Detection of Intracranial Signatures of Interictal Epileptiform Discharges from Concurrent Scalp EEG
Detection of Intracranial Signatures of Interictal Epileptiform Discharges from Concurrent Scalp EEG
复制标题
从并发头皮脑电图检测发作间期癫痫样放电的颅内特征
DOI：
10.1142/s0129065716500167
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发表时间：
2016
影响因子：
8
通讯作者：
S. Sanei
中科院分区：
文献类型：
--
作者：
Loukianos Spyrou;D. Martín;A. Valentín;G. Alarcón;S. Sanei
发作间期癫痫样放电(IED)是癫痫患者大脑中发生的一过性神经电活动。从头皮脑电(SEEG)检查IED的一个问题是，对于癫痫患者的子集，在头皮上没有视觉上可识别的IED，使得上述过程无效，无论是出于检测目的还是算法评估。另一方面，与同时放置的头皮电极相比，内置式电极产生可见IED的几率要高得多。在这项工作中，我们利用了一组头皮可见脑电数量较少的颞叶癫痫(TLE)患者的头皮和颅内脑电(IEEG)。其目的是确定通过考虑来自iEEG的IED的定时信息，所产生的并发sEEG是否包含足够的信息以可靠地区分IED和非IED段。我们开发了一种自动检测算法，该算法以剔除受试者的方式进行测试，其中每个受试者的检测算法都是基于其他患者的数据。在对同一主题进行训练和测试时，该算法在从非IED片段中识别头皮IED时获得了[Formula：See Text]的准确率，并且具有[Formula：See Text]的准确率。此外，它还能够识别大多数患者头皮不可见的IED事件，假阳性检测的数量很少。我们的结果代表了一种概念的证明，即TLE患者的IED信息包含在头皮EEG中，即使它们是不可视识别的，而且被试之间IED拓扑和形状的差异足够小，以至于可以使用通用算法。
Interictal epileptiform discharges (IEDs) are transient neural electrical activities that occur in the brain of patients with epilepsy. A problem with the inspection of IEDs from the scalp electroencephalogram (sEEG) is that for a subset of epileptic patients, there are no visually discernible IEDs on the scalp, rendering the above procedures ineffective, both for detection purposes and algorithm evaluation. On the other hand, intracranially placed electrodes yield a much higher incidence of visible IEDs as compared to concurrent scalp electrodes. In this work, we utilize concurrent scalp and intracranial EEG (iEEG) from a group of temporal lobe epilepsy (TLE) patients with low number of scalp-visible IEDs. The aim is to determine whether by considering the timing information of the IEDs from iEEG, the resulting concurrent sEEG contains enough information for the IEDs to be reliably distinguished from non-IED segments. We develop an automatic detection algorithm which is tested in a leave-subject-out fashion, where each test subject's detection algorithm is based on the other patients' data. The algorithm obtained a [Formula: see text] accuracy in recognizing scalp IED from non-IED segments with [Formula: see text] accuracy when trained and tested on the same subject. Also, it was able to identify nonscalp-visible IED events for most patients with a low number of false positive detections. Our results represent a proof of concept that IED information for TLE patients is contained in scalp EEG even if they are not visually identifiable and also that between subject differences in the IED topology and shape are small enough such that a generic algorithm can be used.