TY - JOUR
T1 - Wireless Optogenetic Nanonetworks for Brain Stimulation
T2 - Device Model and Charging Protocols
AU - Wirdatmadja, Stefanus Arinno
AU - Barros, Michael Taynnan
AU - Koucheryavy, Yevgeni
AU - Jornet, Josep Miquel
AU - Balasubramaniam, Sasitharan
N1 - Funding Information:
Manuscript received June 23, 2017; revised October 18, 2017; accepted November 21, 2017. Date of publication December 18, 2017; date of current version January 18, 2018. This work was supported in part by the Academy of Finland Research Fellow Program under Project 284531, in part by the European Union Horizon 2020 CIRCLE Project under Grant 665564, in part by the Science Foundation Ireland CONNECT Research Centre through the European Regional Development Fund under Grant 13/RC/2077, and in part by the U.S. National Science Foundation under Grant CBET-1555720. (Corresponding author: Sasitharan Balasubramaniam.) S. A. Wirdatmadja, Y. Koucheryavy, and S. Balasubramaniam are with the Department of Electrical Engineering and Communications, Tampere University of Technology, 33720 Tampere, Finland (e-mail: stefanus.wirdatmadja@tut.fi; yk@tut.fi; sasi.bala@tut.fi).
Publisher Copyright:
© 2002-2011 IEEE.
PY - 2017/12
Y1 - 2017/12
N2 - In recent years, numerous research efforts have been dedicated toward developing efficient implantable devices for brain stimulation. However, there are limitations and challenges with the current technologies. They include neuron population stimulation instead of single neuron level, the size, the biocompatibility, and the device lifetime reliability in the patient's brain. We have recently proposed the concept of wireless optogenetic nanonetworking devices (WiOptND) that could address the problem of long term deployment, and at the same time target single neuron stimulation utilizing ultrasonic as a mode for energy harvesting. In addition, a number of charging protocols are also proposed, in order to minimize the quantity of energy required for charging, while ensuring minimum number of neural spike misfirings. These protocols include the simple charge and fire, which requires the full knowledge of the raster plots of neuron firing patterns, and the predictive sliding detection window, and its variant Markov-chain based time-delay patterns, which minimizes the need for full knowledge of neural spiking patterns as well as number of ultrasound charging frequencies. Simulation results exhibit a drop for the stimulation ratio of 25% and more stable trend in its efficiency ratio (standard deviation of 0.5%) for the Markov-chain based time-delay patterns protocol compared with the baseline change and fire. The results show the feasibility of utilizing WiOptND for long-term implants in the brain, and a new direction toward precise stimulation of neurons in the cortical microcolumn of the brain cortex.
AB - In recent years, numerous research efforts have been dedicated toward developing efficient implantable devices for brain stimulation. However, there are limitations and challenges with the current technologies. They include neuron population stimulation instead of single neuron level, the size, the biocompatibility, and the device lifetime reliability in the patient's brain. We have recently proposed the concept of wireless optogenetic nanonetworking devices (WiOptND) that could address the problem of long term deployment, and at the same time target single neuron stimulation utilizing ultrasonic as a mode for energy harvesting. In addition, a number of charging protocols are also proposed, in order to minimize the quantity of energy required for charging, while ensuring minimum number of neural spike misfirings. These protocols include the simple charge and fire, which requires the full knowledge of the raster plots of neuron firing patterns, and the predictive sliding detection window, and its variant Markov-chain based time-delay patterns, which minimizes the need for full knowledge of neural spiking patterns as well as number of ultrasound charging frequencies. Simulation results exhibit a drop for the stimulation ratio of 25% and more stable trend in its efficiency ratio (standard deviation of 0.5%) for the Markov-chain based time-delay patterns protocol compared with the baseline change and fire. The results show the feasibility of utilizing WiOptND for long-term implants in the brain, and a new direction toward precise stimulation of neurons in the cortical microcolumn of the brain cortex.
KW - Brain stimulation
KW - nano and molecular communications
KW - optogenetics
UR - http://www.scopus.com/inward/record.url?scp=85038879465&partnerID=8YFLogxK
U2 - 10.1109/TNB.2017.2781150
DO - 10.1109/TNB.2017.2781150
M3 - Article
C2 - 29364130
AN - SCOPUS:85038879465
VL - 16
SP - 859
EP - 872
JO - IEEE Transactions on Nanobioscience
JF - IEEE Transactions on Nanobioscience
SN - 1536-1241
IS - 8
M1 - 8222962
ER -