Skip to main content
main-content
Top

Hint

Swipe to navigate through the articles of this issue

01-12-2019 | Original Article | Issue 1/2019

Network Modeling Analysis in Health Informatics and Bioinformatics 1/2019

Using multiple network alignment for studying connectomes

Journal:
Network Modeling Analysis in Health Informatics and Bioinformatics > Issue 1/2019
Authors:
Marianna Milano, Pietro Hiram Guzzi, Mario Cannataro

Abstract

A growing area in neurosciences is focused on the modelling and analysis of connectome, i.e. the set of connections among the constitutive element of the brain. Among the representations, the use of graph theory is largely used. Such discipline uses neuroimaging techniques to derive the connections among the elements. Images represent the anatomical regions of the brain and images are usually compared to an atlas to identify them, and this process is usually referred to as parcellation. It fails in the presence of disease and for brains of children. Consequently, atlas-free random brain parcellation has been proposed that is based to divide the image into regions and to model each region as a node. Then connections among regions are represented by (un)weighted edges. To improve parcellation, a set of images is taken from the same subject, and then the resulting brain is derived by comparing resulting graphs of each image. Therefore, the question of comparison of the structure of networks arises using network alignment (NA) algorithms. In this paper, we first defined the NA problem formally, then we applied three existing states of the art of multiple alignment algorithms (MNA) on diffusion MRI-derived brain networks, and we compared the performances. Our findings show that MNA algorithms may be applied.

Please log in to get access to this content

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Umwelt
  • Maschinenbau + Werkstoffe​​​​​​​




Testen Sie jetzt 30 Tage kostenlos.

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 30 Tage kostenlos.

Literature
About this article

Other articles of this Issue 1/2019

Network Modeling Analysis in Health Informatics and Bioinformatics 1/2019 Go to the issue

Premium Partner

    Image Credits