A Multiplex Network Model to Characterize Brain Atrophy in Structural MRI

  • Marianna La Rocca
  • Nicola AmorosoEmail author
  • Roberto Bellotti
  • Domenico Diacono
  • Alfonso Monaco
  • Anna Monda
  • Andrea Tateo
  • Sabina Tangaro
Conference paper
Part of the Springer Proceedings in Physics book series (SPPHY, volume 191)


We developed a multiplex network approach for the description and recognition of structural brain changes in the context of the early diagnosis of Alzheimer disease (AD). Our techniques can supply a convenient mathematical framework to model structural inter- and intra-subject brain similarities in magnetic resonance images (MRI) within Alzheimer disease studies. We used a set of 100 structural T1 brain scans, from subjects of the Alzheimer’s Disease Neuroimaging Initiative, including AD patients, normal controls (NC) and mild cognitive impairment (MCI) subjects. We evaluated the classification performances including the comparison of two state-of-the-art techniques, Random Forests (RF) and Support Vector Machines (SVM) . Our results show that multiplex networks can significantly improve the classification performance obtained only with the use of structural features. They can also effectively distinguish NC, MCI and AD patterns with an area under the receiver-operating-characteristic curve (AUC) \(\ge 0.89 \pm 0.04\).


Support Vector Machine Mild Cognitive Impairment Classification Performance Feature Subset Relative Standard Error 
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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Marianna La Rocca
    • 1
  • Nicola Amoroso
    • 1
    Email author
  • Roberto Bellotti
    • 1
  • Domenico Diacono
    • 2
  • Alfonso Monaco
    • 3
  • Anna Monda
    • 4
  • Andrea Tateo
    • 1
  • Sabina Tangaro
    • 2
  1. 1.Dipatimento di Fisica “M. Merlin”Università Degli Studi di Bari “A. Moro”, Istituto Nazionale di Fisica Nucleare, sez. di BariBariItaly
  2. 2.Istituto Nazionale di Fisica Nucleare, sez. di BariBariItaly
  3. 3.Dipatimento di Fisica “M. Merlin”Istituto Nazionale di Fisica Nucleare, sez. di BariBariItaly
  4. 4.Department of Basic Medical Sciences, Neuroscience and Sense OrgansUniversità degli Studi di Bari “Aldo Moro”BariItaly

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