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Journal of Clinical and
            Basic Psychosomatics                          Depressive disorder obstructive sleep apnea hypothalamic inflammation



            2.4. Image processing and analysis                 using the median and analyzed using the rank-sum test.

            Scanning was performed using a GE Discovery MR750W   Correlation analysis of non-bivariate normal distribution
            3.0T magnetic resonance imager at the Affiliated Changzhou   data was performed using Pearson’s correlation analysis.
            No.  2 People’s Hospital of Nanjing Medical University,   3. Results
            Changzhou. The scanning parameters and methods employed
                                                        [10]
            in this study have been described in our previous studies .   3.1. Demographic and clinical characteristics of
            The ITK-SNAP software (developed by the University of   participants
            Pennsylvania) was utilized for image preprocessing, which   A total of 62 obese patients were enrolled in this study,
            included the following steps: (i) conversion of imaging   comprising 18 individuals with depression and 44 without
            data format to DCM; (ii) importing data in the ITK-SNAP   depression. There were no significant differences in age,
            software; (iii) parameter adjustment; (iv) selection of regions   educational level, fasting blood glucose, glycosylated
            of interest ROIs located between the posterior mammillary   hemoglobin,  low-density  lipoprotein,  high-density
            body and the anterior optic chiasm [20-23] , with an area   lipoprotein, total cholesterol, uric acid, creatinine, or urea
            of 10 mm ; (v) identification of bilateral amygdala [20-23] ;   nitrogen between the two groups (p > 0.05). However, a
                    2
            (vi) deriving the average value of gray intensity; and   significant difference  in triglyceride levels  was observed
            (vii) calculating the hypothalamus-to-amygdala (H/A) ratio.  between the non-depressive disorder group and the
              Neurologists independently analyzed imaging data   depressive disorder group (p < 0.05; Table 1).
            from all obese patients, calculating the H/A ratio based on
            the average gray intensity value .                 3.2. Sleep monitoring
                                     [10]
                                                               The monitoring data in Sleepware G3 are interpreted in
            2.5. Statistical analyses                          accordance with the 2017 rules of the American Academy
            Data analysis was conducted using SPSS 22.0 statistical   of Sleep Medicine. During this process, technicians review
            software. Descriptive statistics were used to express the   and interpret the raw data. Respiratory events were defined
            data as mean ± standard deviation (x̄ ± s). The normality of   as sleep apnea, including apnea and hypopnea events, as
            data distribution was assessed using the Shapiro–Wilk test.   well as instances where the heat-sensitive airflow sensor
            For data with normal distribution, the t-test was applied.   signals were lost. The respiratory event index (REI)
            Data with a non-normal distribution were expressed   can be calculated by dividing the number of apneas

            Table 1. Comparison of demographic and clinical characteristics of patients between the depressive disorder group and the
            non‑depressive disorder group
            Variable                 Non‑depression disorder group (N=44)  Depressive disorder group (N=18)  T or F  p
                -
            Age (x±s)                         28.86±6.71                    28.28±5.35           0.33    0.119
            Education (n [%])                                                                    1.15    0.287
             Primary school and below         10 (22.73%)                   2 (11.11%)
             Secondary school                 5 (11.36%)                    2 (11.11%)
             Undergraduate and above          29 (65.91%)                   14 (77.78%)
                   2 -
            BMI (kg/m , x±s)                  41.02±6.23                    40.28±7.01           0.41    0.635
            FBG (mmol/L, M [P25, P75])       5.51 (4.96, 5.87)            6.98 (4.75, 10.44)     1.06    0.307
            HbA1c (%, M [P25, P75])          5.65 (5.40, 6.20)            6.80 (5.55, 8.95)      3.24    0.077
                        -
            LDL-C (mmol/L, x±s)                2.92±0.87                    3.14±0.85            0.87    0.673
                        -
            HDL-C (mmol/L, x±s)                1.04±0.24                    0.95±0.17            1.44    0.491
            TG (mmol/L, M [P25, P75])        1.74 (1.35, 2.38)            2.41 (1.97, 3.46)      4.79    0.032
            TC (mmol/L, M [P25, P75])        4.59 (4.10, 5.19)            4.90 (4.40, 5.61)      2.83    0.098
                     -
            UA (mmol/L, x±s)                 435.36±121.56                 428.22±88.68          0.23    0.074
            Scr (mmol/L, M [P25, P75])      72.50 (63.75,79.50)          66.00 (55.43,76.50)     0.87    0.355
            BUN (mmol/L, M [P25, P75])       4.15 (3.48, 5.05)            4.05 (3.60, 5.00)      0.06    0.802
                                                -
            Legends: M [P25, P75]: Median and interquartile range; x±s: Mean±standard deviation.
            Abbreviations: BMI: Body mass index; BUN: Blood urea nitrogen; FBG: Fasting blood glucose; HbA1C: Hemoglobin A1C; HDL-C: High-density
            lipoprotein cholesterol; LDL-C: Low-density lipoprotein cholesterol; TC: Total cholesterol; TG: Triglyceride; UA: Uric acid; Scr: Serum creatinine.


            Volume 2 Issue 1 (2024)                         3                        https://doi.org/10.36922/jcbp.1040
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