［1］Wolpaw JR, Birbaumer N, McFarland J, et al. Braincomputer interfaces for communication and control ［J］. Clin Neurophysiol, 2002, 113(6):767-791.
［2］Vaughan TM, McFarland DJ, Schalk G, et al. The wadsworth BCI research and development program: at home with BCI ［J］. IEEE Trans Neural Syst Rehabil Eng, 2006, 14(2): 299-233.
［3］Leuthardt EC, Schalk G, Wolpaw JR, et al. A braincomputer interface using electrocorticographic signals in humans ［J］. J Neural Eng, 2004, 1(2): 63-71.
［4］Kennedy PR, Bakay RA, Moore MM, et al. Direct control of a computer from the human central nervous system ［J］. IEEE Trans Rehabil Eng, 2000, 8(2): 198-202.
［5］Kennedy PR, Bakay RA. Restoration of neural output from a paralyzed patient by a direct brain connection ［J］. Neuroreport, 1998, 9(8): 1707-1711.
［6］Wessberg J, Stambaugh CR, Kralik JD, et al. Realtime prediction of hand trajectory by ensembles of cortical neurons in primates ［J］. Nature, 2000, 408(6810): 367-371.［7］Pfurtscheller G, Muller GR, Pfurtscheller J, et al. ‘Thought’control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia ［J］. Neuroscience Letters, 2003, 351(1): 33-36.
［8］Daly JJ, Wolpaw JR. Braincomputer interfaces in neurological rehabilitation ［J］. Lancet Neurol, 2008, 7(11): 1032-1043.
［9］刘小燮, 毕胜, 高小榕. 基于运动想象的脑机交互康复训练新技术对脑卒中大脑可塑性影响 ［J］.中国康复医学杂志, 2013, 28(2): 97-102.
［10］Shahid S, Sinha R, Prasad G. Mu and beta rhythm modulations in motor imagery related poststroke EEG: a study under BCI framework for poststroke rehabilitation ［J］. BMC Neuroscience, 2010, 11(1): 127-128.
［11］Pan Yaozhang, Goh Q, Ge S, et al. Mind robotic rehabilitation based on motor imagery brain computer interface ［C/CD］//International Conference on Social Robotics. Singapore: ION, 2010: 161-171.
［12］Ang K, Guan C, Chua K, et al. Clinical study of neurorehabilitation in stroke using EEGbased motor imagery braincomputer interface with robotic feedback ［C］//Proceedings of IEEE EMBS. Buenos Aires: IEEE, 2010: 5529-5552.
［13］Fei Meng, Tong Kaiyu, Chan Suktak, et al. BCIFES training system design and implementation for rehabilitation of stroke patients ［C/CD］//Proceedings of the International Joint Conference on Neural Networks. Hong Kong: ION, 2008: 4103-4106.
［14］李明芬, 贾杰, 刘烨. 基于运动想象的脑机接口康复训练对脑卒中患者上肢运动功能改善的认知机制研究 ［J］. 成都医学院学报, 2012, 7(4): 519-523.
［15］Schnitzler A, Gross J. Normal and pathological oscillatory communication in the brain ［J］. Nature Reviews Neuroscience, 2005, 6(4): 285-296.
［16］Sporns O, Chialvo DR, Kaiser M, et al. Organization, development and function of complex brain networks ［J］. Trends in Cognitive Sciences, 2004, 8(9): 418-425.
［17］Muller-Gerking J, Pfurtscheller G, Flyvbjerg H. Designing optimal spatial filters for singletrial EEG classification in a movement task ［J］. Clin Neurophysiol, 1999, 110(5): 787-798.
［18］Ramoser H, Gerking JM, Pfurtscheller G. Optimal spatial filtering of single trial EEG during imagined hand movement ［J］. IEEE Trans Rehabil Eng, 2000, 8(4): 441-446.
［19］Yan Zheng, Gao Xiaorong. Functional connectivity analysis of steadystate visual evoked potentials ［J］. Neuroscience Letters, 2011, 499(3): 199-203.
［20］闫铮，高小榕，应俊. 基于认知功能连接的信息流增益计算方法及应用 ［J］.电子与信息学报, 2014, 36(11): 2756-2761.
［21］Franaszczuk P, Blinowska K, Kowalcayk M. The application of parametric multichannel spectral estimates in the study of electrical brain activity ［J］. Biological Cybernetics, 1985, 51(4): 239-247.
［22］Kaminski M, Blinowska K. A new method of the description of the information flow in the brain structures ［J］. Biological Cybernetics, 1991, 37(3): 203-210.
［23］缪鸿石. 中枢神经系统(CNS)损伤后功能恢复的理论(一) ［J］. 中国康复理论与实践，1995, 1(1): 1-4.