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2026

  1. Tsyporin J, Zhang M, Qi C, Segal A, Li X, Kim H, Choi SH, Pavlovic I, Bandiera S, Finn T, Kim SK, Shibata A, Nakamura T, Onishi K, Zhang Z, Hammarlund E, Su G, Salla N, Kachko J, Hawley C, Li S, Doyle DZ, Peng X, Nottoli T, Ruiz-Reig N, Tissir F, Nakagawa Y, Herzog E, Ma S, Gobeske K, Pattabiraman K, Shimogori T, Duque A, Fornito A, Huang H, Shibata M, Chen B, Sestan N. 2026. Competing programs shape cortical sensorimotor-association axis development. Nature, doi.org/10.1038/s41586-026-10699-x [PubMed]
  2. 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]
  3. 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).
  4. Luo H, Li H, Xiong S, Wang R, Li Z, Wang J, Hu D, Li H, Äyrämö SKP, Huang H*, Fan X*, Peng Y*. 2026. Clinical 2D MRI radiomics for infant brain age and trajectory modeling. iScience 29(8):116623. [PubMed] (*: co-corresponding author)
  5. Zhu T, Mohapatra S, Tan S, Ouyang M, Huang H. 2026. Mapping Functional Brain Organization Using Artificial Intelligence. Chemical & Biomedical Imaging 4(4): 469–484 [Chemical and Biomedical Imaging]
  6. 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 16(1):11094 [PubMed]
  7. Wu W, Huang H, Zhu T, Tan S, Ouyang M. 2026. Developmental human brain connectome from fetal stage to early childhood. Developmental Cognitive Neuroscience 79:101704 [PubMed]
  8. Bandoli G, Psaras C, Bakhireva LN, Burris HH, Ciciolla L, Coles CD, DeMauro SB, Osmundson SS, Merhar SL, Smith L, Acheson A, Bogdan R, Croff JM, Cutting LE, Conway KP, Fallin MD, Gao W, Garavan H, Gregory K, Gurka KK, Gurka MJ, Horan HL, Howlett KD, Howell BR, Huang H, Kable JA, LeBlanc KH, Linkersdörfer J, Marienfeld CB, McKelvey LM, Morris AS, Ou X, Peralta-Carcelen M, Pini N, Potter AS, Rogers CE, Sullivan EL, Sun S, Thompson WK, Thomason ME, Volk HE, Wilson S, Zgierska AE, Zink J, Smyser CD, Nelson CA, Chambers CD. 2026. Prenatal Substance Exposure and Birth Weight: Findings From the HEALthy Brain and Child Development Study. Pediatrics 157(6): e2025074604. [PubMed]
  9. 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 6(1):144 [PubMed]
  10. 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 20 [Journal of Pacific Rim Psychology]

  11. 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]