Mapping human whole-brain structural networks with diffusion MRI.
Understanding the large-scale structural network formed by neurons is a major challenge in system neuroscience. A detailed connectivity map covering the entire brain would therefore be of great value. Based on diffusion MRI, we propose an efficient methodology to generate large, comprehensive and individual white matter connectional datasets of the living or dead, human or animal brain. This non-invasive tool enables us to study the basic and potentially complex network properties of the entire brain. For two human subjects we find that their individual brain networks have an exponential node degree distribution and that their global organization is in the form of a small world.
Hagmann
Patric
P
Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne, Lausanne, Switzerland; Signal Processing Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. patric.hagmann@epfl.ch
Kurant
Maciej
M
Gigandet
Xavier
X
Thiran
Patrick
P
Wedeen
Van J
VJ
Meuli
Reto
R
Thiran
Jean-Philippe
JP
D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D001931:Brain Mapping / Q000379:methods*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D009412:Nerve Fibers / Q000648:ultrastructure; D009929:Organ Size; D010487:Periaqueductal Gray / Q000033:anatomy & histology / Q000648:ultrastructure