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Updated: May 4, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Risk of dementia after fluctuating mild cognitive impairment: when the yo-yoing stops
Alan B Zonderman1, Gregory A Dore
1From the Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Biomedical Research Center, Baltimore, MD.
Abstract:
Friends, family members, and medical caretakers notice that sometimes we have good days and sometimes we have bad days. If we are older, the bad days may involve making poor judgments, acting impulsively, forgetting information we just heard, or repeating ourselves in conversations. If these oscillations persist, then someone we know well may suggest consulting a physician because our bad days are interfering with our daily activities. Presented with variable symptoms on different occasions, physicians legitimately may diagnose us with mild cognitive impairment (MCI) on one occasion and then equally legitimately retract the diagnosis on another occasion. Many in the field have observed that patients and study participants may yo-yo between normal cognitive performance and MCI, but until now, the import of these diagnostic fluctuations was unclear.
Insights
Cognitive fluctuations between normal and mild cognitive impairment (MCI) are common. These diagnostic shifts highlight the dynamic nature of cognitive health in aging individuals.
Area of Science:
- Gerontology
- Neuroscience
- Cognitive Psychology
Background:
- Older adults often experience fluctuating cognitive abilities, impacting daily life.
- Variable symptoms can lead to inconsistent diagnoses of mild cognitive impairment (MCI).
- Previous research noted cognitive "yo-yoing" but lacked clarity on its significance.
Discussion:
- Diagnostic variability in MCI reflects the dynamic nature of cognitive function.
- Understanding these fluctuations is crucial for accurate assessment and intervention.
- The study addresses the clinical significance of cognitive performance variability.
Key Insights:
- Cognitive performance in aging can oscillate between normal and impaired states.
- Mild cognitive impairment (MCI) diagnosis may not always be stable over time.
- These fluctuations have significant implications for understanding cognitive aging.
Outlook:
- Further research is needed to understand the underlying mechanisms of cognitive fluctuations.
- Developing dynamic diagnostic criteria for cognitive impairment may be beneficial.
- This work paves the way for more personalized cognitive health assessments.
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