Beyond eloquence and onto centrality: a new paradigm in planning supratentorial neurosurgery
| Autor: | Christina C. Jacobs, Charles Teo, Cameron E. Nix, Daniel T. Griffin, Luke R Fletcher, Arpan R. Chakraborty, Alison M. Lack, Kassem Chendeb, Michael E. Sughrue, Ryan G. Jones, Syed A. Ahsan, Robert G. Briggs |
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| Rok vydání: | 2019 |
| Předmět: |
Adult
Male Cancer Research medicine.medical_specialty Neurosurgery Neuroimaging law.invention 03 medical and health sciences Young Adult 0302 clinical medicine PageRank law Neural Pathways medicine Humans Adjacency matrix Aged Brain Mapping Human Connectome Project Brain Supratentorial Neoplasms Graph theory Middle Aged Magnetic Resonance Imaging Health Planning Neurology Oncology 030220 oncology & carcinogenesis Female Neurology (clinical) Centrality Psychology Construct (philosophy) 030217 neurology & neurosurgery Cognitive psychology |
| Zdroj: | Journal of neuro-oncology. 146(2) |
| ISSN: | 1573-7373 |
| Popis: | Minimizing post-operational neurological deficits as a result of brain surgery has been one of the most pertinent endeavours of neurosurgical research. Studies have utilised fMRIs, EEGs and MEGs in order to delineate and establish eloquent areas, however, these methods have not been utilized by the wider neurosurgical community due to a lack of clinical endpoints. We sought to ascertain if there is a correlation between graph theory metrics and the neurosurgical notion of eloquent brain regions. We also wanted to establish which graph theory based nodal centrality measure performs the best in predicting eloquent areas. We obtained diffusion neuroimaging data from the Human Connectome Project (HCP) and applied a parcellation scheme to it. This enabled us to construct a weighted adjacency matrix which we then analysed. Our analysis looked at the correlation between PageRank centrality and eloquent areas. We then compared PageRank centrality to eigenvector centrality and degree centrality to see what the best measure of empirical neurosurgical eloquence was. Areas that are considered neurosurgically eloquent tended to be predicted by high PageRank centrality. By using summary scores for the three nodal centrality measures we found that PageRank centrality best correlated to empirical neurosurgical eloquence. The notion of eloquent areas is important to neurosurgery and graph theory provides a mathematical framework to predict these areas. PageRank centrality is able to consistently find areas that we consider eloquent. It is able to do so better than eigenvector and degree central measures. |
| Databáze: | OpenAIRE |
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