A topological graph kernel for gender classification of functional brain networks
Author(s)
Ktena, SI
Rueckert, D
Type
Conference Paper
Abstract
Network science encompasses the study of the human brain and can lead to fundamental insights into the organization of the healthy and diseased brain, while incorporating knowledge of elementary system components as well as the interactions between them and their emerging properties. In this study, we propose a different way of analysing functional brain networks based on functional MRI data of 100 subjects from the Human Connectome Project (http://www.humanconnectome.org) and attempt to identify the differences between the two genders, since sex has demonstrated a substantial influence on many areas of brain and behavior.
Date Issued
2016-06-30
Date Acceptance
2016-02-25
Citation
2016
Copyright Statement
© 2016 The Authors
Identifier
https://ww5.aievolution.com/hbm1601/index.cfm?do=abs.viewAbs&abs=1708
Source
22nd Annual Meeting of the Organization for Human Brain Mapping
Publication Status
Published
Start Date
2016-06-26
Finish Date
2016-06-30
Coverage Spatial
Geneva, Switzerland