Review Article Open Access

A Survey of Graph Based Complex Brain Network Analysis Using Functional and Diffusional MRI

Md Rafiqul Islam1, Xiaoxia Yin1, Anwaar Ulhaq2, Yanchun Zhang1, Hua Wang1, Noreen Anjum3 and Tomas Kron4
  • 1 Centre for Applied Informatics (CAI), Victoria University, Melbourne, Australia
  • 2 College of Engineering and Science, Victoria University, Melbourne, Australia
  • 3 Preston University, Islamabad, Pakistan
  • 4 Peter Maccallum Cancer Centre, Melbourne, Australia


The brain network is the function of a structurally and functionally organized complex system. Its structure and activity analysis is one of the most significant challenges. The graph based techniques of brain complex networks have been successfully used in various types of image and medical data analysis. In this survey paper, we focus on a comprehensive study of the analytical methods for complex brain network based on graph theory. This review paper is intended to provide automated brain disease diagnosis based on functional and diffusional MRI modalities. Furthermore, we discuss subjective and objective quality evaluations of complex brain networks, important tools for automated brain disease diagnosis, challenging issues and future research directions in this increasingly evolving research field.

American Journal of Applied Sciences
Volume 14 No. 12, 2017, 1186-1208


Submitted On: 6 November 2017 Published On: 8 January 2018

How to Cite: Islam, M. R., Yin, X., Ulhaq, A., Zhang, Y., Wang, H., Anjum, N. & Kron, T. (2017). A Survey of Graph Based Complex Brain Network Analysis Using Functional and Diffusional MRI. American Journal of Applied Sciences, 14(12), 1186-1208.

  • 7 Citations



  • Functional MRI
  • Diffusion MRI
  • Graph Theory
  • Complex Network
  • Modality