Adaptive Closed-Loop Deep Brain Stimulator Coding Techniques for Target Detections in Parkinson’s

2021 ◽  
pp. 1-16
Author(s):  
Venkateshwarla Rama Raju ◽  
Dabbeta Anji Reddy ◽  
D. Narsimha ◽  
Konda Srinivas ◽  
Balmuri Kavitha Rani
2021 ◽  
Vol 84 ◽  
pp. 47-51
Author(s):  
Fuyuko Sasaki ◽  
Genko Oyama ◽  
Satoko Sekimoto ◽  
Maierdanjiang Nuermaimaiti ◽  
Hirokazu Iwamuro ◽  
...  

2017 ◽  
Vol 42 (videosuppl2) ◽  
pp. V2
Author(s):  
Paul House

The implantation of deep brain stimulator electrodes is associated with infrequent complications. These complications are consistent across prospective trials and include infection, skin erosion, hemorrhage, and lead misplacement. Nuances of surgical technique can be used to minimize the risk of these commonly noted complications. Several of these technical nuances are highlighted in this video submission.The video can be found here: https://youtu.be/GL09W9p013g.


Neurosurgery ◽  
2011 ◽  
Vol 68 (5) ◽  
pp. E1464-E1467 ◽  
Author(s):  
Donald C. Shields ◽  
Alice W. Flaherty ◽  
Emad N. Eskandar ◽  
Ziv M. Williams

Abstract BACKGROUND AND IMPORTANCE: Peripheral and central sensory loss are often associated with significant tremor or sensory ataxia, which can be highly refractory to medical therapy. CLINICAL PRESENTATION: We present the case of a 67-year-old man with progressive and debilitating intention tremor from monoclonal gammopathy-associated peripheral neuropathy. The patient was implanted with bilateral thalamic deep brain stimulator electrodes under microelectrode guidance. Following optimization of stimulation parameters, the patient's appendicular tremor and gait improved, as did his general activities of daily living. CONCLUSION: These initial findings suggest that deep brain stimulation may benefit not only tremor presumed to originate from central nervous system dysfunction, but also tremor originating peripherally from neuropathy-related sensory loss.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Hemmings Wu ◽  
Hartwin Ghekiere ◽  
Dorien Beeckmans ◽  
Tim Tambuyzer ◽  
Kris van Kuyck ◽  
...  

Abstract Conventional deep brain stimulation (DBS) applies constant electrical stimulation to specific brain regions to treat neurological disorders. Closed-loop DBS with real-time feedback is gaining attention in recent years, after proved more effective than conventional DBS in terms of pathological symptom control clinically. Here we demonstrate the conceptualization and validation of a closed-loop DBS system using open-source hardware. We used hippocampal theta oscillations as system input and electrical stimulation in the mesencephalic reticular formation (mRt) as controller output. It is well documented that hippocampal theta oscillations are highly related to locomotion, while electrical stimulation in the mRt induces freezing. We used an Arduino open-source microcontroller between input and output sources. This allowed us to use hippocampal local field potentials (LFPs) to steer electrical stimulation in the mRt. Our results showed that closed-loop DBS significantly suppressed locomotion compared to no stimulation and required on average only 56% of the stimulation used in open-loop DBS to reach similar effects. The main advantages of open-source hardware include wide selection and availability, high customizability and affordability. Our open-source closed-loop DBS system is effective and warrants further research using open-source hardware for closed-loop neuromodulation.


Author(s):  
Rudy Garza ◽  
Cory Jones ◽  
Maxim S. Eckmann

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