Normative brain mapping using scalp EEG and potential clinical application.

Normative brain mapping using scalp EEG and potential clinical application.
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DOI:
10.1038/s41598-023-39700-7
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发表时间:
2023-08-18
期刊:
影响因子:
4.6
通讯作者:
Taylor, Peter N.
Taylor, Peter N.
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Janiukstyte, Vytene;Owen, Thomas W.;Chaudhary, Umair J.;Diehl, Beate;Lemieux, Louis;Duncan, John S.;de Tisi, Jane;Wang, Yujiang;Taylor, Peter N.

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一个规范的电图活动地图可能是一个强大的资源,以了解正常的大脑功能和识别异常活动。在这里,我们提出了一个规范的大脑地图使用头皮脑电图的相对频带功率。在这项探索性研究中,我们研究了它的时间稳定性,与其他成像方式的相似性,并探索潜在的临床应用。我们构建了头皮脑电图规范地图的大脑动力学从17个健康对照源本地化的静息状态头皮记录。然后,我们将这些地图与从MEG和颅内EEG获得的地图相关联,以研究它们的相似性。最后,我们使用的规范地图,以偏侧异常区域癫痫。频带功率的空间模式与以前的文献基本一致,并且在记录中保持稳定。头皮EEG规范图与α波段的其他模态最相似,并且在大多数波段之间相对相似。在癫痫的临床应用中,我们发现了致痫半球同侧的颞区异常。头皮EEG相对频带功率规范图在时间上是空间稳定的,与MEG和颅内EEG结果一致。规范映射是可行的,可能是潜在的临床有用的癫痫。未来的研究,更大的样本量和高密度脑电图,现在需要验证。
A normative electrographic activity map could be a powerful resource to understand normal brain function and identify abnormal activity. Here, we present a normative brain map using scalp EEG in terms of relative band power. In this exploratory study we investigate its temporal stability, its similarity to other imaging modalities, and explore a potential clinical application. We constructed scalp EEG normative maps of brain dynamics from 17 healthy controls using source-localised resting-state scalp recordings. We then correlated these maps with those acquired from MEG and intracranial EEG to investigate their similarity. Lastly, we use the normative maps to lateralise abnormal regions in epilepsy. Spatial patterns of band powers were broadly consistent with previous literature and stable across recordings. Scalp EEG normative maps were most similar to other modalities in the alpha band, and relatively similar across most bands. Towards a clinical application in epilepsy, we found abnormal temporal regions ipsilateral to the epileptogenic hemisphere. Scalp EEG relative band power normative maps are spatially stable across time, in keeping with MEG and intracranial EEG results. Normative mapping is feasible and may be potentially clinically useful in epilepsy. Future studies with larger sample sizes and high-density EEG are now required for validation.
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