Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy.
Using magnetic resonance fingerprinting to characterize periventricular nodular heterotopias in pharmacoresistant epilepsy.
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DOI：
10.1111/epi.17191
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发表时间：
2022-05
期刊：
影响因子：
5.6
通讯作者：
Wang, Zhong Irene
中科院分区：
文献类型：
--
作者：
Choi, Joon Yul;Krishnan, Balu;Hu, Siyuan;Martinez, David;Tang, Yinging;Wang, Xiaofeng;Sakaie, Ken;Jones, Stephen;Murakami, Hiroatsu;Bluemcke, Ingmar;Najm, Imad;Ma, Dan;Wang, Zhong Irene
关键词：
我们的目的是使用一种新的磁共振指纹（MRF）技术来检查在体的脑室周围结节性异位（PVNH）的组织特性的特点。这些特征进一步与立体定向脑电图（SEEG）发作发现相关。我们纳入了5例PVNH患者，他们接受了SEEG引导的手术，至少一年无癫痫发作或癫痫发作明显减少。在3 T下采集高分辨率MRF扫描，生成3D定量T1和T2图。我们评估了位于SEEG定义的SOZ和非SOZ的结节体素的T1和T2值之间的差异，在个体水平和组水平上。进行ROC分析以获得最佳分类性能。通过计算功率谱密度（PSD）对结节的SEEG发作信号进行定量。在不同频段进一步评估PSD与T1/T2值之间的相关性。个体水平分析显示，SOZ体素的T1显著高于非SOZ体素（p < 0.05），平均分类准确率为73%。组水平分析还显示，较高的T1与SOZ体素显著相关（p < 0.001）。在最佳截止值（归一化T1为1.1），SOZ结节与非SOZ结节的分类准确率达到76%。T1值与超慢波、θ波、β波、γ波和涟漪波的发作期PSD显著相关（p < 0.05）。T2值仅在超慢频段与PSD显着相关（p < 0.05）。定量MRF测量，特别是T1，可以提供额外的非侵入性信息，以区分SOZ和非SOZ中的结节。T1和T2组织性质的变化携带与癫痫相关的电生理学基础，如它们与SEEG发作期间的功率变化的显著相关性所示。MRF作为一种股骨非侵入性工具的使用可能会改善PVNH和耐药性癫痫患者的术前评估。
We aimed to use a novel magnetic resonance fingerprinting (MRF) technique to examine in vivo tissue property characteristics of periventricular nodular heterotopias (PVNHs). These characteristics were further correlated with stereotactic-EEG (SEEG) ictal onset findings. We included 5 patients with PVNH who had SEEG-guided surgery and at least one-year seizure freedom or substantial seizure reduction. High-resolution MRF scans were acquired at 3T, generating 3D quantitative T1 and T2 maps. We assessed the differences between T1 and T2 values from the voxels in the nodules located in the SEEG-defined SOZ and non-SOZ, on individual-level and group-level. ROC 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 T1/T2 values were further assessed at different frequency bands. Individual-level analysis showed T1 was significantly higher in SOZ voxels than non-SOZ voxels (p < 0.05), with an average 73% classification accuracy. Group-level analysis also showed higher T1 was significantly associated with SOZ voxels (p < 0.001). At the optimal cut-off (normalized T1 of 1.1), a 76% accuracy for classifying SOZ nodules from non-SOZ nodules was achieved. T1 values were significantly associated with ictal-onset PSD at the ultra-slow, θ, β, γ, and ripple bands (p < 0.05). T2 values were significantly associated with PSD only at the ultra-slow band (p < 0.05). Quantitative MRF measures, especially T1, can provide additional noninvasive information to separate nodules in SOZ and non-SOZ. The T1 and T2 tissue property changes carry electrophysiological underpinnings relevant to the epilepsy, as shown by their significant correlations with power changes during the SEEG seizure onset. The use of MRF as a fementary noninvasive tool may improve presurgical evaluation for patients with PVNH and pharmacoresistant epilepsy.
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