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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Predicting Early Mild Cognitive Impairment With Free Recall: The Primacy of Primacy
Deborah Talamonti1, Rebecca Koscik2, Sterling Johnson2,3
1School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool, UK.
Objectives:
Serial position effects have been found to discriminate between normal and pathological aging, and to predict conversion from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD). Different scoring methods have been used to estimate the accuracy of these predictions. In the current study, we investigated delayed primacy as predictor of progression to early MCI over established diagnostic memory methods. We also compared three serial position methods (regional, standard and delayed scores) to determine which measure is the most sensitive in differentiating between individuals who develop early MCI from a baseline of cognitively intact older adults.
Method:
Data were analyzed with binary logistic regression and with receiver-operating characteristic (ROC). Baseline serial position scores were collected using the Rey's Auditory Verbal Learning Test and used to predict conversion to early MCI. The diagnosis of early MCI was obtained through statistical algorithm and consequent consensus conference. One hundred and ninety-one participants were included in the analyses. All participants were aged 60 or above and cognitively intact at baseline.
Results:
The binary logistic regression showed that delayed primacy was the only predictor of conversion to early MCI, when compared to total and delayed recall. ROC curves showed that delayed primacy was still the most sensitive predictor of progression to early MCI when compared to other serial position measures.
Conclusions:
These findings are consistent with previous studies and support the hypothesis that delayed primacy may be a useful cognitive marker of early detection of neurodegeneration.
Insights
Delayed primacy, a memory test, effectively predicts the progression to early Mild Cognitive Impairment (MCI) in older adults. This cognitive marker shows promise for early neurodegeneration detection.
Area of Science:
- Neuroscience
- Gerontology
- Cognitive Psychology
Background:
- Serial position effects are known to differentiate normal aging from pathological aging and predict Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD) conversion.
- Various scoring methods exist for predicting cognitive decline, necessitating a comparison of their sensitivity.
Purpose of the Study:
- To investigate delayed primacy as a predictor of progression to early MCI.
- To compare the sensitivity of three serial position methods (regional, standard, delayed) in differentiating individuals who develop early MCI.
Main Methods:
- Binary logistic regression and receiver-operating characteristic (ROC) analyses were employed.
- Rey's Auditory Verbal Learning Test serial position scores were used to predict conversion to early MCI.
- 191 cognitively intact participants aged 60+ at baseline were analyzed.
Main Results:
- Delayed primacy emerged as the sole significant predictor of conversion to early MCI, outperforming total and delayed recall.
- ROC curve analysis confirmed delayed primacy as the most sensitive predictor of early MCI progression compared to other serial position measures.
Conclusions:
- Delayed primacy demonstrates utility as a cognitive marker for the early detection of neurodegeneration.
- Findings support the use of delayed primacy in identifying individuals at risk for developing early MCI.
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