Graph Theory Measures and Their Application to Neurosurgical Eloquence
Improving patient safety and preserving eloquent brain are crucial in neurosurgery. Since there is significant clinical variability in post-operative lesions suffered by patients who undergo surgery in the same areas deemed compensable, there is an unknown degree of inter-individual variability in b...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/15/2/556 |
| _version_ | 1797444719204106240 |
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| author | Onur Tanglay Nicholas B. Dadario Elizabeth H. N. Chong Si Jie Tang Isabella M. Young Michael E. Sughrue |
| author_facet | Onur Tanglay Nicholas B. Dadario Elizabeth H. N. Chong Si Jie Tang Isabella M. Young Michael E. Sughrue |
| author_sort | Onur Tanglay |
| collection | DOAJ |
| description | Improving patient safety and preserving eloquent brain are crucial in neurosurgery. Since there is significant clinical variability in post-operative lesions suffered by patients who undergo surgery in the same areas deemed compensable, there is an unknown degree of inter-individual variability in brain ‘eloquence’. Advances in connectomic mapping efforts through diffusion tractography allow for utilization of non-invasive imaging and statistical modeling to graphically represent the brain. Extending the definition of brain eloquence to graph theory measures of hubness and centrality may help to improve our understanding of individual variability in brain eloquence and lesion responses. While functional deficits cannot be immediately determined intra-operatively, there has been potential shown by emerging technologies in mapping of hub nodes as an add-on to existing surgical navigation modalities to improve individual surgical outcomes. This review aims to outline and review current research surrounding novel graph theoretical concepts of hubness, centrality, and eloquence and specifically its relevance to brain mapping for pre-operative planning and intra-operative navigation in neurosurgery. |
| first_indexed | 2024-03-09T13:16:33Z |
| format | Article |
| id | doaj.art-845831f74c054a6c9cdd9697d5231ff0 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-09T13:16:33Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-845831f74c054a6c9cdd9697d5231ff02023-11-30T21:35:34ZengMDPI AGCancers2072-66942023-01-0115255610.3390/cancers15020556Graph Theory Measures and Their Application to Neurosurgical EloquenceOnur Tanglay0Nicholas B. Dadario1Elizabeth H. N. Chong2Si Jie Tang3Isabella M. Young4Michael E. Sughrue5UNSW School of Clinical Medicine, Faulty of Medicine and Health, University of New South Wales, Sydney, NSW 2052, AustraliaRobert Wood Johnson Medical School, Rutgers University, 125 Paterson St, New Brunswick, NJ 08901, USAYong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, SingaporeSchool of Medicine, University of California Davis, Sacramento, CA 95817, USAOmniscient Neurotechnology, Level 10/580 George Street, Sydney, NSW 2000, AustraliaOmniscient Neurotechnology, Level 10/580 George Street, Sydney, NSW 2000, AustraliaImproving patient safety and preserving eloquent brain are crucial in neurosurgery. Since there is significant clinical variability in post-operative lesions suffered by patients who undergo surgery in the same areas deemed compensable, there is an unknown degree of inter-individual variability in brain ‘eloquence’. Advances in connectomic mapping efforts through diffusion tractography allow for utilization of non-invasive imaging and statistical modeling to graphically represent the brain. Extending the definition of brain eloquence to graph theory measures of hubness and centrality may help to improve our understanding of individual variability in brain eloquence and lesion responses. While functional deficits cannot be immediately determined intra-operatively, there has been potential shown by emerging technologies in mapping of hub nodes as an add-on to existing surgical navigation modalities to improve individual surgical outcomes. This review aims to outline and review current research surrounding novel graph theoretical concepts of hubness, centrality, and eloquence and specifically its relevance to brain mapping for pre-operative planning and intra-operative navigation in neurosurgery.https://www.mdpi.com/2072-6694/15/2/556centralitydMRIeloquencegraph theoryhubnessneurosurgery |
| spellingShingle | Onur Tanglay Nicholas B. Dadario Elizabeth H. N. Chong Si Jie Tang Isabella M. Young Michael E. Sughrue Graph Theory Measures and Their Application to Neurosurgical Eloquence Cancers centrality dMRI eloquence graph theory hubness neurosurgery |
| title | Graph Theory Measures and Their Application to Neurosurgical Eloquence |
| title_full | Graph Theory Measures and Their Application to Neurosurgical Eloquence |
| title_fullStr | Graph Theory Measures and Their Application to Neurosurgical Eloquence |
| title_full_unstemmed | Graph Theory Measures and Their Application to Neurosurgical Eloquence |
| title_short | Graph Theory Measures and Their Application to Neurosurgical Eloquence |
| title_sort | graph theory measures and their application to neurosurgical eloquence |
| topic | centrality dMRI eloquence graph theory hubness neurosurgery |
| url | https://www.mdpi.com/2072-6694/15/2/556 |
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