Huang Lab

2025

1. Kaur N, Kovner R, Gulden FO, Pletikos M, Andrijevic D, Zhu T, Silbereis J, Ma S, Salla N, de Martin X, Klaric TS, Liu T, Shibata A, Franjic D, Cho H, Yuen M, Chatterjee I, Burke M, Esakkimuthus D, Moser M, Santpere G, Minuer YS, Pattabiraman K, Picciotto MR, Huang H, Sestan N. 2025. Specification of Claustro-Amygdalar and Palaeocortical Neurons and Circuits. Nature 638:469-478. [PubMed]
2. Kwon H, Son SY, Morton SU, Wypij D, Cleveland J, Rollins CK, Huang H, Goldmuntz E, Panigrahy A, Thomas NH, Chung WK, Anagnostou E, Norris-Brilliant A, Gelb BD, McQuillen P, Porter GA, Tristani-Firouzi M, Russell MW, Roberts AE, Newburger JW, Grant PE, Lee JM, Im K. 2025. Graph-based Prototype Inverse-Projection for Identifying Cortical Sulcal Pattern Abnormalities in Congenital Heart Disease. Medical Image Analysis 102: 103538. [PubMed]

3. Otten K, Edgar JC, Green HL, Mol K, McNamee M, Kuschner ES, Kim M, Liu S, Huang H, Nordt M, Konrad K, Chen Y. 2025. The maturation of infant and toddler visual cortex neural activity and associations with fine motor performance. Developmental Cognitive Neuroscience 71: 101501. [PubMed]

4. Jelescu I, Grussu F, Ianus A, Hansen B, Barrett R, Aggarwal M, Michielse S, Nasrallah S, Syeda W, Wang N, Veraart J, Roebroeck A, Bagdasarian A, Eichner C, Sepehrband F, Zimmermann J, Soustelle L, Bowman C, Benjamin C Tendler, Hertanu A, Jeurissen B, Verhoye M, Frydman L, van de Looij Y, Hike D, Dunn F, Miller K, Landman B, Shemesh N, Anderson A, McKinnon E, Farquharson S, Dell' Acqua F, Pierpaoli C, Drobnjak I, Leemans A, Harkins K, Descoteaux M, Xu D, Huang H, Santin M, Grant S, Obenaus A, Kim G, Wu D,  Le Bihan D, Blackband S, Ciobanu L, Fieremans E, Bai R, Leergaard T, Zhang J, Dyrby T, Johnson GA, Cohen-Adad J, Budde M, Schilling K. 2025. Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1--In vivo small-animal imaging. Magnetic Resonance in Medicine. (in press) [Magnetic Resonance in Medicine]

5. Schilling K, Howard A, Grussu F, Ianus A, Hansen B, Barrett R, Aggarwal M, Michielse S, Nasrallah S, Syeda W, Wang N, Veraart J, Roebroeck A, Bagdasarian A, Eichner C, Sepehrband F, Zimmermann J, Soustelle L, Bowman C, Benjamin C Tendler, Hertanu A, Jeurissen B, Verhoye M, Frydman L, van de Looij Y, Hike D, Dunn F, Miller K, Landman B, Shemesh N, Anderson A, McKinnon E, Farquharson S, Dell' Acqua F, Pierpaoli C, Drobnjak I, Leemans A, Harkins K, Descoteaux M, Xu D, Huang H, Santin M, Grant S, Obenaus A, Kim G, Wu D,  Le Bihan D, Blackband S, Ciobanu L, Fieremans E, Bai R, Leergaard T, Zhang J, Dyrby T, Johnson GA, Cohen-Adad J, Budde M, Jelescu I. 2025. Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 - Ex vivo imaging: added value and acquisition. Magnetic Resonance in Medicine. (in press) [Magnetic Resonance in Medicine]
6. Schilling K, Howard A, Grussu F, Ianus A, Hansen B, Barrett R, Aggarwal M, Michielse S, Nasrallah S, Syeda W, Wang N, Veraart J, Roebroeck A, Bagdasarian A, Eichner C, Sepehrband F, Zimmermann J, Soustelle L, Bowman C, Benjamin C Tendler, Hertanu A, Jeurissen B, Verhoye M, Frydman L, van de Looij Y, Hike D, Dunn F, Miller K, Landman B, Shemesh N, Anderson A, McKinnon E, Farquharson S, Dell' Acqua F, Pierpaoli C, Drobnjak I, Leemans A, Harkins K, Descoteaux M, Xu D, Huang H, Santin M, Grant S, Obenaus A, Kim G, Wu D,  Le Bihan D, Blackband S, Ciobanu L, Fieremans E, Bai R, Leergaard T, Zhang J, Dyrby T, Johnson GA, Cohen-Adad J, Budde M, Jelescu I. 2025. Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3 - Ex vivo imaging: data processing, comparisons with microscopy, and tractography. Magnetic Resonance in Medicine. (in press) [Magnetic Resonance in Medicine]
7. Mondragon-Estrada E, Newburger JW, DePalma S, Brueckner M, Cleveland J, Chung WK, Gelb BD, Goldmunz E, Hagler DJ, Huang H, McQuillen P, Miller TA, PanigrahyA, Porter GA, Roberts AE, Rollins CK, Russell MW, Tristani-Firouzi M, Grant PE, Im K, Morton SU. 2025. Noncoding variants and sulcal patterns in congenital heart disease: machine learning to predict functional impact. iScience 28(2) 111707.[PubMed]