Does the Montreal Cognitive Assessment (MoCA) identify cognitive impairment profiles in Parkinson’s disease? An exploratory study

Abstract

An important proportion of patients with Parkinson’s Disease (PD) present signs of cognitive impairment, although this is heterogeneous. In an attempt to classify this, the dual syndrome hypothesis distinguishes between two profiles: one defined by attentional and executive problems with damage in anterior cerebral regions, and another with mnesic and visuospatial alterations, with damage in posterior cerebral regions. The Montreal Cognitive Assessment (MoCA) is one of the recommended screening tools, and one of the most used, to assess cognitive impairment in PD. However, its ability to specifically identify these two profiles of cognitive impairment has not been studied. The aim of this study was, therefore, to analyze the capacity of the MoCA to detect cognitive impairment, and also to identify anterior and posterior profiles defined by the dual syndrome hypothesis. For this purpose, 59 patients with idiopathic PD were studied with the MoCA and a neuropsychological battery of tests covering all cognitive domains. Results of logistic regression analysis with ROC (Receiver Operating Characteristic) curves showed that MoCA detected cognitive impairment and identified patients with a profile of anterior/attentional and executive deficit, with acceptable sensibility and specificity. However, it did not identify patients with a posterior/mnesic-visuospatial impairment. We discuss the reasons for the lack of sensitivity of MoCA in this profile, and other possible implications of these results with regards the usefulness of this tool to assess cognitive impairment in PD.

Keywords:

• MoCA
• Parkinson’s disease
• cognitive impairment
• neuropsychological assessment

Acknowledgements

We thank the Parkinson’s Association of Alcorcon and other Municipalities (APARKAM, Alcorcon, Madrid, Spain).

Disclosure statement

There are no relevant financial or non-financial competing interests to report

Data availability statement

I confirm that the dataset has been published on Figshare repository: doi: 10.6084/m9.figshare.14424377.

Additional information

Funding

This work was supported by the Spanish Ministry for Science, Innovation and Universities under Grant PGC2018-095934-B-I00.