Document Type
Dissertation
Degree
Doctor of Philosophy (PhD)
Major/Program
Biomedical Engineering
First Advisor's Name
Jorge Riera Diaz
First Advisor's Committee Title
Committee Chair
Second Advisor's Name
John L. Volakis
Second Advisor's Committee Title
Co-Committee Chair
Third Advisor's Name
Elias Alwan
Third Advisor's Committee Title
Committee Member
Fourth Advisor's Name
Armando Barreto
Fourth Advisor's Committee Title
Committee Member
Fifth Advisor's Name
Jacob McPherson
Fifth Advisor's Committee Title
Committee Member
Keywords
Biomedical Telemetry, Backscattering, Battery-Free, Electrocorticography, Implants, Neuroscience
Date of Defense
6-9-2022
Abstract
Intracranial neuronal recordings are essential for understanding neuronal function. They can be classified into levels like electrocorticography (ECoG)/local field potentials (LFP) and neuronal spiking activity. Typically, wired systems have been used to conduct these recordings; however, they have been linked to drawbacks, including infections, subdural hematomas, and are limited to a clinical setting, all of which can be detrimental to the patients’ quality of life. To address these issues, wireless biotelemetric devices have been increasingly adopted; nevertheless, they are coupled with their own drawbacks like bulky components and heat-generating batteries. Miniaturized battery-free systems have been developed for addressing these concerns, and while they are promising, they have not been successfully demonstrated in vivo.
To this end, we propose and validate a fully implantable battery-free alternative for remote monitoring of neuronal activity, namely the Wireless Neurosensing System (WiNS). In this dissertation, we address challenges that have previously prevented experimental testing and provide the first comprehensive in vivo evaluation of WiNS using rats. To ensure the reliability of the recordings, we also compare it with state-of-the-art technology. To achieve our goal, firstly, we identify and develop electrodes for WiNS to record activity ranging from evoked somatosensory responses of ~15 μV in amplitude to fully implanted recordings during movement. Secondly, we incorporate a passive impedance matching network, explore different electrode coating techniques for impedance reduction, and demonstrate an ability to successfully record LFP and spiking activity. Lastly, we design, fabricate, and evaluate an optical element for automated channel multiplexing, thereby expanding WiNS for multichannel recordings with an achievable sampling rate of ~10 kHz. Using recordings of activity elicited in different areas of the somatosensory cortex, we prove that WiNS can be used to record multichannel ECoG activity.
Overall, the analysis presented in this dissertation goes beyond previous demonstrations of this system, and other comparable devices, to, for the first time, establish WiNS as a battery-free system for monitoring neuronal activity. Our groundbreaking technology should have great potential upon its clinical translation for monitoring and understanding different neurological disorders such as epilepsy, Parkinson’s disease, and Alzheimer’s disease.
Identifier
FIDC010717
Previously Published In
Moncion, C., Balachandar, L., Bojja Venkatakrishnan, S., Riera, J. J., & Volakis, J. (2019). Fully-Passive Wireless Implant for Neuropotential Acquisition: An In Vivo Validation. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 3(3), 199–205. https://doi.org/10.1109/jerm.2019.2895657
Moncion, C., Bojja-Venkatakrishnan, S., Diaz, J. R., & Volakis, J. L. (2020). Fully-Passive and Wireless Recording of Neural Activity in Freely Moving Animals. 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings, 1373–1374. https://doi.org/10.1109/IEEECONF35879.2020.9329887
Moncion, C., Bojja-Venkatakrishnan, S., Diaz, J. R., & Volakis, J. L. (2018). Low-Impedance Probes for Wireless Monitoring of Neural Activation. 2018 IEEE/MTT-S International Microwave Biomedical Conference, 76–78.
Recommended Citation
Moncion, Carolina, "Monitoring Neuronal Activity in vivo with a Novel Implantable Battery-Free Wireless System" (2022). FIU Electronic Theses and Dissertations. 5081.
https://digitalcommons.fiu.edu/etd/5081
Rights Statement
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).