Objective: 

Our research aimed at finding efficient methods of evaluating the role of cerebral plasticity in learning motor tasks

Methods: 

The subject group was made up of 31 sportsmen (handball, volleyball, fencing), average age 20 years (standard deviation 2.9). The electroencephalographic (EEG) modifications were tracked during activity: closing right fist (A), closing left fist (B), the command of closing right fist without actual movement (C), command of closing left fist without actual movement (D). Each activity was followed by a relaxation period (R). We concentrated our analysis on finding synthetic quantifiable indicators of the frequency specter. Spectral analysis of EEG tracks was made using EEG Mapping QP-220AK program, concentrating on: Peak frequency, Median frequency, Average frequency, Edge frequency (the frequency that, at a previously given value, establishes the left area/full spectrum area ratio).

Results: 

Statistical study of the analyzed synthetic indicators did not yield significant differences between activities of A, B, C, D for the entire group or for subgroups H, V, F but it did highlight the capacity of the EDGE index to differentiate between subgroups H, V, F (Student test offers significant p values in the cortical areas implicated in the activity of A, B, C, D).

Conclusions: 

In the case of the analyzed group the EDGE index proved to be the most effective indicator, offering the possibility of constructing models which will characterize specific training in certain types of activities.