Histogram analysis

The histogram analysis allows you to observe and compare the histogram of distributions of a measure of the two groups of subjects.

Here, you can analyze a selected measure, choosing its spatial and frequency parameters, and visually compare the plotted values for the two studied groups of subjects, also selecting the resolution.

After the measure, you have to select the frequency band and what kind of spatial analysis you want to analyze between:

• Areas, to study one of the macroareas (frontal area, temporal area, central area, parietal area or occipital area)
• Total, to study the single locations
• Asymmetry, to study the differences on the measure between the right and the left neural hemisphere
• Global, to study the overall measure value

After that, you have to select the spatial location and the wished resolution, between:

• 30, to use 30 bins
• 10, to use 10 bins
• 5, to use 5 bins
• Scott, to use the Scott’s rule (it is optimal if the data is close to being normally distributed, but is also appropriate for most other distributions)
• FD, to use the Freedman-Diaconis rule (it is less sensitive to outliers in the data, and may be more suitable for data with heavy-tailed distributions)

However, in the last two cases, the edges of the bins will be computed on the overall distribution of the two analyzed groups (if both are present).

Now, you can run your analysis through the OK button.

You can also Export your analysis in an external figure, which you can modify and save whenever you want.

Now you can execute other analyzes of the histogram of distributions, or return to the previous interface in order to execute other statistical analysis.