Journal article
Connectomic Networks and Their Impact on Clinical Outcomes in Glioma Treatment: A Review
Indian journal of neurosurgery, v 12(2), pp 116-131
01 Aug 2023
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The emerging field of connectomics has provided an improved understanding of the structural and functional organization of the human brain into large-scale brain networks. Recent studies have helped define the canonical neurological networks and outline how considering their presence may aid in surgical decision-making in brain tumor patients. Gliomas represent one of the most common types of brain tumor and often involve displacement and/or infiltration of neurological pathways, suggesting an opportunity to use connectomic maps to improve patient morbidity and mortality based on oncofunctional goals. This review aims to provide a working knowledge of important neurological networks, examine the use of networks in surgical planning, and describe the current literature discussing the impact of these networks on clinical outcomes in glioma resection.
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Details
- Title
- Connectomic Networks and Their Impact on Clinical Outcomes in Glioma Treatment: A Review
- Creators
- Cameron A. Rawanduzy - University of UtahEmma R. Earl - University of UtahJaden B. Brooks - University of UtahMajid Khan - School of Medicine, University of Nevada, Reno, Nevada, United StatesNicholas B. Dadario - Robert Wood Johnson FoundationMichael E. Sughrue - Department of Neurosurgery, Prince of Wales Hospital, Randwick, New South Wales, AustraliaMichael Karsy - Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, Utah, United States, Global Neurosciences Institute, Upland, Pennsylvania, United States, Department of Neurosurgery, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States
- Publication Details
- Indian journal of neurosurgery, v 12(2), pp 116-131
- Publisher
- Thieme Medical Publishers
- Number of pages
- 16
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurosurgery
- Web of Science ID
- WOS:001035415400001
- Scopus ID
- 2-s2.0-85185363853
- Other Identifier
- 991022207054004721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Surgery