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个性化大脑网络中发展的可分离多尺度模式。

Dissociable multi-scale patterns of development in personalized brain networks.

机构信息

The Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Department of Psychiatry, Neurodevelopment & Psychosis Section, University of Pennsylvania, Philadelphia, PA, 19104, USA.

出版信息

Nat Commun. 2022 May 12;13(1):2647. doi: 10.1038/s41467-022-30244-4.

Abstract

The brain is organized into networks at multiple resolutions, or scales, yet studies of functional network development typically focus on a single scale. Here, we derive personalized functional networks across 29 scales in a large sample of youths (n = 693, ages 8-23 years) to identify multi-scale patterns of network re-organization related to neurocognitive development. We found that developmental shifts in inter-network coupling reflect and strengthen a functional hierarchy of cortical organization. Furthermore, we observed that scale-dependent effects were present in lower-order, unimodal networks, but not higher-order, transmodal networks. Finally, we found that network maturation had clear behavioral relevance: the development of coupling in unimodal and transmodal networks are dissociably related to the emergence of executive function. These results suggest that the development of functional brain networks align with and refine a hierarchy linked to cognition.

摘要

大脑在多个分辨率或尺度上组织成网络,但功能网络发展的研究通常集中在单一尺度上。在这里,我们在一个大样本的年轻人(n=693,年龄 8-23 岁)中跨 29 个尺度得出个性化的功能网络,以识别与神经认知发展相关的网络重新组织的多尺度模式。我们发现,网络间耦合的发展变化反映并加强了皮质组织的功能层次结构。此外,我们观察到,依赖于尺度的效应存在于较低阶的单模态网络中,但不存在于较高阶的跨模态网络中。最后,我们发现网络成熟具有明显的行为相关性:单模态和跨模态网络中耦合的发展与执行功能的出现分离相关。这些结果表明,功能脑网络的发展与与认知相关的层次结构相吻合,并对其进行了细化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3e2/9098559/52a08139e7a3/41467_2022_30244_Fig1_HTML.jpg

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