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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Mattis Dementia Rating Scale 2: screening for MCI and dementia

Evelyne Matteau1, Nicolas Dupré, Mélanie Langlois

  • 1École de psychologie, Université Laval and Centre de Recherche Université Laval Robert-Giffard, Quebec City, Quebec, Canada. evelyne.matteau.1@ulaval.ca

American Journal of Alzheimer'S Disease and Other Dementias
|June 24, 2011
PubMed

Insights

The Mattis Dementia Rating scale-Second Edition (MDRS-2) can identify patients with dementia and mild cognitive impairment (MCI). However, it cannot distinguish between amnestic MCI and Parkinson

Area of Science:

  • Neurology
  • Neuropsychology
  • Geriatrics

Background:

  • Early identification of individuals at high risk for dementia is crucial for timely intervention and management.
  • Distinguishing between different types of cognitive impairment, such as Alzheimer's disease (AD) and Parkinson's disease with dementia (PDD), is essential for appropriate treatment strategies.

Purpose of the Study:

  • To evaluate the utility of the Mattis Dementia Rating scale-Second Edition (MDRS-2) in detecting and differentiating various cognitive impairment conditions.
  • Specifically, to assess its effectiveness in distinguishing between amnestic mild cognitive impairment (A-MCI), Parkinson's disease with MCI (PD-MCI), PDD, and AD.

Main Methods:

  • A cohort of healthy controls (HC) and patients with A-MCI, PD-MCI, PDD, and AD were assessed using a comprehensive neuropsychological battery.
  • The Mattis Dementia Rating scale-Second Edition (MDRS-2) was administered to all participants.
  • Performance across different groups was compared using the MDRS-2 total score and its subscales.

Main Results:

  • The MDRS-2 total score successfully identified all patient groups compared to healthy controls.
  • Patients with dementia (PDD and AD) performed significantly worse than HC across all five MDRS-2 subscales.
  • While AD patients showed differences from PDD in conceptualization and memory, the MDRS-2 could not differentiate between A-MCI and PD-MCI.

Conclusions:

  • The MDRS-2 is a valuable tool for screening individuals with mild cognitive impairment (MCI) and dementia.
  • Its broad detection capabilities make it useful across various neurodegenerative conditions.
  • However, the MDRS-2 lacks the specificity required to differentiate between amnestic MCI and Parkinson's disease with MCI.

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