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Abstract #1294

Functional connectome through the human life span

Lianglong Sun1, Tengda Zhao1, Xinyuan Liang1, Mingrui Xia1, Qiongling Li1, Xuhong Liao1, Gaolang Gong1, Qian Wang1, Chenxuan Pang1, Qian Yu1, and Yong He1
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China

Synopsis

Keywords: Functional Connectivity, Brain Connectivity, brain chart, brain atlas, lifespan, connectomics

Motivation: The normative developmental and aging trajectory of the functional connectome in the human brain remains unknown.

Goal(s): To establish the normative growth trajectory of functional connectome from the largest, quality-controlled multimodal neuroimaging dataset.

Approach: We aggregated 33,809 task-free fMRI scans from 32,328 individuals aged 32 postmenstrual weeks to 80 years from 119 global sites, and quantified lifespan growth charts using generalized additive models for location, scale, and shape (GAMLSS).

Results: We uncovered nonlinear connectome growth at the whole cortex, system, and regional levels, identified critical developmental inflection points, and demonstrated substantial individual heterogeneities in patients with ASD and patients with MDD.

Impact: Our findings elucidate for the first time the lifespan evolution of the functional connectome and serve as a normative reference for quantifying individual variation in patients with neuropsychiatric disorders.

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Keywords