Centre for Interdisciplinary Research on Brain and Learning (CIRCA), Université de Montréal, Montréal, Quebec, Canada.
Department of Physiology and Pharmacology, Université de Montréal, Montréal, Quebec, Canada.
Nat Neurosci. 2024 Nov;27(11):2101-2114. doi: 10.1038/s41593-024-01756-7. Epub 2024 Sep 4.
Neurovascular coupling links brain activity to local changes in blood flow, forming the basis for non-invasive brain mapping. Using multiscale imaging, we investigated how vascular activity spatially relates to neuronal activity elicited by single whiskers across different columns and layers of mouse cortex. Here we show that mesoscopic hemodynamic signals quantitatively reflect neuronal activity across space but are composed of a highly heterogeneous pattern of responses across individual vessel segments that is poorly predicted by local neuronal activity. Rather, this heterogeneity is dependent on vessel directionality, specifically in thalamocortical input layer 4, where capillaries respond preferentially to neuronal activity patterns along their downstream perfusion domain. Thus, capillaries fine-tune blood flow based on distant activity and encode laminar-specific activity patterns. These findings imply that vascular anatomy sets a resolution limit on functional imaging signals, where individual blood vessels inaccurately report neuronal activity in their immediate vicinity but, instead, integrate activity patterns along the vascular arbor.
神经血管耦合将大脑活动与局部血流变化联系起来,为非侵入性脑图谱绘制奠定了基础。我们使用多尺度成像技术研究了血管活动如何在不同的小鼠皮层柱和层之间与单个胡须引发的神经元活动在空间上相关。在这里,我们表明,中观血流动力学信号在空间上定量反映神经元活动,但由个体血管段的反应高度异质组成,而局部神经元活动对其预测不佳。相反,这种异质性依赖于血管的方向性,特别是在丘脑皮层输入层 4 中,毛细血管优先响应沿其下游灌注域的神经元活动模式。因此,毛细血管根据远距离活动来精细调节血流,并编码层特异性活动模式。这些发现意味着血管解剖结构为功能成像信号设定了分辨率限制,其中单个血管不能准确报告其附近的神经元活动,而是整合沿血管树突的活动模式。