ISMRM25 - Structural & Functional Connectivity in Brain Development

ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i

Structural & Functional Connectivity in Brain Development

Digital Poster

Pediatrics

Tuesday, 13 May 2025

Exhibition Hall

09:15 - 10:15

Session Number: D-188

No CME/CE Credit

		Computer Number: 145 2563. Cerebral blood flow changes and their genetic mechanisms in Autism spectrum disorder: a combined neuroimaging and transcriptome study J. Luan, G. Ma China-Japan Friendship Hospital, Beijing, China Impact: This study highlights specific genetic targets involved in ASD-related CBF abnormalities, guiding future research into therapeutic strategies. Insights into these mechanisms could support novel interventions tailored to address the unique brain perfusion profiles observed in individuals with ASD.
		Computer Number: 146 2564. Evaluation of cerebral perfusion in autism aged 2-4 with different severity using three‑dimensional pseudo‑continuous arterial spin labelling X. Liu, X. Zhao, Y. LU, S. Li, M. Cheng The Third Affiliated Hospital of Zhengzhou University, Zheng zhou, China Impact: This study helps clinicians in recognizing differences in cerebral blood perfusion in children with autism of different severity. It facilitates timely identification of autism severity and enables prompt diagnosis and intervention to mitigate the severity of the condition.
		Computer Number: 147 2565. Longitudinal Changes in BOLD Variability and Functional Connectivity from Newborn to School-Age in Very Preterm Children View Presentation Video A. Boehringer, J. Sa de Almeida, L. Lordier, M. Durand-Ruel, S. Loukas, D. Van De Ville, P. Hüppi University of Geneva, Geneva, Switzerland Impact: Compared to full-term (FT) infants, BOLD-variability is decreased in very preterm (VPT) infants at term-equivalent-age (TEA). It increases from TEA until school-age in VPT children, but not in FT peers. Overall BOLD-variability at school age links to cognitive performance.
		Computer Number: 148 2566. Cerebrovascular Reactivity Development in Infants during the First Two Years of Life Using Resting-State BOLD Functional MRI View Presentation Video B. Gu, R. Qian, Z. Ye, B. Qiu, Z. Li, M. Li, R. Zhao, Y. Zhang, Y. Wang, P. Liu, H. Lu, D. Wu, Z. Lin Zhejiang University, Hangzhou, China Impact: We demonstrated the feasibility of utilizing resting-state BOLD to evaluate the development of CVR in infants, revealing the potential neurotransmitter receptors/transporters system involved. This approach offers a novel perspective on assessing cerebrovascular health in infants.
		Computer Number: 149 2567. A preliminary study of NODDI in detecting cortical microstructure injury in Children with MOGAD View Presentation Video H. Cheng, Y. Li, W. Zhang, C. Ren, B. Jiang, D. Zheng Beijing Children's Hospital, Capital Medical University, Beijing, China Impact: Our study demonstrated that ODI is a potential biomarker for GM pathology in pediatric MOGAD. Future research could explore how NODDI metrics predict progression and response to treatment in demyelinating diseases.
		Computer Number: 2568. WITHDRAWN
		Computer Number: 150 2569. Quantitative assessment of neonatal hyperbilirubinemia brain injury based on Diffusion Weighted Imaging X. Li, y. zhu, S. Zhu, Z. Ren, J. Guo, X. Zhang, Y. Yang, N. Guo The First Affiliated Hospital of Xi 'an Jiaotong University, Xi'an, China Impact: DWI offers a quantitative method to assess brain injury in neonates with NHB, confirming the neurotoxicity and selective deposition effects of hyperbilirubinemia. This technique may aid in early diagnosis and in evaluating the clinical efficacy of treatments for neonates with NHB.
		Computer Number: 151 2570. Morphological and Functional Development of Glymphatic System in 0-8 Year Old Children : Age-Dependences and Correlation C. Da, C. Liu, C. Liu, M. Wang, X. Huang, X. Li, F. Shi, J. Yang The First Affiliated Hospital of Xi’an Jiaotong University, Xi'an, China Impact: Between age and both PVS morphological metrics and glymphatic system function, a positive correlation has been established across the 0–8 year age range for the first time. Furthermore, correlation between glymphatic system structure and function was quantitatively confirmed.
