364-05-014 ISMRM Abstract

Mechanisms of Age- and Vascular-related Corpus Callosum Microstructure with Biophysical Modeling of Diffusion MRI

Primary: Neuro - Aging

Secondary: Diffusion - Microstructure

364-05-014 · Classification in Diffusion MRI I · Monday, 11 May, 4:10 PM–5:05 PM · Digital Posters Row E

Keywords: Aging Diffusion MRI White Matter Hyperintensities Standard model imaging Microstructural alterations

Accepted

Hanie Karimi ¹, Trevor Exell², Scott Peltier^2,3, Douglas C Noll^1,2,3, Benjamin M Hampstead^2,4,5, Alexandru D Iordan^2,4, Ana Daugherty^2,6, Shruti Mishra^1,2

¹Department of Radiology, University of Michigan, Ann Arbor, United States of America

²Michigan Alzheimer Disease Research Center, Ann Arbor, United States of America

³Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, United States of America

⁴Research Program on Cognition and Neuromodulation Based Interventions, Departments of Psychiatry & Neurology, University of Michigan, Ann Arbor, United States of America

⁵Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, United States of America

⁶Wayne State University, Detroit, United States of America

Presenting Author: Hanie Karimi

Synopsis

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References

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2. VandeBunte AM, Fonseca C, Paolillo EW, et al. Regional Vulnerability of the Corpus Callosum in the Context of Cardiovascular Risk. Journal of Geriatric Psychiatry and Neurology 2023; 36(5): 397-406. PMID: 36710073 [pmid]

3. Raghavan S, Przybelski SA, Reid RI, et al. Reduced fractional anisotropy of the genu of the corpus callosum as a cerebrovascular disease marker and predictor of longitudinal cognition in MCI. Neurobiology of Aging 2020; 96: 176-83. PMID: 33022474 [pmid]

4. Figley CR, Uddin MN, Wong K, Kornelsen J, Puig J, Figley TD. Potential Pitfalls of Using Fractional Anisotropy, Axial Diffusivity, and Radial Diffusivity as Biomarkers of Cerebral White Matter Microstructure. Frontiers in Neuroscience 2022; Volume 15 - 2021. PMID: 35095400 [pmid]

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6. Coelho S, Baete SH, Lemberskiy G, et al. Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems. NeuroImage 2022; 257: 119290. PMID: 35545197 [pmid]

7. Ades-Aron B, Veraart J, Kochunov P, et al. Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline. Neuroimage 2018; 183: 532-43. PMID: 30077743 [pmid]

8. Wiltgen T, McGinnis J, Schlaeger S, et al. LST-AI: A deep learning ensemble for accurate MS lesion segmentation. NeuroImage: Clinical 2024; 42: 103611. PMID: 38045345 [pmid]

9. Mori S, Oishi K, Jiang H, et al. Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. NeuroImage 2008; 40(2): 570-82. PMID: 18255316 [pmid]

10. Woolrich MW, Jbabdi S, Patenaude B, et al. Bayesian analysis of neuroimaging data in FSL. Neuroimage 2009; 45(1 Suppl): S173-86. PMID: 19059349 [pmid]

11. Avants BB, Tustison N, Song G. Advanced normalization tools (ANTS). Insight j 2009; 2(365): 1-35.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/364-05-014