Biophysical and neural basis of resting state functional connectivity: Evidence from non-human primates.
Biophysical and neural basis of resting state functional connectivity: Evidence from non-human primates.
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DOI：
10.1016/j.mri.2017.01.020
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发表时间：
2017-06
影响因子：
2.5
通讯作者：
Gore JC
中科院分区：
文献类型：
--
作者：
Chen LM;Yang PF;Wang F;Mishra A;Shi Z;Wu R;Wu TL;Wilson GH 3rd;Ding Z;Gore JC
功能性MRI已经从简单观察由任务或刺激引起的皮层活动引起的MRI信号的区域变化发展到在静息状态下无任务采集时间序列图像。这样的静息状态信号包含低频波动，其可以在体素之间相关，并且强相关区域被认为反映同步电路内的功能连接。静息状态功能连接（rsFC）的措施已被广泛采用的神经科学界，并正在使用和解释为内在的神经回路及其功能状态的指标，在广泛的应用，基础和临床。然而，已经有相对较少的工作报告，以验证是否区域间的相关性在静息状态波动的MRI（rsfMRI）信号实际上测量脑区域之间的功能连接，或建立MRI数据如何与其他指标的功能连接。在这篇简短的综述中，我们总结了最近的研究rsFC在介观尺度的皮层网络（100μm -10 mm）内的一个明确的功能区的初级躯体感觉皮层（S1），以及脊髓和脑白色物质在非人类灵长类动物，其中我们已经测量了静息状态相关性的空间模式，并验证了他们的解释与电生理信号和解剖连接。此外，我们强调，低频相关性是神经系统的一个普遍特征，这一点可以从它们在脊髓和白色物质中的存在得到证明。这些研究证明了高场MRI和侵入性测量在动物模型中的重要作用，可为人类成像研究的解释提供信息。
Functional MRI has evolved from simple observations of regional changes in MRI signals caused by cortical activity induced by a task or stimulus, to the development of task-free acquisitions of time series of images in a resting state. Such resting state signals contain low frequency fluctuations which may be correlated between voxels, and strongly correlated regions are deemed to reflect functional connectivity within synchronized circuits. Resting state functional connectivity (rsFC) measures have been widely adopted by the neuroscience community, and are being used and interpreted as indicators of intrinsic neural circuits and their functional states in a broad range of applications, both basic and clinical. However, there has been relatively little work reported that validates whether inter-regional correlations in resting state fluctuations of MRI (rsfMRI) signals actually measure functional connectivity between brain regions, or to establish how MRI data correlate with other metrics of functional connectivity. In this mini-review, we summarize recent studies of rsFC within mesoscopic scale cortical networks (100μm – 10mm) within a well defined functional region of primary somatosensory cortex (S1), as well as spinal cord and brain white matter in non-human primates, in which we have measured spatial patterns of resting state correlations and validated their interpretation with electrophysiological signals and anatomic connections. Moreover, we emphasize that low frequency correlations are a general feature of neural systems, as evidenced by their presence in spinal cord as well as white matter. These studies demonstrate the valuable role of high field MRI and invasive measurements in an animal model to inform the interpretation of human imaging studies.