论文标题
静止状态-FMRI的方法来理解MTLE中的损害
Resting state-fMRI approach towards understanding impairments in mTLE
论文作者
论文摘要
介体颞叶癫痫（mtle）是癫痫的最常见形式。虽然它的特征是在肠内叶叶中的癫痫发作焦点，但越来越多地理解为网络障碍。因此，了解网络水平上的损害的性质对于其诊断和治疗至关重要。在这项工作中，我们回顾了应用静止状态功能性MRI的最新作品，以提供对MTLE功能架构损害的关键见解。我们讨论了区域和全球量表的变化。最后，我们描述了如何将机器学习应用于RS-FMRI数据，以提取特有MTLE和自动诊断该疾病的静息状态网络。
Mesial temporal lobe epilepsy (mTLE) is the most common form of epilepsy. While it is characterized by an epileptogenic focus in the mesial temporal lobe, it is increasingly understood as a network disorder. Hence, understanding the nature of impairments on a network level is essential for its diagnosis and treatment. In this work, we review recent works that apply resting-state functional MRI to provide key insights into the impairments to the functional architecture in mTLE. We discuss changes on both regional and global scales. Finally, we describe how Machine Learning can be applied to rs-fMRI data to extract resting-state networks specific to mTLE and for automated diagnosis of this disease.
