Metacognitive accuracy differences in Parkinson's disease and REM sleep behavioral disorder relative to healthy controls

Front Neurol. 2024 May 27:15:1399313. doi: 10.3389/fneur.2024.1399313. eCollection 2024.

Abstract

Background: Metacognition is the ability to monitor and self-assess cognitive performance. It can be impaired in neurodegenerative diseases, with implications for daily function, and the ability of patients to reliably report their symptoms to health professionals. However, metacognition has not been systematically assessed in early-mid stage Parkinson's disease (PD) and REM sleep behavioral disorder (RBD), a prodrome of PD.

Objectives: This study aimed to evaluate metacognitive accuracy and self-confidence in PD and RBD patients across various cognitive tasks.

Methods: We conducted detailed computerized cognitive assessments with 19 cognitive tasks within an established PD and RBD cohort. Participants self-rated their performance post-task. Metacognitive accuracy was calculated by comparing these ratings against objective performance and further analyzed against clinical and mental health factors.

Results: PD and RBD patients' metacognitive accuracy aligned with control subjects. However, they exhibited lower confidence across cognitive domains, reflecting their reduced cognitive performance. A notable inverse correlation was observed between their confidence and MDS-UPDRS I and II scales and HADS anxiety and depression scores.

Conclusion: Our findings indicate that patients with early to mid-stage PD and RBD are generally aware of their cognitive status, differing from other neurological disorders. The inverse relationship between patient confidence and symptoms of depression, anxiety, and daily life challenges underscores the impact of emotional and functional difficulties on their self-perception of cognitive abilities. This insight could be significant for understanding how these conditions affect mental health, aiding clinicians in developing more effective patient care strategies.

Keywords: Parkinson’s disease; REM sleep behavioral disorder; metacognition; metacognitive accuracy; online cognitive assessments.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. MB was supported by the Medical Research Council Doctorate Training Programme at Imperial College London. The OPDC Discovery Cohort is supported by Parkinson’s UK and the Oxford Biomedical Research Centre, Oxford. JR was funded by the Oxford Parkinson’s Disease Centre. PM received support from NIHR Biomedical Research Centre at Imperial College London.