Literature DB >> 34333106

High-sensitivity detection of optogenetically-induced neural activity with functional ultrasound imaging.

Bradley Jay Edelman1, Giovanna D Ielacqua1, Russell W Chan1, Mazen Asaad2, Mankin Choy1, Jin Hyung Lee3.   

Abstract

Whole-brain imaging approaches and optogenetic manipulations are powerful tools to map brain-wide neural circuits in vivo. To date, functional magnetic resonance imaging (fMRI) provides the most comprehensive evaluation of such large-scale circuitry. However, functional ultrasound imaging (fUSI) has recently emerged as a complementary imaging modality that can extend such measurements towards the context of diverse behavioral states and tasks. Nevertheless, in order to properly interpret the fUSI signal during these complicated scenarios, it must first be carefully validated against well-established technologies, such as fMRI, in highly controlled experimental settings. Here, to address this need, we compared subsequent fMRI and fUSI recordings in response to direct neuronal activation via optogenetics in the same animals under an identical anesthetic protocol. Specifically, we applied various intensities of light stimulation to the primary motor cortex (M1) of mice and compared the spatiotemporal dynamics of the elicited fMRI and fUSI signals. Overall, our general linear model analysis (t-scores) and time series analysis (z-scores) revealed that fUSI was more sensitive than fMRI for detecting optogenetically-induced neuronal activation. Local field potential recordings in the bilateral M1 and striatum also better co-localized with fUSI activation patterns than those of fMRI. Finally, the fUSI response contained distinct arterial and venous components that provide vascular readouts of neuronal activity with vessel-type specificity.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Functional magnetic resonance imaging; Motor cortex; Neural circuits; Optogenetics; functional ultrasound imaging

Mesh:

Year:  2021        PMID: 34333106      PMCID: PMC9584544          DOI: 10.1016/j.neuroimage.2021.118434

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   7.400


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