Evolution of brain network dynamics in neurodevelopment
Evolution of brain network dynamics in neurodevelopment
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DOI：
10.1162/netn_a_00001
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发表时间：
2017-01-01
影响因子：
4.7
通讯作者：
Bassett, Danielle S.
中科院分区：
文献类型：
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作者：
Chai, Lucy R.;Khambhati, Ankit N.;Bassett, Danielle S.
认知功能随着发育而显着发展，从而能够灵活控制人类行为。然而，这些功能如何在空间分布和动态交互的网络或图形中实例化，从童年到青春期的结构变化还远未可知。在这里，我们应用一种新颖的机器学习方法来跟踪来自费城神经发育队列的 200 名健康青少年（8-11 岁和 19-22 岁）样本中静止时大脑中连续重叠和随时间变化的子图。我们发现了一组子图，这些子图捕获了已知认知系统之间令人惊讶的集成和动态变化的交互。我们观察到，高表达的子图尤其短暂，随着时间的推移在高表达和低表达之间灵活切换。这种短暂性在主要连接执行系统额顶叶区域的子图中尤其明显，从童年到成年早期，该区域的表达和灵活性都在增加。总的来说，这些结果表明，健康发展伴随着执行网络的优先级不断提高以及服务于这些网络的区域和互动的更大转换。
Cognitive function evolves significantly over development, enabling flexible control of human behavior. Yet, how these functions are instantiated in spatially distributed and dynamically interacting networks, or graphs, that change in structure from childhood to adolescence is far from understood. Here we applied a novel machine-learning method to track continuously overlapping and time-varying subgraphs in the brain at rest within a sample of 200 healthy youth (ages 8-11 and 19-22) drawn from the Philadelphia Neurodevelopmental Cohort. We uncovered a set of subgraphs that capture surprisingly integrated and dynamically changing interactions among known cognitive systems. We observed that subgraphs that were highly expressed were especially transient, flexibly switching between high and low expression over time. This transience was particularly salient in a subgraph predominantly linking frontoparietal regions of the executive system, which increases in both expression and flexibility from childhood to young adulthood. Collectively, these results suggest that healthy development is accompanied by an increasing precedence of executive networks and a greater switching of the regions and interactions subserving these networks.