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将网络神经科学融入癫痫护理:进展、障碍与下一步措施

Integrating Network Neuroscience Into Epilepsy Care: Progress, Barriers, and Next Steps.

作者信息

Sinha Nishant, Johnson Graham W, Davis Kathryn A, Englot Dario J

机构信息

Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia PA, USA.

Department of Neurology, Penn Epilepsy Center, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.

出版信息

Epilepsy Curr. 2022 May 13;22(5):272-278. doi: 10.1177/15357597221101271. eCollection 2022 Sep-Oct.

DOI:10.1177/15357597221101271
PMID:36285209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9549227/
Abstract

Drug resistant epilepsy is a disorder involving widespread brain network alterations. Recently, many groups have reported neuroimaging and electrophysiology network analysis techniques to aid medical management, support presurgical planning, and understand postsurgical seizure persistence. While these approaches may supplement standard tests to improve care, they are not yet used clinically or influencing medical or surgical decisions. When will this change? Which approaches have shown the most promise? What are the barriers to translating them into clinical use? How do we facilitate this transition? In this review, we will discuss progress, barriers, and next steps regarding the integration of brain network analysis into the medical and presurgical pipeline.

摘要

药物难治性癫痫是一种涉及广泛脑网络改变的疾病。最近,许多研究团队报告了神经影像学和电生理网络分析技术,以辅助医疗管理、支持术前规划并理解术后癫痫发作的持续情况。虽然这些方法可能会补充标准测试以改善治疗,但它们尚未在临床上使用,也未影响医疗或手术决策。这种情况何时会改变?哪些方法最有前景?将它们转化为临床应用的障碍是什么?我们如何推动这一转变?在这篇综述中,我们将讨论将脑网络分析整合到医疗和术前流程中的进展、障碍及后续步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f86/9549227/256b65a0cbf4/10.1177_15357597221101271-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f86/9549227/256b65a0cbf4/10.1177_15357597221101271-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f86/9549227/256b65a0cbf4/10.1177_15357597221101271-fig1.jpg

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Characterization of resting functional MRI activity alterations across epileptic foci and networks.
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