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脑连接组学在肿瘤神经科学中的应用:从传统的以胶质瘤解剖为重点的手术策略到元网络方法。

Brain connectomics applied to oncological neuroscience: from a traditional surgical strategy focusing on glioma topography to a meta-network approach.

机构信息

Department of Neurosurgery, Montpellier University Medical Center, 34295, Montpellier, France.

Institute of Functional Genomics, INSERM U-1191, University of Montpellier, 34298, Montpellier, France.

出版信息

Acta Neurochir (Wien). 2021 Apr;163(4):905-917. doi: 10.1007/s00701-021-04752-z. Epub 2021 Feb 9.

Abstract

The classical way for surgical selection and planning in cerebral glioma mainly focused on tumor topography. The emerging science of connectomics, which aims of mapping brain connectivity, resulted in a paradigmatic shift from a modular account of cerebral organization to a meta-network perspective. Adaptive behavior is actually mediated by constant changes in interactions within and across large-scale delocalized neural systems underlying conation, cognition, and emotion. Here, to optimize the onco-functional balance of glioma surgery, the purpose is to switch toward a connectome-based resection taking account of both relationships between the tumor and critical distributed circuits (especially subcortical pathways) as well as the perpetual instability of the meta-network. Such dynamic in the neural spatiotemporal integration permits functional reallocation leading to neurological recovery after massive resection in structures traditionally thought as "inoperable." This better understanding of connectome increases benefit/risk ratio of surgery (i) by selecting resection in areas deemed "eloquent" according to a localizationist dogma; (ii), conversely, by refining intraoperative awake cognitive mapping and monitoring in so-called non-eloquent areas; (iii) by improving preoperative information, enabling an optimal selection of intrasurgical tasks tailored to the patient's wishes; (iv) by developing an "oncological disconnection surgery"; (v) by defining a personalized multistep surgical strategy adapted to individual brain reshaping potential; and (vi) ultimately by preserving environmentally and socially appropriate behavior, including return to work, while increasing the extent of (possibly repeated) resection(s). Such a holistic vision of neural processing can enhance reliability of connectomal surgery in oncological neuroscience and may also be applied to restorative neurosurgery.

摘要

经典的脑胶质瘤手术选择和规划主要侧重于肿瘤的解剖位置。新兴的连接组学旨在绘制大脑连接图,它带来了一个从大脑组织的模块化描述到元网络视角的范式转变。适应性行为实际上是通过在意志、认知和情感背后的大尺度去本地化神经系统内和跨系统的相互作用的不断变化来实现的。在这里,为了优化脑胶质瘤手术的肿瘤-功能平衡,目的是转向基于连接组的切除术,既要考虑肿瘤与关键分布式回路(特别是皮质下通路)之间的关系,也要考虑元网络的持续不稳定性。这种神经时空整合的动态允许功能再分配,从而在传统上被认为“无法手术”的结构中进行大量切除后实现神经恢复。对连接组的更好理解提高了手术的获益/风险比:(i) 根据定位主义的教条,选择在被认为“功能区”的区域进行切除;(ii) 相反,在所谓的“非功能区”细化术中唤醒认知图和监测;(iii) 通过术前信息的改善,使最佳选择术中任务能够根据患者的意愿进行定制;(iv) 通过开展“肿瘤性离断术”;(v) 通过定义个性化的多步骤手术策略,以适应个体大脑重塑的潜力;(vi) 最终通过保留环境和社会适当的行为,包括恢复工作,同时增加(可能重复)切除的程度。这种对神经处理的整体观点可以提高连接组手术在肿瘤神经科学中的可靠性,也可以应用于修复性神经外科。

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