Method of constructing a data structure representative of a dynamic reorganization of a plurality of brain networks, corresponding device and program

An electronic device for determining a sequence of activation of a set of brain networks during a predetermined cognitive task, the electronic device comprising:

• a data processor;
• and
• a non-transitory computer-readable medium comprising instructions stored thereon, which when executed by the data processor configure the device to perform acts comprising:
• obtaining at least one time series of data on encephalographic activities, according to a predetermined sampling value, said data on activity representing a signal captured on the cranial surface by at least one capture device during the execution of said predetermined cognitive task by at least one individual, wherein the obtaining delivers a set comprising at least one measurements vector per sample of the time series;
• determining a connectivity between cortical sources for each measurement vector, said cortical sources being obtained from measurements of a measurement vector, delivering a connectivity network;
• and
• grouping connectivity networks according to a resemblance parameter delivering a set of groups of grouped connectivity networks, each being representative, at a given instant, of an activity of a given brain network, wherein grouping comprises a statistic validation of said groups of connectivity networks obtained from substitution data, comprising a comparison of spatial distribution and temporal profiles of said groups of connectivity networks obtained in said grouping with groups of connectivity networks obtained from substitution data.

A non-transitory computer-readable medium comprising instructions stored thereon for performing a method of determining a sequence of activation of a set of brain networks, in the course of a predetermined cognitive task, when the instructions are executed by a data processor, wherein the method comprises:

• obtaining at least one time series of data on encephalographic activities, according to a predetermined sampling value, said data on activities representing a signal captured on the cranial surface by a capture device, during the execution of said predetermined cognitive task by at least one individual, the obtaining delivering a set comprising at least one measurements vector per sample of the time series;
• for each measurements vector, determining a connectivity between cortical sources, said cortical sources being obtained through measurements of a measurements vector, delivering a connectivity network;
• and
• grouping connectivity networks according to a resemblance parameter delivering a set of groups of grouped connectivity networks, each representing an activity of a given brain network at a given instant, wherein grouping comprises a statistic validation of said groups of connectivity networks obtained from substitution data, comprising a comparison of spatial distribution and temporal profiles of said groups of connectivity networks obtained in said grouping with groups of connectivity networks obtained from substitution data.