Brain Computer Interfaces: Wireless Recording of Brain Signals with Electro-Plasmonic Nanoantenna

Authors

  • Alexa Lowe The Harker School
  • Safaa Hussain The Harker School
  • Grace Xia The Harker School
  • Ahsan Habib University of California Santa Cruz
  • Ali Yanik University of California Santa Cruz

DOI:

https://doi.org/10.47611/jsrhs.v11i1.2421

Keywords:

plasmonics, nanoparticle, nano antenna, brain computer interfaces, neurons, nanoengineering

Abstract

Brain-computer interfaces (BCIs) recording brain signals via implantable sensors aims to substitute, restore, improve, add, or enhance human functions. However, wiring requirements for power transfer and signal transmission, acute immune response to implanted electrodes, and the limited scalability of the ever-popular microelectrode arrays prevent wide adaptation of BCIs. Here, we show that electro-plasmonic nanoparticles, plasmonic nanoparticles loaded with an electrochromic polymer, can overcome the limitations of the conventional implantable microelectrode arrays as BCI probes. Much like radio frequency identification (RFIDs) tags that use backscattering for remote readout, electro-plasmonic nanoparticles report the spiking activity of neurons by modulating the input light and the re-radiated light spectrum.  Our electro-plasmonic nanoantennas are non-invasive, wire-free, highly sensitive (field sensitivity up to 15.5%) and require no surgical implantation. We believe that electro-plasmonic neural probes can help usher in a new era of BCIs.

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Author Biographies

Ahsan Habib, University of California Santa Cruz

Advisor

Ali Yanik, University of California Santa Cruz

Advisor

References or Bibliography

Miccoli, B., et al., High-density electrical recording and impedance imaging with a multi-modal CMOS multi-electrode array chip. Frontiers in neuroscience, 2019. 13: p. 641. https://doi.org/10.3389/fnins.2019.00641

Müller, J., et al., High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels. Lab on a Chip, 2015. 15(13): p. 2767-2780. https://doi.org/10.1039/c5lc00133a

Huys, R., et al., Single-cell recording and stimulation with a 16k micro-nail electrode array integrated on a 0.18 μm CMOS chip. Lab on a Chip, 2012. 12(7): p. 1274-1280. https://doi.org/10.1039/c2lc21037a

Canales, A., et al., Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivo. Nature biotechnology, 2015. 33(3): p. 277-284. https://doi.org/10.1038/nbt.3093

Musk, E., An integrated brain-machine interface platform with thousands of channels. Journal of medical Internet research, 2019. 21(10): p. e16194. https://doi.org/10.2196/16194

Habib, A., et al., Electro-plasmonic nanoantenna: A nonfluorescent optical probe for ultrasensitive label-free detection of electrophysiological signals. Science advances, 2019. 5(10): p. eaav9786. https://doi.org/10.1126/sciadv.aav9786

Hardy, N., et al., Neuro-SWARM³: System-on-a-Nanoparticle for Wireless Recording of Brain Activity. IEEE Photonics Technology Letters, 2021. 33(16): p. 900-903. https://doi.org/10.1109/LPT.2021.3092780

Published

02-28-2022

How to Cite

Lowe, A., Hussain, S., Xia, G., Habib, A., & Yanik, A. (2022). Brain Computer Interfaces: Wireless Recording of Brain Signals with Electro-Plasmonic Nanoantenna. Journal of Student Research, 11(1). https://doi.org/10.47611/jsrhs.v11i1.2421

Issue

Section

HS Research Articles