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Mapping resting-state brain networks in conscious animals.

机译:在有意识的动物中绘制静止状态的大脑网络图。

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In the present study we mapped brain functional connectivity in the conscious rat at the "resting state" based on intrinsic blood-oxygenation-level dependent (BOLD) fluctuations. The conscious condition eliminated potential confounding effects of anesthetic agents on the connectivity between brain regions. Indeed, using correlational analysis we identified multiple cortical and subcortical regions that demonstrated temporally synchronous variation with anatomically well-defined regions that are crucial to cognitive and emotional information processing including the prefrontal cortex (PFC), thalamus and retrosplenial cortex. The functional connectivity maps created were stringently validated by controlling for false positive detection of correlation, the physiologic basis of the signal source, as well as quantitatively evaluating the reproducibility of maps. Taken together, the present study has demonstrated the feasibility of assessing functional connectivity in conscious animals using fMRI and thus provided a convenient and non-invasive tool to systematically investigate the connectional architecture of selected brain networks in multiple animal models.
机译:在本研究中,我们根据内在的血液氧合水平依赖性(BOLD)波动,在“静止状态”下绘制了意识大鼠的大脑功能连通性。意识状态消除了麻醉剂对大脑区域之间连通性的潜在混杂影响。确实,通过相关分析,我们确定了多个皮质和皮质下区域,这些区域表现出时间上的同步变化以及解剖学上明确的区域,这些区域对于认知和情感信息处理至关重要,包括前额叶皮层(PFC),丘脑和脾后皮质。通过控制相关性的误报检测,信号源的生理基础以及定量评估图的可重复性,严格验证了创建的功能连接图。综上所述,本研究证明了使用fMRI评估清醒动物的功能连通性的可行性,因此提供了一种方便且非侵入性的工具来系统地研究多种动物模型中所选大脑网络的连接结构。

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