| Literature DB >> 33221440 |
Fengmei Fan1, Xuhong Liao2, Tianyuan Lei3, Tengda Zhao3, Mingrui Xia3, Weiwei Men4, Yanpei Wang5, Mingming Hu5, Jie Liu5, Shaozheng Qin3, Shuping Tan6, Jia-Hong Gao7, Qi Dong5, Sha Tao8, Yong He9.
Abstract
The default-mode network (DMN) is a set of functionally connected regions that play crucial roles in internal cognitive processing. Previous resting-state fMRI studies have demonstrated that the intrinsic functional organization of the DMN undergoes remarkable reconfigurations during childhood and adolescence. However, these studies have mainly focused on cross-sectional designs with small sample sizes, limiting the consistency and interpretations of the findings. Here, we used a large sample of longitudinal resting-state fMRI data comprising 305 typically developing children (6-12 years of age at baseline, 491 scans in total) and graph theoretical approaches to delineate the developmental trajectories of the functional architecture of the DMN. For each child, the DMN was constructed according to a prior parcellation with 32 brain nodes. We showed that the overall connectivity increased in strength from childhood to adolescence and became spatially similar to that in the young adult group (N = 61, 18-28 years of age). These increases were primarily located in the midline structures. Global and local network efficiency in the DMN also increased with age, indicating an enhanced capability in parallel information communication within the brain system. Based on the divergent developmental rates of nodal centrality, we identified three subclusters within the DMN, with the fastest rates in the cluster mainly comprising the anterior medial prefrontal cortex and posterior cingulate cortex. Together, our findings highlight the developmental patterns of the functional architecture in the DMN from childhood to adolescence, which has implications for the understanding of network mechanisms underlying the cognitive development of individuals.Entities:
Keywords: Children; Connectome; Default-mode network; Development; Resting-state fMRI
Year: 2020 PMID: 33221440 DOI: 10.1016/j.neuroimage.2020.117581
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556