High-resolution fluorescence-guided transcranial ultrasound mapping in the live mouse brain.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
10 Dec 2021
Historique:
entrez: 8 12 2021
pubmed: 9 12 2021
medline: 9 12 2021
Statut: ppublish

Résumé

Understanding the physiological impact of transcranial ultrasound in rodent brains may offer an important preclinical model for human scale magnetic resonance–guided focused ultrasound methods. However, precision tools for high-resolution transcranial ultrasound targeting and real-time in vivo tracking of its effects at the mouse brain scale are currently lacking. We report a versatile bidirectional hybrid fluorescence-ultrasound (FLUS) system incorporating a 0.35-mm precision spherical-phased array ultrasound emission with a fiberscope-based wide-field fluorescence imaging. We show how the marriage between cortex-wide functional imaging and targeted ultrasound delivery can be used to transcranially map previously undocumented localized fluorescence events caused by reversible thermal processes and perform high-speed large-scale recording of neural activity induced by focused ultrasound. FLUS thus naturally harnesses the extensive toolbox of fluorescent tags and ultrasound’s localized bioeffects toward visualizing and causally perturbing a plethora of normal and pathophysiological processes in the living murine brain.

Identifiants

pubmed: 34878843
doi: 10.1126/sciadv.abi5464
pmc: PMC8654306
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

eabi5464

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS109885
Pays : United States
Organisme : NINDS NIH HHS
ID : UF1 NS107680
Pays : United States

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Auteurs

Hector Estrada (H)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.
Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Justine Robin (J)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.
Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Ali Özbek (A)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.
Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Zhenyue Chen (Z)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.
Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Anne Marowsky (A)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.

Quanyu Zhou (Q)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.
Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Daniel Beck (D)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.

Beau le Roy (B)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.

Michael Arand (M)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.

Shy Shoham (S)

Department of Ophthalmology and Tech4Health and Neuroscience Institutes, NYU Langone Health, New York, NY 10016, USA.

Daniel Razansky (D)

Institute of Pharmacology and Toxicology, University of Zurich, Switzerland.
Institute for Biomedical Engineering, Department of Information Technology and Electrical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland.

Classifications MeSH