The Functional Relevance of Task-State Functional Connectivity
The Functional Relevance of Task-State Functional Connectivity
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DOI：
10.1523/jneurosci.1713-20.2021
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发表时间：
2021-03-24
影响因子：
5.3
通讯作者：
Sanchez-Romero, Ruben
中科院分区：
文献类型：
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作者：
Cole, Michael W.;Ito, Takuya;Sanchez-Romero, Ruben
静息态功能连接为内部大脑网络组织提供了深入的见解，但该内部网络组织与任务相关的变化的功能重要性仍不清楚。事实上，已知此类与任务相关的变化很小，这表明它们可能只有最小的功能相关性。另外，尽管幅度很小，但这些与任务相关的变化可能对于人脑通过区域间关系的快速变化自适应地改变其功能的能力至关重要。我们使用活动流映射（一种构建经验派生网络模型的方法）来量化任务状态功能连接（高于静息状态功能连接）在塑造（女性和男性）人脑认知任务激活方面的功能重要性。我们发现任务状态功能连接可用于更好地预测所有 24 个任务条件和所有 360 个测试的皮质区域的独立 fMRI 激活。此外，我们发现预测准确性受到个体特定功能连接模式的强烈驱动，而来自其他任务的功能连接模式（任务通用功能连接）仍然改进了静息状态功能连接之外的预测。此外，由于活动流模型模拟了任务诱发的激活（行为的基础）是如何生成的，因此这些结果可能为为什么先前的研究发现任务状态功能连接与个体行为差异之间的相关性提供了机制上的见解。这些发现表明，与任务相关的功能连接变化在动态重塑大脑网络组织、改变任务执行过程中神经活动的流动方面发挥着重要作用。
Resting-state functional connectivity has provided substantial insight into intrinsic brain network organization, yet the functional importance of task-related change from that intrinsic network organization remains unclear. Indeed, such task-related changes are known to be small, suggesting they may have only minimal functional relevance. Alternatively, despite their small amplitude, these task-related changes may be essential for the ability of the human brain to adaptively alter its functionality via rapid changes in inter-regional relationships. We used activity flow mapping-an approach for building empirically derived network models-to quantify the functional importance of task-state functional connectivity (above and beyond resting-state functional connectivity) in shaping cognitive task activations in the (female and male) human brain. We found that task-state functional connectivity could be used to better predict independent fMRI activations across all 24 task conditions and all 360 cortical regions tested. Further, we found that prediction accuracy was strongly driven by individual-specific functional connectivity patterns, while functional connectivity patterns from other tasks (task-general functional connectivity) still improved predictions beyond resting-state functional connectivity. Additionally, since activity flow models simulate how task-evoked activations (which underlie behavior) are generated, these results may provide mechanistic insight into why prior studies found correlations between task-state functional connectivity and individual differences in behavior. These findings suggest that task-related changes to functional connections play an important role in dynamically reshaping brain network organization, shifting the flow of neural activity during task performance.