Functional connectome stability and optimality are markers of cognitive performance
Functional connectome stability and optimality are markers of cognitive performance
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DOI：
10.1093/cercor/bhac396
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发表时间：
2022-11-19
期刊：
影响因子：
3.7
通讯作者：
Rosenberg, Monica D.
中科院分区：
文献类型：
--
作者：
Corriveau, Anna;Yoo, Kwangsun;Rosenberg, Monica D.
全脑功能磁共振成像功能连接模式，或连接组，是独特的个人。以前的工作已经确定了这些模式中的功能连接的子集，其强度预测了注意力和认知方面。然而，这些连接体的整体特征，例如它们随时间的稳定性以及它们与组平均（典型）或高性能（最佳）连接模式的相似性，也可能反映认知和注意力能力。在这里，我们测试是否表达更稳定，典型的，最佳的，和独特的模式的功能连接的个人表现更好的认知任务，使用数据从三个独立的样本。我们发现，具有更稳定的基于任务的功能连接模式的个体在注意力和工作记忆任务中表现更好，即使在控制行为表现稳定性时也是如此。此外，我们发现初步证据表明，具有更典型和最佳功能连接模式的个体在这些任务中也表现得更好。这些结果表明，个体内的功能连接体稳定性和个体间的相似性预测了认知的个体差异。
Patterns of whole-brain fMRI functional connectivity, or connectomes, are unique to individuals. Previous work has identified subsets of functional connections within these patterns whose strength predicts aspects of attention and cognition. However, overall features of these connectomes, such as how stable they are over time and how similar they are to a group-average (typical) or high-performance (optimal) connectivity pattern, may also reflect cognitive and attentional abilities. Here, we test whether individuals who express more stable, typical, optimal, and distinctive patterns of functional connectivity perform better on cognitive tasks using data from three independent samples. We find that individuals with more stable task-based functional connectivity patterns perform better on attention and working memory tasks, even when controlling for behavioral performance stability. Additionally, we find initial evidence that individuals with more typical and optimal patterns of functional connectivity also perform better on these tasks. These results demonstrate that functional connectome stability within individuals and similarity across individuals predicts individual differences in cognition.