Multiple Pathways Analysis of Brain Functional Networks from EEG Signals: An Application to Real Data

摘要: In the present study, we propose a theoretical graph procedure to investigate multiple pathways in brain functional networks. By taking into account all possible paths consisting of h links between nodes pairs network, measured global network redundancy R h as number parallel and permeability P probability get connected. We used this structural dynamical changes cortical networks estimated from dataset high-resolution EEG signals group spinal cord injured (SCI) patients during attempt foot movement. light statistical contrast with healthy population, index SCI increased significantly (P < 0.01) Theta frequency band (3–6 Hz) for distances ranging 2 4. On contrary, no significant differences were found two populations . The most occurred mainly lower spectral contents. These related an improved propagation communication closest areas rather than different level redundancy. This evidence strengthens hypothesis need higher interaction among ROIs mechanism compensate lack feedback peripheral nerves sensomotor areas.