A Hybrid CPU-GPU Accelerated Framework for Fast Mapping of High-Resolution Human Brain Connectome

• Published in: PloS one Vol. 8; no. 5; p. e62789
• Main Authors: Wang, Yu, Du, Haixiao, Xia, Mingrui, Ren, Ling, Xu, Mo, Xie, Teng, Gong, Gaolang, Xu, Ningyi, Yang, Huazhong, He, Yong
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 10.05.2013; Public Library of Science (PLoS)
• Subjects: Algorithms; Architectural engineering; Automatic Data Processing - methods; Biology; Brain; Brain - physiology; Brain mapping; Brain Mapping - methods; Computational neuroscience; Connectome; Correlation coefficient; Correlation coefficients; Cortex; Cost analysis; Engineering; Functional magnetic resonance imaging; High resolution; Humans; Image Processing, Computer-Assisted - methods; Laboratories; Mapping; Medical imaging; Medicine; Models, Neurological; Modular structures; Network analysis; Networks; Neural networks; Neuroimaging; Neurology; Neurosciences; NMR; Nuclear magnetic resonance; Researchers; Structure-function relationships; Studies; Beijing China; China

Recently, a combination of non-invasive neuroimaging techniques and graph theoretical approaches has provided a unique opportunity for understanding the patterns of the structural and functional connectivity of the human brain (referred to as the human brain connectome). Currently, there is a very l...