Suppr超能文献

耐药性癫痫的连接组生物标志物。

Connectome biomarkers of drug-resistant epilepsy.

机构信息

Multimodal Imaging and Connectome Analysis Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.

Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada.

出版信息

Epilepsia. 2021 Jan;62(1):6-24. doi: 10.1111/epi.16753. Epub 2020 Nov 25.

Abstract

Drug-resistant epilepsy (DRE) considerably affects patient health, cognition, and well-being, and disproportionally contributes to the overall burden of epilepsy. The most common DRE syndromes are temporal lobe epilepsy related to mesiotemporal sclerosis and extratemporal epilepsy related to cortical malformations. Both syndromes have been traditionally considered as "focal," and most patients benefit from brain surgery for long-term seizure control. However, increasing evidence indicates that many DRE patients also present with widespread structural and functional network disruptions. These anomalies have been suggested to relate to cognitive impairment and prognosis, highlighting their importance for patient management. The advent of multimodal neuroimaging and formal methods to quantify complex systems has offered unprecedented ability to profile structural and functional brain networks in DRE patients. Here, we performed a systematic review on existing DRE network biomarker candidates and their contribution to three key application areas: (1) modeling of cognitive impairments, (2) localization of the surgical target, and (3) prediction of clinical and cognitive outcomes after surgery. Although network biomarkers hold promise for a range of clinical applications, translation of neuroimaging biomarkers to the patient's bedside has been challenged by a lack of clinical and prospective studies. We therefore close by highlighting conceptual and methodological strategies to improve the evaluation and accessibility of network biomarkers, and ultimately guide clinically actionable decisions.

摘要

耐药性癫痫 (DRE) 严重影响患者的健康、认知和生活质量,不成比例地增加了癫痫的整体负担。最常见的 DRE 综合征是与颞叶内侧硬化相关的颞叶癫痫和与皮质畸形相关的颞外癫痫。这两种综合征传统上都被认为是“局灶性”的,大多数患者通过脑部手术可长期控制癫痫发作。然而,越来越多的证据表明,许多 DRE 患者也存在广泛的结构和功能网络紊乱。这些异常被认为与认知障碍和预后有关,凸显了它们对患者管理的重要性。多模态神经影像学和定量复杂系统的正式方法的出现,为 DRE 患者的结构和功能脑网络特征提供了前所未有的能力。在这里,我们对现有的 DRE 网络生物标志物候选物及其在三个关键应用领域的贡献进行了系统综述:(1)认知障碍的建模,(2)手术靶点的定位,(3)手术后临床和认知结果的预测。尽管网络生物标志物在一系列临床应用中具有广阔的前景,但神经影像学生物标志物向患者床边的转化受到缺乏临床和前瞻性研究的挑战。因此,我们最后强调了提高网络生物标志物的评估和可及性的概念和方法策略,最终为临床决策提供指导。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验