Back to search

Article

Deep learning based brain age prediction uncovers associated sequence variants

2019-04-04

Abstract excerpt

Machine learning algorithms trained to recognize age-related structural changes in magnetic resonance images (MRIs) of healthy individuals can be used to predict biological brain age in independent samples. The difference between predicted and chronological age, predicted age difference (PAD), is a phenotype holding promise for the study of normal brain ageing and brain diseases, and genetic discovery via genome-...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
565d2221-d598-5cf6-99e2-60d3b4fe7153
DOI
10.1101/595801
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning based brain age prediction uncovers associated sequence variantsDOI 10.1101/595801
Select a neighboring publication to make it the new centre.