Understanding what happens in the brain during healthy ageing is important for several reasons ranging from its correlation to cognitive function to the research of neurodegenerative diseases and their biomarkers. In recent years, studies have linked certain biomarkers to both ageing and neurodegenerative diseases, but there is still more to be found and concluded. Inspired by current developments in machine learning, the use of artificial neural networks (ANN) as a method for extracting new informational biomarkers has been investigated. The brain consists of several functionally connected regions and can thus be modeled and analyzed using graph theory. ANNs and graph theory can be combined into graph neural networks, which when applied on human brain data have shown great promise. We aim to investigate the usage of GNNs on age-related data, in the search for biomarkers and other important features related to the ageing brain.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.