Towards minimally invasive deep brain stimulation and imaging: A near-infrared upconversion approach.

Deep brain stimulation Imaging Near-Infrared light Noninvasive Optogenetics Upconversion nanoparticle (UCNP)

Journal

Neuroscience research
ISSN: 1872-8111
Titre abrégé: Neurosci Res
Pays: Ireland
ID NLM: 8500749

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 09 12 2019
revised: 07 01 2020
accepted: 08 01 2020
pubmed: 29 1 2020
medline: 5 1 2021
entrez: 29 1 2020
Statut: ppublish

Résumé

One of the most important goals in neuroscience and neuroengineering is noninvasive deep brain stimulation and imaging. Recently, lanthanide-doped upconversion nanoparticles (UCNPs) have been developed as a new class of optical actuators and labels to allow for the use of near-infrared light (NIR) to optogenetically stimulate and image neurons nestled in deep brain regions. Besides the high penetration depth of NIR excitation, UCNPs show advantages in neuronal imaging and stimulation due to their large anti-Stokes shifts, sharp emission bandwidths, low autofluorescence background, high resistance to photobleaching, high temporal resolution in photon conversion as well as high biocompatibility for in vivo applications. UCNP technology paves the way for minimally invasive deep brain stimulation and imaging with the potential for remote therapy. This review focuses on the recent development of UCNP applications in neuroscience, including UCNP-mediated NIR upconversion optogenetics as well as UCNP-assisted retrograde neuronal tracing and imaging.

Identifiants

pubmed: 31987879
pii: S0168-0102(20)30017-1
doi: 10.1016/j.neures.2020.01.005
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

59-65

Informations de copyright

Copyright © 2020 Elsevier B.V. and Japan Neuroscience Society. All rights reserved.

Auteurs

Shuo Chen (S)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, United States. Electronic address: shuoshu@gmail.com.

Jiang Wu (J)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, United States.

Alvan Cai (A)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, United States.

Natalie Gonzalez (N)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, United States.

Ruoyi Yin (R)

Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, United States.

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Classifications MeSH