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

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...

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Veröffentlicht in:	PloS one Jg. 8; H. 5; S. e62789
Hauptverfasser:	Wang, Yu, Du, Haixiao, Xia, Mingrui, Ren, Ling, Xu, Mo, Xie, Teng, Gong, Gaolang, Xu, Ningyi, Yang, Huazhong, He, Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 10.05.2013 Public Library of Science (PLoS)
Schlagworte:	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
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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