Huang Lab

2026

1. Zhu T, Ouyang M, Tan S, Guo J, Zhang Z, Liu X, Liu R, Huang H. 2026. Diffusion-MRI-Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains. Advanced Science 13:e12752. [PubMed]
2. Zhao T^#, Ouyang M^#, Shou XJ^#, Zhang S, Ju J, Liao X, Han M, Sun L, Wang X, Xia Y, Hu D, Kang H, Guo J, Wang Q, Li M, Huo R, Liu Y, Yuan H, Peng Y^*, Huang H^*, He Y^*. 2026. Hierarchical maturation of structural brain connectomes from birth to childhood. Nature Communications 17(1):1945 [PubMed] (^#: co-first author). (^*: co-corresponding author). 
3. Wang J, Peng Q, Ouyang M, Li R, Wu W, Zhang L, Peng Y, Huang H. 2026. Functional changes of precuneus architecture across newborns, infants, and early adolescents. Scientific Reports (in press) [PubMed]
4. Wu W, Huang H, Zhu T, Tan S, Ouyang M. 2026. Developmental human brain connectome from fetal stage to early childhood. Developmental Cognitive Neuroscience 101704 [PubMed]
5. Hussain MA, He S, Adams HR, Anagnoustou E, Bellinger DC, Brueckner M, Chung WK, Cleveland J, Gelb BD, Goldmuntz E, Hagler Jr DJ, Huang H, McQuillen P, Miller T, Norris-Brilliant A, Porter Jr G, Thomas N, Tivarus M, Xu D, Shen Y, Newburger J, Grant P, Morton S, Ou Y. 2026. Machine learning to infer neurocognitive testing scores among adolescents and young adults with congenital heart disease. Communications Medicine (in press) [PubMed]
6. Xu Y, Zhao T, Jeon T, Ouyang M, Zhu T, Chalak L, Rollins N, Huang H. 2026. Structural and Functional Coupling in Neonates and its Prediction for Neurocognitive Outcomes. Journal of Pacific Rim Psychology (in press) [Journal of Pacific Rim Psychology]

7. Hu F, Tong J, Gardner M, Lifespan Brain Chart Consortium, Chen AA, Bethlehem RA, Seidlitz J, Li H, Alexander-Bloch A, Chen Y, Shinohara RT. 2026. dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts. Bioinformatics 42(1):btaf625.[PubMed]