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Brain Network Connectivity of Patients With Metabolic Diseases

NCT06725589 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 690

Last updated 2024-12-10

No results posted yet for this study

Summary

The global prevalence of metabolic diseases, including hypertension, type 2 T2DM mellitus (T2DM), gout and obesity, has risen over the past two decades. Brain controls human behavior and metabolism in organisms. It will be very interesting to explore whether there are similarities or relations among different metabolic diseases and how brain might be involved in the progression of different metabolic diseases.

We analyzed the PET-CT images and clinical biological markers of 112 cases of hypertension, 56 cases of T2DM, 11 cases of obesity, 14 cases of gout, and 497 cases without the above diseases. Standardized uptake value ratios (SUVRs) were extracted from different brain regions according to AAL brain atlas using Spatial-Normalization-of-Brain-PET-Images. Partial correlation analysis was used to analyze the correlation of the SUVRs of different brain regions with clinical biological markers by controlling sex, age and BMI. Brain network metabolic connectivity was analyzed using Permutation\_IHEP software and visualized using BrainNet Viewer.

Conditions

  • Metabolic Disease

Interventions

OTHER

metabolic disease

metabolic disease

Sponsors & Collaborators

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2024-06-30
Completion
2024-06-30

Countries

  • China

Study Locations

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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 NCT06725589 on ClinicalTrials.gov