Transfer functions linking neural calcium to single voxel functional ultrasound signal

Ali-Kemal Aydin, William D. Haselden, Yannick Goulam Houssen, Christophe Pouzat, Ravi L. Rungta, Charlie Demené, Mickael Tanter, Patrick J. Drew, Serge Charpak () and Davide Boido ()
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Ali-Kemal Aydin: Université de Paris
William D. Haselden: The Pennsylvania State University
Yannick Goulam Houssen: Université de Paris
Christophe Pouzat: CNRS UMR 8145
Ravi L. Rungta: Université de Paris
Charlie Demené: INSERM, CNRS, PSL Research University
Mickael Tanter: INSERM, CNRS, PSL Research University
Patrick J. Drew: The Pennsylvania State University
Serge Charpak: Université de Paris
Davide Boido: Université de Paris

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: Abstract Functional ultrasound imaging (fUS) is an emerging technique that detects changes of cerebral blood volume triggered by brain activation. Here, we investigate the extent to which fUS faithfully reports local neuronal activation by combining fUS and two-photon microscopy (2PM) in a co-registered single voxel brain volume. Using a machine-learning approach, we compute and validate transfer functions between dendritic calcium signals of specific neurons and vascular signals measured at both microscopic (2PM) and mesoscopic (fUS) levels. We find that transfer functions are robust across a wide range of stimulation paradigms and animals, and reveal a second vascular component of neurovascular coupling upon very strong stimulation. We propose that transfer functions can be considered as reliable quantitative reporters to follow neurovascular coupling dynamics.

Date: 2020
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DOI: 10.1038/s41467-020-16774-9

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