Machine learning can predict mild cognitive impairment in Parkinson's disease.

ABSTRACT:

Background

Clinical markers of cognitive decline in Parkinson's disease (PD) encompass several mental non-motor symptoms such as hallucinations, apathy, anxiety, and depression. Furthermore, freezing of gait (FOG) and specific gait alterations have been associated with cognitive dysfunction in PD. Finally, although low cerebrospinal fluid levels of amyloid-β42 have been found to predict cognitive decline in PD, hitherto PET imaging of amyloid-β (Aβ) failed to consistently demonstrate the association between Aβ plaques deposition and mild cognitive impairment in PD (PD-MCI).

Aim

Finding significant features associated with PD-MCI through a machine learning approach.

Patients and methods

Patients were assessed with an extensive clinical and neuropsychological examinatio

SUBMITTER: Amboni M 

PROVIDER: S-EPMC9714435 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature