An Energy-Efficient Optically-Enhanced Highly-Linear Implantable Wirelessly-Powered Bidirectional Optogenetic Neuro-Stimulator

Yousefi, Tayebeh; Taghadosi, Mansour; Dabbaghian, Alireza; Siu, Ryan; Grau, Gerd; Zoidl, Georg; Kassiri, Hossein

doi:10.1109/tbcas.2020.3026937

Cited by 16 publications

(10 citation statements)

References 23 publications

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“…The above results indicate the importance of realtime neural activity recording for implantable optogenetic stimulators as also mentioned in [21]. Besides enabling closed-loop operation that could be used for diagnostic applications, real-time recording of neuronal activities (typically, electro-physiological recording) allows for calibrating the stimulation light intensity to avoid the abovementioned problems at both sides of the spectrum.…”

Section: Analysis and Optimization Of Stimulation Parameters And μLed...mentioning

confidence: 69%

“…In this work, through development of a customized computational model, we will investigate the feasibility of employing an implantable wireless optical neurostimulator (e.g., our recently-reported device in [21]) as a treatment option for patients with retinal degeneration, and compare its performance and potential to an electrical stimulator from various aspects. This is mainly motivated by the optogenetics' inherent cell-type specificity that enables pathway-specific activation of neurons, allowing for a visual perception quality that is practically unachievable with electrical stimulation.…”

Section: Introductionmentioning

confidence: 99%

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A Retina-Inspired Computational Model for Stimulation Efficacy Characterization and Implementation Optimization of Implantable Optogenetic Epi-Retinal Neuro-Stimulators

Yousefi

Kassiri

2023

Preprint

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In this paper, a biologically-informed computational framework is developed to model the efficacy and to optimize the implementation of an implantable epi-retinal prosthesis that performs optogenetic stimulation through a uLED array. The developed model is capable of translating visual stimulus inputs into corresponding signals evoked in the transfected retinal cells through optogenetic stimulation, calculating the subsequent neuronal activities of the following retinal layers, and estimating the resulted brain's visual perception. As such, it can model and quantitatively analyze the impact of optical stimulation parameters (intensity, frequency, directivity, wavelength, etc.) and the uLED array's physical specifications (array size, density, pitch, implantation location, etc.) on the efficacy of the stimulation. Using this model, we compared optical and electrical stimulations in terms of the structural similarity between their induced visual perception in the brain and the visual stimulus input. We showed that thanks to the cell-type specificity of optogenetic stimulation, it can induce more relevant visual perception qualities than electrical stimulation. We also showed that its resulted visual perception substantially improves with scaling the stimulator's array size. The model was also used to qualitatively and quantitatively analyze the impact of parameters such as implantation location, light intensity, single- and dual-wavelength stimulation, and illumination divergence angle on the quality of the optical stimulation-induced visual perception. In each case, the simulation results were followed by our interpretation from a biological point of view. More importantly, in each case, we discussed how the results could be used for optimizing different parameters of an implantable optogenetic stimulator to achieve maximum efficacy and energy efficiency.

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Section: Analysis and Optimization Of Stimulation Parameters And μLed...mentioning

confidence: 69%

Section: Introductionmentioning

confidence: 99%

A Retina-Inspired Computational Model for Stimulation Efficacy Characterization and Implementation Optimization of Implantable Optogenetic Epi-Retinal Neuro-Stimulators

Yousefi

Kassiri

2023

Preprint

Self Cite

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“…The system demonstrated in [6] is capable of providing synchronized optogenetics and electrophysiology recording in small animals, but it is powered by a percutaneous connection to an external battery. The design in [7] reports a fully implantable device; which is powered by a small wireless telemetry link and high power transmitting efficiency. However, since the system is powered by a micro-coil on an ASIC, the movement of the test subject could cause decoupling of the inductive link that leads to wireless powering failure.…”

Section: Introductionmentioning

confidence: 99%

Towards a Fully Implantable Closed-Loop Opto-Electro Stimulation Interface for Motor Neuron Disease Treatment

Liu

Jiang

Demosthenous

2022

2022 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper presents a fully-implantable closed-loop opto-electro stimulation interface for motor neuron disease studies, designed for experiments with freely moving rodents. A low power consumption Bluetooth data link is used to wirelessly control 64 opto-electro stimulation channels and receive neural recording data. The implant is powered by a wirelessly rechargeable lithium-ion battery, which can support 2.5 hours continuous operation with a stimulation output up to 10 mA. The battery is recharged using a QI standard wireless inductive power link, which can deliver >100 mW power at a distance of 2 cm. The total size of the implant system is 29 mm × 20 mm × 13 mm. The performance of the proposed system is compared with state-of-the-art.

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“…[ 35–40 ] The tissue‐like mechanical characteristics of the devices significantly improve their long‐term biocompatibility inside the body. As a result, such devices can be implanted in numerous locations within the body, including locations near the organs with dynamic motions, [ 41 ] due to their mechanically deformable nature, [ 42 ] thereby potentially expanding their scope of application (e.g., glucose sensor, [ 43,44 ] blood pressure sensor, [ 45–47 ] neural stimulator, [ 48–50 ] and drug delivery system [ 51–54 ] ).…”

Section: Introductionmentioning

confidence: 99%

Wireless Power Transfer and Telemetry for Implantable Bioelectronics

Yoo

Lee

Joo

et al. 2021

Adv Healthcare Materials

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Implantable bioelectronic devices are becoming useful and prospective solutions for various diseases owing to their ability to monitor or manipulate body functions. However, conventional implantable devices (e.g., pacemaker and neurostimulator) are still bulky and rigid, which is mostly due to the energy storage component. In addition to mechanical mismatch between the bulky and rigid implantable device and the soft human tissue, another significant drawback is that the entire device should be surgically replaced once the initially stored energy is exhausted. Besides, retrieving physiological information across a closed epidermis is a tricky procedure. However, wireless interfaces for power and data transfer utilizing radio frequency (RF) microwave offer a promising solution for resolving such issues. While the RF interfacing devices for power and data transfer are extensively investigated and developed using conventional electronics, their application to implantable bioelectronics is still a challenge owing to the constraints and requirements of in vivo environments, such as mechanical softness, small module size, tissue attenuation, and biocompatibility. This work elucidates the recent advances in RF‐based power transfer and telemetry for implantable bioelectronics to tackle such challenges.

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An Energy-Efficient Optically-Enhanced Highly-Linear Implantable Wirelessly-Powered Bidirectional Optogenetic Neuro-Stimulator

Cited by 16 publications

References 23 publications

A Retina-Inspired Computational Model for Stimulation Efficacy Characterization and Implementation Optimization of Implantable Optogenetic Epi-Retinal Neuro-Stimulators

A Retina-Inspired Computational Model for Stimulation Efficacy Characterization and Implementation Optimization of Implantable Optogenetic Epi-Retinal Neuro-Stimulators

Towards a Fully Implantable Closed-Loop Opto-Electro Stimulation Interface for Motor Neuron Disease Treatment

Wireless Power Transfer and Telemetry for Implantable Bioelectronics

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