Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition

fMRI: Acquisition and Preprocessing

Oral

Brain Function & fMRI

Tuesday, 12 May 2026

Auditorium 2

08:20 - 10:10

Moderators: Gabriel Hoffmann & Chia-Yin Wu

Session Number: 406-01

CME/CE Credit Available

Similar Sessions

This session presents novel fMRI acquisition methods and techniques for pre-processing, including motion and artifact correction.

08:20		406-01-001. Improved Multi-Echo BOLD fMRI Visual Activation Detection by Applying Spatiotemporal Maps Reconstruction Yongli He, Rodrigo Lobos, Douglas Noll, Jeffrey Fessler, Jon-Fredrik Nielsen University of Michigan, Ann Arbor, United States of America Impact: Applying spatiotemporal map model to the multi-echo fMRI dynamic reconstruction provides increased tSNR and functional contrast while preserving spatial resolution, offering potential for high-resolution (e.g., layer-) fMRI.
08:31		406-01-002. Functional imaging of the cerebellum at 10.5T and 0.5 mm isotropic resolution Lasse Knudsen, Yulia Lazarova, Steen Moeller, Nils Nothnagel, Lonike Faes, Kamil Ugurbil, Essa Yacoub, Luca Vizioli Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, United States of America Impact: The cerebellum’s fine-grained structure has long limited its functional imaging. We achieve robust cerebellar fMRI at 10.5T with unprecedented resolution, enabling single-subject level fine-scale functional mapping, offering the potential to study its critical role in cognition, motor control, and disease.
08:42		406-01-003. BCG Artifact Suppression in EEG–fMRI using a Kalman filter: A Validation Study Using a Realistic Agar Phantom Recording Joonas Laurinoja, Veikka Leppänen, Joonas Ryssy, Matilda Makkonen, Tuomas Mutanen, Risto Ilmoniemi, Dogu Baran Aydogan University of Eastern Finland, Kuopio, Finland Impact: This study establishes a controlled environment for evaluating MRI-induced EEG artifact correction in EEG–fMRI. A test signal, combining known neural data with separately measured artifacts, was used to assess existing correction methods and a novel Kalman filter approach.
08:53		406-01-004. Intensity encoding of sensory stimulation in the spinal cord with fMRI Sandrine Bédard, Merve Kaptan, Teresa Indriolo, Christine S W Law, Dario Pfyffer, John Ratliff, Serena Hu, Suzanne Tharin, Zachary Smith, Gary Glover, Sean Mackey, Julien Cohen-Adad, Kenneth Weber Polytechnique Montréal, Montréal, Canada Impact: Mapping individual dermatomes with spinal cord fMRI can increase our understanding of segmental sensory processing and holds broad clinical potential, from improving diagnosis of peripheral nerve dysfunction to refining chronic pain management and guiding surgical interventions.
09:04		406-01-005. A new paradigm for whole-night sleep neuroimaging using a wearable coil and quiet BOLD acquisition Omer Sharon, Julian Maravilla, Shreya Ramachandran, Florian Wiesinger, Ana Beatriz Solana, Matthew Walker, Chunlei Liu, Ana Arias, Michael Lustig University of California, Berkeley, United States of America Impact: This platform enables whole-night PSG-EEG-fMRI, making whole-brain dynamics during sleep in older adults and patients a reality. Spatial detail in the cortex and access to deep brain areas unlock the study of overnight consolidation processes in healthy and pathological aging.
09:15		406-01-006. Mapping Glutamate Responses to Visual Stimulation with Functional Magnetic Resonance Spectroscopic Imaging Zhiwei Huang, Andre Doring, uzay emir, Antonia Kaiser, Martin Zach, Penghui Du, Michael Unser, Dimitrios Karampinos, Lijing Xin CIBM Center for Biomedical Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland Impact: This work demonstrates a novel imaging modality for detecting multi-voxel task-evoked neurotransmitter (glutamate) changes with sub-minute resolution, establishing a foundation for functional imaging of glutamate dynamics and advancing the metabolic understanding of brain function in health and disease.
09:26		406-01-007. Quantitative Functional BOLD (qfBOLD) for Oxygen Extraction Fraction Mapping Using ASL-free Gradient Echo/Spin Echo fMRI Antonio Chiarelli, Lucie Chalet, Sara Pomante, Davide Di Censo, Alessandra Caporale, Emma Biondetti, Fabrizio Fasano, DOMENICO ZACA', Giulia Rocco, Manuela Carriero, Francesca Graziano, Elizabeth Fear, Maria Eugenia Caligiuri, Richard Wise, Michael Germuska University 'G.d'Annunzio' of Chieti-Pescara, Chieti, Italy Impact: QfBOLD is a novel fMRI technique for sensitive and specific mapping of OEF. The method decouples OEF from CBV_dHb through a single vasodilatory challenge and without the need for functional ASL, enabling detailed assessment of brain oxidative metabolism.
09:37		406-01-008. Ongoing slow oscillation shapes long-range neural activity propagation upon a single thalamic input Linshan Xie, Yankai Zhang, Junjian Wen, Alex T. L. Leong, Ed X Wu The University of Hong Kong, Hong Kong, China Impact: Our findings demonstrated that slow oscillations served as a dynamic gain shaping the integration and propagation of single, short thalamic input at the whole-brain level.
09:48		406-01-009. Pressure Waves and Phase Locks: Revealing Brain-CSF coupling mechanisms with Single-Slice Ultrafast fMRI Joana Cabral Institute for Systems and Robotics – Lisboa and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal Impact: Single-slice ultrafast fMRI (TR=68ms) reveals detailed brain-CSF coupling at ultra-slow frequencies, providing a powerful tool both for detecting flow dysregulation in neurological disorders and for evaluating therapeutic interventions that enhance brain clearance pathways, ultimately slowing neurodegenerative processes.
09:59		406-01-010. Deep Contrastive Variational Autoencoder for Physiological Noise Removal of Echo-Planar Time-Resolved (EPTI) fMRI Daniel Haenelt, Louisa Dahmani, Jian Wu, Hesheng Liu, Jonathan Polimeni, Zijing Dong, Fuyixue Wang Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America Impact: Echo-Planar Time-resolved Imaging (EPTI) enhances single-subject fMRI sensitivity. We show that combining EPTI with a contrastive variational autoencoder for nonlinear separation of BOLD and non-BOLD components further improves resting-state connectivity metrics, advancing fMRI one step further toward clinical applications.