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Mapping functional connectivity using cerebral blood flow in the mouse brain

机译:使用小鼠大脑中的脑血流绘制功能连接

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摘要

Brain function can be assessed from resting-state functional connectivity (rs-fc) maps, most commonly created by analyzing the dynamics of cerebral hemoglobin concentration. Here, we develop the use of Laser Speckle Contrast Imaging (LSCI) for mapping rs-fc using cerebral blood flow (CBF) dynamics. Because LSCI is intrinsically noisy, we used spatial and temporal averaging to sufficiently raise the signal-to-noise ratio for observing robust functional networks. Although CBF-based rs-fc maps in healthy mice are qualitatively similar to simultaneously-acquired [HbO(2)]-based maps, some quantitative regional differences were observed. These combined flow/concentration maps might help clarify mechanisms involved in network disruption during disease.
机译:可以从静止状态功能连接(rs-fc)图评估大脑功能,这通常是通过分析脑血红蛋白浓度的动态来创建的。在这里,我们开发了使用激光散斑对比度成像(LSCI)来使用脑血流(CBF)动力学绘制rs-fc的图。由于LSCI本质上是嘈杂的,因此我们使用空间和时间平均来充分提高信噪比,以观察强大的功能网络。尽管在健康小鼠中基于CBF的rs-fc图在质量上与同时获取的基于[HbO(2)]的图相似,但仍观察到一些定量的区域差异。这些组合的流量/浓度图可能有助于阐明疾病期间网络中断所涉及的机制。

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