小柯机器人

美国约翰霍普金斯大学Adam Li研究组发现神经脆性可作为癫痫发作区 (SOZ)的脑电图 (EEG)标志物。该项研究成果发表在2021年8月5日出版的《自然—神经科学》上。

他们通过使用注释 SOZ 的神经脆弱性作为预测手术预后的指标，在对 91 名患者的回顾性分析中开发并回顾性验证了一种新的EEG标志物——神经脆弱性。脆弱性可预测 47 次手术失败中的 43 次，总体预测准确率为 76%，而临床医生的准确率为 48%（成功预后）。在失败的预后中，他们确定了未经治疗的脆弱区域。与作为 SOZ 标志物提出的 20 个脑电图特征相比，脆弱性在预测能力和可解释性方面的表现更优，这表明神经脆弱性是 SOZ 的脑电图生物标志物。

据介绍，全世界有超过 1500 万癫痫患者对药物没有反应。成功的手术治疗需要完全切除或断开SOZ，即癫痫发作的大脑区域。不幸的是，手术成功率在 30% 到 70% 之间变化，因为没有经临床验证的 SOZ 生物标志物。

附：英文原文

Title: Neural fragility as an EEG marker of the seizure onset zone

Author: Li, Adam, Huynh, Chester, Fitzgerald, Zachary, Cajigas, Iahn, Brusko, Damian, Jagid, Jonathan, Claudio, Angel O., Kanner, Andres M., Hopp, Jennifer, Chen, Stephanie, Haagensen, Jennifer, Johnson, Emily, Anderson, William, Crone, Nathan, Inati, Sara, Zaghloul, Kareem A., Bulacio, Juan, Gonzalez-Martinez, Jorge, Sarma, Sridevi V.

Issue&Volume: 2021-08-05

Abstract: Over 15 million patients with epilepsy worldwide do not respond to drugs. Successful surgical treatment requires complete removal or disconnection of the seizure onset zone (SOZ), brain region(s) where seizures originate. Unfortunately, surgical success rates vary between 30 and 70% because no clinically validated biological marker of the SOZ exists. We develop and retrospectively validate a new electroencephalogram (EEG) marker—neural fragility—in a retrospective analysis of 91 patients by using neural fragility of the annotated SOZ as a metric to predict surgical outcomes. Fragility predicts 43 out of 47 surgical failures, with an overall prediction accuracy of 76% compared with the accuracy of clinicians at 48% (successful outcomes). In failed outcomes, we identify fragile regions that were untreated. When compared to 20 EEG features proposed as SOZ markers, fragility outperformed in predictive power and interpretability, which suggests neural fragility as an EEG biomarker of the SOZ.

DOI: 10.1038/s41593-021-00901-w

Source: https://www.nature.com/articles/s41593-021-00901-w

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex