  Over the years motor deficit in Parkinson's Disease (PD) patients was largely
studied, however, no consistent pattern of relations between quantitative
electroencephalography (qEEG) and motor scales emerged. There is a general lack
of information on the relation between EEG changes and scales related to
specific motor deficits. Therefore, the study aimed to investigate the relation
between brain oscillatory activity alterations (EEG power bands) and most used
PD-related motor deficit scales. A positive correlation was found between the
freezing of the gait questionnaire (FOGQ) and delta spectral power band
(rho=0.67; p=0.008), while a negative correlation with the same scale was
observed in the alpha spectral power band (rho=-0.59, p=0.027). Additionally,
motor scores measure by motor part of Unified Parkinson's Disease Rating Scale
(UPDRS) correlated directly with theta (rho=0.55, p=0.040) and inversely with
beta EEG power band (rho=-0.77, p=0.001). No significant correlation was found
between spectral powers and Hoehn and Yahr (H&Y), BERG (Berg K. et. al. 1995),
Modified Parkinson Activity Scale (MPAS), Six-Minute Walk Test (6MWT) and Timed
Up and Go Test (TUG). In conclusion, our study supports the earlier findings
suggesting a link between EEG slowing and motor decline, providing more insight
into the relation between EEG alteration and deficits in different motor
domains. These findings indicate that EEG assessment may be a useful biomarker
for objective monitoring of progression and neurophysiological effect of
rehabilitation approaches in PD's.
