Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging

Volume: 290, Pages: 1 - 4
Published: Aug 1, 2019
Abstract
Molecular biological findings indicate that affective disorders are associated with processes akin to accelerated aging of the brain. The use of the BrainAGE (brain age estimation gap) framework allows machine-learning based detection of a gap between age estimated from high-resolution MRI scans an chronological age, and thus an indicator of systems-level accelerated aging. We analysed 3T high-resolution structural MRI scans in 38 major...
Paper Details
Title
Machine-learning based brain age estimation in major depression showing no evidence of accelerated aging
Published Date
Aug 1, 2019
Volume
290
Pages
1 - 4
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