Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition - Methodology: Acquisition and Analysis

Methodology: Acquisition and Analysis

Power Pitch

Brain Function & fMRI

Tuesday, 12 May 2026

Power Pitch Theatre 2

13:40 - 15:16

Moderators: Jonathan Polimeni & Ai Peng Tan

Session Number: 452-02

No CME/CE Credit

Similar Sessions

This session presents novel functional magnetic resonance imaging acquisition and analysis techniques.

13:40		452-02-001. Multi-echo EPI improves image quality and functional connectivity mapping in resting-state fMRI on a 1.5T MR-Linac Eaman Almasri, Liam Lawrence, James Stewart, Mark Ruschin, Aimee Theriault, Jay Detsky, Chia-Lin Tseng, Hany Soliman, Arjun Sahgal, Angus Lau Sunnybrook Research Institute, Toronto, Canada Impact: Multi-echo EPI acquisition is feasible on the MR-Linac and exhibits higher connectivity values and improved image quality as compared to single-echo EPI. Improved sequences could enable more robust functional connectivity mapping during MR-guided radiotherapy.
13:42		452-02-002. Using Spatiotemporal High-Resolution fMRI at 9.4 T to Investigate Sub Second Lagged Sequential Brain Activity Nikolas Klein, Assaf Breska, Klaus Scheffler, Sebastian Mueller Max Planck Institute for Biological Cybernetics, Tübingen, Germany Impact: Ultra-high-field fMRI provides high temporal resolution that enables identifying sub-second modulations of spatially-specific brain activity. This high spatiotemporal resolution and ability to measure subcortical regions supersedes existing neuroimaging methods such as EEG and MEG.
13:44		452-02-003. Minimizing CSF Contamination in Velocity-selective Arterial Spin Labeling Zidong Yang, Chenyang Zhao, Fanhua Guo, Danny Wang University of Southern California, Los Angeles, United States of America Impact: This study assessed and corrected CSF contamination due to CSF pulsatile flow for CBF quantification in VS-ASL
13:46		452-02-004. MRI-Induced Artefact Characterization and Correction in Graphene-Based Electrophysiology – A Pilot In Vivo Study Suchit Kumar, Alejandro Labastida-Ramírez, Samuel Flaherty, William Morrey, Nerea Alvarez de Eulate, Anton Guimerà Brunet, Rob Wykes, Ben Dickie, Kostas Kostarelos, Louis Lemieux University College London, London, United Kingdom Impact: This study demonstrates the first successful integration of graphene-based gSGFET electrophysiology with fMRI in preclinical models, showing that intra-MRI graphene-array recordings are stable and artefact-correctable, demonstrating the potential for future multimodal neuroimaging in diseased preclinical models and translational clinical neuroscience.
13:48		452-02-005. Zero echo time functional magnetic resonance imaging detects millisecond-scale recurring hippocampal activity in rats Kanishka Kanishka, Jaakko Paasonen, Raimo Salo, Ekaterina Paasonen, Petteri Stenroos, Irina Gureviciene, Shalom Michaeli, Silvia Mangia, Heikki Tanila, Olli Gröhn University of Eastern Finland, Kuopio, Finland Impact: Our approach enabled brain-wide fMRI mapping of very brief neuronal activity and provides a foundation for detecting whole-brain activity during spontaneous hippocampal transients, such as those occurring during memory consolidation or epileptic activity.
13:50		452-02-006. Temporal Attention-Induced Scan-Specific fMRI Reconstruction Meets Time-Varying Trajectories Qiaoxin LI, Caini Pan, Pierre-Antoine Comby, Chaithya Giliyar Radhakrishna, Philippe Ciuciu MIND, Inria, Palaiseau, France Impact: The proposed self-supervised fMRI reconstruction framework integrates two principled temporal-attention mechanisms with time-varying trajectories, enhancing sensitivity to brain activity and improving reconstruction fidelity through a reliable, memory-efficient solution for fMRI reconstruction with applications in neuroscience.
13:52		452-02-007. Initial observation study on axon water fraction changes during functional activity using multi-echo gradient echo (mGRE) Jae-Yoon Kim, Kyu-Jin Jung, Dong-Hyun Kim Yonsei University, Seoul, Korea, Republic of Impact: This study demonstrates that multi-echo gradient-echo (mGRE) based axon water fraction mapping can detect functional activity. Changes in parameters of myelin water, axon water and extracellular water were observed during task-based functional activation.
13:54		452-02-008. Human Functional Imaging at 350 µm Isotropic resolution – probing Laminar Modulation in Individual Participants Luca Vizioli, Lasse Knudsen, Yulia Lazarova, Steen Moeller, Nils Nothnagel, Lonike Faes, Alireza Sadeghi-Tarakameh, Kamil Ugurbil, Essa Yacoub Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, United States of America Impact: Imaging with ultra-high spatial resolution (350µm isotropic) at 10.5T, reduces single voxels to a few thousand neurons, while maintaining SNR levels sufficient to characterize laminar responses in individual participants, heralding new avenues for basic and translational human neuroscience.
