Fully implantable optoelectronic systems for battery-free, multimodal operation in neuroscience research
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Final accepted manuscript
Author
Gutruf, PhilippKrishnamurthi, Vaishnavi
Vázquez-Guardado, Abraham
Xie, Zhaoqian
Banks, Anthony
Su, Chun-Ju
Xu, Yeshou
Haney, Chad R.
Waters, Emily A.
Kandela, Irawati
Krishnan, Siddharth R.
Ray, Tyler
Leshock, John P.
Huang, Yonggang
Chanda, Debashis
Rogers, John A.
Affiliation
Univ Arizona, Dept Biomed Engn, Biosci Res LabsIssue Date
2018-12
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NATURE PUBLISHING GROUPCitation
Gutruf, P., Krishnamurthi, V., Vázquez-Guardado, A., Xie, Z., Banks, A., Su, C. J., ... & Krishnan, S. R. (2018). Fully implantable optoelectronic systems for battery-free, multimodal operation in neuroscience research. Nature Electronics, 1(12), 652.Journal
NATURE ELECTRONICSRights
© The Author(s), under exclusive licence to Springer Nature Limited 2018.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Recently developed ultrasmall, fully implantable devices for optogenetic neuromodulation eliminate the physical tethers associated with conventional set-ups and avoid the bulky head-stages and batteries found in alternative wireless technologies. The resulting systems allow behavioural studies without motion constraints and enable experiments in a range of environments and contexts, such as social interactions. However, these devices are purely passive in their electronic design, thereby precluding any form of active control or programmability; independent operation of multiple devices, or of multiple active components in a single device, is, in particular, impossible. Here we report optoelectronic systems that, through developments in integrated circuit and antenna design, provide low-power operation, and position- and angle-independent wireless power harvesting, with full user-programmability over individual devices and collections of them. Furthermore, these integrated platforms have sizes and weights that are not significantly larger than those of previous, passive systems. Our results qualitatively expand options in output stabilization, intensity control and multimodal operation, with broad potential applications in neuroscience research and, in particular, the precise dissection of neural circuit function during unconstrained behavioural studies.Note
6 month embargo; published 13 December 2018ISSN
2520-1131Version
Final accepted manuscriptSponsors
Center for Bio-Integrated Electronics at Northwestern University; Cancer Center Support Grant from the National Cancer Institute [P30 CA060553]; National Natural Science Foundation of China [11402134]; National Science Foundation [1400169, 1534120, 1635443]Additional Links
http://www.nature.com/articles/s41928-018-0175-0ae974a485f413a2113503eed53cd6c53
10.1038/s41928-018-0175-0