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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: a systematic review
Elena Mariani1, Roberto Monastero, Patrizia Mecocci
1Section of Gerontology and Geriatrics, Department of Clinical and Experimental Medicine, University of Perugia, Perugia, Italy.
Abstract:
MCI is a nosological entity proposed as an intermediate state between normal aging and dementia. The syndrome can be divided into two broad subtypes: amnestic MCI (aMCI) characterized by reduced memory, and non-amnestic MCI (naMCI) in which other cognitive functions rather than memory are mostly impaired. aMCI seems to represent an early stage of AD, while the outcomes of the naMCI subtypes appear more heterogeneous--including vascular dementia, frontotemporal dementia or dementia with Lewy bodies--but this aspect is still under debate. MCI in fact represents a condition with multiple sources of heterogeneity, including clinical presentation, etiology, and prognosis. To improve classification and prognosis, there is a need for more sensitive instruments specifically developed for MCI as well as for more reliable methods to determine its progression or improvement. Current clinical criteria for MCI should be updated to include restriction in complex ADL; also the diagnostic and prognostic role of behavioral symptoms and motor dysfunctions should be better defined. A multidisciplinary diagnostic approach including biological and neuroimaging techniques may probably represent the best option to predict the conversion from MCI to dementia. In this review we discuss the most recent aspects related to the epidemiological, clinical, neuropathological, neuroimaging, biochemical and therapeutic aspects of MCI, with specific attention to possible markers of conversion to dementia.
Insights
Mild cognitive impairment (MCI) bridges normal aging and dementia. Early detection and accurate prognosis require updated criteria and multidisciplinary approaches for better patient outcomes.
Area of Science:
- Neurology
- Gerontology
- Cognitive Science
Background:
- Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia.
- MCI presents heterogeneous subtypes, including amnestic (aMCI) and non-amnestic (naMCI), with varying prognoses.
- Current diagnostic and prognostic tools for MCI require enhancement.
Purpose of the Study:
- To review recent advancements in understanding MCI.
- To highlight the need for improved classification and prognosis of MCI.
- To discuss markers for predicting conversion from MCI to dementia.
Main Methods:
- Comprehensive literature review of epidemiological, clinical, neuropathological, neuroimaging, and biochemical aspects of MCI.
- Analysis of current diagnostic criteria and their limitations.
- Discussion of multidisciplinary diagnostic approaches.
Main Results:
- MCI subtypes exhibit diverse etiologies and clinical presentations.
- Heterogeneity in MCI necessitates more sensitive diagnostic instruments and reliable progression monitoring.
- Behavioral symptoms and motor dysfunctions require better definition in MCI diagnosis and prognosis.
Conclusions:
- Updated clinical criteria for MCI, including complex activities of daily living (ADL) restrictions, are needed.
- A multidisciplinary approach incorporating biological and neuroimaging techniques is crucial for predicting MCI to dementia conversion.
- Further research into MCI markers is essential for timely intervention and management.
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