Abstract
The aim of this paper was to analyze the application value of resting-state functional magnetic resonance imaging (FMRI) parameters and rigid transformation algorithm in patients with type 2 diabetes (T2DM), which could provide a theoretical basis for the registration application of FMRI. 107 patients confirmed pathologically as T2DM and 51 community medical healthy volunteers were selected and divided into an experimental group and a control group, respectively. Besides, all the subjects were scanned with FMRI. Then, the rigid transformation-principal axis algorithm (RT-PAA), Levenberg–Marquardt iterative closest point (LMICP), and Demons algorithm were applied to magnetic resonance image registration. It was found that RT-PAA was superior to LMICP and Demons in image registration. The amplitude of low-frequency fluctuation (ALFF) values of the left middle temporal gyrus, right middle temporal gyrus, left fusiform gyrus, right inferior occipital gyrus, and left middle occipital gyrus in patients from the experimental group were lower than those of the control group (P < 0.05). The Montreal cognitive assessment (MoCA) score was extremely negatively correlated with the ALFF of the left middle temporal gyrus (r = −0.451 and P < 0.001) and highly positively associated with the ALFF of the right posterior cerebellar lobe (r = −0.484 and P < 0.001). In addition, the MoCA score of patients had a dramatically negative correlation with the ALFF of the left middle temporal gyrus (r = −0.602 and P < 0.001) and had a greatly positive correlation with the ALFF of the right posterior cerebellar lobe (r = −0.516 and P < 0.001). The results showed that RT-PAA based on rigid transformation in this study had a good registration effect on magnetic resonance images. Compared with healthy volunteers, the left middle temporal gyrus, right middle temporal gyrus, left fusiform gyrus, right inferior occipital gyrus, and left middle occipital gyrus in patients with T2DM showed abnormal neuronal changes and reduced cognitive function.
Highlights
IntroductionT2DM often occurs in adults (especially obese patients) after the age of 35, accounting for more than 90% of diabetic patients [1]
T2DM often occurs in adults after the age of 35, accounting for more than 90% of diabetic patients [1]
Brown et al [6] applied cardiac and abdominal MRI to dynamically monitor blood pressure and blood lipid levels of patients with T2DM and found that MRI could determine whether drug treatment could improve the left ventricular mass in patients with diabetes, so as to strengthen their cardiac protective effect. 3.0 MRI was employed to analyze the differences between the effects of high-intensity interval training and conventional treatment in patients with T2DM. us, the results showed that highintensity interval training effectively promoted the quality and systolic function of the left ventricular wall in patients with T2DM, and its improvement was much greater than that of conventional treatment [7]
Summary
T2DM often occurs in adults (especially obese patients) after the age of 35, accounting for more than 90% of diabetic patients [1]. It is generally believed that it may be the result of the combined effect on complex genetic and environmental factors Factors such as high glucose toxicity, insulin resistance, susceptibility genes, and dyslipidemia may all participate in the pathogenesis [2, 3]. E disease is extremely harmful to the human In severe cases, it could cause chronic complications of the whole body including nephropathy, retinopathy, neuropathy, macrovascular disease, microangiopathy, and diabetes foot, so as to result in a decrease in the patients’ life quality [4]. E relevant data show that about 15% of patients with T2DM will eventually develop mild cognitive disorder or even dementia. Due to the development of medical imaging technology, MRI has been extensively used in brain examinations of patients with T2DM. It only requires the patient to be quiet in an MRI machine, which can clearly show the subtle structure of the brain and reflect
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