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神经外科中的认知口才:来自复杂脑网络的图论分析的见解。

Cognitive eloquence in neurosurgery: Insight from graph theoretical analysis of complex brain networks.

作者信息

Lang Stefan

机构信息

University of Calgary, Department of Clinical Neuroscience, Canada.

出版信息

Med Hypotheses. 2017 Jan;98:49-56. doi: 10.1016/j.mehy.2016.11.010. Epub 2016 Nov 23.

Abstract

The structure and function of the brain can be described by complex network models, and the topological properties of these models can be quantified by graph theoretical analysis. This has given insight into brain regions, known as hubs, which are critical for integrative functioning and information transfer, both fundamental aspects of cognition. In this manuscript a hypothesis is put forward for the concept of cognitive eloquence in neurosurgery; that is regions (cortical, subcortical and white matter) of the brain which may not necessarily have readily identifiable neurological function, but if injured may result in disproportionate cognitive morbidity. To this end, the effects of neurosurgical resection on cognition is reviewed and an overview of the role of complex network analysis in the understanding of brain structure and function is provided. The literature describing network, behavioral, and cognitive effects resulting from lesions to, and disconnections of, centralized hub regions will be emphasized as evidence for the espousal of the concept of cognitive eloquence.

摘要

大脑的结构和功能可以通过复杂网络模型来描述,这些模型的拓扑特性可以通过图论分析进行量化。这使人们深入了解了被称为枢纽的脑区,这些脑区对于认知的两个基本方面——整合功能和信息传递至关重要。在本手稿中,提出了神经外科中认知口才概念的假说;即大脑中不一定具有易于识别的神经功能,但如果受损可能导致不成比例的认知发病率的区域(皮质、皮质下和白质)。为此,回顾了神经外科手术切除对认知的影响,并概述了复杂网络分析在理解脑结构和功能中的作用。将强调描述因集中枢纽区域的损伤和断开连接而产生的网络、行为和认知影响的文献,作为支持认知口才概念的证据。

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