De Vico Fallani, Fabrizio

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    In the last years, many different brain-imaging devices have conveyed a lot of information about the brain functioning in different experimental conditions.
    Accordingly, biomedical engineers together with mathematicians, physicists and psychologists are called to process the complex data related to the brain activity in order to extract meaningful and robust information to be correlated with the external behaviors.
    In such attempt, different signal processing tools tipically used in telecommunication, engineering, or even social sciences, have been adapted and used in the neuroscience to allow a more powerful analysis. 
    In this sense, the analysis of the functional brain connectivity through a network-based approach is representing one of the most promising procedures to study the brain functioning during motor or cognitive tasks.

    Highlight

    (From De Vico Fallani F, Chessa A, Valencia M, Chavez M, Astolfi L, Cincotti F, Mattia D, Babiloni F. (2012)
    Community structure in large-scale cortical networks during motor acts.
    Chaos, Solitons, and Fractals,          45(5):603-10)

    Characteristic cortical network in the representative Beta1 (14-22 Hz)

    band estimated from high-resolution EEG signals during finger extension

    execution (EXE).

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