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Updated: Jul 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
[Mild cognitive impairment]
Jacques Touchon1, Florence Portet
1Service de neurologie, CM2R du Languedoc-Roussillon, Inserm E 361, CHU, Montpellier Cedex 05. j-touchon@chu-montpellier.fr
Abstract:
The concept of mild cognitive impairment (MCI) was proposed by Petersen et al. (1997, 1999) as a nosologic entity referring to elderly persons with mild cognitive deficit and without dementia. MCI is widely used in studies as an intermediate stage between cognitive normalcy and dementia. MCI now appears, however, to be a heterogeneous clinical entity. The many sources of heterogeneity that have been pointed out include: heterogeneity in etiological factors (various types of degenerative lesions, vascular risk factors, psychiatric features, concomitant non-neurological diseases), in clinical symptoms, and in clinical course (with decline, stable, or reversible cognitive impairment). New clinical criteria have thus been proposed for use in research and in clinical practice: 1) cognitive complaint from the patient, family, or both, 2) report by the subject or reporter of a decline in cognitive or functional performance, relative to previous abilities, 3) cognitive disorders evidenced by clinical evaluation: impairment in memory or another cognitive domain, 4) cognitive impairment without any repercussions on daily life, even if the subject reports difficulties concerning complex daily activities, and 5) no dementia. Those new criteria, essentially clinical, may be better adapted to both clinical research and daily clinical practice. Biological and radiological markers will provide greater and more systematic support for diagnosis in the near future, particularly for early detection of Alzheimer's disease.
Insights
Mild cognitive impairment (MCI) is an intermediate stage between normal cognition and dementia. New clinical criteria aim to better diagnose this heterogeneous condition for research and practice.
Area of Science:
- Neurology
- Geriatrics
- Cognitive Science
Context:
- Mild cognitive impairment (MCI) is recognized as a transitional phase between normal aging and dementia.
- MCI is characterized by cognitive deficits but without significant functional impairment in daily life.
- Previous understanding of MCI has been limited by its heterogeneity in causes, symptoms, and progression.
Purpose:
- To introduce and discuss new clinical criteria for diagnosing mild cognitive impairment (MCI).
- To address the heterogeneity of MCI by proposing refined diagnostic guidelines.
- To improve the applicability of MCI diagnosis in both clinical research and practice.
Summary:
- New clinical criteria for MCI emphasize cognitive complaints, documented decline, objective cognitive deficits, preserved daily function, and absence of dementia.
- These criteria aim to standardize MCI diagnosis, acknowledging its diverse etiological factors (degenerative, vascular, psychiatric) and variable clinical course.
- The proposed criteria are primarily clinical, offering a more adaptable framework for assessment.
Impact:
- Facilitates more accurate and consistent diagnosis of MCI in clinical and research settings.
- Provides a foundation for earlier and more precise detection of neurodegenerative diseases, such as Alzheimer's disease.
- Highlights the future role of biological and radiological markers in enhancing MCI diagnosis and early disease detection.
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