Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging.
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ABSTRACT:
SUBMITTER: Feng X
PROVIDER: S-EPMC7890463 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Publications
Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging.
Feng Xinyang X Lipton Zachary C ZC Yang Jie J Small Scott A SA Provenzano Frank A FA
Neurobiology of aging 20200306
Numerous studies have established that estimated brain age constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, we curate a large-scale brain MRI data set of healthy individuals, on which we train a uniform deep learning model for brain age estimation. We demonstrate an age estimation accuracy on a hold-out test set (mean absolute error = 4.06 years, r = 0.970) and an independent life span evaluation data set (mean absolute err ...[more]
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