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  2. Volume 8, Issue 3
  3. Author

Online ISSN: 2515-8260

Volume8, Issue3

Review on Graph Theoretical Framework of Brain Networks

    SudesnaSen, Nirmal Kumar Mahapatra

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 3, Pages 3454-3462

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Abstract

Network research gives strong access to the entire human brain organisation. It was
applied to characterise the brain communication patterns in combination with graph
theory. Multiple sclerosis (MS) offers new insights into pathological processes within grey
and white matter. It analyses brain networks derived from structural or functional
imaging. In addition to focal lesions and diffuse tissue damage, network connectivity
patterns may be significant in close monitoring and disease prediction. This study explains
the graphical theory principles, highlights new issues related to acute and chronic tissue
reorganisation, and discusses network analysis in MS patients. We also describe functional
and structural communication trends observed in MS from disconnection and disturbance
to modification and compensation. Also, based on current literature, we link network
change and its connection to clinical incapacity. Finally, we explore the network science
perspective in MS for future research and postulate its position in the clinical environment.
Keywords:
    multiple sclerosis Network analysis Graph theory Network reorganisation Functional connectivity Structural connectivity
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(2021). Review on Graph Theoretical Framework of Brain Networks. European Journal of Molecular & Clinical Medicine, 8(3), 3454-3462.
SudesnaSen, Nirmal Kumar Mahapatra. "Review on Graph Theoretical Framework of Brain Networks". European Journal of Molecular & Clinical Medicine, 8, 3, 2021, 3454-3462.
(2021). 'Review on Graph Theoretical Framework of Brain Networks', European Journal of Molecular & Clinical Medicine, 8(3), pp. 3454-3462.
Review on Graph Theoretical Framework of Brain Networks. European Journal of Molecular & Clinical Medicine, 2021; 8(3): 3454-3462.
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