Tracking Whole-Brain Connectivity Dynamics in the Resting State
Tracking Whole-Brain Connectivity Dynamics in the Resting State
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DOI：
10.1093/cercor/bhs352
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发表时间：
2014-03-01
期刊：
影响因子：
3.7
通讯作者：
Calhoun, Vince D.
中科院分区：
文献类型：
--
作者：
Allen, Elena A.;Damaraju, Eswar;Calhoun, Vince D.
自发波动是神经信号记录的标志，在跨越毫秒和数十分钟的时间尺度上出现。然而，基于静息态功能磁共振成像的内在脑组织的调查在很大程度上没有考虑到时间变异性的存在和潜力，因为大多数目前的方法来检查功能连接（FC）隐含地假设关系是恒定的整个长度的记录。在这项工作中，我们描述了一种方法来评估全脑FC动态的基础上，空间独立成分分析，滑动时间窗口相关性，和k均值聚类的窗口相关矩阵。该方法适用于从一个大样本（n 405）的年轻成年人的休息状态数据。我们的FC变异性的分析突出了特别灵活的连接在侧顶叶和扣带皮层区域之间，并反对标签计划，这些地区被视为单独的和拮抗性的实体。此外，聚类分析揭示了意想不到的FC状态，部分偏离固定的连接模式和挑战目前的描述大规模网络之间的相互作用。不同FC状态发生的时间趋势激发了关于它们的功能作用和与警惕/唤醒的关系的理论。总的来说，我们认为，FC随时间变化的方面的研究可以揭示不同的神经系统之间的功能协调的灵活性，并在进一步的调查中利用这些动态可能会提高我们对行为转变和适应过程的理解。
Spontaneous fluctuations are a hallmark of recordings of neural signals, emergent over time scales spanning milliseconds and tens of minutes. However, investigations of intrinsic brain organization based on resting-state functional magnetic resonance imaging have largely not taken into account the presence and potential of temporal variability, as most current approaches to examine functional connectivity (FC) implicitly assume that relationships are constant throughout the length of the recording. In this work, we describe an approach to assess whole-brain FC dynamics based on spatial independent component analysis, sliding time window correlation, and k-means clustering of windowed correlation matrices. The method is applied to resting-state data from a large sample (n 405) of young adults. Our analysis of FC variability highlights particularly flexible connections between regions in lateral parietal and cingulate cortex, and argues against a labeling scheme where such regions are treated as separate and antagonistic entities. Additionally, clustering analysis reveals unanticipated FC states that in part diverge strongly from stationary connectivity patterns and challenge current descriptions of interactions between large-scale networks. Temporal trends in the occurrence of different FC states motivate theories regarding their functional roles and relationships with vigilance/arousal. Overall, we suggest that the study of time-varying aspects of FC can unveil flexibility in the functional coordination between different neural systems, and that the exploitation of these dynamics in further investigations may improve our understanding of behavioral shifts and adaptive processes.