Wang Yike, Lowerison Matthew R, Huang Zhe, You Qi, Lin Bing-Ze, Llano Daniel A, Song Pengfei
bioRxiv. 2025 Jun 17:2023.09.01.555789. doi: 10.1101/2023.09.01.555789.
Ultrasound localization microscopy (ULM) is an emerging imaging modality that resolves microvasculature in deep tissues with high spatial resolution. However, existing preclinical ULM applications are largely constrained to anesthetized animals, introducing confounding vascular effects such as vasodilation and altered hemodynamics. As such, ULM quantifications (e.g., vessel diameter, density, and flow velocity) may be confounded by the use of anesthesia, undermining the usefulness of ULM in practice. Here we introduce a method to address this limitation and achieve ULM imaging in awake mouse brain. Pupillary monitoring was used to support the presence of the awake state during ULM imaging. Vasodilation induced by isoflurane was observed by ULM. Upon recovery to the awake state, reductions in vessel density and flow velocity were observed across different brain regions. In the cortex, the effects induced by isoflurane are more pronounced on venous flow than on arterial flow. In addition, serial imaging of the same animal brain at weekly intervals demonstrated the highly robust longitudinal imaging capability of the proposed technique. The consistency was further verified through quantitative analysis on individual vessels, cortical regions of arteries and veins, and subcortical regions. This study demonstrates longitudinal ULM imaging in the awake mouse brain, which is crucial for many ULM brain applications that require awake and behaving animals.
超声定位显微镜(ULM)是一种新兴的成像方式,能够以高空间分辨率解析深部组织中的微血管。然而,现有的临床前ULM应用在很大程度上局限于麻醉动物,这会引入诸如血管舒张和血流动力学改变等混淆血管效应。因此,ULM定量分析(如血管直径、密度和流速)可能会因使用麻醉而受到混淆,从而削弱了ULM在实际应用中的实用性。在此,我们介绍一种方法来解决这一局限性,并在清醒小鼠脑中实现ULM成像。在ULM成像过程中,通过瞳孔监测来确认清醒状态的存在。通过ULM观察到异氟烷诱导的血管舒张。恢复到清醒状态后,在不同脑区观察到血管密度和流速降低。在皮质中,异氟烷对静脉血流的影响比对动脉血流的影响更明显。此外,每周对同一动物脑进行连续成像,证明了所提出技术具有高度稳健的纵向成像能力。通过对单个血管、皮质动脉和静脉区域以及皮质下区域进行定量分析,进一步验证了一致性。本研究展示了在清醒小鼠脑中进行纵向ULM成像,这对于许多需要清醒且行为正常动物的ULM脑应用至关重要。