Evaluating the evolution and inter-individual variability of infant functional module development from 0 to 5 yr old

2025/04/01 by Lingbin Bian, Nizhuan Wang, Yuanning Li +4
Neuroscience · #Functional Brain Connectivity Studies #Memory and Neural Mechanisms #Neural dynamics and brain function

paper · doi:10.1093/cercor/bhaf071

openalex publication_date 2025/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

The segregation and integration of infant brain networks undergo tremendous changes due to the rapid development of brain function and organization. In this paper, we introduce a novel approach utilizing Bayesian modeling to analyze the dynamic development of functional modules in infants over time. This method retains inter-individual variability and, in comparison with conventional group averaging techniques, more effectively detects modules, taking into account the stationarity of module evolution. Furthermore, we explore gender differences in module development under awake and sleep conditions by assessing modular similarities. Our results show that female infants demonstrate more distinct modular structures between these 2 conditions, possibly implying relative quiet and restful sleep compared with male infants.

Citations

• Dynamic functional connectivity using state-based dynamic community structure: Method and application to opioid analgesia
• Dynamic reconfiguration of human brain networks during learning
• The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development
• BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets
• Characterising group-level brain connectivity: A framework using Bayesian exponential random graph models
• Identification of community structure-based brain states and transitions using functional MRI
• Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising

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