Introduction: Parkinson’s disease (PD) is a multisystem
disease, involving several brain structures. fMRI studies reported
abnormal functional connectivity (FC) in PD. EEG is an accessible method
to evaluate cortical activity, which may be used to estimate FC. For
this aim, we analyzed differences in FC between patients at early stages
of PD and healthy controls (HC) using high-density EEG (HD-EEG).
Methods: We enrolled 20 early-stage PD patients and 19
age-matched HC. Data were recorded with a 64-channels HD-EEG system. A
source-reconstruction method was used to identify brain-region activity.
FC was calculated using a weighted phase-lag index in θ-α-β bands.
Network-based statistic was used to compare FC between PD and HC.
Results: No statistical-significant differences were observed
in spectral analysis between groups. PD patients showed a hypoconnected
network in α-band primarily composed by frontal lobe, associated with a
hyperconnected network in β band, including frontal, sensorimotor,
limbic and temporal areas. Moreover, correlation between β FC in
sensorimotor areas and PD motor impairment was found (r = 0.80, p =
0.003). Conclusion: HD-EEG revealed FC alterations since early
stages of PD, as a tool complementary to fMRI, and it could be a useful
early or even preclinical diagnostic marker of disease.