Section on Functional Imaging Methods, NIMH, NIH, Bethesda, MD, USA.
Basque Center on Brain and Cognition, San Sebastian, Spain.
Neuroimage. 2019 Nov 15;202:116129. doi: 10.1016/j.neuroimage.2019.116129. Epub 2019 Aug 25.
Brain functional connectivity (FC) changes have been measured across seconds using fMRI. This is true for both rest and task scenarios. Moreover, it is well accepted that task engagement alters FC, and that dynamic estimates of FC during and before task events can help predict their nature and performance. Yet, when it comes to dynamic FC (dFC) during rest, there is no consensus about its origin or significance. Some argue that rest dFC reflects fluctuations in on-going cognition, or is a manifestation of intrinsic brain maintenance mechanisms, which could have predictive clinical value. Conversely, others have concluded that rest dFC is mostly the result of sampling variability, head motion or fluctuating sleep states. Here, we present novel analyses suggesting that rest dFC is influenced by short periods of spontaneous cognitive-task-like processes, and that the cognitive nature of such mental processes can be inferred blindly from the data. As such, several different behaviorally relevant whole-brain FC configurations may occur during a single rest scan even when subjects were continuously awake and displayed minimal motion. In addition, using low dimensional embeddings as visualization aids, we show how FC states-commonly used to summarize and interpret resting dFC-can accurately and robustly reveal periods of externally imposed tasks; however, they may be less effective in capturing periods of distinct cognition during rest.
脑功能连接(FC)变化已经使用 fMRI 在秒级范围内进行了测量。无论是在休息状态还是任务状态下都是如此。此外,人们普遍接受任务参与会改变 FC,并且在任务事件期间和之前对 FC 的动态估计可以帮助预测其性质和性能。然而,当涉及到休息时的动态 FC(dFC)时,其起源或意义尚无定论。一些人认为休息 dFC 反映了持续进行的认知波动,或者是内在大脑维持机制的表现,这可能具有预测性的临床价值。相反,其他人则得出结论,休息 dFC 主要是由于采样变异性、头部运动或波动的睡眠状态造成的。在这里,我们提出了新的分析结果,表明休息 dFC 受到短时间内自发认知任务样过程的影响,并且可以从数据中盲目推断出这些心理过程的认知性质。因此,即使在被试持续清醒且运动最小的情况下,在单次休息扫描期间也可能会出现几种不同的与行为相关的全脑 FC 配置。此外,我们使用低维嵌入作为可视化辅助手段,展示了 FC 状态——通常用于总结和解释休息时的 dFC——如何准确而稳健地揭示外部强加任务的时期;然而,它们在捕捉休息时独特认知时期方面可能效果较差。