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Characteristics of Papez Loop Neural Network in T2DM (Type 2 Diabetes Mellitus)
Sponsor: Nanjing First Hospital, Nanjing Medical University
Summary
This is a cross-sectional and longitudinal study to investigate the characteristic changes in Papez's circuit neural network activity and connectivity based on multimodal MRI, and through follow-up study of the interaction between the internal brain regions of Papez circuit and the function of the external neural network, a prediction model of the characteristic changes of Papez circuit neural network was constructed based on machine learning technology.
Official title: Construction of Papez Loop Neural Network Feature Recognition Model and Prediction Model of Cognitive Impairment Progression Related to Insulin Resistance in Type 2 Diabetes Mellitus
Key Details
Gender
All
Age Range
45 Years - 70 Years
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2024-05-01
Completion Date
2030-12-31
Last Updated
2025-04-04
Healthy Volunteers
Yes
Interventions
No Intervention: Observational Cohort
No intervention:all participants did not receive any intervention measures throughout the study
Locations (1)
Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University
Nanjing, Jiangsu, China