Introduction. Sensorimotor cortex is activated similarly during motor execution and motor imagery. The study of functional connectivity\r\nnetworks (FCNs) aims at successfully modeling the dynamics of information flow between cortical areas. Materials and\r\nMethods. Seven healthy subjects performed 4 motor tasks (real foot, imaginary foot, real hand, and imaginary hand movements),\r\nwhile electroencephalography was recorded over the sensorimotor cortex. Event-Related Desynchronization/Synchronization\r\n(ERD/ERS) of themu-rhythm was used to evaluateMI performance. Source detection and FCNs were studied with eConnectome.\r\nResults and Discussion. Four subjects produced similar ERD/ERS patterns between motor execution and imagery during both\r\nhand and foot tasks, 2 subjects only during hand tasks, and 1 subject only during foot tasks. All subjects showed the expected\r\nbrain activation in well-performed MI tasks, facilitating cortical source estimation. Preliminary functional connectivity analysis\r\nshows formation of networks on the sensorimotor cortex during motor imagery and execution. Conclusions. Cortex activation\r\nmaps depict sensorimotor cortex activation, while similar functional connectivity networks are formed in the sensorimotor cortex\r\nboth during actual and imaginary movements. eConnectome is demonstrated as an effective tool for the study of cortex activation\r\nand FCN. The implementation of FCN in motor imagery could induce promising advancements in Brain Computer Interfaces.
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