Wireless Communications for Optogenetics-Based Brain Stimulation: Present Technology and Future Challenges

Balasubramaniam, Sasitharan; Wirdatmadja, Stefanus; Barros, Michael Taynnan; Koucheryavy, Yevgeni; Stachowiak, Michal K.; Jornet, Josep Miquel

doi:10.1109/mcom.2018.1700917

Cited by 37 publications

(32 citation statements)

References 12 publications

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“…Balasubramaniam and his team proposed the hybrid wireless optogenetic neural dust, called Wi-Opt Neural Dust, that integrates the wireless optogenetic component to the neural dust to provide nerve stimulation [91], [92]. The Wi-Opt Neural Dust has a built-in miniature LED able to stimulate the genetically engineered cells and harvest energy from ultrasonic vibrations.…”

Section: A State-of-the-artmentioning

confidence: 99%

“…• Excellent biocompatibility, biodegradability, and mechanical compliance of the neural tissue: Good biocompatibility and biodegradability features of graphene that help to minimize foreign-body reaction have been reported in the literature [126], [127]. Finally, another emerging challenge is the ability to communicate and power cognitive BMIs avoiding the side effects that can occur to the brain [92].…”

Section: B Nano-device Fabrication and Testingmentioning

confidence: 99%

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Synaptic Communication Engineering for Future Cognitive Brain–Machine Interfaces

Veletić

Balasingham

2019

Proc. IEEE

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Disease-affected nervous systems exhibit anatomical or physiological impairments that degrade processing, transfer, storage, and retrieval of neural information leading to physical or intellectual disabilities. Brain implants may potentially promote clinical means for detecting and treating neurological symptoms by establishing direct communication between the nervous and artificial systems. Current technology can modify neural function at the supracellular level as in Parkinson's disease, epilepsy, and depression. However, recent advances in nanotechnology, nanomaterials, and molecular communications have the potential to enable brain implants to preserve the neural function at the subcellular level which could increase effectiveness, decrease energy consumption, and make the leadless devices chargeable from outside the body or by utilizing the body's own energy sources. In this study, we focus on understanding the principles of elemental processes in synapses to enable diagnosis and treatment of brain diseases with pathological conditions using biomimetic synaptically interactive brain-machine interfaces. First, we provide an overview of the synaptic communication system, followed by an outline of brain diseases that promote dysfunction in the synaptic communication system. We then discuss technologies for brain implants and propose future directions for the design and fabrication of cognitive brain-machine interfaces. The overarching goal of this paper is to summarize the status of engineering research at the interface between technology and the nervous system and direct the ongoing research towards the point where synaptically interactive brain-machine interfaces can be embedded in the nervous system.

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Section: A State-of-the-artmentioning

confidence: 99%

Section: B Nano-device Fabrication and Testingmentioning

confidence: 99%

Synaptic Communication Engineering for Future Cognitive Brain–Machine Interfaces

Veletić

Balasingham

2019

Proc. IEEE

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“…Implantable neural devices based on tethered and rigid devices initiate considerable tissue damage and disturbance with the normal behaviour of animals, thereby hampering chronic in vivo operations [15]- [18]. The mechanical mismatch and micromotion introduced by the interconnection that links the neural implant placed near the brain and skull-mounted connector (i.e., tether), can be minimized by using a wireless power system.…”

mentioning

confidence: 99%

“…The mechanical mismatch and micromotion introduced by the interconnection that links the neural implant placed near the brain and skull-mounted connector (i.e., tether), can be minimized by using a wireless power system. The most commonly used wireless power technologies used are electromagnetic, photovoltaic, and ultrasound [15], [18]. The ultrasound-based power transfer method uses ultrasound to vibrate an energy harvester based on implantable piezoelectric.…”

mentioning

confidence: 99%

“…As a result, the electromagnetic based wireless power transfer, which working principle is the electromagnetic induction, This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/ still the most popular choice to realize the fully implantable, wirelessly powered, and miniaturized neural devices for chronic implantation [15], [16], [18].…”

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confidence: 99%

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Biointegrated and Wirelessly Powered Implantable Brain Devices: A Review

Das

Moradi

Heidari

2020

IEEE Trans. Biomed. Circuits Syst.

126

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Implantable neural interfacing devices have added significantly to neural engineering by introducing the lowfrequency oscillations of small populations of neurons known as local field potential as well as high-frequency action potentials of individual neurons. Regardless of the astounding progression as of late, conventional neural modulating system is still incapable to achieve the desired chronic in vivo implantation. The real constraint emerges from mechanical and physical differences between implants and brain tissue that initiates an inflammatory reaction and glial scar formation that reduces the recording and stimulation quality. Furthermore, traditional strategies consisting of rigid and tethered neural devices cause substantial tissue damage and impede the natural behavior of an animal, thus hindering chronic in vivo measurements. Therefore, enabling fully implantable neural devices requires biocompatibility, wireless power/data capability, biointegration using thin and flexible electronics, and chronic recording properties. This article reviews biocompatibility and design approaches for developing biointegrated and wirelessly powered implantable neural devices in animals aimed at long-term neural interfacing and outlines current challenges toward developing the next generation of implantable neural devices.Index Terms-Biocompatibility, biointegration, implantable neural device, mechanical flexibility, wireless power transfer.

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Biointegrated Implantable Brain Devices

Das

Heidari

2020

Engineering and Technology for Healthcare

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Wireless Communications for Optogenetics-Based Brain Stimulation: Present Technology and Future Challenges

Cited by 37 publications

References 12 publications

Synaptic Communication Engineering for Future Cognitive Brain–Machine Interfaces

Synaptic Communication Engineering for Future Cognitive Brain–Machine Interfaces

Biointegrated and Wirelessly Powered Implantable Brain Devices: A Review

Biointegrated Implantable Brain Devices

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