Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
370-03-022 ISMRM Abstract

Temporal coupling of CSF flow and grey matter BOLD fluctuations in the neonatal brain

Primary: Neuro - Neurofluids
Secondary: Pediatrics - Neuro
370-03-022 · Brain Functional Methods · Monday, 11 May, 9:15 AM–10:10 AM · Traditional Posters | Exhibition Hall
Keywords: Sleep Glymphatic system Cerebral spinal fluid Neonatal brain development Brain clearance mechanisms
Accepted
Mehdi Talebzadeh 1,2, Slava Karolis1, Nina Treder3,4,5, Dafnis Batalle4, Laura D Lewis6,7,8,9,10,11,12,13, Laura Pellegrini2, Tomoki Arichi1,5,14,15,16,17,18,19,20,21,22,23,24,25,26, Jucha Willers Moore1,20,21,27
1Research Dept of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
2MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
3Forensic and Neurodevelopmental Sciences, King's College London, London, United Kingdom
4Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
5MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom
6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
7Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
8Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, United States of America
9Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, United States of America
10Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
11Department of Radiology, Harvard Medical School, Boston, United States of America
12Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
13Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, United States of America
14Kings College London, London, United Kingdom
15Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
16Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
17Early Life Imaging Research Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
18Imaging Physics and Engingeering Research Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
19Research Dept of Imaging, Physics & Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
20London Collaborative Ultra-High field System (LoCUS), King's College London, London, United Kingdom
21London Collaborative Ultra high field System (LoCUS), London, United Kingdom
22Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
23Research Dept of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
24Research Dept of Imaging Physics & Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
25Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
26Research Department of Imaging Physics and Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
27London Collaborative Ultra high field System (LoCUS), King's College London, London, United Kingdom
Presenting Author: Mehdi Talebzadeh

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References

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4. Coelho‐Santos V, Shih AY. Postnatal development of cerebrovascular structure and the neurogliovascular unit. WIREs Developmental Biology. 2020;9(2):e363. doi:10.1002/wdev.363 [doi]
5. Edwards AD, Rueckert D, Smith SM, et al. The Developing Human Connectome Project Neonatal Data Release. Front Neurosci. 2022;16:886772. doi:10.3389/fnins.2022.886772 [doi]
6. Fitzgibbon SP, Harrison SJ, Jenkinson M, et al. The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants. NeuroImage. 2020;223:117303. doi:10.1016/j.neuroimage.2020.117303 [doi]
7. Makropoulos A, Robinson EC, Schuh A, et al. The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction. Neuroscience. Preprint posted online April 10, 2017. doi:10.1101/125526 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/370-03-022