Future studies are needed to replicate these associations in a prospective fashion and to understand the pathophysiological mechanisms that link accelerated brain aging to all-cause mortality. Participants of DHS-2 in high Δ brain age group had 2.3 (95% CI: 1.2, 4.5) and 2.6 (95% CI: 1.6, 4.2) times higher likelihood of all-cause mortality than those in low or medium Δ brain age group, respectively even after controlling for Framingham 10-year risk score (based on age, sex, systolic blood pressure, total cholesterol, HDL cholesterol, and smoking), race, ethnicity, income, education, waist to hip ratio, presence of diabetes, presence of hypertension, and history of myocardial infarction.Ĭonclusions: Accelerated brain aging was associated with higher likelihood of all-cause mortality. Among diabetics, higher glycated hemoglobin (HbA1c) levels were associated with higher Δ brain age ( r = 0.27, p < 0.0001). Results: Features associated with higher Δ brain age included presence of diabetes (estimate = 1.42 years, 95% CI: 0.49 years, 2.35 years), amount of alcohol consumed ( r = 0.10, p < 0.0001), and waist-to-hip ratio ( r = 0.09, p < 0.0001). Cox proportional hazards regression were used to account for other features that may be associated with all-cause mortality. Kaplan Meier survival curves were used to estimate the association between Δ brain age groups and all-cause mortality.

Participants were grouped as low [mean+1SD) Δ brain age. Mortality data until December 2016 was collected from the National Death Index. Accelerated brain aging (Δ brain age) was computed as follows: (brain age) minus (chronological age). Methods: Brain age ( n = 1949) was estimated using T1-weighted structural MRI scans from DHS-2 (obtained between September 2007 and December 2009) and a previously-published Gaussian Processes Regression model ( ). Therefore, in this report, we used data from the second wave of Dallas Heart Study (DHS-2) to evaluate the association between neuroimaging-predicted brain age and all-cause mortality. Similarly, the Sleep Heart Health Study found that higher sleep electroencephalogram (EEG)-predicted brain age as compared to chronological age was associated with reduced life expectancy. A recent report from the Lothian Birth Cohort found that higher structural magnetic resonance imaging (MRI)-predicted brain age as compared to chronological age was associated with higher likelihood of all-cause mortality. Abu Minhajuddin*, Manish Jha, Cherise Chin Fatt, Taryn Mayes, Jarett Berry, Madhukar Trivedi The University of Texas Southwestern Medical Center, Allen, Texas, United Statesīackground: Accelerated brain aging has been linked to increased mortality.

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