INSERM U1128, Laboratory of Neurophysiology and New Microscopy, Université de Paris, Paris, France.
INSERM, CNRS, Institut de la Vision, Sorbonne Université, Paris, France.
Nat Commun. 2020 Jun 11;11(1):2954. doi: 10.1038/s41467-020-16774-9.
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.
功能超声成像（fUS）是一种新兴技术，可检测大脑激活引发的脑血容量变化。在这里，我们通过在单个共定位脑区中结合功能超声和双光子显微镜（2PM）来研究 fUS 报告局部神经元激活的程度。我们使用机器学习方法，计算并验证特定神经元树突钙信号与在微观（2PM）和介观（fUS）水平测量的血管信号之间的传递函数。我们发现，传递函数在广泛的刺激范式和动物中具有稳健性，并在非常强的刺激下揭示了神经血管耦合的第二个血管成分。我们提出，传递函数可以作为可靠的定量报告来跟踪神经血管耦合动力学。
