Difference between revisions of "Stam et al 2006"

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In the experiments, the authors show a nonsignificant trend to lower values of cluster coefficient in AD patients and the path length is larger for those patients.
 
In the experiments, the authors show a nonsignificant trend to lower values of cluster coefficient in AD patients and the path length is larger for those patients.
  
You can find the results in [[]]
+
You can find the results in [[result of AD using small-world]]
  
 
== Related Papers ==
 
== Related Papers ==

Revision as of 22:06, 29 March 2011

Citation

C.J.Stam, B.F.Jones, G.Nolte, M.Breakspear and Ph.Scheltens, Small-World Networks and Functional Connectivity in Alzheimer's Disease, 2006

Online Version

You can find the paper [1]

Problem

In this paper, the authors address the question whether functional brain networks in Alzheimer's Disease(AD) are characterized by a loss of small-world features such as high cluster coefficient and a short path length.

Summary

People use synchronization likelihood (SL) to investigate the connectivity or interdependencies within a dynamical system framework such as human's brain. It has been suggested that a small-world network architecture may be optimal for synchronizing neural activity between different brain regions. In this paper, the authors convert the brain network into a binary graph (vertices with undirected edges). By varying the a threshold T which controls the generation of such graphs, the authors verify that small-world phenomenon does exist in AD patients' brains.

Dataset

In this paper, the authors used 28 subjects as their data.

Analysis

In the experiments, the authors show a nonsignificant trend to lower values of cluster coefficient in AD patients and the path length is larger for those patients.

You can find the results in result of AD using small-world

Related Papers

[1] K. Krippendorf(2004). Content analysis: An introduction to its methodology.

[2] E. Wenzel(2006). Dropping knowledge: question-and-answer sites.