Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
468-02-015 ISMRM Abstract

Morphometric Inverse Divergence Network from structural MRI to Predict Cognitive Decline in Diabetes

Primary: Neuro - Alzheimer's Disease
Secondary: Analysis Methods - Data Processing
468-02-015 · Type 2 Diabetes · Tuesday, 12 May, 9:15 AM–10:10 AM · Digital Posters Row I
Keywords: Brain Morphometric INverse Divergence (MIND) Diabetes mellitus
Accepted
Yiwen Bao 1, Daming Shen2, Yu Zhou1, Dongfeng Wei3, Yaqing Ji1, Yuanyuan Liu4, Lili Guo1
1Department of Medical Imaging, The Affiliated Huai’an No.1 People's Hospital of Nanjing Medical University, Huai'an, China
2MR Research China, GE Healthcare, Beijing, China
3Department of Medical Imaging, Huai'an Industrial Park People's Hospital, Huai'an, China
4Department of Endocrinology, The Affiliated Huai’an No.1 People's Hospital of Nanjing Medical University, Huai'an, China
Presenting Author: Yiwen Bao

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Santiago JA, Karthikeyan M, Lackey M, et al.Diabetes: a tipping point in neurodegenerative diseases[J].Trends Mol Med,2023, 29 (12): 1029-1044. https://doi.org/10.1016/j.molmed.2023.09.005 [doi]
2. Husain KH, Sarhan SF, Alkhalifa H, et al.Dementia in Diabetes: The Role of Hypoglycemia[J].Int J Mol Sci,2023, 24 (12). https://doi.org/10.3390/ijms24129846 [doi]
3. Petersen RC, Lopez O, Armstrong MJ, et al.Practice guideline update summary: Mild cognitive impairment [RETIRED]: Report of the Guideline Development, Dissemination, and Implementation Subcommittee of the American Academy of Neurology[J].Neurology,2018, 90 (3): 126-135. https://doi.org/10.1212/wnl.0000000000004826 [doi]
4. Geijselaers SLC, Sep SJS, Stehouwer CDA, et al.Glucose regulation, cognition, and brain MRI in type 2 diabetes: a systematic review[J].Lancet Diabetes Endocrinol,2015, 3 (1): 75-89. https://doi.org/10.1016/s2213-8587(14)70148-2 [doi]
5. Dai P, Yu Y, Sun Q, et al.Abnormal changes of brain function and structure in patients with T2DM-related cognitive impairment: a neuroimaging meta-analysis and an independent validation[J].Nutrition & Diabetes,2024, 14 (1): 91. https://doi.org/10.1038/s41387-024-00348-5 [doi]
6. Hu B, Yan LF, Sun Q, et al.Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis[J].Neuroimage Clin,2019, 22: 101802. https://doi.org/10.1016/j.nicl.2019.101802 [doi]
7. Bullmore E, Sporns O.Complex brain networks: graph theoretical analysis of structural and functional systems[J].Nature Reviews Neuroscience,2009, 10 (3): 186-198. https://doi.org/10.1038/nrn2575 [doi]
8. Schaefer A, Kong R, Gordon EM, et al.Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI[J].Cereb Cortex,2018, 28 (9): 3095-3114. https://doi.org/10.1093/cercor/bhx179 [doi]
9. Sebenius I, Seidlitz J, Warrier V, et al.Robust estimation of cortical similarity networks from brain MRI[J].Nat Neurosci,2023, 26 (8): 1461-1471. https://doi.org/10.1038/s41593-023-01376-7 [doi]
10. Serin E, Zalesky A, Matory A, et al.NBS-Predict: A prediction-based extension of the network-based statistic[J].Neuroimage,2021, 244: 118625. https://doi.org/10.1016/j.neuroimage.2021.118625 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/468-02-015