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Updated: Mar 1, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Diagnosing mild cognitive impairment in Parkinson's disease: which tests perform best in the Italian population?
Angela Federico1, Michela Trentin2, Giampietro Zanette2
1Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Scuro 10, 37134, Verona, Italy.
Abstract:
Mild cognitive impairment (MCI) is common in patients with Parkinson's disease (PD) and should be recognized early because it represents a predictor of PD-related dementia and worse disease course. Diagnostic criteria for PD-related MCI (PD-MCI) have recently been defined by a Movement Disorders Society (MDS) task force. The present study explored which neuropsychological tests perform best for a level II (i.e., comprehensive neuropsychological assessment) diagnosis of PD-MCI according to the MDS task force criteria in Italian-speaking PD patients. To this aim, we assessed a comprehensive 23-item neuropsychological battery, derived the best-performing 10-test battery (i.e., two tests per domain for each of the five cognitive domains), and explored its accuracy for diagnosing PD-MCI in comparison to the full battery in a group of PD patients. A secondary aim was to explore the role of this battery for subtyping PD-MCI according to single-domain vs. multiple-domain involvement. The 10-test battery showed 73% sensitivity and 100% specificity for diagnosing PD-MCI, and 69% sensitivity and 100% specificity for PD-MCI subtyping. In patients older than 70 years, we derived a slightly different 10-test battery with 84% sensitivity and 100% specificity for PD-MCI diagnosis, and 86% sensitivity and 100% specificity for PD-MCI subtyping. These 10-item neuropsychological batteries might represent a good trade-off between diagnostic accuracy and time of application, and their role in PD-MCI diagnosis and subtyping should be further explored in future prospective studies.
Insights
A brief 10-test neuropsychological battery accurately diagnoses mild cognitive impairment in Parkinson's disease (PD-MCI). This tool aids in early detection and subtyping of cognitive deficits in PD patients, improving disease management.
Area of Science:
- Neurology
- Neuropsychology
- Movement Disorders
Background:
- Mild cognitive impairment (MCI) is prevalent in Parkinson's disease (PD) and predicts dementia.
- Early diagnosis of PD-related MCI (PD-MCI) is crucial for disease course management.
- Movement Disorders Society (MDS) task force recently established diagnostic criteria for PD-MCI.
Purpose of the Study:
- To identify the optimal neuropsychological tests for diagnosing PD-MCI based on MDS criteria in Italian-speaking PD patients.
- To evaluate the diagnostic accuracy of a shortened 10-test battery compared to a comprehensive 23-test battery.
- To explore the utility of the 10-test battery for subtyping PD-MCI based on cognitive domain involvement.
Main Methods:
- A comprehensive 23-item neuropsychological battery was administered to PD patients.
- A subset of 10 tests, two per cognitive domain, was selected based on performance.
- Diagnostic accuracy and subtyping capabilities of the 10-test battery were compared to the full battery.
Main Results:
- The 10-test battery achieved 73% sensitivity and 100% specificity for PD-MCI diagnosis.
- For PD-MCI subtyping, the battery showed 69% sensitivity and 100% specificity.
- A modified 10-test battery for patients over 70 years demonstrated 84% sensitivity and 100% specificity for diagnosis.
Conclusions:
- A 10-test neuropsychological battery offers a practical balance between diagnostic accuracy and application time for PD-MCI.
- This shortened battery shows promise for efficient PD-MCI diagnosis and subtyping.
- Further prospective studies are recommended to validate the role of these batteries in clinical practice.
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