Development of a miniature device for emerging deep brain stimulation paradigms

Adams, Scott; Bennet, Kevin E.; Tye, Susannah J.; Berk, Michael; Kouzani, Abbas Z.

doi:10.1371/journal.pone.0212554

Cited by 16 publications

(10 citation statements)

References 39 publications

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“…Kölbl et al [40] Fluri et al [41] Kouzani et al [42] Adams et al [43] Elyahoodayan et al [44] This Work ten-fold to approximately three-fold in larger current intensity pairs (figure 4(C)). The data collectively, however, illustrate that the improvement is independent of device styles (single tip Blackrock trodes vs. multisite silicon array).…”

Section: Featuresmentioning

confidence: 81%

A portable neurostimulator circuit with anodic bias enhances stimulation injection capacity

2022

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Objective: Electrochemically safe and efficient charge injection for neural stimulation necessitates monitoring of polarization and enhanced charge injection capacity of the stimulating electrodes. In this work, we present improved microstimulation capability by developing a custom-designed multichannel portable neurostimulator with a fully programmable anodic bias circuitry and voltage transient monitoring feature. Approach: We developed a sixteen-channel multichannel neurostimulator system, compared charge injection capacities as a function of anodic bias potentials, and demonstrated convenient control of the system by a custom-designed user interface allowing bidirectional wireless data transmission of stimulation parameters and recorded voltage transients. Charge injections were conducted in phosphate-buffered saline with silicon-based iridium oxide microelectrodes. Main Results: Under charge-balanced 200 µs cathodic first pulsing, the charge injection capacities increased proportionally to the level of anodic bias applied, reaching a maximum of ten-fold increase in current intensity from 10 µA (100 µC/cm2) to 100 µA (1000 µC/cm2) with a 600 mV anodic bias. Our custom-designed and completely portable sixteen-channel neurostimulator enabled a significant increase in charge injection capacity in vitro. Significance: Limited charge injection capacity has been a bottleneck in neural stimulation applications, and our system may enable efficacious behavioral animal study involving chronic microstimulation while ensuring electrochemical safety.

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Section: Featuresmentioning

confidence: 81%

A portable neurostimulator circuit with anodic bias enhances stimulation injection capacity

2022

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“…However existing DBS devices only offer limited predefined waveforms (i.e. square pulse), the application of this novel synaptic current like shape on animal models still depend on the development of devices [54,55].…”

Section: Discussionmentioning

confidence: 99%

Model-Based Closed-Loop Suppression of Parkinsonian Beta Band Oscillations Through Origin Analysis

Chen

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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Excessive beta band (13-30Hz) oscillations have been observed in the basal ganglia (BG) of patients with Parkinson's disease (PD). Understanding the origin and transmission of beta band oscillations are important to improve treatments of PD, such as closed-loop deep brain stimulation (DBS). This paper proposed a model-based closed-loop GPi stimulation system to suppress pathological beta band oscillations of BG. The feedback nucleus was selected through the analysis of GPi oscillations variation when different synaptic currents were blocked, mainly projections from globus pallidus external (GPe), the subthalamic nucleus (STN) and striatum. Since simulation results proved the important role of synaptic current from GPe in shaping the excessive GPi beta band oscillations, the local field potential (LFP) of GPe was chosen as the feedback signal. That is to say, the feedback nucleus was selected based on the origin analysis of the pathological GPi beta band oscillation. The closed-loop algorithm was the multiplication of linear delayed feedback of the filtered GPe-LFP and modeled synaptic dynamics from GPe to GPi. Thus, the formed stimulation waveform was synaptic current like shape, which was proved to be more energy efficient than open-loop continuous DBS in suppressing GPi beta band oscillation. With the development of DBS devices, the efficiency of this closed-loop stimulation could be testified in animal model and clinical.

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“…Along with the above-described features, a physical interface has been created to enable activation and deactivation of the device, to facilitate easy user control of the board. A Hall effect sensor, DRV5032 from Texas Instruments, operates as a magnetic switch [38]. Incorporating the DRV5032, the device can be turned ON and OFF manually using a magnet.…”

Section: Magnetic Switchmentioning

confidence: 99%

A Miniaturized Closed-Loop Optogenetic Brain Stimulation Device

Kumari

Kouzani

2022

Electronics

Self Cite

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This paper presents a tetherless and miniaturized closed-loop optogenetic brain stimulation device, designed as a back mountable device for laboratory mice. The device has the ability to sense the biomarkers corresponding to major depressive disorder (MDD) from local field potential (LFP), and produces a feedback signal to control the closed-loop operation after on-device processing of the sensed signals. MDD is a chronic neurological disorder and there are still many unanswered questions about the underlying neurological mechanisms behind its occurrence. Along with other brain stimulation paradigms, optogenetics has recently proved effective in the study of MDD. Most of these experiments have used tethered and connected devices. However, the use of tethered devices in optogenetic brain stimulation experiments has the drawback of hindering the free movement of the laboratory animal subjects undergoing stimulation. To address this issue, the proposed device is small, light-weight, untethered, and back-mountable. The device consists of: (i) an optrode which houses an electrode for collecting neural signals, an optical source for delivering light stimulations, and a temperature sensor for monitoring the temperature increase at the stimulation site, (ii) a neural sensor for acquisition and pre-processing of the neural signals to obtain LFP signals in the frequency range of 4 to 200 Hz, as electrophysiological biomarkers of MDD (iii) a classifier for classification of the signal into four classes: normal, abnormal alpha, abnormal theta, and abnormal gamma oscillations, (iv) a control algorithm to select stimulation parameters based on the input class, and (v) a stimulator for generating light stimulations. The design, implementation, and evaluation of the device are presented, and the results are discussed. The neural sensor and the stimulator are circular in shape with a radius of 8 mm. Pre-recorded neural signals from the mouse hippocampus are used for the evaluation of the device.

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Development of a miniature device for emerging deep brain stimulation paradigms

Cited by 16 publications

References 39 publications

A portable neurostimulator circuit with anodic bias enhances stimulation injection capacity

A portable neurostimulator circuit with anodic bias enhances stimulation injection capacity

Model-Based Closed-Loop Suppression of Parkinsonian Beta Band Oscillations Through Origin Analysis

A Miniaturized Closed-Loop Optogenetic Brain Stimulation Device

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