Incorporating priors for EEG source imaging and connectivity analysis.
Incorporating priors for EEG source imaging and connectivity analysis.
复制标题
结合脑电图源成像和连接分析的先验
DOI：
10.3389/fnins.2015.00284
复制
发表时间：
2015
影响因子：
4.3
通讯作者：
Valdes-Sosa PA
中科院分区：
文献类型：
--
作者：
Lei X;Wu T;Valdes-Sosa PA
脑电源成像（Electroencephalography Source Imaging，ESI）是一种有效的头皮电测量源定位技术，可用于研究大规模神经回路的时间动力学。通过从其他模态中引入合理的先验信息，ESI揭示了每个时刻最可能的来源和通信结构。在这里，我们回顾了现有的先验技术，如磁共振成像（MRI），功能性磁共振成像（fMRI），正电子发射断层扫描（PET）。从源语重构的角度分析了情态的特殊贡献。对于空间先验，系统地介绍了脑电相关的功能磁共振成像，时间相干网络（TCN）和静息态功能磁共振成像。此外，纤维跟踪（扩散张量成像，DTI）和神经刺激技术（经颅磁刺激，TMS）也被引入作为潜在的先验，这可以帮助推断源空间中的神经电连接。我们的结论是，脑电源成像与其他互补的方式相结合，是一个很有前途的方法对认知和临床神经科学的大脑网络的研究。
Electroencephalography source imaging (ESI) is a useful technique to localize the generators from a given scalp electric measurement and to investigate the temporal dynamics of the large-scale neural circuits. By introducing reasonable priors from other modalities, ESI reveals the most probable sources and communication structures at every moment in time. Here, we review the available priors from such techniques as magnetic resonance imaging (MRI), functional MRI (fMRI), and positron emission tomography (PET). The modality's specific contribution is analyzed from the perspective of source reconstruction. For spatial priors, EEG-correlated fMRI, temporally coherent networks (TCNs) and resting-state fMRI are systematically introduced in the ESI. Moreover, the fiber tracking (diffusion tensor imaging, DTI) and neuro-stimulation techniques (transcranial magnetic stimulation, TMS) are also introduced as the potential priors, which can help to draw inferences about the neuroelectric connectivity in the source space. We conclude that combining EEG source imaging with other complementary modalities is a promising approach toward the study of brain networks in cognitive and clinical neurosciences.