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The Not-So-Global Blood Oxygen Level-Dependent Signal

机译:并非如此的全球血氧水平依赖性信号

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摘要

Global signal regression is a controversial processing step for resting-state functional magnetic resonance imaging, partly because the source of the global blood oxygen level-dependent (BOLD) signal remains unclear. On the one hand, nuisance factors such as motion can readily introduce coherent BOLD changes across the whole brain. On the other hand, the global signal has been linked to neural activity and vigilance levels, suggesting that it contains important neurophysiological information and should not be discarded. Any widespread pattern of coordinated activity is likely to contribute appreciably to the global signal. Such patterns may include large-scale quasiperiodic spatiotemporal patterns, known also to be tied to performance on vigilance tasks. This uncertainty surrounding the separability of the global BOLD signal from concurrent neurological processes motivated an examination of the global BOLD signal's spatial distribution. The results clarify that although the global signal collects information from all tissue classes, a diverse subset of the BOLD signal's independent components contribute the most to the global signal. Further, the timing of each network's contribution to the global signal is not consistent across volunteers, confirming the independence of a constituent process that comprises the global signal.
机译:全局信号回归是用于静止状态功能磁共振成像的有争议的处理步骤,部分原因是尚不清楚全局血氧水平依赖性(BOLD)信号的来源。一方面,诸如运动之类的干扰因素很容易在整个大脑中引起连贯的BOLD变化。另一方面,全局信号已与神经活动和警惕性水平联系在一起,表明它包含重要的神经生理信息,不应丢弃。任何广泛的协调活动模式都可能对全球信号产生显着贡献。这样的模式可能包括大规模的准时空模式,也被认为与警惕任务的执行息息相关。围绕全局BOLD信号与并发神经过程的可分离性的不确定性促使人们检查全局BOLD信号的空间分布。结果表明,尽管全局信号收集了所有组织类别的信息,但BOLD信号的独立分量的不同子集对全局信号的​​贡献最大。此外,每个网络对全局信号的​​贡献的时间安排在志愿者之间不一致,从而确认了包含全局信号的​​组成过程的独立性。

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