...
首页> 外文期刊>Journal of Neuroscience Methods >Nonlinear hemodynamic responses in human epilepsy: A multimodal analysis with fNIRS-EEG and fMRI-EEG
【24h】

Nonlinear hemodynamic responses in human epilepsy: A multimodal analysis with fNIRS-EEG and fMRI-EEG

机译:人类癫痫的非线性血液动力学反应:fNIRS-EEG和fMRI-EEG的多峰分析

获取原文
获取原文并翻译 | 示例
           

摘要

Functional magnetic resonance imaging (fMRI) combined with electroencephalography (fMRI-EEG) is a neuroimaging technique based on the blood oxygenation level dependent (BOLD) signal which has been shown to be useful in the study of epilepsy for the localization of the epileptogenic focus. Functional near-infrared spectroscopy (fNIRS) combined with EEG (fNIRS-EEG) is another imaging technique based on the measurement of oxygenated and deoxygenated hemoglobin with complementary clinical potential in epilepsy, for continuous patient monitoring, language lateralization, and focus localization. In this work fMRI-EEG and fNIRS-EEG are used to quantify nonlinear hemodynamic responses in three cases of human refractory focal epilepsy, by using the Volterra kernel expansion up to second order. Prior to analyzing real data, extensive simulations are carried out to show that nonlinearities are estimable. The Volterra methodology is then applied to multimodal data recorded from 3 epileptic patients selected for their frequent spiking activity. Care is taken to account for variability of hemodynamic responses due to other causes than Volterra nonlinearities. Statistically significant nonlinearities are observed for all patients and all modalities. Good concordance between fNIRS and fMRI is found for both the amplitude of the Volterra responses, and, with limitations, in the localization of the epileptic focus and regions of inverted responses (negative BOLD signals). In one patient, Volterra nonlinearities allowed epileptic focus identification with fMRI, while analyses without nonlinearities failed to see it. In simulations when nonlinearities were included, analysis without Volterra nonlinearities performed poorly. These two observations suggest routinely checking for nonlinearities in functional imaging of patients presenting with frequent spikes.
机译:功能磁共振成像(fMRI)与脑电图(fMRI-EEG)结合是一种基于血液氧合水平依赖性(BOLD)信号的神经成像技术,已被证明可用于癫痫研究中对癫痫病灶的定位。功能性近红外光谱(fNIRS)与EEG(fNIRS-EEG)的结合是另一种成像技术,其基于在癫痫中具有互补临床潜力的氧合和脱氧血红蛋白的测量,用于连续的患者监测,语言偏侧化和焦点定位。在这项工作中,fMRI-EEG和fNIRS-EEG被用于量化人类难治性局灶性癫痫的三种情况下的非线性血液动力学响应,方法是使用Volterra内核扩展至二阶。在分析实际数据之前,进行了广泛的仿真以显示非线性是可估计的。然后将Volterra方法学应用于从3名癫痫患者的频繁加标活动中选择的多模态数据。小心考虑由于Volterra非线性之外的其他原因引起的血液动力学反应的变异性。在所有患者和所有方式中均观察到统计学上显着的非线性。 fNIRS和fMRI在Volterra响应的幅度上以及局限性上在癫痫病灶的定位和反向响应的区域(负BOLD信号)中都发现了良好的一致性。在一名患者中,Volterra非线性可以通过fMRI识别癫痫病灶,而没有非线性的分析则无法发现。在包含非线性的仿真中,没有Volterra非线性的分析效果不佳。这两个观察结果建议例行检查经常出现峰值的患者的功能成像中是否存在非线性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号