scholarly journals Association of Closed-Loop Brain Stimulation Neurophysiological Features With Seizure Control Among Patients With Focal Epilepsy

2019 ◽  
Vol 76 (7) ◽  
pp. 800 ◽  
Author(s):  
Vasileios Kokkinos ◽  
Nathaniel D. Sisterson ◽  
Thomas A. Wozny ◽  
R. Mark Richardson
Keyword(s):  
Brain Stimulation ◽  
Closed Loop ◽  
Seizure Control ◽  
Focal Epilepsy

scholarly journals Modulation of electrocorticographic seizure features predicts response to closed-loop brain stimulation

2018 ◽  
Author(s):  
Vasileios Kokkinos ◽  
Nathaniel D. Sisterson ◽  
Thomas A. Wozny ◽  
R. Mark Richardson
Keyword(s):  
Clinical Outcomes ◽  
Brain Stimulation ◽  
Frequency Modulation ◽  
Indirect Effects ◽  
Closed Loop ◽  
Seizure Control ◽  
Network Activity ◽  
Direct Effects ◽  
Neuronal Populations ◽  
Patients With Epilepsy

AbstractWhy does closed-loop invasive brain stimulation improve seizure control in some patients with epilepsy, but not others? The RNS System, the only FDA-approved bi-directional brain-computer interface, has been shown to improve seizure control in patients with refractory epilepsy, although the mechanisms behind this success are undefined. We analyzed recordings from the RNS System and discovered two main categories of electrophysiological signatures of stimulation-induced modulation of the seizure network. Direct effects included ictal inhibition and early frequency modulation but did not correlate with improved clinical outcomes. Only indirect effects, those occurring remote from triggered stimulation, predicted improved clinical outcomes. These indirect effects, which included spontaneous ictal inhibition, frequency modulation, fragmentation, and ictal duration modulation, may reflect progressive local epileptogenic network compartmentalization that hinders the spread of pathological synchrony from recruiting neuronal populations. Our findings suggest that responsiveness to RNS may be explained by chronic stimulation-induced modulation of seizure network activity, rather than direct effects on each detected seizure.

Closed-loop programming using external responses for deep brain stimulation in Parkinson's disease

2021 ◽  
Vol 84 ◽  
pp. 47-51
Author(s):  
Fuyuko Sasaki ◽  
Genko Oyama ◽  
Satoko Sekimoto ◽  
Maierdanjiang Nuermaimaiti ◽  
Hirokazu Iwamuro ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Deep Brain Stimulation ◽  
Brain Stimulation ◽  
Closed Loop ◽  
Deep Brain

Closed-loop seizure control on epileptic rat models

2011 ◽  
Vol 8 (4) ◽  
pp. 045001 ◽  
Author(s):  
Sheng-Fu Liang ◽  
Yi-Cheng Liao ◽  
Fu-Zen Shaw ◽  
Da-Wei Chang ◽  
Chung-Ping Young ◽  
...  
Keyword(s):  
Closed Loop ◽  
Seizure Control ◽  
Rat Models

scholarly journals Conceptualization and validation of an open-source closed-loop deep brain stimulation system in rat

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Hemmings Wu ◽  
Hartwin Ghekiere ◽  
Dorien Beeckmans ◽  
Tim Tambuyzer ◽  
Kris van Kuyck ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Deep Brain Stimulation ◽  
Open Source ◽  
Brain Stimulation ◽  
Closed Loop ◽  
Symptom Control ◽  
Theta Oscillations ◽  
Open Source Hardware ◽  
Hippocampal Theta ◽  
Deep Brain

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.

scholarly journals A Closed-Loop Brain Stimulation Control System Design Based on Brain-Machine Interface for Epilepsy

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Moshu Qian ◽  
Guanghua Zhong ◽  
Xinggang Yan ◽  
Heyuan Wang ◽  
Yang Cui
Keyword(s):  
Control System ◽  
Fractional Order ◽  
Brain Stimulation ◽  
Closed Loop ◽  
Sliding Mode ◽  
Sufficient Conditions ◽  
Brain Machine Interface ◽  
Machine Interface ◽  
Electromagnetic Disturbances ◽  
Stimulation Control

In this study, a closed-loop brain stimulation control system scheme for epilepsy seizure abatement is designed by brain-machine interface (BMI) technique. In the controller design process, the practical parametric uncertainties involving cerebral blood flow, glucose metabolism, blood oxygen level dependence, and electromagnetic disturbances in signal control are considered. An appropriate transformation is introduced to express the system in regular form for design and analysis. Then, sufficient conditions are developed such that the sliding motion is asymptotically stable. Combining Caputo fractional order definition and neural network (NN), a finite time fractional order sliding mode (FFOSM) controller is designed to guarantee reachability of the sliding mode. The stability and reachability analysis of the closed-loop tracking control system gives the guideline of parameter selection, and simulation results based on comprehensive comparisons are carried out to demonstrate the effectiveness of proposed approach.

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