Neural Engineering
Roy Lycke, Masters of Science in Computer Engineering and Doctor of Philosophy in Biomedical Engineering (he/him/his)
Postdoctoral Research Assistant
Rice University
Houston, Texas, United States
Robin Kim
Graduate Student
Rice University, United States
Pavlo Zolotavin
Postdoc Reseracher
Rice University, United States
Jon Montes
Graduate Student
Rice University, United States
Yingchu Sun
Graduate Student
Rice University, United States
Aaron Koszeghy
Graduate Student
University of Helsinki, United States
Esra Altun
Graduate Student
Rice University, United States
Brian Noble
Graduate Student
Rice University, United States
Rongkang Yin
Postdoc Reseracher
Rice University, United States
Fei He
Postdoc Reseracher
Rice University, United States
Nelson Totah
Assistant Professor
University of Helsinki, United States
Chong Xie
Associate Professor
Rice University, United States
Lan Luan
Associate Professor
Rice University, United States
Intracortical microstimulation (ICMS) neural implants are used to treat a range of neurological disorders by targeted stimulation of the nervous system, and while many disorders have been addressed with current electrode designs, the stimulation resolution, efficacy, and chronic stability of conventional ICMS neural implants are limited due to the chronic immune response to indwelling electrodes. The chronic implantation of conventional rigid electrodes produces a strong immune response theorized to be due to the mechanical mismatch between the stiff electrode and the soft brain tissue inducing chronic mechanical stress. To address the low-selectivity of classical intracortical microstimulation (ICMS), we propose using ultraflexible nanoelectronic thread (NET) neural implants to minimize adverse immune responses, establish a stable tight tissue-electrode interface, and selectively stimulate neural populations with sufficient resolution to activate neural ensembles encoding complex neural network patterns to treat neurological disorders.
Results. StimNETs demonstrated low activation threshold, high resolution, and chronically stable ICMS in awake, behaving mouse models. In vivo, two-photon imaging reveals that StimNETs remain seamlessly integrated with the nervous tissue throughout chronic stimulation periods and elicit stable, focal neuronal activation at low currents of 2 mA. Stimulating neighboring electrode sites revealed significant selective activation of neural populations at low stimulation currents with increased coactivation of neural populations and reduced selectivity as current amplitudes increased and distance between stimulation sites decreased. StimNETs evoke longitudinally stable behavioral responses for over eight months at markedly low charge injection of 0.25 nC/phase. Quantified histological analysis showed that chronic ICMS via StimNETs induced no significant neuronal degeneration or glial scarring.
Conclusion. These results suggest that tissue-integrated electrodes, here the StimNET, provide robust, long-lasting, spatially-selective neuromodulation at low currents, which lessens risks of tissue damage or exacerbation of off-target side effects, crucial for effective chronic neural recording and neuromodulation. This seamless interface allows for the selective activation of neural populations providing precise, stable ICMS avoiding the confounding chronic immune response, which has limited the resolution, efficacy, and chronic stability of conventional ICMS neural implants. As such, NET electrodes can improve the efficacy and precisely probe the mechanics of the brain without disrupting local tissue and serve as a platform from which high-fidelity bidirectional medical neural stimulation systems aiming to deliver complex neuromodulation can be developed.