Astolfi L, Cincotti F, Mattia D, De Vico Fallani F, Salinari S, Marciani M G, Witte H, Babiloni F
Department of Computer Science of the University of Rome, La Sapienza, Rome, Italy.
Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:2208-11. doi: 10.1109/IEMBS.2009.5334878.
In this study we estimated time-varying cortical connectivity patterns from a group of Spinal Cord Injured (SCI) patients during the attempt to move a paralyzed limb. These data were compared with the time-varying connectivity patterns estimated in a control group during the real execution of the movement by using time-varying Partial Directed Coherence. Connectivity was estimated from high resolution EEG recordings with the use of realistic head modelling and the linear inverse estimation of the cortical activity in a series of Regions of Interest of the cortex (ROIs). The experimental evidences obtained support the conclusion that the SCI population involved a larger cortical network than those generated by the healthy subjects during the task performance. Such network differs for the involvement of the parietal cortices, which increases in strength near to the movement imagination onset for the SCI when compared to the normal population. Such details about the temporal evolution of the connectivity patterns cannot be obtained with the application of the standard estimators of connectivity.
在本研究中,我们估计了一组脊髓损伤(SCI)患者在试图移动瘫痪肢体时随时间变化的皮质连接模式。通过使用时变偏相干分析,将这些数据与对照组在实际执行运动时估计的随时间变化的连接模式进行比较。连接性是通过高分辨率脑电图记录,利用逼真的头部模型和皮质一系列感兴趣区域(ROIs)中皮质活动的线性逆估计来估计的。获得的实验证据支持以下结论:与健康受试者在任务执行过程中产生的网络相比,SCI患者群体涉及更大的皮质网络。这种网络因顶叶皮质的参与而有所不同,与正常人群相比,SCI患者在接近运动想象开始时,顶叶皮质的参与强度增加。连接模式时间演变的此类细节无法通过应用标准连接性估计器获得。