“Electroencephalography connectomics of Parkinson’s disease”
Most neurological disorders, including Alzheimer’s and Parkinson’s Diseases (AD/PD) ultimately result from brain network disruption (Fornito, Zalesky, and Breakspear 2015; Stam 2014). Thus, the identification of these pathological networks from neuroimaging data has become a very promising prospect in brain diseases research. PD is the second cause of dementia and cognitive deficits are very common in PD in early stages. However, these cognitive deficits are very heterogeneous in their clinical presentation and progression (Markello et al. 2021).
Therefore, decoding pathological networks of newly diagnosed PD patients for several cognitive domains would be precious clinically to 1) Follow-up and predict the evolution of PD to dementia; 2) Stratify PD patients for clinical trials using brainbased markers; 3) Guide patients in the therapeutic options available according to
their risk factors; 4) Advance the development of domain-specific network-guided therapeutic technologies (such as neurostimulation). I will share some thoughts about
the importance of the High-density Electroencephalography (HD-EEG) to deciphering
functional dysconnectivity in PD patients and how HD-EEG may be an early biomarker
of PD motor and non-motor progression (Hassan et al. 2017) (Duprez et al. 2021).