Individual Variation in Functional Topography of Association Networks in Youth
Individual Variation in Functional Topography of Association Networks in Youth
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DOI：
10.1016/j.neuron.2020.01.029
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发表时间：
2020-04-22
期刊：
影响因子：
16.2
通讯作者：
Satterthwaite, Theodore D.
中科院分区：
文献类型：
--
作者：
Cui, Zaixu;Li, Hongming;Satterthwaite, Theodore D.
大脑皮层的大尺度功能网络的空间分布因人而异，在负责高阶认知的关联网络中尤其可变。然而，目前尚不清楚这种功能地形在发育过程中如何演变并支持认知。利用机器学习的进步和27分钟高质量功能MRI （fMRI）数据的大样本成像（n = 693，年龄8-23岁），我们描绘了青年时期功能地形的演变。我们发现，关联网络的功能地形随着年龄的增长而细化，从而可以准确预测未见过的个体的大脑成熟度。联想网络的皮层表征预测了执行功能的个体差异。最后，功能地形的可变性与大脑组织的基本特性有关，包括进化扩张、皮质髓鞘形成和脑血流。我们的研究结果强调了在发育过程中考虑功能性神经解剖学的可塑性和多样性的重要性，并提出了个性化治疗的进展。
The spatial distribution of large-scale functional networks on the cerebral cortex differs between individuals and is particularly variable in association networks that are responsible for higher-order cognition. However, it remains unknown how this functional topography evolves in development and supports cognition. Capitalizing on advances in machine learning and a large sample imaged with 27 min of high-quality functional MRI (fMRI) data (n = 693, ages 8-23 years), we delineate how functional topography evolves during youth. We found that the functional topography of association networks is refined with age, allowing accurate prediction of unseen individuals' brain maturity. The cortical representation of association networks predicts individual differences in executive function. Finally, variability of functional topography is associated with fundamental properties of brain organization, including evolutionary expansion, cortical myelination, and cerebral blood flow. Our results emphasize the importance of considering the plasticity and diversity of functional neuroanatomy during development and suggest advances in personalized therapeutics.