Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
464-03-006 ISMRM Abstract

Region Specific Deep Gray Matter Iron Dysregulation Mediates Cognitive Impairment in Type 2 Diabetes

Primary: Neuro - Other Neurodegeneration
Secondary: Analysis Methods - Data Processing
464-03-006 · Neurodegenerative Diseases · Tuesday, 12 May, 1:40 PM–2:35 PM · Digital Posters Row E
Keywords: Quantitative Susceptibility mapping Cognitive impairment Type 2 diabetes mellitus Iron deposition Deep gray matter nuclei
Accepted
Kun Wang 1, Jiahe Wang1, Ziyu Diao1, Hao dong Qin2, Shijun Qiu3,4, Jie An3
1Guangzhou university of chinese medicine, Guangzhou, China
2MR Research Collaboration, Siemens Healthineers, Guangzhou, Chin, Guangzhou, China
3Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
4State Key Laboratory of Traditional Chinese Medicine Syndrome, guangzhou, China
Presenting Author: Kun Wang

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References

1. Lyu F, Wu D, Wei C, Wu A. Vascular cognitive impairment and dementia in type 2 diabetes mellitus: An overview. Life Sci. Aug 1 2020;254:117771. doi:10.1016/j.lfs.2020.117771 [doi]
2. An JR, Wang QF, Sun GY, et al. The Role of Iron Overload in Diabetic Cognitive Impairment: A Review. Diabetes Metab Syndr Obes. 2023;16:3235-3247. doi:10.2147/DMSO.S432858 [doi]
3. Dixon SJ, Stockwell BR. The role of iron and reactive oxygen species in cell death. Nat Chem Biol. Jan 2014;10(1):9-17. doi:10.1038/nchembio.1416 [doi]
4. Carson N, Leach L, Murphy KJ. A re-examination of Montreal Cognitive Assessment (MoCA) cutoff scores. Int J Geriatr Psychiatry. Feb 2018;33(2):379-388. doi:10.1002/gps.4756 [doi]
5. Jia X, Wang Z, Huang F, et al. A comparison of the Mini-Mental State Examination (MMSE) with the Montreal Cognitive Assessment (MoCA) for mild cognitive impairment screening in Chinese middle-aged and older population: a cross-sectional study. BMC Psychiatry. Oct 4 2021;21(1):485. doi:10.1186/s12888-021-03495-6 [doi]
6. Zhao Q, Guo Q, Liang X, et al. Auditory Verbal Learning Test is Superior to Rey-Osterrieth Complex Figure Memory for Predicting Mild Cognitive Impairment to Alzheimer's Disease. Curr Alzheimer Res. 2015;12(6):520-6. doi:10.2174/1567205012666150530202729 [doi]
7. Mateen BA, Bussas M, Doogan C, et al. The Trail Making test: a study of its ability to predict falls in the acute neurological in-patient population. Clin Rehabil. Oct 2018;32(10):1396-1405. doi:10.1177/0269215518771127 [doi]
8. Jaeger J. Digit Symbol Substitution Test: The Case for Sensitivity Over Specificity in Neuropsychological Testing. J Clin Psychopharmacol. Oct 2018;38(5):513-519. doi:10.1097/JCP.0000000000000941 [doi]
9. Tolle KA, Rahman-Filipiak AM, Hale AC, Kitchen Andren KA, Spencer RJ. Grooved Pegboard Test as a measure of executive functioning. Appl Neuropsychol Adult. Sep-Oct 2020;27(5):414-420. doi:10.1080/23279095.2018.1559165 [doi]
10. Cacho J, Benito-Leon J, Garcia-Garcia R, Fernandez-Calvo B, Vicente-Villardon JL, Mitchell AJ. Does the combination of the MMSE and clock drawing test (mini-clock) improve the detection of mild Alzheimer's disease and mild cognitive impairment? J Alzheimers Dis. 2010;22(3):889-96. doi:10.3233/JAD-2010-101182 [doi]
11. Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage. Feb 14 2011;54(4):2789-807. doi:10.1016/j.neuroimage.2010.10.070 [doi]
12. Biondetti E, Karsa A, Grussu F, et al. Multi-echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla. Magn Reson Med. Nov 2022;88(5):2101-2116. doi:10.1002/mrm.29365 [doi]
13. Li W, Wang N, Yu F, et al. A method for estimating and removing streaking artifacts in quantitative susceptibility mapping. Neuroimage. Mar 2015;108:111-22. doi:10.1016/j.neuroimage.2014.12.043 [doi]
14. Li W, Wu B, Liu C. Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition. Neuroimage. Apr 15 2011;55(4):1645-56. doi:10.1016/j.neuroimage.2010.11.088 [doi]
15. Larsen B, Bourque J, Moore TM, et al. Longitudinal Development of Brain Iron Is Linked to Cognition in Youth. J Neurosci. Feb 26 2020;40(9):1810-1818. doi:10.1523/JNEUROSCI.2434-19.2020 [doi]
16. Jiang X, Stockwell BR, Conrad M. Ferroptosis: mechanisms, biology and role in disease. Nat Rev Mol Cell Biol. Apr 2021;22(4):266-282. doi:10.1038/s41580-020-00324-8 [doi]
17. Chohan H, Senkevich K, Patel RK, et al. Type 2 Diabetes as a Determinant of Parkinson's Disease Risk and Progression. Mov Disord. Jun 2021;36(6):1420-1429. doi:10.1002/mds.28551 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/464-03-006