Charles Shor Epilepsy Center, Cleveland Clinic, Neurological Institute, Cleveland, Ohio, USA.
Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
Epilepsia. 2022 May;63(5):1225-1237. doi: 10.1111/epi.17191. Epub 2022 Mar 28.
We aimed to use a novel magnetic resonance fingerprinting (MRF) technique to examine in vivo tissue property characteristics of periventricular nodular heterotopia (PVNH). These characteristics were further correlated with stereotactic-electroencephalographic (SEEG) ictal onset findings.
We included five patients with PVNH who had SEEG-guided surgery and at least 1 year of seizure freedom or substantial seizure reduction. High-resolution MRF scans were acquired at 3 T, generating three-dimensional quantitative T and T maps. We assessed the differences between T and T values from the voxels in the nodules located in the SEEG-defined seizure onset zone (SOZ) and non-SOZ, on -individual and group levels. Receiver operating characteristic analyses were performed to obtain the optimal classification performance. Quantification of SEEG ictal onset signals from the nodules was performed by calculating power spectrum density (PSD). The association between PSD and T /T values was further assessed at different frequency bands.
Individual-level analysis showed T was significantly higher in SOZ voxels than non-SOZ voxels (p < .05), with an average 73% classification accuracy. Group-level analysis also showed higher T was significantly associated with SOZ voxels (p < .001). At the optimal cutoff (normalized T of 1.1), a 76% accuracy for classifying SOZ nodules from non-SOZ nodules was achieved. T values were significantly associated with ictal onset PSD at the ultraslow, θ, β, γ, and ripple bands (p < .05). T values were significantly associated with PSD only at the ultraslow band (p < .05).
Quantitative MRF measures, especially T , can provide additional noninvasive information to separate nodules in SOZ and non-SOZ. The T and T tissue property changes carry electrophysiological underpinnings relevant to the epilepsy, as shown by their significant positive associations with power changes during the SEEG seizure onset. The use of MRF as a supplementary noninvasive tool may improve presurgical evaluation for patients with PVNH and pharmacoresistant epilepsy.
本研究旨在利用一种新的磁共振指纹识别(MRF)技术,检测脑室周围结节性异位(PVNH)的组织特性。这些特征进一步与立体定向脑电图(SEEG)发作起始相关联。
我们纳入了 5 名接受 SEEG 引导手术且术后至少 1 年无发作或发作明显减少的 PVNH 患者。在 3T 下采集高分辨率 MRF 扫描,生成三维定量 T1 和 T2 图。我们评估了位于 SEEG 定义的发作起始区(SOZ)和非 SOZ 结节内体素的 T1 和 T2 值之间的差异,分别在个体和组水平上进行。通过获得最佳分类性能的接受者操作特征分析来评估 T1 和 T2 值的诊断性能。通过计算功率谱密度(PSD)对来自结节的 SEEG 发作起始信号进行量化。进一步评估了不同频段下 PSD 与 T/T2 值之间的关联。
个体水平分析显示,SOZ 体素的 T1 值明显高于非 SOZ 体素(p<.05),平均分类准确率为 73%。组水平分析也显示,SOZ 体素与更高的 T1 值显著相关(p<.001)。在最佳截断值(归一化 T1 值为 1.1)时,SOZ 结节与非 SOZ 结节的分类准确率为 76%。T1 值与发作起始 PSD 在超慢、θ、β、γ 和波纹频段均显著相关(p<.05)。T1 值仅与超慢频段的 PSD 显著相关(p<.05)。
定量 MRF 测量,尤其是 T1 值,可以提供额外的无创信息,以区分 SOZ 和非 SOZ 中的结节。T1 和 T2 组织特性的变化与癫痫的电生理基础有关,这与 SEEG 发作起始时的功率变化有显著的正相关。将 MRF 作为一种补充的无创工具,可能会提高 PVNH 合并耐药性癫痫患者的术前评估。