Uncovering the neural basis of psychiatric and neurological disorders is the foundation
for the development of diagnosis and treatment programs. While disorder-related changes
in focal brain areas and specific brain connections have been scrutinized, a recently
developed research framework—human brain connectomics (
1
)—offers the opportunity to study the brain as a complex, integrative network. In
a nutshell, a brain network can be constructed on the basis of connections (edges)
among brain regions (nodes) derived from a variety of imaging data. The constructed
networks can then be viewed as a graph, with mathematical measures available to quantify
its various types of topological properties. Such methods reshape how brain structure
and function can be conceptualized and studied and provide a whole new perspective
of how diseased brain can be understood.To read this article in full you will need to make a payment
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References
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Article info
Publication history
Accepted:
July 3,
2014
Received:
July 3,
2014
Identification
Copyright
© 2014 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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Access this article on ScienceDirectLinked Article
- Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome AnalysisBiological PsychiatryVol. 76Issue 7
- PreviewMajor depressive disorder (MDD) has been shown to be associated with a disrupted topological organization of functional brain networks. However, little is known regarding whether these changes have a structural basis. Diffusion tensor imaging (DTI) enables comprehensive whole-brain mapping of the white matter tracts that link regions distributed throughout the entire brain, the so-called human connectome.
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