Segovia-Oropeza Marysol, Rauf Erik Hans Ulrich, Heide Ev-Christin, Focke Niels K
Clinic of Neurology, University Medical Center Göttingen, Göttingen, Germany.
University of Göttingen, Göttingen, Germany.
Epilepsia Open. 2025 Apr;10(2):427-440. doi: 10.1002/epi4.13128. Epub 2025 Mar 4.
Diagnosing epilepsy after a first unprovoked seizure in the absence of visible epileptogenic lesions and interictal epileptiform discharges (IED) in the electroencephalogram (EEG) is challenging. Quantitative EEG analysis and functional connectivity (FC) have shown promise in identifying patterns across epilepsy syndromes. Hence, we retrospectively investigated whether there were differences in FC (imaginary part of coherency) and spectral band power in non-lesional, IED-free, unmedicated patients after a first unprovoked seizure in contrast to controls. Further, we investigated if there were differences between the patients who developed epilepsy and those who remained with a single seizure for at least 6 months after the first seizure.
We used 240 s of resting-state EEG (19 channels) recordings of patients (n = 41) after a first unprovoked seizure and age and sex-matched healthy controls (n = 46). Twenty-one patients developed epilepsy (epilepsy group), while 20 had no further seizures during follow-up (single-seizure group). We computed source-reconstructed power and FC in five frequency bands (1 ± 29 Hz). Group differences were assessed using permutation analysis of linear models.
Patients who developed epilepsy showed increased theta power and FC, increased delta power, and decreased delta FC compared to healthy controls. The single-seizure group exhibited reduced beta-1 FC relative to the control group. In comparison with the single-seizure group, patients with epilepsy demonstrated elevated delta and theta power and decreased delta FC.
Source-reconstructed data from routine EEGs identified distinct network patterns between non-lesional, IED-free, unmedicated patients who developed epilepsy and those who remained with a single seizure. Increased delta and theta power, along with decreased delta FC, could be a potential epilepsy biomarker. Further, decreases in beta-1 FC after a single seizure may point toward a protective mechanism for patients without further seizures.
After a first seizure, some people develop epilepsy, while others do not. We looked at brain activity in people who had a seizure but showed no clear signs of epilepsy. By comparing those who later developed epilepsy to those who did not, we found that certain slow brain wave patterns (delta and theta) might indicate a higher risk of developing epilepsy. This could help doctors identify high-risk patients sooner.
在首次无诱因发作后,在脑电图(EEG)中没有可见的致痫性病变和发作间期癫痫样放电(IED)的情况下诊断癫痫具有挑战性。定量脑电图分析和功能连接(FC)在识别不同癫痫综合征的模式方面显示出前景。因此,我们进行了回顾性研究,以调查首次无诱因发作后无病变、无IED、未用药的患者与对照组相比,在FC(相干性的虚部)和频谱带功率方面是否存在差异。此外,我们还研究了首次发作后发展为癫痫的患者与那些至少6个月内仅有一次发作的患者之间是否存在差异。
我们使用了首次无诱因发作后的患者(n = 41)以及年龄和性别匹配的健康对照者(n = 46)的240秒静息态EEG(19通道)记录。21名患者发展为癫痫(癫痫组),而20名患者在随访期间没有进一步发作(单次发作组)。我们计算了五个频带(1±29 Hz)的源重建功率和FC。使用线性模型的置换分析评估组间差异。
与健康对照相比,发展为癫痫的患者表现出θ功率和FC增加、δ功率增加以及δ FC降低。单次发作组相对于对照组表现出β-1 FC降低。与单次发作组相比,癫痫患者表现出δ和θ功率升高以及δ FC降低。
常规EEG的源重建数据确定了无病变、无IED、未用药且发展为癫痫的患者与仅有一次发作的患者之间不同的网络模式。δ和θ功率增加以及δ FC降低可能是潜在的癫痫生物标志物。此外,单次发作后β-1 FC降低可能表明无进一步发作的患者存在一种保护机制。
首次发作后,一些人会发展为癫痫,而另一些人则不会。我们观察了有发作但没有明显癫痫迹象的人的大脑活动。通过将后来发展为癫痫的人与未发展为癫痫的人进行比较,我们发现某些缓慢的脑电波模式(δ和θ)可能表明发展为癫痫的风险更高。这有助于医生更早地识别高危患者。