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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
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Assessing Longitudinal Cognitive Change in Mild Cognitive Impairment Using Estimated Standardized Regression-Based
Jasmin E Guevara1, Natalie E Kurniadi2, Kevin Duff3,4
1Department of Psychology, University of Utah, Salt Lake City, UT, USA.
Journal of Alzheimer'S Disease : JAD
|August 7, 2023
Summary
Mild cognitive impairment (MCI) shows significant cognitive decline over time, even in stable cases. Standardized regression-based (SRB) z-scores effectively quantify this decline, aiding in identifying individuals at higher risk for progression.
Area of Science:
- Neuroscience
- Gerontology
- Psychology
Background:
- Mild cognitive impairment (MCI) is a precursor to Alzheimer's disease.
- Quantifying cognitive change in MCI patients over time is crucial but underexplored.
- Standardized regression-based (SRB) formulas offer a method to statistically assess cognitive changes using z-scores.
Purpose of the Study:
- To quantify cognitive change in MCI patients using SRB z-scores.
- To compare cognitive decline between patients who remained MCI and those who progressed to dementia.
Main Methods:
- Utilized data from 283 MCI patients assessed at baseline and after approximately 1.5 years.
- Calculated SRB z-scores for each participant across a comprehensive neuropsychological battery.
- Compared cognitive changes between MCI-Stable and MCI-Decline groups.
Main Results:
- All cognitive tests showed significant decline over time, particularly in learning and memory.
- The MCI-Decline group exhibited significantly greater cognitive decline than the MCI-Stable group.
- Even MCI-Stable participants displayed notable cognitive decline, with z-scores indicating significant deviation from normative data.
Conclusions:
- MCI involves substantial cognitive decline, affecting both stable patients and those progressing to dementia.
- SRB z-scores provide a valuable tool for precise quantification of cognitive decline in MCI.
- This quantification may assist in identifying individuals most susceptible to MCI progression.
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