基于SEEG动态曲谱的尖源定位在不同大脑区域和病因学上是有用的
Takumi Mitsuhashi1, Hiroharu Suzuki1, Kazuki Nishioka1
1Department of Neurosurgery, Juntendo University, Tokyo, 1138421, Japan; Epilepsy Center, Juntendo Hospital, Tokyo, 1130033, Japan.
使用SEEG的动态通道图成功地局部化了尖的来源. 对这些估计的尖端来源 (ESS) 的更大切除与更好的发作结果相关,特别是在单方面病例中.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 发病学 (Epileptology) 是一个专业的学科.
背景情况:
- 立体电脑摄影 (SEEG) 对于定位抗药性的发性区域至关重要.
- 精确地定位尖源对于手术规划和改善患者结果至关重要.
- 目前用于源定位的方法在捕获发性网络的全部范围方面存在局限性.
研究的目的:
- 为了适应SEEG的动态通道学,以确定尖的来源.
- 调查估计尖峰源 (ESS) 的切除与术后控制之间的关系.
- 评估ESS切除作为发性区域生物标记物的有用性.
主要方法:
- 24名患有耐药焦点的患者接受了SEEG,随后进行了手术.
- 动态曲谱分析了间断尖峰,识别了尖峰传播地点和估计尖峰来源 (ESS).
- 计算了ESS切除率,并分析了它与结局 (ILAE类) 和切除体积的相关性.
主要成果:
- 在单边病例中,较高的ESS切除比率与更好的发作结果显著相关 (ρ = -0.51,p = 0.033).
- 动态曲谱学有效地可视化了沿白物质路径的尖峰传播,中位速度为0.99mm/ms.
- 中位数ESS切除率为75.0%,表明已确定来源的大量切除.
结论:
- SEEG动态曲谱学准确地定位尖峰源并可视化它们的传播,扩展到超出电极覆盖范围.
- 移除ESS的程度是有利的外科手术结果的重要预测指标,特别是在单侧中.
- 这种技术显示出作为生物标志物的承诺,用于定义发性区域并指导手术.
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