A novel individual-level morphological brain networks constructing method and its evaluation in PET and MR images.

ABSTRACT: Mapping the human brain is one of the great scientific challenges of the 21st century. Brain network analysis is an effective technique based on graph theory that is widely used to investigate network patterns in the human brain. Currently, mapping an individual brain network using a single image has been a hotspot in the field of brain science; techniques, such as the Kullback-Leibler (KL) method, have applications in structural Magnetic Resonance (MR) imaging. However, maintaining an image's intensity, shape, texture and gradient information during feature extraction is very challenging. In this study, we propose a novel method for individual-level network construction based on the high-resolution Brainnetome Atlas, which shows 246 brain regions. Principal components (PCs) were obtained

SUBMITTER: Jiang J 

PROVIDER: S-EPMC5753611 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature