Pharmaco-fUS: Quantification of pharmacologically-induced dynamic changes in brain perfusion and connectivity by functional ultrasound imaging in awake mice - Archive ouverte HAL Access content directly
Journal Articles NeuroImage Year : 2020

Pharmaco-fUS: Quantification of pharmacologically-induced dynamic changes in brain perfusion and connectivity by functional ultrasound imaging in awake mice

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Abstract

There is a critical need for reliable quantitative biomarkers to assess functional brain alterations in mouse models of neuropsychiatric diseases, but current imaging methods measuring drug effects through the neurovascular coupling, face issues including poor sensitivity, drug-induced changes in global brain perfusion and the effects of anesthesia. Here we demonstrate the proof-of-concept of a minimally-invasive fUS imaging approach to detect the acute cholinergic modulatory effects of Scopolamine (ScoP) on functional brain connectivity in awake and behaving mice, through the intact skull. A machine-learning algorithm constructed an ad-hoc pharmacological score from the ScoP-induced changes in connectivity patterns of five mice. The discrimination model shows important ScoP-induced increase of the hippocampo-cortical connectivity. The pharmacological score led to robust discrimination of ScoP treatment from baseline in an independent dataset and showed, in another independent group, dose-dependent specific effects of central cholinergic modulation of functional connectivity, independent from global brain perfusion changes. In conclusion, we introduce pharmaco-fUS as a simple, robust, specific and sensitive modality to monitor drug effects on perfusion and functional connectivity in the awake mouse brain.
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inserm-02971488 , version 1 (19-10-2020)

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Claire Rabut, Jérémy Ferrier, Adrien Bertolo, Bruno Osmanski, Xavier Mousset, et al.. Pharmaco-fUS: Quantification of pharmacologically-induced dynamic changes in brain perfusion and connectivity by functional ultrasound imaging in awake mice. NeuroImage, 2020, 222, pp.117231. ⟨10.1016/j.neuroimage.2020.117231⟩. ⟨inserm-02971488⟩
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