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 Barab´asi-Albert
scale-free.
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 Barab´asi-Albert
scale-free.
Original language | English |
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Article number | 128849 |
Number of pages | 15 |
Journal | Physica. A, Statistical Mechanics and its Applications |
Volume | 623 |
Early online date | 23 May 2023 |
DOIs | |
Publication status | E-pub ahead of print - 23 May 2023 |
Keywords
- Complex system
- Brain tumor
- Structural connectivity matrix
- Graph theory