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Abstract #1468

Mapping the Morphometric Similarity Network Across the Human Lifespan Using Normative Models in 33,937 Participants

Xinyuan Liang1, Lianglong Sun1, Mingrui Xia2, Qiongling Li2, Tengda Zhao2, Xuhong Liao2, Gaolang Gong2, Zaixu Cui3, Dingna Duan2, Chenxuan Pang2, and Yong He2
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China, 2Beijing Normal University, Beijing, China, 3Chinese Institute for Brain Research, Beijing, China

Synopsis

Keywords: Structural Connectivity, Normal development, Brain Connectivity, Functional Connectivity, Multimodal

Motivation: Cortical morphology represents the fundamental structural architecture of the cerebral cortex. However, the lifespan growth patterns of morphology-based structural networks remain unknown.

Goal(s): Model the lifespan growth of the morphometric network and its associations with the functional connectome.

Approach: We aggregated a neuroimaging dataset of 33,937 healthy participants aged 0 to 80 from 141 sites, constructing individual morphometric and functional networks to map normative growth patterns.

Results: Lifespan structural network growth shows connectivity strength decreasing in sensory regions and increasing in paralimbic regions. Coupling increased from birth to early adolescence, followed by a decline. Network phenotype deviations in patients significantly predicted clinical scores.

Impact: Our results reveal the lifespan evolution of the morphology-based structural network and provide a normative reference for assessing individual variations in development, aging, and neuropsychiatric disorders.

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