Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Observational Study
. 2019 May 3;2(5):e193359.
doi: 10.1001/jamanetworkopen.2019.3359.

Association of Brain Magnetic Resonance Imaging Signs With Cognitive Outcomes in Persons With Nonimpaired Cognition and Mild Cognitive Impairment

Affiliations
Observational Study

Association of Brain Magnetic Resonance Imaging Signs With Cognitive Outcomes in Persons With Nonimpaired Cognition and Mild Cognitive Impairment

Aozhou Wu et al. JAMA Netw Open. .

Abstract

Importance: Brain atrophy and vascular lesions contribute to dementia and mild cognitive impairment (MCI) in clinical referral populations. Prospective evidence in older general populations is limited.

Objective: To evaluate which magnetic resonance imaging (MRI) signs are independent risk factors for dementia and MCI.

Design, setting, and participants: This population-based cohort study included 1553 participants sampled from the Atherosclerosis Risk in Communities Study who had brain MRI scans and were dementia free during visit 5 (June 2011 to September 2013). Participants' cognitive status was evaluated through visit 6 (June 2016 to December 2017).

Exposures: Brain regional volumes, microhemorrhages, white matter hyperintensity (WMH) volumes, and infarcts measured on 3-T MRI.

Main outcomes and measures: Cognitive status (dementia, MCI, or nonimpaired cognition) was determined from in-person evaluations. Dementia among participants who missed visit 6 was identified via dementia surveillance and hospital discharge or death certificate codes. Cox proportional hazards models were used to evaluate the risk of dementia in 3 populations: dementia-free participants (N = 1553), participants with nonimpaired cognition (n = 1014), and participants with MCI (n = 539). Complementary log-log models were used for risk of MCI among participants with nonimpaired cognition who also attended visit 6 (n = 767). Models were adjusted for demographic variables, apolipoprotein E ε4 alleles, vascular risk factors, depressive symptoms, and heart failure.

Results: Overall, 212 incident dementia cases were identified among 1553 participants (mean [SD] age at visit 5, 76 [5.2] years; 946 [60.9%] women; 436 [28.1%] African American) with a median (interquartile range) follow-up period of 4.9 (4.3-5.2) years. Significant risk factors of dementia included lower volumes in the Alzheimer disease (AD) signature region, including hippocampus, entorhinal cortex, and surrounding structures (hazard ratio [HR] per 1-SD decrease, 2.40; 95% CI, 1.89-3.04), lobar microhemorrhages (HR, 1.90; 95% CI, 1.30-2.77), higher volumes of WMH (HR per 1-SD increase, 1.44; 95% CI, 1.23-1.69), and lacunar infarcts (HR, 1.66; 95% CI, 1.20-2.31). The AD signature region volume was also consistently associated with both MCI and progression from MCI to dementia, while subcortical microhemorrhages and infarcts contributed less to the progression from MCI to dementia.

Conclusions and relevance: In this study, lower AD signature region volumes, brain microhemorrhages, higher WMH volumes, and infarcts were risk factors associated with dementia in older community-based residents. Vascular changes were more important in the development of MCI than in its progression to dementia, while AD-related signs were important in both stages.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Disclosures: Dr Gottesman reported that she is associate editor of Neurology. Dr Mosley reported grants from the National Institutes of Health during the conduct of the study. Dr Jack reported receiving research support from the National Institutes of Health and the Alexander Family Alzheimer’s Disease Research Professorship of the Mayo Clinic; serving as a consultant for Eli Lily and Co; and serving on an independent data monitoring board for Roche but does not receive any personal compensation from any commercial entity. Dr Knopman reported serving on a data safety monitoring board for the Dominantly Inherited Alzheimer Network study; serving as an investigator in clinical trials sponsored by Biogen, Lilly Pharmaceuticals, and the University of Southern California; and receiving research support from the National Institutes of Health. Dr Windham reported receiving research support from the National Institutes of Health. No other disclosures were reported.

Figures

Figure.
Figure.. Dementia Risk by Number of Different Types of Magnetic Resonance Imaging (MRI) Signs
Hazard ratios and 95% CIs of incident dementia in the dementia-free population were plotted. Model adjusted for age, sex, race, education, apolipoprotein E ε4 allele, smoking, body mass index, hypertension, diabetes, cholesterol, and heart failure. The MRI signs of interest were 3 Alzheimer disease (AD)–related signs: (1) low hippocampus volume, (2) low nonhippocampal AD signature region volume (1 and 2 defined as a value lower than the lowest quartile), and (3) having lobar microhemorrhages; and 4 vascular signs: (1) high white matter hyperintensity volume (defined as a value higher than the median), (2) having subcortical microhemorrhages, (3) having cortical infarcts, and (4) having lacunar infarcts. The number of different MRI signs was modeled as a categorical variable. The categories of no lesions, no AD signs, and no vascular signs were considered reference categories.

References

    1. Galton CJ, Patterson K, Graham K, et al. . Differing patterns of temporal atrophy in Alzheimer’s disease and semantic dementia. Neurology. 2001;57(2):-. doi:10.1212/WNL.57.2.216 - DOI - PubMed
    1. Reitz C, Mayeux R. Alzheimer disease: epidemiology, diagnostic criteria, risk factors and biomarkers. Biochem Pharmacol. 2014;88(4):640-651. doi:10.1016/j.bcp.2013.12.024 - DOI - PMC - PubMed
    1. Schwarz CG, Gunter JL, Wiste HJ, et al. ; Alzheimer’s Disease Neuroimaging Initiative . A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer’s disease severity. Neuroimage Clin. 2016;11:802-812. doi:10.1016/j.nicl.2016.05.017 - DOI - PMC - PubMed
    1. Jack CR Jr, Shiung MM, Weigand SD, et al. . Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI. Neurology. 2005;65(8):1227-1231. doi:10.1212/01.wnl.0000180958.22678.91 - DOI - PMC - PubMed
    1. Sluimer JD, van der Flier WM, Karas GB, et al. . Whole-brain atrophy rate and cognitive decline: longitudinal MR study of memory clinic patients. Radiology. 2008;248(2):590-598. doi:10.1148/radiol.2482070938 - DOI - PubMed

Publication types