Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Neuroimaging of Brain Development from Fetal Life Through Adolescence: Structure, Function, and Prediction

Neuroimaging of Brain Development from Fetal Life Through Adolescence: Structure, Function, and Prediction

Digital Poster

Neuro B

Thursday, 14 May 2026

Digital Posters Row G

14:35 - 15:30

Session Number: 666-04

No CME/CE Credit

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This poster session presents advanced MRI and computational approaches to characterize brain development from fetal life through adolescence. Topics include cortical microstructure, network controllability, population-specific growth trajectories, and machine learning–based age and outcome prediction, highlighting quantitative biomarkers for typical and atypical neurodevelopment.

		666-04-001. Mapping the magnetic microstructure of the developing cortex Felix Büttner, Tilo Reinert, Carsten Jäger, Markus Morawski, Ilona Lipp, Gerald Falkenberg, Dennis Brückner, Remi Tucoulou, Catherine Crockford, Roman Wittig, Renat Sibatulin, Karl-Heinz Herrmann, Jürgen Reichenbach, Pierre-Louis Bazin, Nikolaus Weiskopf, Evgeniya Kirilina International Max Planck Research School (IMPRS) for Cognitive Neuroimaging, Germany Impact: Iron deficiency in the brain during development leads to long lasting neurological deficits. Iron-sensitive R2* maps could monitor iron levels non-invasively. We provide a unique reference data set to inform and validate biophysical models of transverse relaxation in myelinating cortex.
		666-04-002. Water content-based EPT allows adjusting dielectric dispersion models of brain tissues with age Sebastien Marmin, Alessandro Arduino, Matteo Cencini, Marta Lancione, Laura Biagi, Michela Tosetti, Luca Zilberti Laboratoire national de métrologie et d'essais, Paris, France Impact: The study provides age-matched values of dielectric properties of brain tissues on a wide frequency band, along with coverage intervals of physiological variability. This enables age-specific electromagnetic simulations and provides normative references for dielectric biomarkers in developing brains.
		666-04-003. Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories Lianglong Sun, Wen Qin, Xinyuan Liang, Caihong Wang, Weiwei Men, Yunyun Duan, Xue-Ru Fan, Qing Cai, Shijun Qiu, Meiyun Wang, Qiyong Gong, Yanghua Tian, Peipeng Liang, Zeyu Liu, Longjiang Zhang, Jiang Qiu, Yongqiang Yu, Ching-Po Lin, Feng Feng, Kuncheng Li, Chunshui Yu, Yong He Beijing Normal University, Beijing, China Impact: This study establishes population-specific brain charts for China, providing validated references that improve the precision of clinical assessment, enhance cross-population generalizability in neuroscience, and encourage future development of inclusive, population-representative brain atlases worldwide.
		666-04-004. Improving the Accuracy of Fetal Brain Age Prediction Using Neural Network Attribution Maps Hongjia Yang, Mingxuan Liu, Yi Liao, Muye Zhang, Juncheng Zhu, Haoxiang Li, Fenglin Jia, Zihan Li, YIJIN LI, Junwei Huang, Ziang Wang, Ziyu Li, Haibo Qu, Qiyuan Tian Tsinghua University, Beijing, China Impact: Our research demonstrated that leveraging attribution maps can effectively enhance deep learning model performance and achieved a highly accurate fetal brain age prediction pipeline that holds promise for enabling more precise assessment of abnormal neurodevelopment and assisting in prenatal screening.
		666-04-005. A Novel MRI Framework for Joint Cortical and Cranial Morphometric Analysis in Infants Eryn Perry, Athelia Paulli, Krithika Iyer, Di Fan, Jeffrey Tanedo, Rahimeh Rouhi, Austin Tapp, Sean Deoni, Marius Linguraru, Natasha Lepore University of Southern California, Los Angeles, United States of America Impact: This work introduces a radiation-free, MRI-based framework for joint analysis of infant neurocranial development. Quantifying spatial cortical–cranial coupling through corresponding thickness measurements enables investigation of normative growth and may inform development of objective, data-driven approaches to craniofacial surgical decision-making.
		666-04-006. Neural Signatures Predict Future Developmental Trajectories of Externalizing Behaviors in Children Weidong Cai, Srikanth Ryali, Hari Mellacheruvu, Booil Jo, Vinod Menon Stanford Medicine, Stanford, United States of America
		666-04-007. Alterations in Behavioral Parameters Coupled with Volume Changes in the Developing Adolescent Brain Huai-An Kuo, Pin-Hui Kuo, Yun-Yun Liu, Yu-Chieh Jill Kao The University of Sydney, Sydney, Australia Impact: This study links adolescent neuromaturation to behavioral evolution, demonstrating typical structural-function references that can guide studies of developmental disorders and support predictive modeling of how environmental or clinical factors influence brain-behavior developmental trajectories across adolescence.
		666-04-008. Disrupted Geometric Constraints in Brain Structural Connectome of ADHD Children Qiuxing Chen, Nanfang Pan, Francis Normanda, Arshiya Sangchoolia, Chris Adamson, Qiyong Gong, Alex Fornito West China Hospital of Sichuan University, Chengdu, China Impact: This study reveals disrupted geometric wiring principles in ADHD, offering a mechanistic framework for understanding its connectome pathology. It guides future research on neurodevelopmental disorders and may inspire novel biomarkers or therapeutic targets.
		666-04-009. Enhanced Excitatory Neuronal Activity in the Valproate Mouse Model of Autism Spectrum Disorder: A ¹H-[¹³C]-NMR Study Vimala Paila, Anant Patel CSIR - Center for Cellular and Molecular Biology, Hyderabad, India Impact: Excitatory and inhibitory neurotransmitter activity is differentially affected across brain regions in ASD, which might be useful in diagnosis and designing better treatment approaches.
		666-04-010. Clinically Interpretable Transformer Model Reveals Neurodevelopmental Delay in Preterm and NICU Infants Using Diffusion MRI Yifan Shuai, Pengyu Kan, Xingyu Chen, Kenichi Oishi Johns Hopkins University, Baltimore, United States of America Impact: Our model provides accurate neonatal brain age estimates from DTI, enabling calculation of brain age gap (BAG) as a quantitative marker of neurodevelopmental maturity, which may support early risk stratification, prognosis, and outcome monitoring for preterm-born and NICU-treated infants.
		666-04-011. Cortical Brain in Utero Growth Among Fetuses with Germinal Matrix and Intraventricular Hemorrhage (GMH-IVH) Mingxuan Liu, Haoxiang Li, Hongjia Yang, Yi Liao, Juncheng Zhu, Jialan Zheng, Yingqi Hao, Zihan Li, Ziyu Li, Ziang Wang, YIJIN LI, Junwei Huang, Gang Ning, Haibo Qu, Qiyuan Tian Tsinghua University, Beijing, China Impact: In this case-control study, germinal matrix and intraventricular hemorrhage (GMH-IVH) adversely affected fetal cortical brain development in a grade-dependent manner, potentially explaining the poor neurological outcomes in high-grade (III/IV) cases. Precise grading is therefore essential for clinical management.