Posturography is a diagnostic technique employed to evaluate human balance and postural stability, mainly evaluating the center of pressure (CoP) variability during quiet stance. Nevertheless, posturography has some limitations since not directly capture the underlying neurological mechanisms that contribute to human balance and postural stability. The simultaneous acquisition of postural sway data and electroencephalographic (EEG) signals can offer a more comprehensive view of this multi-level mechanism at the base of postural control [1]. Hence, this study aims to investigate the interaction between brain organisation at the cortical level and the actual mechanism of postural stability by correlating global network graph theory (NGT) features derived from EEG signals with postural sway parameters, calculated from the stabilogram in the acceleration domain.
Methods
Ten healthy volunteers (5 males and 5 females) performed an eyes-closed postural sway task while standing on a stable surface for 30 seconds. Three postural sway parameters (jerk, path length, and range) were acquired by using a single inertial measurement unit placed on the lower back and computed using the Mobility Lab system (APDM, USA). EEG signals were simultaneously recorded using a 64-channel EEG cap (Brain Products, Germany) and then preprocessed to perform source reconstruction using...
