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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

Mild cognitive impairment: what's in a name?

E Dierckx1, S Engelborghs, R De Raedt

  • 1Developmental and Lifespan Psychology, Vrije Universiteit Brussel, Brussels, Belgium. eva.dierckx@vub.ac.be

Gerontology
|September 22, 2006
PubMed
Abstract

Insights

Mild cognitive impairment (MCI) is a heterogeneous syndrome. This review suggests incorporating neuropsychological tests and depressive symptoms into diagnostic criteria to improve MCI identification in the elderly.

Area of Science:

  • Neuropsychology
  • Geriatric Medicine
  • Cognitive Science

Background:

  • Mild cognitive impairment (MCI) bridges normal aging and dementia but lacks standardized criteria.
  • Current diagnostic approaches, like Petersen's criteria, are widely used but require refinement.
  • The interplay between MCI and depression in older adults remains under-explored.

Purpose of the Study:

  • To address concerns regarding the conceptualization of MCI.
  • To propose guidelines for neuropsychological assessment of MCI.
  • To examine the relationship between elderly depression and MCI.

Main Methods:

  • Review of existing literature and diagnostic criteria for MCI.
  • Hypothesizing the utility of specific neuropsychological instruments.
  • Suggesting modifications to diagnostic flowcharts.

Main Results:

  • Certain neuropsychological tests can operationalize Petersen's MCI criteria.
  • Cued recall memory tests may distinguish progressive from non-progressive MCI.
  • Elderly depression with cognitive deficits aligns with MCI characteristics.

Conclusions:

  • Integrating specific neuropsychological instruments enhances MCI diagnosis.
  • Including depressive symptoms in diagnostic criteria improves MCI identification.
  • Proposed adjustments offer practical tools for clinicians diagnosing MCI.

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