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Evaluation of Functional and Structural Networks of Healthy Macaque Monkey Brains and Comparison with Macaque Monkeys with Parkinson’s in Previous Research

Yousef Abadi, Matin | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55366 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Rabiee, Hamid Reza
  7. Abstract:
  8. The brain is one of the most critical parts of the body with a lot of complexity. The treatment of brain diseases has always been in an aura of uncertainty due to its high sensitivity. In the meantime, Parkinson's disease has become the second most frequent brain disease after Alzheimer's, involving more than two percent of the population over 65 years of age. One of the biggest questions in this field is how the Parkinson's process is formed. This question has already received much attention from the pathophysiological point of view but has not been answered from the functional and structural brain network's point of view. This research compares healthy macaque monkeys' functional and structural brain networks with previously reported results in parkinsonian macaque monkeys. In this research, we use the tools of artificial intelligence and computer science so that we can have a correct evaluation and measurement of the brain of a healthy macaque monkey. Finally, among four functional and structural networks that change Parkinson's disease, we studied the difference between healthy samples and previous parkinsonian ones in the literature. In addition, by using some defined graph criteria, we achieved a proper evaluation of the brain of the parkinsonian macaque. The comparison of the obtained results with the results of previous research led us to a suitable summary of the process in the macaque monkey brain in terms of function and structure during Parkinson's disease. The expansion of this research will be in the subsequent phases of data collection, and comparison with the same parkinsonian samples will be the most crucial future step of this research
  9. Keywords:
  10. Brain Functional Network ; Structured Network ; Parkinson Disease ; Artificial Intelligence ; Graph Properties

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