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High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients

机译:切除区域内的高层间连接性与局灶性癫痫患者的良好手术后预后相关

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摘要

Patients with drug-resistant focal epilepsy are often candidates for invasive surgical therapies. In these patients, it is necessary to accurately localize seizure generators to ensure seizure freedom following intervention. While intracranial electroencephalography (iEEG) is the gold standard for mapping networks for surgery, this approach requires inducing and recording seizures, which may cause patient morbidity. The goal of this study is to evaluate the utility of mapping interictal (non-seizure) iEEG networks to identify targets for surgical treatment. We analyze interictal iEEG recordings and neuroimaging from 27 focal epilepsy patients treated via surgical resection. We generate interictal functional networks by calculating pairwise correlation of iEEG signals across different frequency bands. Using image coregistration and segmentation, we identify electrodes falling within surgically resected tissue (i.e. the resection zone), and compute node-level and edge-level synchrony in relation to the resection zone. We further associate these metrics with post-surgical outcomes. Greater overlap between resected electrodes and highly synchronous electrodes is associated with favorable post-surgical outcomes. Additionally, good-outcome patients have significantly higher connectivity localized within the resection zone compared to those with poorer postoperative seizure control. This finding persists following normalization by a spatially-constrained null model. This study suggests that spatially-informed interictal network synchrony measures can distinguish between good and poor post-surgical outcomes. By capturing clinically-relevant information during interictal periods, our method may ultimately reduce the need for prolonged invasive implants and provide insights into the pathophysiology of an epileptic brain. We discuss next steps for translating these findings into a prospectively useful clinical tool.
机译:耐药性局灶性癫痫患者通常是侵入性外科治疗的候选人。在这些患者中,有必要准确定位癫痫发作的发生部位,以确保干预后癫痫发作的自由度。颅内脑电图(iEEG)是用于手术映射网络的金标准,但这种方法需要诱发和记录癫痫发作,这可能会导致患者发病。这项研究的目的是评估映射间质性(非癫痫发作)iEEG网络以确定手术治疗目标的实用性。我们分析了27例通过手术切除治疗的局灶性癫痫患者的发作间期iEEG记录和神经影像学检查。我们通过计算不同频带上的iEEG信号的成对相关性来生成层间功能网络。使用图像配准和分割,我们确定落入手术切除组织(即切除区域)内的电极,并计算与切除区域有关的节点级和边缘级同步性。我们进一步将这些指标与术后结果联系起来。切除的电极和高度同步的电极之间的更大重叠与良好的手术后效果相关。此外,与术后癫痫发作控制较差的患者相比,好结果的患者在切除区内的连接性明显更高。通过空间受限的空模型进行归一化后,这一发现仍然存在。这项研究表明,空间知情的间隙网络同步措施可以区分手术后结果的好坏。通过在发作期捕获与临床相关的信息,我们的方法最终可以减少对长期浸润性植入物的需求,并为癫痫脑的病理生理学提供见识。我们讨论了将这些发现转化为潜在有用的临床工具的后续步骤。

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