Mapping Human Whole-Brain Structural Networks with Diffusion MRI

被引：582

作者：

Hagmann, Patric ^{[1
,2
,3
]}

Kurant, Maciej ^{[4
]}

Gigandet, Xavier ^{[3
]}

Thiran, Patrick ^{[4
]}

Wedeen, Van J. ^{[5
]}

Meuli, Reto ^{[1
,2
]}

Thiran, Jean-Philippe ^{[3
]}

机构：

[1] CHU Vaudois, Dept Radiol, CH-1011 Lausanne, Switzerland

[2] Univ Lausanne, Lausanne, Switzerland

[3] Ecole Polytech Fed Lausanne, Signal Proc Inst, CH-1015 Lausanne, Switzerland

[4] Ecole Polytech Fed Lausanne, Lab Comp Commun & Applicat, CH-1015 Lausanne, Switzerland

[5] Harvard Univ, Sch Med, MGH Martinos Ctr Biomed Imaging, Charlestown, MA USA

来源：

PLOS ONE | 2007年 / 2卷 / 07期

基金：

瑞士国家科学基金会;

关键词：

D O I：

10.1371/journal.pone.0000597

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：9

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