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

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.

Eligibility

Inclusion Criteria:

1. T2DM patients met the diagnostic criteria for diabetes (WHO, 1999) with a duration of 3-20 years; The control group met the criteria of fasting blood glucose \< 6.1mmol/l and glycosylated hemoglobin \< 5.7%;
2. right-handed, aged 45-70 years, with ≥8 years of education;
3. no contraindications to MRI scanning such as electronic and metal device implantation;
4. The visual acuity or corrected visual acuity and binaural hearing can meet the needs of the evaluation, and can cooperate to complete the examination.
5. without a history of substance abuse or dependence, evaluation is not used during the period of calm sleeping pills and antidepressants, not long-term use of drugs to improve cognitive.

Exclusion Criteria:

1. patients with acute metabolic complications or a history of severe hypoglycemia;
2. severe heart, liver, lung, kidney and hematopoietic system diseases; Hyperthyroidism or hypothyroidism; Stroke, alzheimer's disease, epilepsy, Parkinson's disease and other neurological history; A history of mental illness such as depression, mania, or alcohol dependence; History of loss of consciousness due to neurological diseases or traumatic brain injury;
3. one month before the laboratory examination, with a record and surgical trauma infection;

Conditions4

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