bibtext: @InProceedings{ Li_Development_MICCAI2024,
                   author = { Li, Guoshi and Thung, Kim-Han and Taylor, Hoyt and Wu, Zhengwang and Li, Gang and Wang, Li and Lin, Weili and Ahmad, Sahar and Yap, Pew-Thian },
                   title = { { Development of Effective Connectome from Infancy to Adolescence } },
                   booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2024},
                   year = {2024},
                   publisher = {Springer Nature Switzerland},
                   volume = { LNCS 15003 },
                   month = {October},
                   pages = { pending },
                }
abstract: Delineating the normative developmental profile of functional connectome is important for both standardized assessment of individual growth and early detection of diseases. However, functional connectome has been mostly studied using functional connectivity (FC), where undirected connectivity strengths are estimated from statistical correlation of resting-state functional MRI (rs-fMRI) signals. To address this limitation, we applied regression dynamic causal modeling (rDCM) to delineate the developmental trajectories of effective connectivity (EC), the directed causal influence among neuronal populations, in whole-brain networks from infancy to adolescence (0-21 years old) based on high-quality rs-fMRI data from Baby Connectome Project (BCP) and Human Connectome Project Development (HCPD). Analysis with linear mixed model demonstrates significant age effect on the mean nodal EC which is best fit by a “U” shaped quadratic curve with minimal EC at around 2 years old. Further analysis indicates that five brain regions including the left and right cuneus, left precuneus, left supramarginal gyrus and right inferior temporal gyrus have the most significant age effect on nodal EC (p < 0.05, FDR corrected). Moreover, the frontoparietal control (FPC) network shows the fastest increase from early childhood (1-2 years) to adolescence (6-21 years) followed by the visual and salience networks. Our findings suggest complex nonlinear developmental profile of effective connectivity from infancy to adolescence, which may reflect dynamic structural and functional maturation during this critical growth period.
title: Development of Effective Connectome from Infancy to Adolescence
authors: Li, Guoshi Thung, Kim-Han Taylor, Hoyt Wu, Zhengwang Li, Gang Wang, Li Lin, Weili Ahmad, Sahar Yap, Pew-Thian