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

Digital Poster

Heart and Brain Axis

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Heart and Brain Axis
Digital Poster
Cardiovascular
Tuesday, 12 May 2026
Digital Posters Row C
13:40 - 14:35
Session Number: 462-03
No CME/CE Credit
measuring brain and heart motion and flow and their interaction

  Figure 462-03-001.  Associations of Cerebral Arterial Pulsatility and Damping with Vascular Dysfunction, Amyloid Pathology, and Cognitive Decline
Rui Qian, Jianing Tang, Elizabeth Joe, Helena Chui, Lirong Yan
Northwestern University Feinberg School of Medicine, Chicago, United States of America
Impact: Phase-contrast MRI-derived flow pulsatility metrics, including pulsatility index (PI) and damping factor (DF), can be useful indicators of vascular dysfunction linking cardiovascular risk with amyloid pathology and cognitive impairment, which may serve as sensitive biomarkers for studying AD pathology.
  Figure 462-03-002.  MRI in Clinical Practice: Diagnosis of Cardiovascular and Cerebrovascular Diseases through Integrated Neuro-Cardiac MRI
Jiuping Liang, Xueying Zhao, Xueling Qin, Shuqi Jin, Zhen-Hua Liang, Guangnan Quan, Yuanyao Xie, Wen Li, Yiyong Liu
Shenzhen Bao'an Distrct Songgang People's Hospital, Shenzhen, China
Impact: Integrated neuro-cardiac MRI streamlines diagnostic workflows, reduces patient burden, and enables simultaneous evaluation of brain, heart, and vascular pathology, facilitating early intervention, personalized secondary prevention, and optimized management for patients with hypertension or at risk of stroke.
  Figure 462-03-003.  Disease-Specific Alterations in Cortical Morphometry and Heart-Brain Correlations in Dilated and Hypertrophic Cardiomyopathy
Jie Zhao, Hao Xiong, Wenliang Fan, Qun Yu, Wei Chen, Ziqiao Lei
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Impact: This study reveals distinct cortical alteration patterns in DCM and HCM, providing novel neuroimaging evidence for the heart-brain interactions.
  Figure 462-03-004.  Variability of Cerebral Flow Response to Oral Fluid Intake using Dual-VENC 4D-Flow-MRI
Ali El Ahmar, Andrew Huang, Adrian Duckert, Patrick Winter, Susanne Schnell
University of Greifswald, Greifswald, Germany
Impact: Variability in cerebral flow following oral hydration reveals that individual physiological responses can influence quantitative 4D-Flow-MRI measurements. Standardizing pre-scan hydration may substantially improve reproducibility and interpretability in neurovascular hemodynamic studies.
  Figure 462-03-005.  The Association of Cardiac Morphology and Function with Brain Structure and Cognitive Function: A Population-Based Study
xuejia li, Boyan Xu, Xiaoshuai Li
Qingdao Hospital, University of Health and Rehabilitation Sciences,Qingdao Municipal Hospital, Qingdao, China
Impact: This study elucidates the heart-brain axis by linking the LV indices to brain structure and cognitive function. The absence of mediation by brain volume suggests alternative neurovascular or metabolic pathways underlying cardiovascular-related cognitive impairment in aging populations.
  Figure 462-03-006.  Caffeine Shifts Brain-Body Coupling Dynamics During Mental Effort: A Multimodal EEG-fMRI Study
Lina Mahmoud Saleh Alqam, Cem Karakuzu, Kübra Eren, Kadir Berat YILDIRIM, Belal TAVASHI, Elif Can, Fatmatüzzehra Uçal, Alp Dinçer, Pinar Özbay
Boğaziçi University Institute of Biomedical Engineering, Istanbul, Turkey
Impact: This study demonstrates the role of caffeine in transitioning brain-body interactions from bidirectional to cortical-dominant coupling during cognitive tasks. Findings inform caffeine timing for cognitive performance and establish a framework for investigating how pharmacological arousal modulates directionality in clinical contexts.
  Figure 462-03-007.  Retrospective Cardiac-Resolved 4D Flow MRI of Cerebrospinal Fluid Dynamics under Different Respiratory States
Daehun Kang, Paul Min, Petrice Cogswell, Seokbeen Lim, Derek Bischof, Myung-Ho In, John III Huston, Yunhong Shu
