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Dynamic Generative Model of the Human Brain in Resting-State

  • Dali Guo
  • Viplove Arora
  • Enrico Amico
  • Joaquín Goñi
  • Mario Ventresca
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 689)

Abstract

The human connectome is constructed by translating neuron activities into a complex network with nodes and edges. Although the topology of such networks is well studied, the formation rules and dynamics are not fully understood. It is challenging to develop a generative model for large scale dynamic complex networks due to the computational obstacle and nontrivial network structure. To study the node-based and subject-based network dynamics in resting-state brain, we divide the brain scan session into several sliding windows and generate a network for each segment. Then, an action-based model generator, which generates edges according to a topology manipulating actions, is fitted to the network series. This model, presumably as the first applicable approach for synthesizing the brain network dynamics, is shown capable of synthesizing a network series of the action-based model. Also, the estimated parameters shows that the actions of brain regions are related to their functionality.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Dali Guo
    • 1
  • Viplove Arora
    • 1
  • Enrico Amico
    • 1
  • Joaquín Goñi
    • 1
  • Mario Ventresca
    • 1
  1. 1.Purdue UniversityWest LafayetteUSA

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