A regression model estimating brain-age from about 250 T1-weighted imaging features was developed using data from 29 healthy controls (mean age 39.8). The model estimated brain age with average absolute error of 6.0 years. The model was applied 35 patients (mean age 38.7) diagnosed with major depressive disorder (MDD), yielding similar performance (7.6 years mean absolute error), but showed trend of over-estimation of average brain-age by 2.4 years. This technique demonstrates the feasibility of brain-age estimation using imaging features, and may help assess the differential effects of pathology like MDD in the aging process.
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