Doucet Gaelle E, Goldsmith Callum, Myers Katrina, Rice Danielle L, Ende Grace, Pavelka Derek J, Joliot Marc, Calhoun Vince D, Wilson Tony W, Uddin Lucina Q
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Pediatric Brain Health, Boys Town National Research Hospital, Boys Town, NE, USA; Department of Pharmacology and Neuroscience, Creighton University School of Medicine, Omaha, NE, USA.
Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, USA.
Dev Cogn Neurosci. 2025 Apr;72:101523. doi: 10.1016/j.dcn.2025.101523. Epub 2025 Feb 7.
It is well accepted that the brain is functionally organized into multiple networks and extensive literature has demonstrated that the organization of these networks shows major changes during adolescence. Yet, there is limited option for a reference functional brain atlas derived from typically-developing adolescents, which is problematic as the reliable identification of functional brain networks crucially depends on the use of such reference functional atlases. In this context, we utilized resting-state functional MRI data from 1391 typically-developing youth aged 8-17 years to create an adolescent-specific reference atlas of functional brain networks. We further investigated the impact of age and sex on these networks. Using a multiscale individual component clustering algorithm, we identified 24 reliable functional brain networks, classified within six domains: Default-Mode (5 networks), Control (4 networks), Salience (3 networks), Attention (4 networks), Somatomotor (5 networks), and Visual (3 networks). We identified reliable and large effects of age on the spatial topography of these majority of networks, as well as on the functional network connectivity. Sex effects were not as widespread. We created a novel brain atlas, named Dev-Atlas, focused on a typically-developing sample, with the hope that this atlas can be used in future developmental neuroscience studies.
人们普遍认为,大脑在功能上被组织成多个网络,大量文献表明,这些网络的组织在青春期会发生重大变化。然而,来自发育正常青少年的参考功能脑图谱选择有限,这是个问题,因为功能脑网络的可靠识别关键取决于此类参考功能图谱的使用。在此背景下,我们利用了1391名8至17岁发育正常青少年的静息态功能磁共振成像数据,创建了一个针对青少年的功能脑网络参考图谱。我们进一步研究了年龄和性别对这些网络的影响。使用多尺度个体成分聚类算法,我们识别出24个可靠的功能脑网络,分为六个领域:默认模式(5个网络)、控制(4个网络)、突显(3个网络)、注意力(4个网络)、躯体运动(5个网络)和视觉(3个网络)。我们确定了年龄对这些大多数网络的空间拓扑结构以及功能网络连通性具有可靠且显著的影响。性别影响没有那么广泛。我们创建了一个名为Dev-Atlas的新型脑图谱,专注于发育正常的样本,希望这个图谱能在未来的发育神经科学研究中得到应用。