Ntolkeras Georgios, Tamilia Eleonora, AlHilani Michel, Bolton Jeffrey, Ellen Grant P, Prabhu Sanjay P, Madsen Joseph R, Stufflebeam Steven M, Pearl Phillip L, Papadelis Christos
Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Laboratory of Children's Brain Dynamics, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA; Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Clin Neurophysiol. 2022 Sep;141:126-138. doi: 10.1016/j.clinph.2021.01.036. Epub 2021 Mar 26.
To assess the utility of interictal magnetic and electric source imaging (MSI and ESI) using dipole clustering in magnetic resonance imaging (MRI)-negative patients with drug resistant epilepsy (DRE).
We localized spikes in low-density (LD-EEG) and high-density (HD-EEG) electroencephalography as well as magnetoencephalography (MEG) recordings using dipoles from 11 pediatric patients. We computed each dipole's level of clustering and used it to discriminate between clustered and scattered dipoles. For each dipole, we computed the distance from seizure onset zone (SOZ) and irritative zone (IZ) defined by intracranial EEG. Finally, we assessed whether dipoles proximity to resection was predictive of outcome.
LD-EEG had lower clusterness compared to HD-EEG and MEG (p < 0.05). For all modalities, clustered dipoles showed higher proximity to SOZ and IZ than scattered (p < 0.001). Resection percentage was higher in optimal vs. suboptimal outcome patients (p < 0.001); their proximity to resection was correlated to outcome (p < 0.001). No difference in resection percentage was seen for scattered dipoles between groups.
MSI and ESI dipole clustering helps to localize the SOZ and IZ and facilitate the prognostic assessment of MRI-negative patients with DRE.
Assessing the MSI and ESI clustering allows recognizing epileptogenic areas whose removal is associated with optimal outcome.
评估在磁共振成像(MRI)阴性的耐药性癫痫(DRE)患者中使用偶极子聚类的发作间期磁源成像(MSI)和电源成像(ESI)的效用。
我们使用来自11名儿科患者的偶极子,在低密度脑电图(LD-EEG)、高密度脑电图(HD-EEG)以及脑磁图(MEG)记录中定位棘波。我们计算每个偶极子的聚类水平,并用它来区分聚类偶极子和分散偶极子。对于每个偶极子,我们计算其与颅内脑电图定义的癫痫发作起始区(SOZ)和激惹区(IZ)的距离。最后,我们评估偶极子与切除部位的接近程度是否可预测预后。
与HD-EEG和MEG相比,LD-EEG的聚类程度较低(p < 0.05)。对于所有模式,聚类偶极子显示出比分散偶极子更接近SOZ和IZ(p < 0.001)。最佳与次优预后患者的切除率更高(p < 0.001);它们与切除部位的接近程度与预后相关(p < 0.001)。两组之间分散偶极子的切除率没有差异。
MSI和ESI偶极子聚类有助于定位SOZ和IZ,并促进MRI阴性的DRE患者的预后评估。
评估MSI和ESI聚类可识别其切除与最佳预后相关的致痫区域。