Cognitive correlates of visual and minor hallucinations in Parkinson's disease

Lenka, A and Hegde, S and Arumugham, SS and Singh, P and Yadav, R and Pal, PK (2021) Cognitive correlates of visual and minor hallucinations in Parkinson's disease. In: Canadian Journal of Neurological Sciences .

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Abstract

Introduction: Psychosis is one of the incapacitating non-motor symptoms of Parkinson's disease (PD). Although several risk factors that include older age, rapid eye movement sleep (REM) behavior disorder (RBD). depression, and cognitive dysfunction have been identified, the exact neural correlates remain elusive. As cognitive impairment has a close association with psychosis in PD, it is useful to know the spectrum of cognitive impairment in PD patients with psychosis. Methods: This cross-sectional study compared various cognitive parameters of PD patients with psychosis (visual minor hallucinations) (PD-P) and with 110 psychosis (PD-NP). A neuropsychological battery encapsulating several cognitive domains (executive, visuospatial learning, and memory) was used for the cognitive assessment of 37 PD- P and 51 PD-NP patients who were matched for age, gender, education, and disease duration. Results: The two groups were comparable 111 terms of disease severity and stage. Although the groups had a comparable mean score 011 Montreal cognitive assessment (MoCA), the PD-P group performed poorly in tests focused 011 executive function (color trail test, forward digit span), verbal learning and memory (Rev auditoiy and verbal learning test), and visuo-spatial functions (complex figure test, corsi block tapping test). Those with complex visual hallucinations performed poorly in the color trial test (pait A) compared to those with minor hallucinations. Conclusion: Psychosis is associated with a multi-domain cognitive dysfunction in PD. All PD patients should undergo detailed cognitive assessment as cognitive dysfunction may be a marker of psychosis in the future. Additional longitudinal studies are warranted to obtain detailed insights into this issue. © 2021 Cambridge University Press. All rights reserved.

Item Type:	Journal Article
Publication:	Canadian Journal of Neurological Sciences
Publisher:	Cambridge University Press
Additional Information:	The copyright for this article belongs to Cambridge University Press.
Department/Centre:	Division of Mechanical Sciences > Centre for Sustainable Technologies (formerly ASTRA)
Date Deposited:	07 Jan 2022 07:00
Last Modified:	07 Jan 2022 07:00
URI:	http://eprints.iisc.ac.in/id/eprint/70903

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