Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026

Digital Poster

fMRI: Development and Aging

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fMRI: Development and Aging
Digital Poster
Brain Function & fMRI
Wednesday, 13 May 2026
Digital Posters Row E
13:40 - 14:35
Session Number: 564-03
No CME/CE Credit
This session covers fMRI studies in old and young.

  Figure 564-03-001.  Bridging Continents: Building MRI Analysis Capacity Through LMIC–HIC Collaboration in Neurodevelopmental Research
Sadia Parkar, Kulsoom Khan, Hira Manzoor, Nadia Mazhar, Hamna Ganny, Salman Osmani, Jeffrey Tanedo, Austin Tapp, Rahimeh Rouhi, Krithika Iyer, Kiran Hilal, Zahra Hoodbhoy, Marius Linguraru, Natasha Lepore, Sean Deoni, Sidra Kaleem
Aga Khan University Hospital, Pakistan, Pakistan
Impact: This collaboration demonstrates a sustainable framework for LMIC capacity building in pediatric MRI analysis, combining technical training and resource sharing to enable high-quality neuroimaging research and empowering LMIC researchers to contribute new insights into early childhood brain development.
  Figure 564-03-002.  Subwavelength Resonator for High-Efficiency and Safe Infant Brain MRI at 1.5 T
Viktor Puchnin, Leila Sharipova, Alena Shchelokova
ITMO University, Saint Petersburg, Russian Federation
Impact: The proposed subwavelength resonator enhances transmit efficiency and RF safety in infant brain MRI at 1.5 T, offering a compact, cable-free solution that enables safer and higher-quality neonatal imaging without modifications to the scanner hardware.
  Figure 564-03-003.  Cerebral Blood Flow and Connectivity in Adolescents of Major Depressive Disorder with Non-Suicidal Self-Injury
Xiaojin Ma, Laiyang Ma, Danyang Wang, Fengxian Fan, Jing Zhang
Department of Magnetic Resonance, Lanzhou, China
Impact: With advancing neuroimaging, ASL now enables CBF and connectivity studies in MDD with NSSI. This approach offers new insights into cerebral hemodynamics underlying these conditions, complementing existing structural and functional research.
  Figure 564-03-004.  Harnessing Vascular Phenotypes for Cerebrovascular Age Estimation with a Hybrid SVM-GCN Ensemble Model
Junhong Liu, Qing Li, Haoyang Zhang, Yan Li, Yajing Zhang, Mo Yang, Zian Wang, Wang Liao, Chengyan Wang
Human Phenome Institute, Fudan University, Shanghai, China
Impact: This hybrid framework provides a scalable tool for cerebrovascular age assessment. By identifying age-specific vascular biomarkers, it enables earlier detection of brain aging risks and supports per-sonalized vascular health monitoring throughout the lifespan.
  Figure 564-03-005.  Optimization of rs-fMRI pre-processing steps for integration of multiple pediatric datasets
Emily Messenger, Avner Meoded, Hyuk Jin Yun
Children's Mercy Hospital, Kansas City, United States of America
Impact: By evaluating the capacity of pre-processing to mitigate challenges introduced by variable acquisition parameters among pediatric rs-fMRI datasets, we provide a replicable procedure for integrating multi-site datasets. This integration will allow for the exploration of trends underlying pediatric developmental trajectories.
  Figure 564-03-006.  Task-based deactivations of the default mode network for children performing an auditory oddball task
SIDDHARTH NAYAK, Mark Wagshul, Elyse Sussman
Albert Einstein College of Medicine, Bronx, United States of America
Impact: Dynamic modulation of the default mode and salience networks during auditory target detection reveals network-level mechanisms of attention and task engagement in children, providing new insights into how developing brain networks reconfigure under cognitive demands.
  Figure 564-03-007.  Analysis of Dynamic Network Reconfiguration in Male Children with Autism Spectrum Disorder
Yuning Si, Jinsha Tan, Xuan Yu, Li Kaixin, MENGZHU WANG, xianchang zhang, Shuting Zhang, Meiyun Wang
Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China
Impact: This study provides a multilayer, time-resolved analysis that reveals heightened segregation and unstable reconfiguration of DAN-DMN systems in pediatric ASD, linking network dynamics to symptom burden. This dynamic marker complements static connectivity and may inform individualized evaluation in clinical research.
  Figure 564-03-008.  Enhanced perceptual cognition and functional connectivity in children with specialized cognitive training: A pilot fMRI study
Priyanka Bhat, S Senthil Kumaran, Shivani Tripathi, M Srinivas, Rahul Mehrotra, Nand Kumar, K Kochhar, Ishaprasad Bhagwat
All India Institute of Medical Sciences, New Delhi, India
Impact: Dynamic functional connectivity and task-based connectivity proved robust measures to understand the facilitatory connectivity between visual, fronto-parietal and default mode networks. Neuronal plasticity with cognitive training could cause brain stimulation leading to altered connectivity.
  Figure 564-03-009.  Alterations in Static and Dynamic Amplitude of Low-Frequency Fluctuations and Molecular Correlates in ASD
Jinsha Tan, Yuning Si, Shuting Zhang, Xuan Yu, Li Kaixin, MENGZHU WANG, xianchang zhang, Meiyun Wang
Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China
Impact: This study establishes dynamic brain activity as a sensitive ASD biomarker for ASD, offering potential pathways for developing novel diagnostic tools and targeted therapeutic interventions.
  Figure 564-03-010.  Altered Segregation and Integration of Brain Networks in Insomnia Disorder Patients with and without Depression
Hui Wang, Gengchen Ye, Haoyu Chen, Yuanyuan Liu, Kai AI, Wei Sheng, Wei Chen, Rong Wang, Ming Zhang
Xi'an Jiaotong University, Xi'an, China
Impact: These findings suggest that different subtypes may exhibit distinct pathophysiological changes within the same disorder, underscoring the importance of precise subtyping and personalized treatment strategies for insomnia disorder (ID).
  Figure 564-03-011.  Cortical structure alterations in young people with mild Internet gaming disorder
Bohui Mei, Yong Zhang
Impact: This study identifies a reversible neuroadaptive stage with cortical thickening-complexity imbalance in mild IGD, offering a critical window for early intervention to prevent progression to pathological atrophy.
  Figure 564-03-012.  Quantitative Susceptibility Mapping Predicts Mild Cognitive Impairment or Dementia with 5-Tesla MRI
Yu-Wei Hao, Hui You, Ming-Li Li, Feng Feng
Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
Impact: Increased baseline QSM metrics in the selected subcortical gray matter structures is a significant predictor of MCI or dementia in patients with CSVD in general and CAA. Pathologic studies are needed to confirm our observation.
  Figure 564-03-013.  Regional Magnetization Transfer Ratio Analysis for Detecting Early Microstructural Damage in Degenerative Cervical Myelopathy
Longyu Deng, wei cui, Xiangyu Tang
Tongji Hospital affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wu Han, China
Impact: MTR provides a sensitive measure of spinal cord microstructural integrity in early DCM, facilitating earlier diagnosis and more informed surgical decisions to enhance patient stratification, management, and long-term functional outcomes.
  Figure 564-03-014.  3D Constrained qBOLD MRI Analysis of Cerebral Oxygenation and Perfusion Across the Healthy Adult Lifespan
Kathryn Jaroszynski, Sina Dindarian, Hyunyeol Lee, John Detre, Felix Wehrli
University of Pennsylvania, Philadelphia, United States of America
Impact: The study, conducted with a spatially resolved quantitative MRI method, supports the hypothesis that in the healthy brain the age-related decline in brain blood flow is compensated by increased oxygen extraction, thereby keeping oxygen consumption unaltered, both globally and regionally.

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