@article{YANG2026, 
author = {Hao-Han YANG and Jun-Lin HOU},
title = {Advances in the application of individualized white-matter functional networks in children and adolescents with attention-deficit/hyperactivity disorder},
year = {2026},
journal = {Chinese Journal of Contemporary Pediatrics},
volume = {28},
number = {9},
pages = {1157-1162},
keywords = {Attention-deficit/hyperactivity disorder, White matter, Functional network, Individualization, Child, Adolescent},
url = {https://www.sciopen.com/article/10.7499/j.issn.1008-8830.2604025},
doi = {10.7499/j.issn.1008-8830.2604025},
abstract = {Individualized white-matter functional networks provide a new paradigm for parsing individual differences and neural mechanisms in attention-deficit/hyperactivity disorder (ADHD) among children and adolescents. This review summarizes construction approaches for such networks, including clustering analysis and independent component analysis, and synthesizes current progress. Group-level studies in children with ADHD have shown increased white-matter functional connectivity in the default mode and sensorimotor networks, but decreased white-matter functional connectivity in attention-related networks; these connectivity abnormalities are associated with core symptoms and impairments in executive function. However, group analyses can obscure inter-individual network heterogeneity and overlook gray-white matter functional coupling, limiting clinical translation. Individualized white-matter functional networks hold promise as potential neuroimaging markers for early screening and precision intervention in ADHD, yet challenges persist, including methodological inconsistency and the difficulty of acquiring pediatric data.}
}