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

Power Pitch

Neurofluid Dynamics in Sleep and Disease

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Neurofluid Dynamics in Sleep and Disease
Power Pitch
Neuro A
Monday, 11 May 2026
Power Pitch Theatre 2
16:10 - 17:46
Moderators: Himanshu Singh & Yoshitaka Bito
Session Number: 352-03
No CME/CE Credit
This power pitch session showcases rapid, high-impact presentations on glymphatic function, neurofluid dynamics, and cerebrospinal fluid circulation, with a strong emphasis on sleep, aging, and neurological and psychiatric disorders. Speakers highlight innovative MRI and multimodal approaches that reveal how disruptions in neurofluid regulation relate to cognition, brain injury, and disease.

16:10 Figure 352-03-001.  Lessons from subjects with markedly dilated perivascular spaces: no cortical PVS and limited presence around medullary veins
Magna Cum Laude
Nina Fultz, Emiel Roefs, Manon Schipper, Martijn Nagtegaal, Jeroen de Bresser, Matthias van Osch, Lydiane Hirschler
Leiden University Medical Center, Leiden, Netherlands
Impact: In subjects with markedly dilated perivascular spaces, their absence in grey matter and limited presence around medullary veins suggests that white matter PVS and grey matter PVS may play different roles in regards to brain clearance.
16:12 Figure 352-03-002.  The Night Shift: Mapping Brain Fluctuations in Sleep with High Performance MRI
Nastaren Abad, Isabelle Heukensfeldt Jansen, Chitresh Bhushan, Muhan Shao, Afis Ajala, Ana Beatriz Solana, Florian Wiesinger, Brice Fernandez, Suchandrima Banerjee, Angeliki Pollatou, J. Kevin DeMarco, Gail Kohls, Herman Morris, Vincent Ho, Myeongjin Jeong, Melanie Boly, Rasmus Birn, Maria Greufe, Steven Kecskemeti, Barbara Bendlin, Andrew Alexander, J. Kent Werner, Luca Marinelli
GE HealthCare Technology and Innovation Center, Niskayuna, United States of America
Impact: This study uses two novel MRI techniques—Simultaneous Coherent Incoherent Motion Imaging and Looping Star—to noninvasively explore sleep-related brain clearance mechanisms, offering insights that may enhance diagnostics for sleep disorders and, neurodegenerative diseases and advance brain health monitoring.
16:14 Figure 352-03-003.  Multimodal Evidence of Glymphatic System Dysfunction in Insomnia
Ruisi Wang, Kun Wang, Qiwei Guo, Chentat Leong, Jingzhe Zeng, Dinwen Hu, Jason Ellis, Shijun Qiu, Andriy Myachykov
university of macau, macao, Macau
Impact: This multimodal framework advances non-invasive glymphatic assessment in insomnia, revealing brain-CSF desynchronization and cholinergic dysfunction as potential biomarkers. Findings suggest chronic glymphatic impairment may link sleep disorders to neurodegeneration risk, enabling future targeted interventions for sleep-related cognitive decline prevention.
16:16 Figure 352-03-004.  Resting-State Functional MRI Marker of Glymphatic Dysfunction in Chronic Insomnia Disorder
Aaron Carretero Benites, Zhuohui Huang, Shuo Zheng, Xinlan Zhang, Cailan Hou, Chuan Huang
Georgia Institute of Technology and Emory University, Atlanta, United States of America
Impact: Resting-state fMRI reveals altered neurofluid regulation in chronic insomnia disorder (CID), suggesting disrupted sleep-related clearance processes. These findings support glymphatic involvement in CID and motivate longitudinal and interventional studies targeting neurofluid restoration and cognitive outcomes.
16:18 Figure 352-03-005.  Delayed neurovascular–CSF Coupling in Adolescents with Subclinical Depression
Zhongli Lan, JieFeng Gan, Chengfeng Zhang, Weiyin Vivian Liu, Jun Chen
The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China
Impact: This study reveals delayed but strengthened brain–CSF coupling in adolescent subclinical depression, suggesting early neurovascular–glymphatic inefficiency as a potential imaging biomarker for depressive vulnerability.
16:20 Figure 352-03-006.  Evaluating the Glymphatic System during Sleep using Simultaneous EEG-DKI and White Matter Correlation Networks
Jehyeong Yeon, Kun-Jin Chung, Byong-Ji Min, Bong Soo Han
Yonsei University, Seoul, Korea, Republic of
