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

Power Pitch

Heart and Brain Interactions

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Heart and Brain Interactions
Power Pitch
Neuro B
Thursday, 14 May 2026
Power Pitch Theatre 2
13:40 - 15:16
Moderators: Jingyuan Chen & Montalba Cristian
Session Number: 652-02
No CME/CE Credit
This session includes studies on how cardiac and vascular pulsations affect fluid flow in the brain; how cardiac function affects the brain, and how the brain might alter cardiac function. It includes techniques for mapping fluid movement in different compartments of the brain and ways to estimate cardiac pulsatility from brain imaging data.
Skill Level: Intermediate

13:40 Figure 652-02-001.  Intrinsic Dynamic Time Course of Blood flow, Interstitial Fluid (ISF), and CSF in Brain Parenchyma
Mitsue MIYAZAKI, Yoshiki Kuwatsuru, Vadim Malis, Hye Na Jung
University of California, San Diego, United States of America
Impact: The relationship between blood and ISF/CSF is still unknown. Here we revealed dynamics of blood, ISF/CSF, and CSF using repeated SSFSE imaging with varying TI periods and T2prep TE of 65, 200, and 400 ms.
13:42 Figure 652-02-002.  Intravoxel Incoherent Motion Metrics are associated with CSF Flow Measured by 2D Phase Contrast MRI
Lena Meinhold, Misha Kaandorp, Ziyao Shang, Valerie Treyer, Lars Michels, Esmeralda Gruber, Sandro Studer, Anton Gietl, Ruth O'Gorman Tuura
University Children's Hospital Zurich, Zurich, Switzerland
Impact: This study demonstrates that IVIM parameters are systematically related to phase-contrast MRI measures of cerebrospinal fluid flow, independently of age and brain atrophy, supporting IVIM as a non-invasive marker of brain fluid transport in aging and neurodegenerative disease.
13:44 Figure 652-02-003.  Quantifying Cardiac-Induced Dynamic Changes in Lateral Ventricle Volume Using Retrospective Gating
Hu Cheng, Daniel Kennedy
Indiana University, Bloomington, United States of America
Impact: This study demonstrates that cardiac activity induces minor, consistent ventricle-volume changes that minimally influence low-frequency LVV fluctuations. The results validate LVV dynamics as a robust physiological marker and enable refined assessment of CSF and neurovascular function in brain research.
13:46 Figure 652-02-004.  Simultaneous Quantification of Cerebral Arterial, Venous, and CSF Flow Using Real-Time Phase-Contrast MRI
Pan Liu, Yann Attekeble, Kimi Owashi, Olivier Baledent
CHU Amiens-Picardie, Amiens, France
Impact: A single-VENC RT-PC protocol enables accurate and simultaneous quantification of cerebral blood and CSF flow. Combined with dedicated post-processing, it simplifies data analysis and acquisition, reducing clinical cost while supporting high–temporal-resolution cross-frequency analysis of neurofluid coupling.
13:48 Figure 652-02-005.  Assessing the contribution of a hypercapnic-induced local blood volume change on DENSE MRI derived volumetric strain
Elisabeth van der Voort, Quinten Deckers, Alex Bhogal, Jaco Zwanenburg
University Medical Center Utrecht, Utrecht, Netherlands
Impact: The finding that tissue blood volume is one of the underlying biological drivers of volumetric strain in brain tissue, as derived from DENSE MRI will help to interpret the physiological meaning of strain measurements, in both health and disease.
13:50 Figure 652-02-006.  Respiratory and Cardiac Influences on Brain ADC: A Directional and Regional Analysis Using Dynamic DWI
João Oliveira, Inês Esteves, Patricia Figueiredo, Andre Paschoal
University of Campinas, Campinas, Brazil
Impact: The respiratory and pulsatile influence on brain fluids was assessed through temporal variation of ADC in dynamic DWI, revealing region and direction specific couplings, as well as ADC changes throughout the pulse, opening new avenues for CSF-specific flow investigation.
13:52 Figure 652-02-007.  Posture-Dependent Cortical Thickness Alterations Driven by CSF Pressure
Magna Cum Laude
Bingchen Shao, shiying ke, Yulin Wang, Paween Wongkornchaovalit, Jichang Zhang, Jintao Wei, Jianjun Zheng, Thomas Meersmann, feiyan chen, chengbo wang, Hongjian HE
Zhejiang University, Hangzhou, China
Impact: This study reveals posture-dependent gray matter thickness variations, informing clinicians and neuroscientists about neural correlates of postures, and enabling new research on sensorimotor integration, rehabilitation, and posture-related disorders.
13:54 Figure 652-02-008.  Characterizing Whole-brain Cardiac Pulsations Using fMRI at Conventional Temporal Resolution
Emma Yeon, Sara Nolin, Shirley Feng, Amelia Strom, Robert Frost, Gary Glover, Jonathan Polimeni, Jingyuan Chen
Bronxville High School, Bronxville, United States of America
