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Updated: Jun 26, 2025

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

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Overlooked cases of mild cognitive impairment: Implications to early Alzheimer's disease

Maamoon Mian1, Jihane Tahiri2, Ryan Eldin3

  • 1Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.

Ageing Research Reviews
|May 14, 2024
PubMed

Insights

Mild cognitive impairment (MCI) and Alzheimer's disease (AD) impact the elderly. The Montreal Cognitive Assessment (MoCA) shows promise for early detection, outperforming the Mini-Mental State Examination (MMSE).

Area of Science:

  • Gerontology and Neurology
  • Cognitive Disorders Research

Background:

  • Mild cognitive impairment (MCI) represents an early stage of cognitive decline, distinct from healthy aging, impacting functions like memory, language, and spatial perception.
  • Alzheimer's disease (AD) and Alzheimer's disease-related dementias (ADRD) are progressive neurodegenerative conditions significantly affecting the elderly population.

Purpose of the Study:

  • To investigate the signs of MCI, early AD, and healthy brain aging.
  • To assess factors influencing cognitive disorder progression, pathology development, and susceptibility.
  • To compare diagnostic tools for early detection of cognitive impairment.

Main Methods:

  • A systematic literature review of over 100 articles was conducted.
  • Focus was placed on studies concerning MCI, AD, and ADRD in elderly populations.
  • Analysis included factors such as ethnicity, gender, lifestyle, comorbidities, and diagnostic efficacy.

Main Results:

  • Ethnicity influences MCI prevalence, with observed disparities among diverse populations.
  • Gender differences impact cognitive performance and decline rates.
  • Lifestyle factors and comorbidities significantly affect cognitive health.
  • The Montreal Cognitive Assessment (MoCA) demonstrates superior efficacy over the Mini-Mental State Examination (MMSE) for early MCI detection.

Conclusions:

  • Cognitive disorders are multifaceted, influenced by a complex interplay of demographic, lifestyle, and clinical factors.
  • Personalized management strategies are essential, considering ethnic and gender variations.
  • The MoCA is a more sensitive tool for identifying early-stage MCI, aiding timely intervention.
Keywords:
Cognitive disordersEarly detectionHealthy brain agingIntervention strategiesMild Cognitive Impairment (MCI)

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