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Discoveries associated with a more precise comprehension of the connections inside human brain are foreseen as disruptive in many fields: from improved neurological disorders treatment to strong artificial intelligence, as well as more precise and less invasive diagnostic tools and, finally, improved Big Data systems. For this purpose, Brain Networks (BNs) are used to quickly and accurately model and map neural interconnections inside human brain. A common statistical tool that helps analysis and definition of BNs is the Pearson’s Correlation Coefficient (PCC), which is able to identify the correlation between neurons or groups of neighboring neurons. However, the computational power that