Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona, Barcelona, Spain; Institute of Complex Systems, Universitat de Barcelona, Barcelona, Spain; Institute of Neuroscience, Universitat de Barcelona, Barcelona, Spain.
Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona, Barcelona, Spain; Institute of Complex Systems, Universitat de Barcelona, Barcelona, Spain; Institute of Neuroscience, Universitat de Barcelona, Barcelona, Spain.
Dev Cogn Neurosci. 2024 Oct;69:101438. doi: 10.1016/j.dcn.2024.101438. Epub 2024 Aug 15.
This systematic review considered evidence of children's and adolescents' typical brain connectivity development studied through resting-state functional magnetic resonance imaging (rs-fMRI). With aim of understanding the state of the art, what has been researched thus far and what remains unknown, this paper reviews 58 studies from 2013 to 2023. Considering the results, rs-fMRI stands out as an appropriate technique for studying language and attention within cognitive domains, and personality traits such as impulsivity and empathy. The most used analyses encompass seed-based, independent component analysis (ICA), the amplitude of the low frequency fluctuations (ALFF), and fractional ALFF (fALFF). The findings highlight key themes, including age-related changes in intrinsic connectivity, sex-specific patterns, and the relevance of the Default Mode Network (DMN). Overall, there is a need for longitudinal approaches to trace the typical developmental trajectory of neural networks from childhood through adolescence with fMRI at rest.
本系统综述考虑了通过静息态功能磁共振成像 (rs-fMRI) 研究儿童和青少年典型大脑连接发展的证据。为了了解该领域的现状、迄今为止的研究内容和未知领域，本文回顾了 2013 年至 2023 年的 58 项研究。考虑到这些结果，rs-fMRI 是研究语言和认知领域注意力以及人格特质（如冲动和同理心）的合适技术。最常用的分析方法包括基于种子的、独立成分分析 (ICA)、低频波动幅度 (ALFF) 和分数 ALFF (fALFF)。研究结果强调了一些关键主题，包括与年龄相关的内在连接变化、性别特异性模式以及默认模式网络 (DMN) 的相关性。总体而言，需要采用纵向方法，利用静息态 fMRI 来追踪从儿童期到青春期神经网络的典型发育轨迹。
