Statistical analysis was carried out using SPSS Statistical Software Package 19.0 (SPSS, Inc., Chicago, Illinois, U.S.). The normal distribution was verified using the Shapiro–Wilk test. Furthermore, Levene’s test was used to confirm the equality of variances. A paired t-test (p < 0.05) was employed to assess the MRI and histological data. Although the data showed a normal distribution, the low number of cases examined required performing a non-parametric Mann–Whitney test to support the results of the parametric test. Moreover, to verify the accuracy of each landmark’s measurement, we examined the differences between the values obtained between the rostrocaudal landmarks (LI–A, A–LV, LV–LGN, LGN–Pul, and Pul–Fx) in both techniques. A univariate ANOVA was performed for this purpose, with a p-value of 0.05 as the threshold for statistical significance.
Spss statistical software package 19
Manufactured by IBM
Sourced in United States
SPSS Statistical Software Package 19.0 is a comprehensive analytical software suite designed for statistical analysis. It provides a wide range of tools and functionalities for data management, exploration, modeling, and reporting. The software is primarily used for advanced statistical analysis, including regression, factor analysis, and time series analysis.
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Lab products found in correlation
2 protocols using spss statistical software package 19
1
Multimodal Brain Imaging Analysis Protocol
2
Cell Density Analysis Protocol
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The statistical analysis was carried out using the SPSS Statistical Software Package 19.0 (SPSS Inc., Chicago, Illinois, U.S.A). Individual data for each case, region, and layer are shown in Table 2 . The mean cell density value (immunostained cells/mm2) in each group (CG and HYG) was used for the statistical analysis. The normal distribution was verified using the Shapiro–Wilk test. Levene's test was performed to confirm the equality of variances. An unpaired t‐test (p < 0.05) was employed to assess the data obtained from density analysis. Although the data showed a normal distribution, since the number of cases studied was low, a non‐parametric Mann–Whitney test was carried out to support the results of the parametric tests. Data were expressed as means ± SEM for each group.
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