13:56		452-02-009. Task-based deactivations in a fast event-related fMRI design is better captured by deconvolution than FIR basis functions SIDDHARTH NAYAK, Shounak Nandi, Faye McKenna, Tim Duong Albert Einstein College of Medicine, Bronx, United States of America Impact: Dynamic modulation of the default mode and dorsal-attention networks during an inhibitory control task reveals network-level mechanisms of attention and task engagement in chemobrain patients, providing new insights into how brain networks reconfigure in response to cognitive demands.
13:58		452-02-010. The pulvinar gates plasticity in human visual cortex Maria Concetta Morrone, Miriam Acquafredda, Jan Kurzawski, Laura Biagi, Michela Tosetti, Paola Binda University of Pisa, Pisa, Italy Impact: A brief period of abnormal visual experience can modulate activity of adult human visual cortex. Here we show that the deprivation-induced changes in cortical BOLD activity are mediated by the pulvinar, by a reduction in forward connectivity with cortex.
14:00		452-02-011. Integrating MR-Compatible Eye Tracking for Gaze-informed fMRI studies during Naturalistic Social Viewing in Children Lixuan Zhu, Kun Qian, Sunniva Fenn-Moltu, Taeona Morgan, Nina Treder, Qianwen Chang, Alexandra Lautarescu, Vanessa Kyriakopoulou, Daphna Fenchel, Tobias Wood, Jonathan O'Muircheartaigh, Grainne McAlonan, Dafnis Batalle, Jo Hajnal, Tomoki Arichi King's College London, London, United Kingdom Impact: This study introduces a novel gaze-informed fMRI framework for children, enabling precise mapping of how visual attention to social cues aligns with neural activity. It supports more engaging, ecologically valid neuroimaging paradigms, providing powerful tool for studying developing social cognition.
14:02		452-02-012. Brain Quantitative Susceptibility Mapping: Multi-Center Reproducibility and Consistency on 5T MRI Huan Tan, Yi Wang, Zhiwei Qin, Yuehua Li Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China Impact: This study validates the reliability and efficiency of 5T for quantitative susceptibility mapping (QSM) acquisition, addressing key barriers to its clinical translation, and reduced acquisition time compared to 3T, thereby advancing QSM’s clinical applicability.
14:04		452-02-013. Virtual Brain Modeling Reveals Altered Excitatory/Inhibitory Balance and Predicts Symptom Severity in Schizophrenia Matteo Vitacca, Doris Pischedda, Anita Monteverdi, Giuseppe De Simone, Mariateresa Ciccarelli, Giuseppe Pontillo, Sirio Cocozza, Andrea De Bartolomeis, Claudia Gandini Wheeler-Kingshott, Fulvia Palesi, Egidio D’Angelo University of Pavia, Pavia, Italy Impact: Functional connectivity alterations have been reported in schizophrenia and associated with symptomatology. However, standard approaches lag in reliably explaining symptoms. In contrast, biophysically grounded simulations with The Virtual Brain capture clinical variability with interpretable parameters elucidating pathophysiological mechanisms.
14:06		452-02-014. Decoupling of Optic-Radiation Pathways and Frontal Upregulation in Late-Onset Blindness: A 7T rs-fMRI Study Yuqi WANG, Jinhao Lyu, Shengshu Sun, Bin Ruan, Youhan Ao, Weijia Wang, Wanping Hu, Liqiang Wang, Xin Lou Chinese PLA General Hospital, Beijing, China Impact: 7T resting-state maps reveal frontal upregulation and posterior downshift with OR–VOF decoupling in late blindness, identifying network targets for rehab, enabling tract-level WM fMRI biomarkers, and motivating longitudinal trials to re-engage residual visual pathways in adults.
14:08		452-02-015. Towards separation of blood velocity and partial-volume effects in phase-contrast MRA for quantitative vessel-specific fMRI Sébastien Proulx, Divya Varadarajan, Zhangxuan Hu, Amelia Strom, Jonathan Polimeni Stanford Medicine, Stanford, United States of America Impact: Vessel-specific fMRI measures dynamics within individual blood vessels and provides concrete measures of the physiological changes that shape the hemodynamic response. Our PC-MRA-based method can disentangle blood vessel diameter and velocity changes to provide insight into neurovascular coupling in humans.
14:10		452-02-016. A Connectivity Gradient Perspective of Rehabilitation-induced Motor Recovery Yuming Zhong, Sai Kam Hui The Chinese University of Hong Kong, Hong Kong, China Impact: This abstract provides new evidence for the global dynamic mechanisms underlying CIMT therapy by revealing the association between brain connectome gradients and behavioral improvement and offers potential neural biomarkers for personalized rehabilitation.
14:12		452-02-017. Denoising submillimeter functional MRI with BM4D-PC Vinicius Campos, Tales Santini, Diego Szczupak, Lovisa LjungQvist-Brinson, Cong Chu, Isabela Zimmermann Rollin, Michael Corigliano, Laurel Dieckhaus, David Schaeffer, Tamer Ibrahim, Afonso Silva University of Pittsburgh, Pittsburgh, United States of America Impact: BM4D-PC denoising exhibited excellent performance on task-based fMRI data, obtaining competing state-of-the-art results. Along with its application in diffusion MRI, we believe it will be instrumental for new insights in neuroscience, as the need for high spatiotemporal resolution data increases.