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Abstract #0136

Structural connectome shapes the maturation of cortical morphology from childhood to adolescence

Xinyuan Liang1, Lianglong Sun1, Xuhong Liao2, Tianyuan Lei1, Mingrui Xia1, Dingna Duan1, Zilong Zeng1, Qiongling Li1, Zhilei Xu1, Weiwei Men3, Yanpei Wang1, Shuping Tan4, Jia-Hong Gao3, Shaozheng Qin1, Sha Tao1, Qi Dong1, Tengda Zhao1, and Yong He1
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 2School of Systems Science, Beijing Normal University, Beijing, China, 3Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China, 4Beijing Huilongguan Hospital, Beijing, China

Synopsis

Keywords: Structural Connectivity, Brain Connectivity, Adolescents

Motivation: Cortical thinning is an important hallmark of the maturation of brain morphology during childhood and adolescence. However, the connectome-based wiring mechanism that underlies cortical maturation remains unclear.

Goal(s): We aim to model how the maturational pattern of cortical morphology is shaped by white matter connectome architecture.

Approach: We integrated neuroimaging, connectome, transcriptome analyses and computational modeling.

Results: We found that the maturational patterns of cortical morphology are constrained by the white matter connectome and are particularly represented using a network-based diffusion model. Such constraints are predominantly located in frontoparietal nodes and are linked with the expression of genes associated with microstructural developmental processes.

Impact: Our results highlight the importance of white matter network structure in shaping the coordinated maturation of regional cortical morphology, which demonstrates the feasibility of using a network model to reveal the maturational principle of cortical morphology from childhood to adolescence.

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Keywords