Brain Age Estimation Using UK Biobank Data: Methodologies and Outcomes



Ahmed Salih1, *
1 Dept. of Computer Science University of Verona, Italy

Abstract

Brain age estimation has received much attention from neurologists and researchers in recent years. It can be used to track cognition development and monitoring brain diseases progress throughout life span for both healthy and patient’s people. Different methods and data have been used to predict age of brain based on research objective. Supervised ma-chine learning methods are used to estimate brain age as a regression problem. UK Biobank is a large cohort prospective that gathered health related data about 500, 000 British aged between 40 and 69 since 2006. Many studies have used UK biobank data to estimate brain age. We discuss their methods, data used and the objective of these studies. We also highlight the differences among them despite the use of same data and for the same purpose.

Keywords: Brain age, UK Biobank, Regression, Model supervised learning, Life span, MRI.


Abstract Information


Identifiers and Pagination:

Year: 2020
Volume: 13
Publisher Item Identifier: EA-TONIJ-2020-5

Article History:

Electronic publication date: 7/10/2020
Collection year: 2020

© 2020 Ahmed Salih.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


* Address correspondence to this author at the Dept. of Computer Science, University of Verona, Italy; E-mail: ahmed_mahdi@outlook.com