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The Graph Theoretical Approach in Brain Functional NetworksCortical Networks in Spinal Cord Injured Patients

The Graph Theoretical Approach in Brain Functional Networks: Cortical Networks in Spinal Cord... [In this first application of the methodology developed in the previous chapters, we would like to analyze the structure of cortical connectivity during the attempt to move a paralyzed limb by a group of spinal cord injured (SCI) patients. The question is whether the “architecture” of the functional connectivity in SCI patients, evaluated by graph analysis, may differ from healthy behavior. In particular, we wonder if SCI patients could show a more efficient cortical network in order to compensate the altered behavior of their primary motor areas because the spinal injury. By using tools derived from graph theory (see Chapter 3), the indexes related to the topology of the cortical networks estimated were derived.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

The Graph Theoretical Approach in Brain Functional NetworksCortical Networks in Spinal Cord Injured Patients

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2010
ISBN
978-3-031-00516-9
Pages
29 –42
DOI
10.1007/978-3-031-01644-8_5
Publisher site
See Chapter on Publisher Site

Abstract

[In this first application of the methodology developed in the previous chapters, we would like to analyze the structure of cortical connectivity during the attempt to move a paralyzed limb by a group of spinal cord injured (SCI) patients. The question is whether the “architecture” of the functional connectivity in SCI patients, evaluated by graph analysis, may differ from healthy behavior. In particular, we wonder if SCI patients could show a more efficient cortical network in order to compensate the altered behavior of their primary motor areas because the spinal injury. By using tools derived from graph theory (see Chapter 3), the indexes related to the topology of the cortical networks estimated were derived.]

Published: Jan 1, 2010

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