Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study
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 a...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-02-01
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| Series: | NeuroImage |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811920310661 |
| _version_ | 1818327845313708032 |
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| author | Fengmei Fan Xuhong Liao Tianyuan Lei Tengda Zhao Mingrui Xia Weiwei Men Yanpei Wang Mingming Hu Jie Liu Shaozheng Qin Shuping Tan Jia-Hong Gao Qi Dong Sha Tao Yong He |
| author_facet | Fengmei Fan Xuhong Liao Tianyuan Lei Tengda Zhao Mingrui Xia Weiwei Men Yanpei Wang Mingming Hu Jie Liu Shaozheng Qin Shuping Tan Jia-Hong Gao Qi Dong Sha Tao Yong He |
| author_sort | Fengmei Fan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T12:22:44Z |
| format | Article |
| id | doaj.art-09ffff81740f421fa153041bb5724b9d |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-13T12:22:44Z |
| publishDate | 2021-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-09ffff81740f421fa153041bb5724b9d2022-12-21T23:46:33ZengElsevierNeuroImage1095-95722021-02-01226117581Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI studyFengmei Fan0Xuhong Liao1Tianyuan Lei2Tengda Zhao3Mingrui Xia4Weiwei Men5Yanpei Wang6Mingming Hu7Jie Liu8Shaozheng Qin9Shuping Tan10Jia-Hong Gao11Qi Dong12Sha Tao13Yong He14State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, ChinaSchool of Systems Science, Beijing Normal University, Beijing 100875, China; Corresponding authors at: School of Systems Science, Beijing Normal University, Beijing 100875, China (Xuhong Liao); State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China (Sha Tao and Yong He).State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Beijing City Key Laboratory for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing 100871, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, ChinaBeijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, ChinaCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Beijing City Key Laboratory for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing 100871, China; IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Corresponding authors at: School of Systems Science, Beijing Normal University, Beijing 100875, China (Xuhong Liao); State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China (Sha Tao and Yong He).State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing 102206, China; Corresponding authors at: School of Systems Science, Beijing Normal University, Beijing 100875, China (Xuhong Liao); State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China (Sha Tao and Yong He).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.http://www.sciencedirect.com/science/article/pii/S1053811920310661Default-mode networkChildrenConnectomeDevelopmentResting-state fMRI |
| spellingShingle | Fengmei Fan Xuhong Liao Tianyuan Lei Tengda Zhao Mingrui Xia Weiwei Men Yanpei Wang Mingming Hu Jie Liu Shaozheng Qin Shuping Tan Jia-Hong Gao Qi Dong Sha Tao Yong He Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study NeuroImage Default-mode network Children Connectome Development Resting-state fMRI |
| title | Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study |
| title_full | Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study |
| title_fullStr | Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study |
| title_full_unstemmed | Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study |
| title_short | Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study |
| title_sort | development of the default mode network during childhood and adolescence a longitudinal resting state fmri study |
| topic | Default-mode network Children Connectome Development Resting-state fMRI |
| url | http://www.sciencedirect.com/science/article/pii/S1053811920310661 |
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