Reconfigurable nanophotonic silicon probes for sub-millisecond deep-brain optical stimulation

Mohanty, A., Li, Q., Tadayon, M. A., Roberts, S. P., Bhatt, G. R., Shim, E., Ji, X., Cardenas, J., Miller, S. A., Kepecs, A., Lipson, M. (February 2020) Reconfigurable nanophotonic silicon probes for sub-millisecond deep-brain optical stimulation. Nat Biomed Eng, 4 (2). pp. 223-231. ISSN 2157-846x (Public Dataset)

URL: https://www.ncbi.nlm.nih.gov/pubmed/32051578
DOI: 10.1038/s41551-020-0516-y

Abstract

The use of nanophotonics to rapidly and precisely reconfigure light beams for the optical stimulation of neurons in vivo has remained elusive. Here we report the design and fabrication of an implantable silicon-based probe that can switch and route multiple optical beams to stimulate identified sets of neurons across cortical layers and simultaneously record the produced spike patterns. Each switch in the device consists of a silicon nitride waveguide structure that can be rapidly (<20 mus) reconfigured by electrically tuning the phase of light. By using an eight-beam probe, we show in anaesthetized mice that small groups of single neurons can be independently stimulated to produce multineuron spike patterns at sub-millisecond precision. We also show that a probe integrating co-fabricated electrical recording sites can simultaneously optically stimulate and electrically measure deep-brain neural activity. The technology is scalable, and it allows for beam focusing and steering and for structured illumination via beam shaping. The high-bandwidth optical-stimulation capacity of the device might facilitate the probing of the spatiotemporal neural codes underlying behaviour.

Item Type: Paper
Subjects: Investigative techniques and equipment > optical devices
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
organs, tissues, organelles, cell types and functions > cell types and functions > cell types > neurons
Investigative techniques and equipment > recording devices
CSHL Authors:
Communities: CSHL labs > Kepecs lab
Depositing User: Adrian Gomez
Date: 12 February 2020
Date Deposited: 14 Feb 2020 19:49
Last Modified: 07 May 2020 15:15
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Dataset ID:
  • The code packages MClust 3.5 and CellBase R2013a are openly available at http://redishlab.neuroscience.umn.edu/mclust/MClust.html and https://github.com/hangyabalazs/CellBase.
URI: https://repository.cshl.edu/id/eprint/39061

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