Cognitive/functional measures predict alzheimer's disease, dependent on hippocampal volume

Hossein Tabatabaei-Jafari, Marnie E. Shaw, Erin Walsh, Nicolas Cherbuin

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


Objectives: This study aimed to investigate the predictive value of cognitive/functional measures in combination with hippocampal volume (HCV) on the probability of conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD). Methods: The Rey Auditory Verbal Learning Test for immediate memory, Mini-Mental State Examination, a functional assessment for independent daily activities and Alzheimer's Disease Assessment Scale were used as cognitive/functional measures and HCV as neuroimaging measure. Logistic regression and Cox proportional hazard analyses were used to explore the measures' predictive values for AD conversion and time to conversion. Results: The probability of conversion from MCI to AD was associated with cognitive function, but this was moderated by HCV: Higher at lower HCV and lower at higher HCV. General cognitive/functional measures were less predictive than immediate memory in predicting time to conversion to AD at small HCVs. Conclusion: Effectiveness of cognitive measures and subtle functional abnormality in predicting conversion from MCI to AD is dependent on HCV, thus combined evaluation should be considered. A combination of HCV and immediate memory appear to perform best in predicting time to conversion.

Original languageEnglish
Pages (from-to)1393-1402
Number of pages10
JournalJournals of Gerontology - Series B Psychological Sciences and Social Sciences
Issue number7
Publication statusPublished - 21 Jan 2019
Externally publishedYes


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