Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
362-06-006 ISMRM Abstract

Quantifying Axonal Microstructural Changes in Aging Using Ultra-High Gradient Diffusion MRI

Primary: Neuro - Aging
Secondary: Diffusion - Microstructure
362-06-006 · Neuroimaging Biomarkers of Aging, Vascular Health, and Dementia · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row C
Keywords: Aging White Matter Diffusion MRI Diffusion Microstructure Axon diameter
Accepted
Aneri Bhatt 1, Hansol Lee1, Kwok-Shing Chan1, Yixin Ma1, Jeremy N Ford2,3, Susie Huang1,4
1Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
2Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
3Harvard Medical School, Boston, United States of America
4Department of Radiology, Harvard Medical School, Boston, United States of America
Presenting Author: Aneri Bhatt

Synopsis

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References

1. T. Schulte, E.V. Sullivan, E.M. Müller-Oehring, E. Adalsteinsson, A. Pfefferbaum, Corpus Callosal Microstructural Integrity Influences Interhemispheric Processing: A Diffusion Tensor Imaging Study, Cerebral Cortex, Volume 15, Issue 9, September 2005, Pages 1384–1392, https://doi.org/10.1093/cercor/bhi020. [doi]
2. Aboitiz, Francisco; Rodriguez, Eugenio; Olivares, Ricardo; Zaidel, Eran. Age-related changes in fibre composition of the human corpus callosum: sex differences. NeuroReport 7(11):p 1761-1764, July 29, 1996. DOI: 10.1097/00001756-199607290-00013. [doi]
3. Fan Q, Tian Q, Ohringer NA, Nummenmaa A, Witzel T, Tobyne SM, Klawiter EC, Mekkaoui C, Rosen BR, Wald LL, Salat DH, Huang SY. Age-related alterations in axonal microstructure in the corpus callosum measured by high-gradient diffusion MRI. Neuroimage. 2019 May 1;191:325-336. doi: 10.1016/j.neuroimage.2019.02.036. [doi]
4. Ramos-Llordén, G., Lee, HH., Davids, M. et al. Ultra-high gradient connectomics and microstructure MRI scanner for imaging of human brain circuits across scales. Nat. Biomed. Eng (2025). https://doi.org/10.1038/s41551-025-01457-x. [doi]
5. Assaf Y, Blumenfeld-Katzir T, Yovel Y, Basser PJ. AxCaliber: a method for measuring axon diameter distribution from diffusion MRI. Magn Reson Med. 2008 Jun;59(6):1347-54. doi: 10.1002/mrm.21577. [doi]
6. Fan Q, Nummenmaa A, Witzel T, et al. Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI. NeuroImage. 2020;222:117197. doi:10.1016/j.neuroimage.2020.117197. [doi]
7. Xie S, Zhang Z, Chang F, Wang Y, Zhang Z, et al. (2016) Subcortical White Matter Changes with Normal Aging Detected by Multi-Shot High Resolution Diffusion Tensor Imaging. PLOS ONE 11(6): e0157533. https://doi.org/10.1371/journal.pone.0157533. [doi]
8. Mahmutovic M, Shrestha M, Ramos‐Llordén G, et al. High‐density MRI coil arrays with integrated field monitoring systems for human connectome mapping. Magn Reson Med. 2025. doi:10.1002/mrm.30606. [doi]
9. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005 Apr;53(4):695-9. doi: 10.1111/j.1532-5415.2005.53221.x. [doi]
10. 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;183:532-543. DOI: 10.1016/j.neuroimage.2018.07.066. [doi]
11. Chan KS, Ma Y, Lee H, Huang SY, Marques JP, Lee HH. GACELLE: GPU-AcCELerated toolbox for high-throughput multidimensionaL quantitative parameter Estimation. In: Proceedings 33. Annual Meeting International Society for Magnetic Resonance in Medicine. Vol 33. Honolulu, United States; 2025:0938. doi:10.58530/2025/0938. [doi]
12. Oishi K, Faria A, Jiang H, Li X, Akhter K, Zhang J, Hsu JT, Miller MI, van Zijl PC, Albert M, Lyketsos CG, Woods R, Toga AW, Pike GB, Rosa-Neto P, Evans A, Mazziotta J, Mori S. Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants. Neuroimage. 2009 Jun;46(2):486-99. doi: 10.1016/j. [doi]
13. Fischl B. FreeSurfer. Neuroimage. 2012 Aug 15;62(2):774-81. doi: 10.1016/j.neuroimage.2012.01.021. [doi]
14. Aboitiz F, Scheibel AB, Zaidel E, 1992b. Morphometry of the Sylvian fissure and the corpus callosum, with emphasis on sex differences. Brain 115 (Pt 5), 1521–1541. DOI: 10.1093/brain/115.5.1521 [doi]
15. Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RS, Busa E, Morris JC, Dale AM, Fischl B. Thinning of the cerebral cortex in aging. Cereb Cortex. 2004 Jul;14(7):721-30. doi: 10.1093/cercor/bhh032. [doi]
16. Pfefferbaum A, Adalsteinsson E, Sullivan EV, 2005. Frontal circuitry degradation marks healthy adult aging: evidence from diffusion tensor imaging. Neuroimage 26, 891–899. DOI: 10.1016/j.neuroimage.2005.02.034 [doi]
17. Bender AR, Volkle MC, Raz N, 2016b. Differential aging of cerebral white matter in middle-aged and older adults: a seven-year follow-up. Neuroimage 125, 74–83. DOI: 10.1016/j.neuroimage.2015.10.030 [doi]

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http://echo.ismrm.org/p/ISMRM2026/362-06-006