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Current imaging devices are able to measure a huge amount of signals and images from our brain. One of the main challenges consists in processing those complex data to extract meaningful information correlated to external behaviors. In such attempt, different signal processing tools typically used in telecommunication, engineering, or even social sciences, have been introduced in the neuroscience to allow a more powerful analysis. In this sense, the analysis of the functional brain connectivity through a network-based approach represents one of the most promising advanced mathematical methods to study the brain function during motor and cognitive tasks, as well as in healthy and diseased subjects.
 




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