation

Author(s):  
Bin Deng ◽  
Xinlei Li ◽  
Siyuan Chang ◽  
Huiyan Li ◽  
Chen Liu ◽  
...  
2012 ◽  
Vol 16 (3) ◽  
pp. 230-235 ◽  
Author(s):  
Takamitsu Yamamoto ◽  
Yoichi Katayama ◽  
Junichi Ushiba ◽  
Hiroko Yoshino ◽  
Toshiki Obuchi ◽  
...  

2018 ◽  
Vol 21 (6) ◽  
pp. 611-616 ◽  
Author(s):  
Daniel Graupe ◽  
Nivedita Khobragade ◽  
Daniela Tuninetti ◽  
Ishita Basu ◽  
Konstantin V. Slavin ◽  
...  

2018 ◽  
Vol 34 (5) ◽  
pp. e2958 ◽  
Author(s):  
Huu Phuoc Bui ◽  
Satyendra Tomar ◽  
Hadrien Courtecuisse ◽  
Michel Audette ◽  
Stéphane Cotin ◽  
...  

2020 ◽  
Vol 17 (1) ◽  
pp. 016021 ◽  
Author(s):  
Dan Valsky ◽  
Kim T Blackwell ◽  
Idit Tamir ◽  
Renana Eitan ◽  
Hagai Bergman ◽  
...  

Author(s):  
Yingnan Nie ◽  
Xuanjun Guo ◽  
Xiao Li ◽  
Xinyi Geng ◽  
Yan Li ◽  
...  

Abstract Objective. Closed-loop deep brain stimulation (DBS) with neural feedback has shown great potential in improving the therapeutic effect and reducing side effects. However, the amplitude of stimulation artifacts is much larger than the local field potentials, which remains a bottleneck in developing a closed-loop stimulation strategy with varied parameters. Approach. We proposed an irregular sampling method for the real-time removal of stimulation artifacts. The artifact peaks were detected by applying a threshold to the raw recordings, and the samples within the contaminated period of the stimulation pulses were excluded and replaced with the interpolation of the samples prior to and after the stimulation artifact duration. This method was evaluated with both simulation signals and in vivo closed-loop DBS applications in Parkinsonian animal models. Main results. The irregular sampling method was able to remove the stimulation artifacts effectively with the simulation signals. The relative errors between the power spectral density of the recovered and true signals within a wide frequency band (2-150 Hz) were 2.14%, 3.93%, 7.22%, 7.97% and 6.25% for stimulation at 20 Hz, 60 Hz, 130 Hz, 180 Hz, and stimulation with variable low and high frequencies, respectively. This stimulation artifact removal method was verified in real-time closed-loop DBS application in vivo, and the artifacts were effectively removed during stimulation with frequency continuously changing from 130 Hz to 1 Hz and stimulation adaptive to beta oscillations. Significance. The proposed method provides an approach for real-time removal in closed-loop DBS applications, which is effective in stimulation with low frequency, high frequency, and variable frequency. This method can facilitate the development of more advanced closed-loop DBS strategies.


2020 ◽  
Vol 6 (3) ◽  
pp. 103-106
Author(s):  
Rene Peter Bremm ◽  
Klaus Peter Koch ◽  
Rejko Krüger ◽  
Frank Hertel ◽  
Jorge Gonçalves

AbstractProgramming in deep brain stimulation (DBS) is often a labour-intensive process. Although automatic closed-loop stimulation has recently been receiving considerable attention, it is still far from clinical settings. Testing in-loop stimulation in a clinical setting is extremely challenging due to manual programming and the lack of synchronisation between stimulation and monitoring devices. In this work, we present a simple rulebased expert system to test feedback-controlled DBS in a clinical setting. The new application operates in closed-loop with the physician as acting person and real-time feedback from an accelerometer. Patients with movement disorders such as in essential tremor announce an individually acceptable level of tremor as a boundary condition for control. As a proof-of-concept, the expert system provides continuous recommendations of stimulation parameters and guides the physician to increase or decrease DBS amplitude by capturing tremor acceleration power on the patients’ forearms. The introduced application considers the technical and practical aspects in a clinical setting. Data obtained from test subjects provide insight into tremor dynamics. We demonstrate the clinical applicability of the rule-based control system for future research focusing on tremor dynamics and inloop stimulation. Finally, a telemetry streaming system could provide the interface for the application of automatic tremor control without the physician as acting person.


2004 ◽  
Vol 35 (03) ◽  
Author(s):  
C Silex ◽  
PA Tass ◽  
M Schiek ◽  
N Hermes ◽  
H Rongen ◽  
...  

2014 ◽  
Vol 14 (4) ◽  
pp. 400-408 ◽  
Author(s):  
Philip A. Starr ◽  
Leslie C. Markun ◽  
Paul S. Larson ◽  
Monica M. Volz ◽  
Alastair J. Martin ◽  
...  

Object The placement of deep brain stimulation (DBS) leads in adults is traditionally performed using physiological confirmation of lead location in the awake patient. Most children are unable to tolerate awake surgery, which poses a challenge for intraoperative confirmation of lead location. The authors have developed an interventional MRI (iMRI)–guided procedure to allow for real-time anatomical imaging, with the goal of achieving very accurate lead placement in patients who are under general anesthesia. Methods Six pediatric patients with primary dystonia were prospectively enrolled. Patients were candidates for surgery if they had marked disability and medical therapy had been ineffective. Five patients had the DYT1 mutation, and mean age at surgery was 11.0 ± 2.8 years. Patients underwent bilateral globus pallidus internus (GPi, n = 5) or sub-thalamic nucleus (STN, n = 1) DBS. The leads were implanted using a novel skull-mounted aiming device in conjunction with dedicated software (ClearPoint system), used within a 1.5-T diagnostic MRI unit in a radiology suite, without physiological testing. The Burke-Fahn-Marsden Dystonia Rating Scale (BFMDRS) was used at baseline, 6 months, and 12 months postoperatively. Further measures included lead placement accuracy, quality of life, adverse events, and stimulation settings. Results A single brain penetration was used for placement of all 12 leads. The mean difference (± SD) between the intended target location and the actual lead location, in the axial plane passing through the intended target, was 0.6 ± 0.5 mm, and the mean surgical time (leads only) was 190 ± 26 minutes. The mean percent improvement in the BFMDRS movement scores was 86.1% ± 12.5% at 6 months (n = 6, p = 0.028) and 87.6% ± 19.2% at 12 months (p = 0.028). The mean stimulation settings at 12 months were 3.0 V, 83 μsec, 135 Hz for GPi DBS, and 2.1 V, 60 μsec, 145 Hz for STN DBS). There were no serious adverse events. Conclusions Interventional MRI–guided DBS using the ClearPoint system was extremely accurate, provided real-time confirmation of DBS placement, and could be used in any diagnostic MRI suite. Clinical outcomes for pediatric dystonia are comparable with the best reported results using traditional frame-based stereotaxy. Clinical trial registration no.: NCT00792532 (ClinicalTrials.gov).


Basal Ganglia ◽  
2011 ◽  
Vol 1 (2) ◽  
pp. 110
Author(s):  
Safwan Al-Qadhi ◽  
Christian Hauptmann ◽  
Peter A. Tass

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