Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
302-03-006 ISMRM Abstract

Cortical laminar microstructure in children using multi-shell diffusion MRI with isotropic submillimeter resolution

Primary: Neuro - Gray Matter
Secondary: Diffusion - Microstructure
302-03-006 · Next-Level Pediatric MRI: Technical Advances To Image Children Better · Monday, 11 May, 1:50 PM–3:40 PM · Hall 1B
Keywords: Normal development Diffusion-weighted MRI Children Cortical microstructure
Accepted
Ziqin Zhang1,2, Wentao Wu1,2, Kaitlyn T Woods1, Minhui Ouyang1,2, Hao Huang1,2
1Children's Hospital of Philadelphia, Philadelphia, United States of America
2University of Pennsylvania, Philadelphia, United States of America
Presenting Author: Runjia Lin

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Kang HJ, Kawasawa YI, Cheng F, Zhu Y, Xu X, Li M, et al. Spatio-temporal transcriptome of the human brain. Nature. 2011;478(7370):483–9. doi:10.1038/nature10523. [doi]
2. Yu Q, Peng Y, Kang H, Peng Q, Ouyang M, Slinger M, et al. Differential White Matter Maturation from Birth to 8 Years of Age. Cereb Cortex. 2020;30(4):2673–89. doi:10.1093/cercor/bhz268. [doi]
3. Rockland KS, Pandya DN. Laminar origins and terminations of cortical connections of the occipital lobe in the rhesus monkey. Brain Res. 1979;179(1):3–20. doi:10.1016/0006-8993(79)90485-2. [doi]
4. Douglas RJ, Martin KA. Neuronal circuits of the neocortex. Annu Rev Neurosci. 2004;27:419–51. doi:10.1146/annurev.neuro.27.070203.144152. [doi]
5. Huang H. Delineating neural structures of developmental human brains with diffusion tensor imaging. ScientificWorldJournal. 2010;10:135–44. doi:10.1100/tsw.2010.21. [doi]
6. McNab JA, Polimeni JR, Wang R, Augustinack JC, Fujimoto K, Stevens A, et al. Surface based analysis of diffusion orientation for identifying architectonic domains in the in vivo human cortex. Neuroimage. 2013;69:87–100. doi:10.1016/j.neuroimage.2012.11.065. [doi]
7. Alexander DC, Dyrby TB, Nilsson M, Zhang H. Imaging brain microstructure with diffusion MRI: practicality and applications. NMR Biomed. 2019;32(4):e3841. doi:10.1002/nbm.3841. [doi]
8. Ouyang M, Jeon T, Sotiras A, Peng Q, Mishra V, Halovanic C, et al. Differential cortical microstructural maturation in the preterm human brain with diffusion kurtosis and tensor imaging. Proc Natl Acad Sci U S A. 2019;116(10):4681–8. doi:10.1073/pnas.1812156116. [doi]
9. Ouyang M, Dubois J, Yu Q, Mukherjee P, Huang H. Delineation of early brain development from fetuses to infants with diffusion MRI and beyond. Neuroimage. 2019;185:836–50. doi:10.1016/j.neuroimage.2018.04.017. [doi]
10. Huang H, Shu N, Mishra V, Jeon T, Chalak L, Wang ZJ, et al. Development of human brain structural networks through infancy and childhood. Cereb Cortex. 2015;25(5):1389–404. doi:10.1093/cercor/bht335. [doi]
11. Ouyang A, Jeon T, Sunkin SM, Pletikos M, Sedmak G, Sestan N, et al. Spatial mapping of structural and connectional imaging data for the developing human brain with diffusion tensor imaging. Methods. 2015;73:27–37. doi:10.1016/j.ymeth.2014.10.025. [doi]
12. Setsompop K, Fan Q, Stockmann J, Bilgic B, Huang S, Cauley SF, et al. High-resolution in vivo diffusion imaging of the human brain with generalized slice dithered enhanced resolution: Simultaneous multislice (gSlider-SMS). Magn Reson Med. 2018;79(1):141–51. doi:10.1002/mrm.26653. [doi]
13. Dale AM, Fischl B, Sereno MI. Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage. 1999;9(2):179–94. doi:10.1006/nimg.1998.0395. [doi]
14. Huber LR, Poser BA, Bandettini PA, Arora K, Wagstyl K, Cho S, et al. LayNii: A software suite for layer-fMRI. Neuroimage. 2021;237:118091. doi:10.1016/j.neuroimage.2021.118091. [doi]
15. Waehnert MD, Dinse J, Weiss M, Streicher MN, Waehnert P, Geyer S, et al. Anatomically motivated modeling of cortical laminae. Neuroimage. 2014;93 Pt 2:210–20. doi:10.1016/j.neuroimage.2013.03.078. [doi]
16. Jeon T, Mishra V, Uh J, Weiner M, Hatanpaa KJ, White CL, 3rd, et al. Regional changes of cortical mean diffusivities with aging after correction of partial volume effects. Neuroimage. 2012;62(3):1705–16. doi:10.1016/j.neuroimage.2012.05.082. [doi]
17. Desikan RS, Segonne F, Fischl B, Quinn BT, Dickerson BC, Blacker D, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968–80. doi:10.1016/j.neuroimage.2006.01.021. [doi]
18. Grydeland H, Vertes PE, Vasa F, Romero-Garcia R, Whitaker K, Alexander-Bloch AF, et al. Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan. Cereb Cortex. 2019;29(3):1369–81. doi:10.1093/cercor/bhy330. [doi]
19. Le Bihan D. Molecular diffusion, tissue microdynamics and microstructure. NMR Biomed. 1995;8(7-8):375–86. doi:10.1002/nbm.1940080711. [doi]
20. Ouyang M, Peng Q, Jeon T, Heyne R, Chalak L, Huang H. Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds. Elife. 2020;9:e58116. doi:10.7554/eLife.58116. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/302-03-006