The spatial structure of resting state connectivity stability on the scale of minutes.
The spatial structure of resting state connectivity stability on the scale of minutes.
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DOI：
10.3389/fnins.2014.00138
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发表时间：
2014
影响因子：
4.3
通讯作者：
Bandettini PA
中科院分区：
文献类型：
--
作者：
Gonzalez-Castillo J;Handwerker DA;Robinson ME;Hoy CW;Buchanan LC;Saad ZS;Bandettini PA
静息状态功能性MRI（rsfMRI）连接模式在时间上不稳定，但在短于最常见的静息扫描持续时间（5-10分钟）的尺度上波动。因此，同一扫描的两个不同部分的连接模式可能会有很大不同。为了更好地描述这种时间变异性并了解其在大脑中的空间分布，我们以1秒的时间分辨率连续扫描受试者60分钟，同时他们在扫描仪内休息。然后，我们计算了功能定义的感兴趣区域之间的非重叠1 min窗口的连接矩阵，并根据其强度，极性和可变性对连接进行分类。我们发现，最稳定的连接主要对应于左/右同源ROI之间的半球间连接。然而，只有32%的网络内连接被归类为最稳定。这表明静息态网络具有一定的长期稳定性，但也证实了这些网络的灵活配置，特别是那些与高阶认知功能相关的网络。最多变的连接主要对应于枕叶和额叶皮质中非同源区域之间的半球间跨网络连接。最后，我们发现了一系列具有负平均相关性的联系，但进一步的分析表明，这种平均负相关性可能与预处理过程中CSF信号的去除有关。使用相同的数据集，我们还评估了受试者内全脑连接矩阵的相似性如何随窗口持续时间（此处用作扫描持续时间的代理）而变化。我们的研究结果表明，扫描至少10分钟，以优化整个大脑连接模式的受试者内重现性，而不是一些预定义的网络。
Resting state functional MRI (rsfMRI) connectivity patterns are not temporally stable, but fluctuate in time at scales shorter than most common rest scan durations (5–10 min). Consequently, connectivity patterns for two different portions of the same scan can differ drastically. To better characterize this temporal variability and understand how it is spatially distributed across the brain, we scanned subjects continuously for 60 min, at a temporal resolution of 1 s, while they rested inside the scanner. We then computed connectivity matrices between functionally-defined regions of interest for non-overlapping 1 min windows, and classified connections according to their strength, polarity, and variability. We found that the most stable connections correspond primarily to inter-hemispheric connections between left/right homologous ROIs. However, only 32% of all within-network connections were classified as most stable. This shows that resting state networks have some long-term stability, but confirms the flexible configuration of these networks, particularly those related to higher order cognitive functions. The most variable connections correspond primarily to inter-hemispheric, across-network connections between non-homologous regions in occipital and frontal cortex. Finally we found a series of connections with negative average correlation, but further analyses revealed that such average negative correlations may be related to the removal of CSF signals during pre-processing. Using the same dataset, we also evaluated how similarity of within-subject whole-brain connectivity matrices changes as a function of window duration (used here as a proxy for scan duration). Our results suggest scanning for a minimum of 10 min to optimize within-subject reproducibility of connectivity patterns across the entire brain, rather than a few predefined networks.
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影响因子：
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通讯作者：
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