Neural silences can be localized rapidly using noninvasive scalp EEG.
Neural silences can be localized rapidly using noninvasive scalp EEG.
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DOI：
10.1038/s42003-021-01768-0
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发表时间：
2021-03-30
影响因子：
5.9
通讯作者：
Grover P
中科院分区：
文献类型：
--
作者：
Chamanzar A;Behrmann M;Grover P
一种快速且经济有效的非侵入性工具来检测和描述神经沉默的特征在诊断和治疗许多疾病方面具有重要的益处。我们提出了一种名为SilenceMap的算法，用于使用非侵入性头皮脑电(EEG)信号揭示电生理信号或神经沉默的缺失。通过考虑不同来源对记录信号功率的贡献，并使用半球基线方法和凸谱聚类框架，SilenceMap允许使用相对少量的EEG数据快速检测和定位大脑中的静默区。SilenceMap在使用不到3 分钟的脑电记录(13、2和11 mm比25、62和53 mm)以及基于真实人体头部模型的100个不同模拟静默区域(12 ± 0.7 mm比54 ± 2.2 mm)估计静默的质量中心方面大大优于现有的源定位算法。SilenceMap为可访问的早期诊断和持续监测人类皮质功能的改变的生理特性铺平了道路。Chamanzar等人。展示了一种名为“SilenceMap”的算法，只需几分钟的非侵入性头皮脑电(EEG)记录就可以快速检测和定位神经静默。SilenceMap在定位大脑皮质切除受试者沉默的准确性方面远远超过现有算法，表明它在监测皮质功能和健康方面具有潜在的用途。
A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric cortical resection patients, using fewer than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function. Chamanzar et al. demonstrate that an algorithm, ‘SilenceMap’, results in rapid detection and localization of neural silences using just a few minutes of noninvasive scalp electroencephalography (EEG) recording. SilenceMap vastly outperformed existing algorithms in accuracy of localizing silences in human participants with circumscribed cortical resections, indicating its potential use for the monitoring of cortical function and health.
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