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Characteristics of Papez Loop Neural Network in T2DM （Type 2 Diabetes Mellitus）

NCT06912321 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2025-04-04

No results posted yet for this study

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.

Conditions

Interventions

OTHER

No Intervention: Observational Cohort

No intervention：all participants did not receive any intervention measures throughout the study

Sponsors & Collaborators

  • Nanjing First Hospital, Nanjing Medical University

    lead OTHER

Principal Investigators

  • Wenqing Xia, PHD · Department of Endocrinology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China

Eligibility

Min Age
45 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-05-01
Primary Completion
2030-05-01
Completion
2030-12-31

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06912321 on ClinicalTrials.gov