Related Experiment Video
Updated: Jul 6, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Montreal cognitive assessment as a screening tool for cognitive impairment in Parkinson's disease
David J Gill1, Arielle Freshman1, Jennifer A Blender2
1Department of Neurology, University of Rochester, Rochester, NY.
Abstract:
Cognitive impairment is common in Parkinson's disease (PD) and can occur early in the disease course. No effective screening test exists for detection of early or mild cognitive impairment in PD. We examined the Montreal Cognitive Assessment (MoCA) as a screening tool for cognitive dysfunction in PD. The test-retest intraclass correlation coefficient was 0.79 and the interrater intraclass correlation coefficient was 0.81. The correlation coefficient between the MoCA and a neuropsychologic battery was 0.72. The MoCA is reliable and valid in the PD population and warrants further study as a screening tool for cognitive dysfunction.
Insights
The Montreal Cognitive Assessment (MoCA) shows promise as a reliable and valid screening tool for detecting cognitive impairment in Parkinson
Area of Science:
- Neurology
- Neuropsychology
- Gerontology
Background:
- Cognitive impairment is a frequent and early symptom in Parkinson's disease (PD).
- Current screening methods for mild cognitive impairment in PD are insufficient.
- Early detection of cognitive changes is crucial for managing PD progression.
Purpose of the Study:
- To evaluate the Montreal Cognitive Assessment (MoCA) as a screening tool for cognitive dysfunction in Parkinson's disease.
- To determine the reliability and validity of the MoCA in a PD population.
Main Methods:
- Assessed test-retest and interrater reliability of the MoCA.
- Correlated MoCA scores with a comprehensive neuropsychological test battery.
- Utilized intraclass correlation coefficients (ICCs) to measure reliability.
Main Results:
- The MoCA demonstrated good test-retest reliability (ICC = 0.79).
- High interrater reliability was observed (ICC = 0.81).
- A strong correlation was found between MoCA scores and a neuropsychological battery (r = 0.72).
Conclusions:
- The Montreal Cognitive Assessment (MoCA) is a reliable and valid tool for screening cognitive dysfunction in Parkinson's disease.
- The MoCA warrants further investigation as a practical screening instrument for early cognitive changes in PD.
- This study supports the use of MoCA for identifying cognitive impairment in PD patients.
More Related Videos
04:33Association Between Sleep Quality and Cognitive Symptoms in Patients with Major Depressive Disorder
Published on: April 26, 2024
07:26Characterizing the Relationship Between Eye Movement Parameters and Cognitive Functions in Non-demented Parkinson's Disease Patients with Eye Tracking
Published on: September 26, 2019
Related Concept Videos
Parkinson's Disease: Overview
Parkinson Disease l: Introduction
Parkinson's Disease: Treatment
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of its...
Dementia
The progression of dementia is generally gradual.
Alzheimer's Disease: Overview
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ and tau...