Effects of Long-Term Meditation Practices on Sensorimotor Rhythm Based BCI Learning

作者: Xiyuan Jiang , Emily Lopez , James Stieger , Carol Greco , Bin He

DOI: 10.1101/2020.09.09.290080

关键词:

摘要: Abstract Sensorimotor rhythm (SMR) based brain-computer interfaces (BCIs) provide an alternative pathway for users to perform motor control using imagery (MI). Despite the non-invasiveness, ease of use and low cost, this kind BCI has limitation due long training times inefficiency— where a subpopulation cannot generate decodable EEG signals task. Meditation is mental method improve mindfulness awareness, reported have positive effect on one’s state. Here we investigate behavioral electrophysiological differences between experienced meditators meditation naive subjects in 1-dimensional 2-dimensional cursor tasks. We found that within who room improvement, outperformed both tasks, there were fewer insufficient meditator group. Finally, also explored neurophysiological difference two groups, showed had higher SMR predictor better able achieve control.

参考文章(44)
Jonathan R. Wolpaw, Brain–Computer Interfaces Handbook of Clinical Neurology. ,vol. 110, pp. 67- 74 ,(2013) , 10.1016/B978-0-444-52901-5.00006-X
Kaitlin Cassady, Albert You, Alex Doud, Bin He, The impact of mind-body awareness training on the early learning of a brain-computer interface TECHNOLOGY. ,vol. 2, pp. 254- 260 ,(2014) , 10.1142/S233954781450023X
Kai Keng Ang, Karen Sui Geok Chua, Kok Soon Phua, Chuanchu Wang, Zheng Yang Chin, Christopher Wee Keong Kuah, Wilson Low, Cuntai Guan, A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke. Clinical Eeg and Neuroscience. ,vol. 46, pp. 310- 320 ,(2015) , 10.1177/1550059414522229
G Schalk, J Kubánek, K J Miller, N R Anderson, E C Leuthardt, J G Ojemann, D Limbrick, D Moran, L A Gerhardt, J R Wolpaw, Decoding two-dimensional movement trajectories using electrocorticographic signals in humans. Journal of Neural Engineering. ,vol. 4, pp. 264- 275 ,(2007) , 10.1088/1741-2560/4/3/012
Dennis J McFarland, William A Sarnacki, Jonathan R Wolpaw, Electroencephalographic (EEG) control of three-dimensional movement. Journal of Neural Engineering. ,vol. 7, pp. 036007- 036007 ,(2010) , 10.1088/1741-2560/7/3/036007
Hovagim Bakardjian, Toshihisa Tanaka, Andrzej Cichocki, Optimization of SSVEP brain responses with application to eight-command Brain-Computer Interface. Neuroscience Letters. ,vol. 469, pp. 34- 38 ,(2010) , 10.1016/J.NEULET.2009.11.039
G. Pfurtscheller, C. Brunner, A. Schlögl, F.H. Lopes da Silva, Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks NeuroImage. ,vol. 31, pp. 153- 159 ,(2006) , 10.1016/J.NEUROIMAGE.2005.12.003
Edwin M. Maynard, Craig T. Nordhausen, Richard A. Normann, The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces Electroencephalography and Clinical Neurophysiology. ,vol. 102, pp. 228- 239 ,(1997) , 10.1016/S0013-4694(96)95176-0
Davina Chan, Marjorie Woollacott, Effects of level of meditation experience on attentional focus: is the efficiency of executive or orientation networks improved? Journal of Alternative and Complementary Medicine. ,vol. 13, pp. 651- 657 ,(2007) , 10.1089/ACM.2007.7022
Yi-Yuan Tang, Britta K. Hölzel, Michael I. Posner, The neuroscience of mindfulness meditation Nature Reviews Neuroscience. ,vol. 16, pp. 213- 225 ,(2015) , 10.1038/NRN3916