Age Related Topological Analysis of Synchronization-Based Functional Connectivity

  • Angela LombardiEmail author
  • Nicola Amoroso
  • Domenico Diacono
  • Eufemia Lella
  • Roberto Bellotti
  • Sabina Tangaro
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 813)


Network-based analysis methods of resting state fMRI data have revealed important aspects on the organization of the human brain. However, most of the known methods for quantifying functional coupling between fMRI time series are focused on linear correlation metrics. In this work, we used a synchronization index defined in the phase space of BOLD signals of a cohort of healthy subjects to construct their functional connectivity matrices. A regression analysis is then performed to identify age-related topological changes of synchronization-based functional connectivity. The results show that several brain regions exhibit significant age correlation, thus synchronization-based connectivity could be further be explored to investigate developmental and life-span trajectories.


Functional connectivity Synchronization fMRI Cross-recurrence plots Neurodevelopment Graph analysis 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Angela Lombardi
    • 1
    Email author
  • Nicola Amoroso
    • 1
    • 2
  • Domenico Diacono
    • 1
  • Eufemia Lella
    • 1
    • 2
  • Roberto Bellotti
    • 1
    • 2
  • Sabina Tangaro
    • 1
  1. 1.Istituto Nazionale di Fisica NucleareBariItaly
  2. 2.Dipartimento Interateneo di Fisica“M. Merlin”Università degli Studi di Bari “A. Moro”BariItaly

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