Macroscale variation in resting-state neuronal activity and connectivity assessed by simultaneous calcium imaging, hemodynamic imaging and electrophysiology.

Macroscale variation in resting-state neuronal activity and connectivity assessed by simultaneous calcium imaging, hemodynamic imaging and electrophysiology.
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DOI:
10.1016/j.neuroimage.2017.12.070
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发表时间:
2018-04-01
期刊:
影响因子:
5.7
通讯作者:
Vazquez AL
Vazquez AL
中科院分区:
医学1区
文献类型:
--
作者:
Murphy MC;Chan KC;Kim SG;Vazquez AL

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自发活动的功能成像继续在连接组学领域发挥重要作用。用于这些实验的最常见的成像信号是血氧水平依赖(BOLD)功能性MRI(fMRI)信号,但该信号与自发神经元活动的关系仍不完全清楚。遗传编码的钙指标代表了研究这个问题的一个有前途的工具,因为它们可以提供神经元活动的全脑测量相比,由电生理记录提供的点测量。然而,在介观尺度上的钙信号和神经生理参数之间的关系需要进一步的系统表征。因此,我们在轻度麻醉的小鼠中同时收集静息状态下的电生理学测量,沿着钙和血流动力学成像,以研究两个目的。首先,我们检查了每个成像信号和同时记录的电生理信号之间的关系,在一个单一的大脑区域,发现这两个信号更好地与多单位活动相比,局部场电位,具有更大的信噪比和区域特异性的钙信号。其次,我们使用静息状态成像数据来模拟钙和整个大脑的血流动力学信号之间的关系。我们发现,这种关系在不同的大脑区域之间存在差异,在不同的动物之间是一致的,向后皮质区域的延迟增加了0.6秒。此外,虽然通过血流动力学信号测量的整体功能连接(FC)与通过钙测量的FC显著相关,但发现这两种估计值显著不同。我们假设这些差异至少部分来自于观察到的血流动力学反应的区域变化。总的来说,这项工作突出了一些需要在解释血流动力学为基础的测量FC的警告,以及需要改进的建模方法,以减少这种潜在的偏差源。
Functional imaging of spontaneous activity continues to play an important role in the field of connectomics. The most common imaging signal used for these experiments is the blood-oxygen-level-dependent (BOLD) functional MRI (fMRI) signal, but how this signal relates to spontaneous neuronal activity remains incompletely understood. Genetically encoded calcium indicators represent a promising tool to study this problem, as they can provide brain-wide measurements of neuronal activity compared to point measurements afforded by electrophysiological recordings. However, the relationship between the calcium signal and neurophysiological parameters at the mesoscopic scale requires further systematic characterization. Therefore, we collected simultaneous resting-state measurements of electrophysiology, along with calcium and hemodynamic imaging, in lightly anesthetized mice to investigate two aims. First, we examined the relationship between each imaging signal and the simultaneously recorded electrophysiological signal in a single brain region, finding that both signals are better correlated with multi-unit activity compared to local field potentials, with the calcium signal possessing greater signal-to-noise ratio and regional specificity. Second, we used the resting-state imaging data to model the relationship between the calcium and hemodynamic signals across the brain. We found that this relationship varied across brain regions in a way that is consistent across animals, with delays increasing by 0.6 sec towards posterior cortical regions. Furthermore, while overall functional connectivity (FC) measured by the hemodynamic signal is significantly correlated with FC measured by calcium, the two estimates were found to be significantly different. We hypothesize that these differences arise at least in part from the observed regional variation in the hemodynamic response. In total, this work highlights some of the caveats needed in interpreting hemodynamic-based measurements of FC, as well as the need for improved modeling methods to reduce this potential source of bias.
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