Impact: This study shows that sleep-depth–dependent diffusion changes are routed through distinct white-matter hub pathways, suggesting a structural mechanism for glymphatic transport. These findings enable network-level biomarkers of sleep quality and motivate hub-targeted approaches for assessing impaired fluid clearance in disease.
16:22 Figure 352-03-007.  Age-Associated Changes in Cerebrospinal Fluid Outflow Patterns Quantified with Time-SLIP MRI
Vadim Malis, Hyena Jung, Yoshiki Kuwatsuru, Won Bae, Mitsue MIYAZAKI
University of California, San Diego, United States of America
Impact: Quantitative analysis of cerebrospinal fluid outflow using Time-SLIP MRI with bi-component model enables detection of age-associated and spatial variations, providing a reproducible framework for evaluating normal physiological variability in healthy adults.
16:24 Figure 352-03-008.  FPR-pCASL for assessing cerebral microvascular pulsatility: technique optimization and validation
Tianrui Zhao, Jianing Tang, Yining He, Lirong Yan
Northwestern University, Chicago, United States of America
Impact: We validated and optimized the previously developed FPR-pCASL for cerebral microvascular pulsatility assessment, improving its robustness and efficiency, and enhancing its potential for broader clinical and research applications in neurodegenerative diseases.
16:26 Figure 352-03-009.  Non-invasive Trigeminal Nerve Stimulation for Brain Clearance: CSF Modulation Changes Measured by Low-b DTI and DTI-ALPS
Robert Moskwa, Kevin Cheng, Walter Block, Keith Kozma, Christopher Minar, Rasmus Birn, James Trevathan, Samuel Hurley, Kevin Johnson, VEENA NAIR, Vivek Prabhakaran, Aaron Suminski, Patrick Belton, Justin Williams, Kip Ludwig
University of Wisconsin - Madison, Madison, United States of America
Impact: Enhancing glymphatic clearance through neurostimulation will requiring lengthy trials to permit effects to accumulate. We present a relatively rapid DTI method for characterizing glymphatic changes during stimulation protocols, permitting tuning of stimulation parameters to enhance chances of successful trials.
16:28 Figure 352-03-010.  Imaging the Choroid Plexus–Glymphatic Axis in Cerebral Small Vessel Disease: Links to Brain Injury and Cognitive Impairment
Dan Luo, Lisha Nie, Li yongmei
The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Impact: By combining mean apparent propagator diffusion modeling and sub-voxel susceptibility source separation, this work provides the first in-vivo characterization of CP microstructural and compositional injury in CSVD, revealing early glymphatic disruption mechanisms that bridge microvascular pathology and cognitive decline.
16:30 Figure 352-03-011.  Choroid Plexus Free-Water Diffusion Predicts Glymphatic Impairment and Clinical Severity in Parkinson's Disease
Suyi Zhou, Zhiming Zhen, Cheng Lai, Zhentao Zuo, Wei Chen, Wei Chen
Impact: CP microstructural alterations are linked to glymphatic dysfunction, which in turn contributes to white matter degeneration and clinical deficits in PD. FW-DTI of the CP is a promising biomarker for glymphatic pathology.
16:32 Figure 352-03-012.  Imaging neural activity induced modifications of water exchange using T2-selective saturation labeling
Manuel Taso, Ruby Bouhassira, David Alsop, John Detre, Geoffrey Aguirre
University of Pennsylvania, Philadelphia, United States of America
Impact: This work shows spatially selective water exchange modulations associated with neural activity, paving the way for glymphatic functional MRI using novel methods sensitive to brain tissue to fluid water exchange.
16:34 Figure 352-03-013.  Brain-wide subarachnoid CSF circulation patterns mapped using slow-flow-sensitized phase-contrast imaging (SOPHI)
Fuyixue Wang, Timothy Reese, Lawrence Wald, Bruce Rosen, Laura Lewis, Zijing Dong
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
Impact: Large-scale and localized subarachnoid-CSF flow patterns were identified for both transient cardiac-driven dynamic flow and cumulative net flow using SOPHI acquisition and Flow-Vector-Field visualization. These findings provide new insights into the organization of brain-wide CSF circulation and waste clearance system.

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