Impact: We propose a hyper-sampling method that resolves whole-brain fMRI responses to cardiac pulsation, enabling the extraction of rich information on cardiovascular health and vessel biomechanical properties from fMRI scans at conventional temporal resolutions.
13:56 Figure 652-02-009.  Mapping Cardiac and Respiratory Pulsations in the Rat Brain Using ZTE fMRI
Ekaterina Paasonen, Petteri Stenroos, Raimo Salo, Juhani Utriainen, Mikko Kettunen, Shalom Michaeli, Silvia Mangia, Jaakko Paasonen, Olli Gröhn
University of Eastern Finland, Kuopio, Finland
Impact: By capturing cardiac and respiratory pulsations in rat brain in 3D, ZTE fMRI offers a silent and robust method to study cerebrovascular dynamics and the impact of disease models and pharmacological modulations on vascular function.
13:58 Figure 652-02-010.  fMRI-derived estimates of heart rate variability compared to pulse recordings for mapping autonomic function
Hannah Johnson, Neha Reddy, Molly Bright
Northwestern University, Chicago, United States of America
Impact: We show that heart rate variability regressors derived from fMRI data serve as a valid alternative when high-quality pulse recordings are unavailable. This method increases the feasibility of studying neural correlates of autonomic function and dysfunction in patient populations.
14:00 Figure 652-02-011.  One-Stop Brain-Heart Co-Examination Workflow in Heart Failure Patients: A pilot study
Xuefang Lu, Wei Gong, Yang Fan, Guangnan Quan, ju zhao, Changsheng Liu, Yunfei Zha
Renmin Hospital of Wuhan University, Wuhan, China
Impact: This study demonstrates the feasibility and clinical value of synchronized brain-heart MRI in HF patients, enabling early detection of neurological lesions and assessment of brain-heart interactions, thereby informing risk stratification and precision interventions.
14:02 Figure 652-02-012.  Multi-Scale Characterization of Cardio-Cerebral Comorbidity: A Imaging Decoupling Index derived from Brain and Heart MRI
Ying Hu, Xu Han, amos yu, Yan Zhou
Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China
Impact: We introduce the Brain-Heart Decoupling Index, a novel MRI-based biomarker that quantifies the severity of cardio-cerebral comorbidity. This index serves as a new imaging endpoint to understand disease mechanisms and could guide future therapeutic strategies.
14:04 Figure 652-02-013.  Quantitative 3D Mapping of Cardiac-Driven CSF Dynamics Using Velocity-Encoded T2-Prepared GRASE
Summa Cum Laude
Jianing Tang, Tianrui Zhao, Sang Hun Chung, Yining He, Lirong Yan
Northwestern University, Chicago, United States of America
Impact: Our work establishes a robust velocity-encoded T2-prepared GRASE technique for quantitative assessment of brain-wide CSF dynamics, revealing cardiac-driven pulsations and spatially distinct flow patterns, which may provide new insights into CSF circulation and its role in brain waste clearance.
14:06 Figure 652-02-014.  Heart–Brain Interactions in Chronic Heart Failure: Linking Cardiac Dysfunction to Cognitive Decline
Qihui Wang, Xiuqin Jia, Qi Yang
Beijing Chaoyang Hospital, Capital Medical University, beijing, China
14:08 Figure 652-02-015.  Brain Iron Deposition and Cognitive Impairment in Atrial Fibrillation
Songhong Yue, Dan Yang, Jun Wang, Jing Zhang
The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
Impact: Quantitative susceptibility mapping(QSM) provides a sensitive biomarker for detecting regional brain iron accumulation associated with cognitive decline in atrial fibrillation(AF).Identifying these neurobiological alterations may facilitate early intervention strategies to prevent AF-related cognitive impairment.
14:10 Figure 652-02-016.  Integrated Functional Mapping of the Heart–Lung–Brain Axis in Dilated Cardiomyopathy
Wenliang Fan, Peng Sun
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Impact: This work establishes a multimodal MRI framework to quantify systemic interactions across the heart–lung–brain axis in dilated cardiomyopathy. The findings highlight the integrative impact of heart failure on pulmonary and neural systems, offering potential biomarkers for systemic network dysfunction.
14:12 Figure 652-02-017.  Intravenous administration of 2H-glucose for human hepatic, cardiac and brain DMI at 3 T
Pascal Wodtke, Sebastian Bauer, Jonathan Birchall, Maria Zamora Morales, Ashley Grimmer, Elizabeth Latimer, Marta Wylot, Ioanna Demetriou, Maria Chondronikola, Mary McLean, Ferdia Gallagher
University of Cambridge, Cambridge, United Kingdom
Impact: This study investigates intravenous administration of deuterated glucose for human DMI, expanding accessible abdominal regions to sites near the stomach and duodenum, and enabling faster and more cost-effective DMI assessments.

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