The field of computational neuroscience and neuroimaging is showing a great interest in the application of statistical and mathematical techniques to represent and study complex brain structures. Neural data is complicated and, as the field of brain connectomics has developed, new techniques to represent and analyze the human connectome to obtain a description of the brain's structural and functional connections emerged. There exist different imaging techniques to acquire measurements of brain structure and activity, such as electroencephalography, magnetoencephalography, calcium imaging or functional magnetic resonance imaging. One of the main challenges in neuroscience consists in understanding the global brain organization and the correlation that exists among different brain measurements.