Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition • 09-14 May 2026
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468-02-001.
Iron Homeostasis Imbalance and Cognitive Dysfunction in Type 2 Diabetes: Insights from Quantitative Susceptibility Mapping
Impact: This study provides in evidence that iron dysregulation mediates cognitive decline in type 2 diabetes. It highlights quantitative susceptibility mapping as a promising biomarker for early detection, encouraging new research on metabolic–neurodegenerative interactions and preventive strategies for diabetic cognitive impairment.
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468-02-002.
Assessing the Oxygen Extraction Fraction in Type Ⅱ Diabetes Mellitus and the relationship with cognitive impairment.
Impact: This study highlights
the differences of OEF in different brain subregions between healthy controls and patients with T2DM, and explores the association between the OEF of right amygdala and cognitive scores.
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468-02-003.
Thalamic subregions link Type 2 Diabetes Mellitus to slowed processing speed: UK Biobank evidence with Jinan validation
Impact: Identification of the mediodorsal medial and paracentral thalamic nuclei provides nucleus-level biomarkers of diabetes-related processing-speed slowing. Partial mediation indicates mechanistic relevance and actionable targets for risk stratification and speed-preserving interventions in at-risk T2DM populations.
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468-02-004.
Regional Cerebral Perfusion and Cognitive Function are Lower in Type 2 Diabetes with Obesity
Impact: Regional
hypoperfusion in Type 2 Diabetes overlapped with regions implicated in Alzheimer’s disease
(AD). Treatment with novel tirzepatide, a dual GIP/GLP-1 receptor agonist, likely
reduces AD risk by increasing perfusion to the precuneus and neighboring
posterior regions, thereby improving cognition.
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468-02-005.
Genetic Underpinnings of Cortical Volume Changes in Type 2 Diabetes: An Integrative Transcriptional and Neuroimaging Analysis
Impact: This study identified underlying risk genes associated with cerebral cortex volume (CCV) alternations in T2DM by conducting a transcription-neuroimaging association study, which provide insight into genetic underpinnings for CCV change in T2DM.
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468-02-006.
MRI Volumetric Assessment of Brain Subcortical Deep Grey Nuclei in Type I and Type 2 Diabetes Using Normative Modeling
Impact: Alterations in deep grey matter nuclei in Type 1 and Type 2 diabetes offer critical insight into disease-related neurodegeneration. Using normative models enhances sensitivity to subtle volumetric deviations, providing a powerful approach to detect and monitor diabetes-associated brain changes.
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468-02-007.
Effects of Aging and Type 2 Diabetes on Neurovascular Coupling to Visual Stimulation
Impact: This study demonstrates that healthy aging reduces HRF peak amplitude in
the visual cortex, while type 2 diabetes further alters HRF duration,
highlighting distinct and additive impairments in neurovascular coupling, with
implications for understanding neurovascular contributions to cognitive
deficits.
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468-02-008.
Neuroanatomical Subtypes in Type 2 Diabetes Mellitus Reveal Cortical Heterogeneity with Cognitive and Metabolic Dysfunction
Impact: This study delineates neuroanatomical heterogeneity in type 2 diabetes mellitus (T2DM), demonstrating subtype-specific cortical morphometric similarity network (MSN) alterations associated with cognition and metabolism. These findings advance understanding of T2DM-related brain heterogeneity and may inform future personalized interventions.
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468-02-009.
Preliminary Study on Left Ventricular Myocardial Microcirculatory Perfusion in Type 2 Diabetes Mellitus Using IVIM Imaging
Impact: Among patients with Type 2 Diabetes Mellitus (T2DM),myocardial microcirculatory dysfunction manifests prior to overt cardiac structural or functional abnormalities, with severity correlating significantly with diabetes duration and glycemic control.IVIM imaging enables detection of these early pathological alterations.
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468-02-010.
The decrease of CMRO2 was associated with depression severity in Parkinson’s disease with type-2 diabetes mellitus
Impact: For the first time, our study showed CMRO2 change was associated with depression in PDDM patients. Our study may shed light on why PDDM tends to have more severe depression symptom than PDND.
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468-02-011.
Evidence of Early Cerebrovascular Dysfunction in Youth-Onset Type 2 Diabetes
Impact: This study provides evidence that, even in adolesence, Type-2 diabetes leads to degradation of both peripheral and brain vasculature. Furthermore, the cerebrovascular impact of diabetes extends beyond detrimental effects of obesity. This may impact treatment strategies for pediatric-onset diabetes.
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468-02-012.
Assessment of Lower-Limb Muscle Elasticity and Viscosity in Type 2 Diabetes Using Magnetic Resonance Elastography
Impact: MRE enables noninvasive quantification of muscle stiffness alterations in diabetic neuropathy. Muscle elasticity/viscosity show promise for early detection, risk stratification, and longitudinal monitoring of DPN.
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468-02-013.
Association between skeletal muscle metabolic characteristics and frailty score in patients with type 2 diabetes mellitus
Impact: This study identifies elevated muscle lipids as a key frailty biomarker in type 2 diabetes, enabling earlier detection. It provides clinicians a potential tool for risk stratification and prompts research into mechanisms linking metabolism to muscle function decline.
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468-02-014.
Conventional MRI Combined with Elastography for Assessing Muscle Strength in Type 2 Diabetes Mellitus
Impact: This study demonstrates that MRE can noninvasively assess muscle strength in patients with diabetes, providing new insights into muscle functional impairment and laying the groundwork for investigating the role of biomechanical properties in diabetes and developing targeted interventions.
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468-02-015.
Morphometric Inverse Divergence Network from structural MRI to Predict Cognitive Decline in Diabetes
Impact: This study demonstrates that the MIND network can predict cognitive decline in diabetes, enabling early identification of at-risk individuals for timely intervention and improved patient management.
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© 2026 International Society for Magnetic Resonance in Medicine