Connectomic Networks and Their Impact on Clinical Outcomes in Glioma Treatment: A Review

IF 0.3 Q4 SURGERY Indian Journal of Neurosurgery Pub Date : 2023-07-24 DOI:10.1055/s-0043-1771214
Cameron A. Rawanduzy, E. R. Earl, Jaden B. Brooks, Majid Khan, N. Dadario, M. Sughrue, M. Karsy
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引用次数: 1

Abstract

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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神经胶质瘤治疗中连接组网络及其对临床结果的影响:综述
连接组学这一新兴领域为大规模大脑网络的结构和功能组织提供了更好的理解。最近的研究帮助定义了典型的神经网络,并概述了如何考虑它们的存在可能有助于脑肿瘤患者的手术决策。胶质瘤是最常见的脑肿瘤类型之一,通常涉及神经通路的移位和/或浸润,这表明使用连接组图来改善基于肿瘤功能目标的患者发病率和死亡率的机会。本综述旨在提供重要神经网络的工作知识,检查网络在手术计划中的使用,并描述当前讨论这些网络对胶质瘤切除术临床结果影响的文献。
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来源期刊
CiteScore
0.40
自引率
0.00%
发文量
52
审稿时长
12 weeks
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