Mayo Clinic, Rochester, United States of America
Impact: This study demonstrates the feasibility of retrospective 4D flow MRI for characterizing CSF flow dynamics and highlights its potential to provide physiologically relevant, cardiorespiratory driven CSF flow information for advancing research and clinical evaluation of brain fluid circulation.
  Figure 462-03-008.  Deep Breathing Modulates Intracranial Compliance, A Non-invasive RT-PC MRI Approach for Compliance-like Quantification
Pan Liu, Qiuting Wen, Elodie Foster, Kimi Owashi, Olivier Baledent
CHU Amiens-Picardie, Amiens, France
Impact: A single-breath RT-PC paradigm enables dynamic, non-invasive assessment of intracranial volume coupling. The ΔCBV/ΔCSFV ratio serves as a compliance-like index, offering a rapid and repeatable approach to probe brain compliance modulation under physiological perturbation.
  Figure 462-03-009.  Posture Dependence of Cerebral Spinal Fluid and Blood Flow by Phase Contrast MRI at 3T
Tuo Yu, Liang Wang, Minqiang Jia, Zhanbin Dong, Jiayu Zhu, Xin Ye, Shaonong Wei, Xiaopeng Zong
School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China
Impact: Our findings suggest a close coupling between blood flow and CSF dynamics and a reduction of CSF circulation during prone versus supine posture.
  Figure 462-03-010.  Preliminary Protocol Sensitivity Analysis of Quantitative Amplified MRI
Edward Clarkson, Sergio Dempsey, Kain Kyle, Joonsung Lee, Holly Flyger, Luke Stoltenberg, Jet Wright, Eryn Kwon, Paul Condron, Itamar Terem, Samantha Holdsworth
Mātai Medical Research Institute, Gisborne, New Zealand
Impact: Insight of protocol design and motion mitigation for reliable quantitative-amplified MRI. Implementing recommended in situ acquisition guidelines can minimize non-physiological displacements and inform on data quality.
  Figure 462-03-011.  Poroelastic Inversion of the Human Brain at 3T using Amplified MRI
Tyson Lam, Patrick Fillingham, Matthew McGarry, Caitlin Neher, Em Triolo, Fargol RezayAraghi, Mehmet Kurt
University of Washington, Seattle, United States of America
Impact: Integrating aMRI displacements with poroelastic inversion enables quantitative brain mechanics at cardiac frequencies without external drivers. Further refining inversion stability and validating against MRE could provide clinically relevant stiffness maps, informing cerebrovascular‑brain coupling, and biomarker development in low resource settings.
  Figure 462-03-012.  Multi-Modality and Multi-Variable Assessment of Intracranial Flow and Motion in Chiari I Malformation: A Preliminary Study
Sile Wang, Sophia Perinotto, Shu-Fu Shih, Yuxiao Wu, Jeremiah Johnson, Marvin Bergsneider, Xiaodong Zhong
University of California Los Angeles, Los Angeles, United States of America
Impact: The multi-modality, multi-variable data can provide a basis for better understanding CMI and for parameterizing physical and computational models.
  Figure 462-03-013.  Alterations in Neurovascular Coupling in Mesial Temporal Lobe Epilepsy with Hippocampal Sclerosis
Dengyan Song, Huiyan Zhang, Jinqin Li, Guangxu Han, Zhuo Wang, Hao Ye, Yuanyuan wei, Bing Chen
The First Clinical Medical College of Ningxia Medical University, Yinchuan, China
Impact: This study demonstrated impaired whole-brain neurovascular coupling and abnormal regional CBF/fALFF ratios in MTLE-HS, providing novel clues for deciphering the pathological mechanisms from the interaction between cerebral blood perfusion and local neural activity.
  Figure 462-03-014.  CSF flow is driven by carotid stroke volume during inspiration and IJV flow during deep breathing
Brice Williams, Kunsh Sharma, Ning Jin, John Oshinski
Emory University School of Medicine, Atlanta, United States of America
Impact: CSF flow is affected by respiration. We show that normal and deep inspiration both change CSF flow and show evidence that both decreased carotid stroke volume and increased IJV flow during inspiration drive this flow change.

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