Examining while using the resting‐state functional magnetic resonance imaging (rs‐fMRI) of brain development in terms of functional connectivity between childhood and adulthood in healthy subjects gives important information. In this study, it was aimed to examine the changes in functional networks between healthy age groups by using rs‐fMRI for prepuberty (childhood), puberty, and adolescence by examining changes within and between networks. The rs‐fMRI data in this study were obtained from the New York University Child Study in ADHD200 database. The data that 53 healthy subjects selected from the New York University dataset were split into three groups in the 8‐9, 13‐14, and 16‐18 age ranges, and these groups included 18, 18, and 17 healthy subjects, respectively. The functional connectivity of data that preprocessed using the statistical parametric mapping routine was analyzed with ROI‐to‐ROI analysis by the CONN toolbox and the changes in the resting brain networks were obtained. Multiple voxel comparisons in statistical analyses were determined with the false discovery rate corrected p value (p‐FDR), p < .05 for positive and negative correlations. According to our findings, within‐network connectivity increases from childhood to young adulthood, and the connection between networks is weaker in childhood, also it has many dispersed connections, but less and strong links came out with advancing age. In addition, the brain begins to show a number of functional differences in adolescence, along with new changes that occur. The examination of resting‐state networks in healthy children will make significant contributions to the scientific infrastructure and literature in terms of both identifying normal brain development and comparing it with neurological and psychiatric problems.

中文翻译：

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从童年到青年大脑网络的功能连接差异

在使用静息态功能磁共振成像 (rs-fMRI) 的大脑发育时检查健康受试者童年和成年之间的功能连接提供了重要信息。在这项研究中，旨在通过检查网络内部和网络之间的变化，使用 rs-fMRI 检测青春期前（儿童期）、青春期和青春期的功能网络变化。本研究中的 rs-fMRI 数据来自纽约大学儿童研究 ADHD200 数据库。从纽约大学数据集中选出的 53 名健康受试者的数据分为 8-9、13-14 和 16-18 岁三个组，这些组分别包括 18、18 和 17 名健康受试者。使用统计参数映射程序预处理的数据的功能连通性通过 CONN 工具箱的 ROI-to-ROI 分析进行分析，并获得静息大脑网络的变化。统计分析中的多个体素比较由错误发现率校正 p 值 (p-FDR) 确定，正相关和负相关 p < .05。根据我们的研究结果，从童年到青年时期，网络内的连通性增加，网络之间的联系在童年时期较弱，也有许多分散的联系，但随着年龄的增长，联系越来越少。此外，大脑在青春期开始表现出许多功能差异，以及出现的新变化。