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Letters   |    
Using Brain Network Graph Modeling to Explore the Cause of Non-Motor Symptoms in Parkinson’s Disease
Samineh Mesbah, M.Sc.; Shahriar Gharibzadeh, M.D., Ph.D.; Farzad Towhidkhah, Ph.D.
The Journal of Neuropsychiatry and Clinical Neurosciences 2013;25:E60-E60. doi:10.1176/appi.neuropsych.12080200
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Biomedical Engineering Faculty Amirkabir University of Technology Tehran, Iran

Correspondence: Dr. Gharibzadeh; e-mail: gharibzadeh@aut.ac.ir

Copyright © 2013 American Psychiatric Association

Extract

To the Editor: Graph analysis of brain structural and functional connectivity has provided new properties for evaluating this network.1 The brain’s structural and functional systems have features of complex networks.2 A significant discovery is that the whole-brain network exhibits the “small-world” property shared with many other complex systems that allows the brain network to have high efficiency with a very low wiring and energy cost.1,2

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References

Guye  M;  Bettus  G;  Bartolomei  F  et al:  Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks   Magn Reson Mater Phy, 2010, pp 409–421
 
Bullmore  E;  Sporns  O: Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev 2009; 10:186–198
 
Skidmore  F;  Korenkevychb  D;  Liua  Y  et al:  Connectivity brain networks based on wavelet correlation analysis in Parkinson fMRI data. F.  Neurosci Lett 2011; 499:47–51
[CrossRef] | [PubMed]
 
Rodriguez-Oroz  MC;  Jahanshahi  M;  Krack  P  et al:  Initial clinical manifestations of Parkinson’s disease: features and pathophysiological mechanisms.  Lancet Neurol 2009; 8:1128–1139
[CrossRef] | [PubMed]
 
Rubinov  M;  Sporns  O:  Complex network measures of brain connectivity: uses and interpretations.  Neuroimage 2010; 52:1059–1069
[CrossRef] | [PubMed]
 
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