De Vico Fallani F, Astolfi L, Cincotti F, Mattia D, Maglione A G, Vecchiato G, Toppi J, Della Penna F, Salinari S, Babiloni F, Zouridakis G
Dept. of Human Physiology Univ. of Rome "Sapienza", Italy.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:1738-41. doi: 10.1109/IEMBS.2010.5626710.
The evaluation of the topological properties of brain networks is an emergent research topic, since the estimated cerebral connectivity patterns often have relatively large size and complex structure. Since a graph is a mathematical representation of a network, the use of a theoretical graph approach would describe concisely the topological features of the functional brain connectivity network estimated using neuroimaging techniques. In the present study, we analyze the changes in brain synchronization networks using high-resolution EEG signals obtained during performance of a complex goal-directed visuomotor task. Our results show that the cortical network is more stable when subjects reach the goal than when they fail by hitting an obstacle. These findings suggest the presence of a possible cerebral "marker" for motor actions that result in successful reaching of a target.
脑网络拓扑特性的评估是一个新兴的研究课题，因为估计的大脑连接模式通常具有相对较大的规模和复杂的结构。由于图是网络的数学表示，使用理论图方法将简洁地描述使用神经成像技术估计的功能性脑连接网络的拓扑特征。在本研究中，我们使用在执行复杂的目标导向视觉运动任务期间获得的高分辨率脑电图信号来分析脑同步网络的变化。我们的结果表明，当受试者达到目标时，皮层网络比撞到障碍物而失败时更稳定。这些发现表明，可能存在一种针对导致成功达到目标的运动动作的大脑“标记”。
