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Structural connectivity modifications in the brain of selected patients with tumour after its removal by surgery (a case study)

Author

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  • Sayari, Elaheh
  • Seifert, Evandro G.
  • Cruziniani, Fátima E.
  • Gabrick, Enrique C.
  • Iarosz, Kelly C.
  • Szezech, José D.
  • Baptista, Murilo S.
  • Caldas, Iberê L.
  • Batista, Antonio M.

Abstract

The brain is a complex organ that plays an important role in the control of most functions of the body, such as awareness, thoughts, sensations, movements, speech, and memory. A tumour formed in the brain can affect its ability to accurately and properly perform such functions. In this work, we use two brains with malignant tumours of different sizes before and after surgery. To identify the brain structural topology, we analyse different networks with various configurations and use diagnostic tools to match the network topologies generated by simulations with those obtained from the data. Our results show that the Newman–Watts small-world network best reproduces the topology from the patients with small and large tumours before surgery. Considering two analysed brains, our outcomes suggest that surgery can alter the brain topology from small-world to extended Barabási–Albert scale-free.

Suggested Citation

  • Sayari, Elaheh & Seifert, Evandro G. & Cruziniani, Fátima E. & Gabrick, Enrique C. & Iarosz, Kelly C. & Szezech, José D. & Baptista, Murilo S. & Caldas, Iberê L. & Batista, Antonio M., 2023. "Structural connectivity modifications in the brain of selected patients with tumour after its removal by surgery (a case study)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
    • Handle: RePEc:eee:phsmap:v:623:y:2023:i:c:s0378437123004041
    DOI: 10.1016/j.physa.2023.128849
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    References listed on IDEAS

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    1. M. E. J. Newman & D. J. Watts, 1999. "Renormalization Group Analysis of the Small-World Network Model," Working Papers 99-04-029, Santa Fe Institute.
    2. Krawczyk, M.J. & Muchnik, L. & Mańka-Krasoń, A. & Kułakowski, K., 2011. "Line graphs as social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2611-2618.
    3. Arcagni, Alberto & Grassi, Rosanna & Stefani, Silvana & Torriero, Anna, 2017. "Higher order assortativity in complex networks," European Journal of Operational Research, Elsevier, vol. 262(2), pages 708-719.
    4. Duncan J. Watts & Steven H. Strogatz, 1998. "Collective dynamics of ‘small-world’ networks," Nature, Nature, vol. 393(6684), pages 440-442, June.
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