		Computer Number: 152 2571. Identifying Regional Changes in Macro- and Microstructure in Neonates with Hypoxic Ischaemic Encephalopathy View Presentation Video E. Galanides, K. Colford, D. Gallo, P. Cawley, K. St Clair, W. Norman, C. Da Costa, I. Tomazinho, A. Price, J-D Tournier, A-D Edwards, M. Rutherford, T. Arichi, J. O'Muircheartaigh King's College London, London, United Kingdom Impact: Our quantitative comparison of MRI metrics highlights a range of radiological findings in HIE and allows inference of single subject abnormalities against a normative range appropriate for the age/recovery time. Combination with clinical data will allow associations with neurodevelopmental outcome.
		Computer Number: 153 2572. Tractometry asymmetries of corticospinal tracts are associated to neuromotor behavior in infants with perinatal brain injury View Presentation Video J. Guerrero-Gonzalez, E. Sutter, C. Casey, A. Lowe, D. Dean III, A. Alexander, B. Gillick University of Wisconsin-Madison, Madison, United States Impact: This methodology integrates clinical and advanced neuroimaging assessments to better understand and predict motor outcomes in infants with perinatal brain injuries. Such multi-modal assessment may enhance the accuracy of early diagnosis and guide interventions.
		Computer Number: 154 2573. Multi-Echo fMRI Analysis of the Fetal Brain at 0.55T View Presentation Video J. Schellenberg, K. Payette, A. Uus, M. Hall, L. Story, A. Wohlschläger, J. Hutter Technical University Munich, Munich, Germany, Munich, Germany Impact: The reduced SNR for fMRI at 0.55T can be compensated by ME-fMRI. This study explores the feasibility of ME-fMRI of the fetal brain, paving the way for future research and clinical usage.
		Computer Number: 155 2574. Dynamic network dysfunction in children with idiopathic generalized epilepsy correlated with cognitive impairment and gene expression H. Ran, T. zhang The Affiliated Hospital of Zunyi Medical University, Zunyi, China Impact: These findings reveals the complex relationship between the dynamic changes of macroscopic modules and genetic pathological mechanisms in IGE patients and improves our comprehension the neurobiological mechanisms that underlie cognitive function.
		Computer Number: 156 2575. Association of maternal antenatal anxiety with amygdala-prefrontal cortex functional connectivity in children from a South African cohort View Presentation Video M. Miles, C. Wedderburn, G. Fairchild, M. Lake, A. Roos, K. Narr, S. Joshi, M. Lawrence, N. Hoffman, N. Groenewold, W. Barnett, S. du Plessis, J. Ipser, S. Halligan, H. Zar, D. Stein, K. Donald University of Cape Town, Cape Town, South Africa Impact: Our findings suggest that antenatal maternal anxiety may impact child brain development. Understanding these effects could inform interventions to optimise neurodevelopment. Further research is needed to determine if these effects persist and relate to psychopathology in adolescents.
		Computer Number: 157 2576. Differential white matter development and cognitive abilities in the infant born very preterm: a 6-year follow-up study View Presentation Video H. JEONG, S-Y SHIM, H. J. CHO Neuroscience Convergence Center, Institute of Green Manufacturing Technology, Korea University, Seoul, Korea, Republic of Impact: We analyzed differential white matter development and cognitive abilities in infants born very preterm. Our findings suggest that the white matter microstructure in very preterm infants can catch up to that of full-term born controls by school age.
		Computer Number: 158 2577. Individualised prediction of infant and toddler brain growth using longitudinal normative models View Presentation Video R. Macleod, C. Casella, N. Bourke, M. Bruchhage, A. Leknes, A. Zahra, D. Scheiene, J. Cole, M. Zabihi, F. Biondo, K. Donald, V. D’Sa, S. Deoni, J. O'Muircheartaigh King's College London, London, United Kingdom Impact: The addition of longitudinal information into regional volume growth models allows prediction of an individualised developmental trajectories. Comparisons can be made between an individual’s actual regional volume and predicted developmental and rather than position within a traditional population distribution.

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