Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro 76230, México.
Centro de Investigación Científica y de Educación Superior de Ensenada, Ensenada 22860, México.
eNeuro. 2023 Feb 15;10(2). doi: 10.1523/ENEURO.0296-21.2022. Print 2023 Feb.
Adolescence is a crucial developmental period in terms of behavior and mental health. Therefore, understanding how the brain develops during this stage is a fundamental challenge for neuroscience. Recent studies have modeled the brain as a network or connectome, mainly applying measures from graph theory, showing a change in its functional organization, such as an increase in its segregation and integration. Topological Data Analysis (TDA) complements such modeling by extracting high-dimensional features across the whole range of connectivity values instead of exploring a fixed set of connections. This study inquires into the developmental trajectories of such properties using a longitudinal sample of typically developing human participants ( = 98; 53/45 female/male; 6.7-18.1 years), applying TDA to their functional connectomes. In addition, we explore the effect of puberty on individual developmental trajectories. Results showed that the adolescent brain has a more distributed topology structure compared with random networks but is more densely connected at the local level. Furthermore, developmental effects showed nonlinear trajectories for the topology of the whole brain and fronto-parietal networks, with an inflection point and increasing trajectories after puberty onset. These results add to the insights into the development of the functional organization of the adolescent brain.
青春期是行为和心理健康发展的关键时期。因此,了解大脑在这个阶段如何发育是神经科学的一个基本挑战。最近的研究将大脑建模为网络或连接组,主要应用图论中的度量方法,显示其功能组织发生变化,例如隔离和整合的增加。拓扑数据分析 (TDA) 通过提取整个连接值范围内的高维特征来补充这种建模,而不是探索固定的连接集。本研究使用典型发育的人类参与者的纵向样本(n=98;53/45 女性/男性;6.7-18.1 岁),对他们的功能连接组进行 TDA,探讨了这些特性的发展轨迹。此外,我们还探讨了青春期对个体发展轨迹的影响。结果表明,与随机网络相比,青少年大脑具有更分散的拓扑结构,但在局部水平上连接更紧密。此外,整个大脑和额顶叶网络的拓扑结构的发展效应显示出非线性轨迹,在青春期开始后出现拐点和增加轨迹。这些结果增加了对青少年大脑功能组织发展的认识。