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Updated: Apr 3, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Selective Reminding and Free and Cued Selective Reminding in Mild Cognitive Impairment and Alzheimer Disease
Raquel Lemos1,2, Ana Afonso2, Cristina Martins3
1a Visual Neuroscience Laboratory, Institute of Biomedical Research in Light and Image, Faculty of Medicine , University of Coimbra , Coimbra , Portugal.
Abstract:
The Selective Reminding Test (SRT) and the Free and Cued Selective Reminding Test (FCSRT) are multitrial memory tests that use a common "selective reminding" paradigm that aims to facilitate learning by presenting only the missing words from the previous recall trial. While in the FCSRT semantic cues are provided to elicit recall, in the SRT, participants are merely reminded of the missing items by repeating them. These tests have been used to assess age-related memory changes and to predict dementia. The performance of healthy elders on these tests has been compared before, and results have shown that twice as many words were retrieved from long-term memory in the FCSRT compared with the SRT. In this study, we compared the tests' properties and their accuracy in discriminating amnestic mild cognitive impairment (aMCI; n = 20) from Alzheimer disease (AD; n = 18). Patients with AD performed significantly worse than patients with aMCI on both tests. The percentage of items recalled during the learning trials was significantly higher for the FCSRT in both groups, and a higher number of items were later retrieved, showing the benefit of category cueing. Our key finding was that the FCSRT showed higher accuracy in discriminating patients with aMCI from those with AD.
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