4.3 Article

A Connectomic Atlas of the Human Cerebrum-Chapter 18: The Connectional Anatomy of Human Brain Networks

期刊

OPERATIVE NEUROSURGERY
卷 15, 期 -, 页码 S470-S480

出版社

OXFORD UNIV PRESS INC
DOI: 10.1093/ons/opy272

关键词

Connectivity; Tractography; DTI; Anatomy; Functional connectivity; Cerebrum; Human; Parcellations

资金

  1. NIMH NIH HHS [U54 MH091657] Funding Source: Medline

向作者/读者索取更多资源

BACKGROUND: It is widely understood that cortical functions are mediated by complex, interdependent brain networks. These networks have been identified and studied using novel technologies such as functional magnetic resonance imaging under both restingstate and task-based conditions. However, no one has attempted to describe these networks in terms of their cortical parcellations. OBJECTIVE: To describe our approach to network modeling and discuss its significance for the future of neuronavigation in brain surgery using the cortical parcellation scheme detailed within this supplement. METHODS: Using network models previously elucidated by our group using coordinate-based meta-analytic techniques, we show the anatomic position and underlying white matter tracts of the cortical regions comprising 8 functional networks of the human cerebrum. These network models are displayed using Synaptive's clinically available Bright-Matter tractography software (Synaptive Medical, Toronto, Canada). RESULTS: The relevant cortical parcellations of 8 different cerebral networks have been identified. The fiber tracts between these regions were used to construct anatomically precise models of the networks. Models are described for the dorsal attention, ventral attention, semantic, auditory, supplementary motor, ventral premotor, default mode, and salience networks. CONCLUSION: Our goal is to move towards more precise, anatomically specific models of brain networks that can be constructed for individual patients and utilized in navigational platforms during brain surgery. We believe network modeling and future advances in navigation technology can provide a foundation for improving neurosurgical outcomes by allowing us to preserve complex brain networks.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据