Electroencephalography-based models to assess the severity of cognitive impairment in Parkinson’s disease

Takeaway 

  • Using machine-learning algorithms, electroencephalography (EEG) data were used to develop accurate models to classify the degree of cognitive impairment in Parkinson’s disease (PD) patients.

Why this matters

    In addition to motor symptoms, many PD patients also have mild cognitive impairment, which can progress to dementia. An EEG-based model to measure degree of cognitive impairment in PD patients may identify those at risk for cognitive decline and allow for early intervention.