Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms
Metastable neural dynamics underlies cognitive performance across multiple behavioural paradigms
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DOI：
10.1002/hbm.25009
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发表时间：
2020-04-17
影响因子：
4.8
通讯作者：
Coyle, Damien
中科院分区：
文献类型：
--
作者：
Alderson, Thomas H.;Bokde, Arun L. W.;Coyle, Damien
尽管静息状态网络与各种认知能力相关，但这些局部区域如何协同表达特定的认知操作仍不清楚。理论和实证研究表明，大规模的静息态网络协调的亚稳态制度的协调动力学的整合和隔离的双重倾向。亚稳定性可以通过将分布的局部区域绑定到大规模的神经认知网络中来赋予重要的行为品质。我们通过分析健康个体（N = 566）的fMRI数据，并比较大脑在休息时和执行几项任务时的大规模静息网络结构的亚稳定性，来验证这一假设。亚稳态估计使用一个定义良好的集体变量捕捉随着时间的推移大规模网络之间的“锁相”的水平。任务型推理的主要特征是认知控制网络的亚稳态较高，感觉加工区域的亚稳态较低。虽然静息状态网络之间的亚稳定性在任务执行过程中增加，但认知能力与自发活动的联系更紧密。认知控制网络内在连通性的高亚稳定性与新问题解决或流体智力有关，但在依赖于先前经验或结晶智力的任务中不太重要。重要的是，具有类似于或“预先配置”到任务一般安排的休息架构的受试者表现出上级认知性能。总之，我们的研究结果支持大脑皮层中大规模网络的自发亚稳定性与认知之间的关键联系。
Despite resting state networks being associated with a variety of cognitive abilities, it remains unclear how these local areas act in concert to express particular cognitive operations. Theoretical and empirical accounts indicate that large-scale resting state networks reconcile dual tendencies towards integration and segregation by operating in a metastable regime of their coordination dynamics. Metastability may confer important behavioural qualities by binding distributed local areas into large-scale neurocognitive networks. We tested this hypothesis by analysing fMRI data in a large cohort of healthy individuals (N = 566) and comparing the metastability of the brain's large-scale resting network architecture at rest and during the performance of several tasks. Metastability was estimated using a well-defined collective variable capturing the level of 'phase-locking' between large-scale networks over time. Task-based reasoning was principally characterised by high metastability in cognitive control networks and low metastability in sensory processing areas. Although metastability between resting state networks increased during task performance, cognitive ability was more closely linked to spontaneous activity. High metastability in the intrinsic connectivity of cognitive control networks was linked to novel problem solving or fluid intelligence, but was less important in tasks relying on previous experience or crystallised intelligence. Crucially, subjects with resting architectures similar or 'pre-configured' to a task-general arrangement demonstrated superior cognitive performance. Taken together, our findings support a key linkage between the spontaneous metastability of large-scale networks in the cerebral cortex and cognition.