scholarly journals Cortical Brain–Computer Interface for Closed-Loop Deep Brain Stimulation

2017 ◽  
Vol 25 (11) ◽  
pp. 2180-2187 ◽  
Author(s):  
Jeffrey A. Herron ◽  
Margaret C. Thompson ◽  
Timothy Brown ◽  
Howard Jay Chizeck ◽  
Jeffrey G. Ojemann ◽  
...  
Author(s):  
Eran Klein

Brain–computer interface (BCI) technology is moving from research to clinical practice. Devices that detect seizure patterns and provide preemptive neurostimulation are in clinical use, and significant advancements have been made in BCI-based control of neuroprosthetics and deep brain stimulation systems for treatment of movement disorders. The transition of BCI-based devices into regular clinical use raises ethical challenges for clinicians and patients. Clinicians have important responsibilities in the initial consent process for obtaining BCI devices and in the ongoing management or neuromodulation of patients with BCI-based devices. Rather than understanding neuromodulation as purely technical, it is argued in this chapter that neuromodulation is better thought of as assistive, and that rehabilitation medicine provides a useful framework for beginning to address the kinds of ethical challenges likely to emerge for neuromodulation in BCI medicine.


2016 ◽  
Vol 3 (4) ◽  
pp. 165-170 ◽  
Author(s):  
Timothy Brown ◽  
Margaret C. Thompson ◽  
Jeffrey Herron ◽  
Andrew Ko ◽  
Howard Chizeck ◽  
...  

2021 ◽  
Vol 84 ◽  
pp. 47-51
Author(s):  
Fuyuko Sasaki ◽  
Genko Oyama ◽  
Satoko Sekimoto ◽  
Maierdanjiang Nuermaimaiti ◽  
Hirokazu Iwamuro ◽  
...  

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.


2019 ◽  
Vol 15 (6) ◽  
pp. 343-352 ◽  
Author(s):  
Walid Bouthour ◽  
Pierre Mégevand ◽  
John Donoghue ◽  
Christian Lüscher ◽  
Niels Birbaumer ◽  
...  

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