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


Journal

Nature biomedical engineering
ISSN: 2157-846X
Titre abrégé: Nat Biomed Eng
Pays: England
ID NLM: 101696896

Informations de publication

Date de publication:
02 2020
Historique:
received: 01 05 2018
accepted: 13 01 2020
pubmed: 14 2 2020
medline: 6 5 2020
entrez: 14 2 2020
Statut: ppublish

Résumé

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 μs) 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.

Identifiants

pubmed: 32051578
doi: 10.1038/s41551-020-0516-y
pii: 10.1038/s41551-020-0516-y
doi:

Substances chimiques

Silicon Z4152N8IUI

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

223-231

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Auteurs

Aseema Mohanty (A)

Department of Electrical Engineering, Columbia University, New York, NY, USA.
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.

Qian Li (Q)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA.
Department of Neuroscience, Washington University in St. Louis, St. Louis, MO, USA.

Mohammad Amin Tadayon (MA)

Department of Electrical Engineering, Columbia University, New York, NY, USA.

Samantha P Roberts (SP)

Department of Electrical Engineering, Columbia University, New York, NY, USA.

Gaurang R Bhatt (GR)

Department of Electrical Engineering, Columbia University, New York, NY, USA.

Euijae Shim (E)

Department of Electrical Engineering, Columbia University, New York, NY, USA.

Xingchen Ji (X)

Department of Electrical Engineering, Columbia University, New York, NY, USA.
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA.

Jaime Cardenas (J)

Department of Electrical Engineering, Columbia University, New York, NY, USA.
Institute of Optics, University of Rochester, Rochester, NY, USA.

Steven A Miller (SA)

Department of Electrical Engineering, Columbia University, New York, NY, USA.

Adam Kepecs (A)

Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA. akepecs@wustl.edu.
Department of Neuroscience, Washington University in St. Louis, St. Louis, MO, USA. akepecs@wustl.edu.
Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA. akepecs@wustl.edu.

Michal Lipson (M)

Department of Electrical Engineering, Columbia University, New York, NY, USA. ml3745@columbia.edu.

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