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Updated: Oct 20, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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Predicting brain age during typical and atypical development based on structural and functional neuroimaging.

Qi Wang^1,2, Ke Hu^1,2, Meng Wang^1,2

¹Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Human Brain Mapping

|September 14, 2021

Summary

This study developed a sex-specific brain age model using MRI to analyze brain development in autism. Autistic individuals showed delayed development, with premature development linked to higher autism symptom severity.

Keywords:

autism spectrum disorder brain age prediction developmental heterogeneity multimodal magnetic resonance imaging predictor weights analysis

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Last Updated: Oct 20, 2025

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Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Area of Science:

Neuroscience
Developmental Psychology
Medical Imaging

Background:

Understanding typical and atypical brain development is crucial for identifying mechanisms of mental disorders.
Sex-specific models are needed to investigate developmental deviations in disorders like autism spectrum disorder.

Purpose of the Study:

To establish a precise, sex-specific brain age prediction model using multimodal MRI data.
To analyze brain development trajectories in autism spectrum disorder and identify factors influencing severity.

Main Methods:

Utilized partial least squares regression and stacking algorithms.
Employed T1-weighted structural MRI and resting-state functional MRI.
Validated the model on four independent datasets.

Main Results:

The sex-specific brain age model demonstrated strong generalization and robustness.
Autistic patients exhibited a significantly smaller brain age gap, suggesting delayed development.
Within the autism group, premature development correlated with higher Autism Diagnostic Observation Schedule (ADOS) scores, indicating greater severity.

Conclusions:

Developed an accurate model for typical brain development trajectories.
Created a novel method for analyzing atypical trajectories, accounting for sex differences and individual heterogeneity.
The findings offer valuable insights into the relationship between brain development and mental disorders.