Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
531-03-006 / 531-03-006 ISMRM Abstract

Microstructural Alterations Surrounding White Matter Hyperintensities in the Precision Aging Network Cohort

Primary: Neuro - White Matter
Secondary: Diffusion - Diffusion Analysis & Visualization
531-03-006 · Exploring Brain Microstructure Across White Matter, Gray Matter, and in TBI · Wednesday, 13 May, 4:00 PM–5:36 PM · Roof Terrace
531-03-006 · Exploring Brain Microstructure Across White Matter, Gray Matter, and in TBI · Wednesday, 13 May, 4:00 PM–5:36 PM · Roof Terrace
Keywords: White Matter Hyperintensities Penumbra Diffusion Microstructure
Accepted
Deniz Karakay 1, Chidi P Ugonna2, Stephanie Matijevic3, Nan-kuei Chen2, Theodore P Trouard2,4, Lee Ryan3, Maria Altbach2,4,5, Ali Bilgin1,2,4,6
1Electrical and Computer Engineering, University of Arizona, Tucson, United States of America
2Biomedical Engineering, University of Arizona, Tucson, United States of America
3University of Arizona, Tucson, United States of America
4Radiology and Imaging Science, University of Arizona, Tucson, United States of America
5Medical Imaging, University of Arizona, Tucson, United States of America
6Program in Applied Mathematics, University of Arizona, Tucson, United States of America
Presenting Author: Deniz Karakay

Synopsis

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References

1. de Leeuw FE, de Groot JC, Achten E, Oudkerk M, Ramos LM, Heijboer R, Hofman A, Jolles J, van Gijn J, Breteler MM. Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study. J Neurol Neurosurg Psychiatry. 2001 Jan;70(1):9-14. doi: 10.1136/jnnp.70.1.9. PMID: 11118240; PMCID: PMC1763449. [doi] [pmid]
2. Zhuang FJ, Chen Y, He WB, Cai ZY. Prevalence of white matter hyperintensities increases with age. Neural Regen Res. 2018 Dec;13(12):2141-2146. doi: 10.4103/1673-5374.241465. PMID: 30323144; PMCID: PMC6199954. [doi] [pmid]
3. Alber J, Alladi S, Bae HJ, et al. White matter hyperintensities in vascular contributions to cognitive impairment and dementia (VCID): Knowledge gaps and opportunities. Alzheimers Dement (N Y). 2019 Apr 9;5:107-117. doi: 10.1016/j.trci.2019.02.001. PMID: 31011621; PMCID: PMC6461571. [doi] [pmid]
4. Mahammedi A, Wang LL, Williamson BJ, et al. Small Vessel Disease, a Marker of Brain Health: What the Radiologist Needs to Know. AJNR Am J Neuroradiol. 2022 May;43(5):650-660. doi: 10.3174/ajnr.A7302. Epub 2021 Oct 7. PMID: 34620594; PMCID: PMC9089248. [doi] [pmid]
5. Kloppenborg RP, Nederkoorn PJ, Geerlings MI, van den Berg E. Presence and progression of white matter hyperintensities and cognition: a meta-analysis. Neurology. 2014 Jun 10;82(23):2127-38. doi: 10.1212/WNL.0000000000000505. Epub 2014 May 9. PMID: 24814849. [doi] [pmid]
6. Maillard P, Fletcher E, Harvey Det al.. White matter hyperintensity penumbra. Stroke. 2011 Jul;42(7):1917-22. doi: 10.1161/STROKEAHA.110.609768. Epub 2011 Jun 2. PMID: 21636811; PMCID: PMC3125449. [doi] [pmid]
7. Maillard P, Fletcher E, Lockhart SN, et al.. White matter hyperintensities and their penumbra lie along a continuum of injury in the aging brain. Stroke. 2014 Jun;45(6):1721-6. doi: 10.1161/STROKEAHA.113.004084. Epub 2014 Apr 29. PMID: 24781079; PMCID: PMC4102626. [doi] [pmid]
8. Mayer C, Nägele FL, Petersen M, et al. Free-water diffusion MRI detects structural alterations surrounding white matter hyperintensities in the early stage of cerebral small vessel disease. J Cereb Blood Flow Metab. 2022 Sep;42(9):1707-1718. doi: 10.1177/0271678X221093579. Epub 2022 Apr 11. PMID: 35410517; PMCID: PMC9441727. [doi] [pmid]
9. Ferris JK, Greeley B, Vavasour IM, et al. In vivo myelin imaging and tissue microstructure in white matter hyperintensities and perilesional white matter. Brain Commun. 2022 Jun 6;4(3):fcac142. doi: 10.1093/braincomms/fcac142. PMID: 35694147; PMCID: PMC9178967. [doi] [pmid]
10. https://precisionagingnetwork.org/
11. Cieslak M, Cook PA, He X, Yeh FC, Dhollander T, Adebimpe A, Aguirre GK, Bassett DS, Betzel RF, Bourque J, Cabral LM, Davatzikos C, Detre JA, Earl E, Elliott MA, Fadnavis S, Fair DA, Foran W, Fotiadis P, Garyfallidis E, Giesbrecht B, Gur RC, Gur RE, Kelz MB, Keshavan A, Larsen BS, Luna B, Mackey AP, Milham MP, Oathes DJ, Perrone A, Pines AR, Roalf DR, Richie-Halford A, Rokem A, Sydnor VJ, Tapera TM, Tooley UA, Vettel JM, Yeatman JD, Grafton ST, Satterthwaite TD. QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data. Nat Methods. 2021 Jul;18(7):775-778. doi: 10.1038/s41592-021-01185-5. Epub 2021 Jun 21. PMID: 34155395; PMCID: PMC8596781. [doi] [pmid]
12. Avants, B. B., Tustison, N., & Song, G. (2009). Advanced normalization tools (ANTS). Insight j, 2(365), 1-35.
13. Zhang Y, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging. 2001 Jan;20(1):45-57. doi: 10.1109/42.906424. PMID: 11293691. [doi] [pmid]
14. Wiltgen T, McGinnis J, Schlaeger S, et al. LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation. medRxiv [Preprint]. 2024 Mar 11:2023.11.23.23298966. doi: 10.1101/2023.11.23.23298966. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/531-03-006