Use of phase-locking value in sensorimotor rhythm-based brain–computer interface: zero-phase coupling and effects of spatial filters
暂无分享,去创建一个
[1] Xiaorong Gao,et al. Bipolar electrode selection for a motor imagery based brain–computer interface , 2008, Journal of neural engineering.
[2] Dean J. Krusienski,et al. Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interface , 2012, Brain Research Bulletin.
[3] M. Hallett,et al. Identifying true brain interaction from EEG data using the imaginary part of coherency , 2004, Clinical Neurophysiology.
[4] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[5] G. Pfurtscheller,et al. Dependence of coherence measurements on EEG derivation type , 1996, Medical and Biological Engineering and Computing.
[6] C. Tenke,et al. Surface Laplacians (SL) and phase properties of EEG rhythms: Simulated generators in a volume-conduction model. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[7] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[8] D. Halliday,et al. Volume conduction effects in brain network inference from electroencephalographic recordings using phase lag index , 2012, Journal of Neuroscience Methods.
[9] J R Wolpaw,et al. Spatial filter selection for EEG-based communication. , 1997, Electroencephalography and clinical neurophysiology.
[10] Olaf Sporns,et al. Mechanisms of Zero-Lag Synchronization in Cortical Motifs , 2013, PLoS Comput. Biol..
[11] E. V. Simpson,et al. Evaluation of an automatic cardiac activation detector for bipolar electrograms , 1993, Medical and Biological Engineering and Computing.
[12] J. Martinerie,et al. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony , 2001, Journal of Neuroscience Methods.
[13] Kristina Moll,et al. Letter-sound processing deficits in children with developmental dyslexia: An ERP study , 2016, Clinical Neurophysiology.
[14] Xiaorong Gao,et al. Design of electrode layout for motor imagery based brain--computer interface , 2007 .
[15] Clemens Brunner,et al. Online Control of a Brain-Computer Interface Using Phase Synchronization , 2006, IEEE Transactions on Biomedical Engineering.
[16] Stuart N Baker,et al. Cells in somatosensory areas show synchrony with beta oscillations in monkey motor cortex , 2007, The European journal of neuroscience.
[17] Dennis J. McFarland,et al. Design and operation of an EEG-based brain-computer interface with digital signal processing technology , 1997 .
[18] D. Tucker,et al. EEG coherency II: experimental comparisons of multiple measures , 1999, Clinical Neurophysiology.
[19] Gabriel Rilling,et al. Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.
[20] Dennis J McFarland,et al. The advantages of the surface Laplacian in brain-computer interface research. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[21] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[22] M. Hallett,et al. Event-related coherence and event-related desynchronization/synchronization in the 10 Hz and 20 Hz EEG during self-paced movements. , 1997, Electroencephalography and clinical neurophysiology.
[23] Yijun Wang,et al. Amplitude and phase coupling measures for feature extraction in an EEG-based brain–computer interface , 2007, Journal of neural engineering.
[24] G. Pfurtscheller,et al. On the existence of different alpha band rhythms in the hand area of man , 1997, Neuroscience Letters.
[25] Ole Jensen,et al. Posterior alpha oscillations reflect attentional problems in boys with Attention Deficit Hyperactivity Disorder , 2016, Clinical Neurophysiology.
[26] H. Lüders,et al. American Electroencephalographic Society Guidelines for Standard Electrode Position Nomenclature , 1991, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[27] Dean J. Krusienski,et al. A Method for Visualizing Independent Spatio-Temporal Patterns of Brain Activity , 2009, EURASIP J. Adv. Signal Process..
[28] G Pfurtscheller,et al. Event-related coherence as a tool for studying dynamic interaction of brain regions. , 1996, Electroencephalography and clinical neurophysiology.
[29] Pascal Fries,et al. Communication through coherence with inter-areal delays , 2015, Current Opinion in Neurobiology.
[30] A. C. Papanicolaou,et al. Modular Patterns of Phase Desynchronization Networks During a Simple Visuomotor Task , 2015, Brain Topography.
[31] Karl J. Friston,et al. Zero-lag synchronous dynamics in triplets of interconnected cortical areas , 2001, Neural Networks.
[32] G. Pfurtscheller,et al. Do changes in coherence always reflect changes in functional coupling? , 1998, Electroencephalography and clinical neurophysiology.
[33] Dennis J. McFarland,et al. Brain-computer interface (BCI) operation: signal and noise during early training sessions , 2005, Clinical Neurophysiology.
[34] Jonathan R Wolpaw,et al. EEG-Based Communication and Control: Speed–Accuracy Relationships , 2003, Applied psychophysiology and biofeedback.
[35] Dennis J. McFarland,et al. Electroencephalographic(EEG)-based communication: EEG control versus system performance in humans , 2003, Neuroscience Letters.
[36] Patrick Celka,et al. Statistical Analysis of the Phase-Locking Value , 2007, IEEE Signal Processing Letters.
[37] F. Varela,et al. Measuring phase synchrony in brain signals , 1999, Human brain mapping.
[38] Bernadette C. M. van Wijk,et al. On the Influence of Amplitude on the Connectivity between Phases , 2011, Front. Neuroinform..
[39] Yijun Wang,et al. Phase Synchrony Measurement in Motor Cortex for Classifying Single-trial EEG during Motor Imagery , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[40] G. Pfurtscheller,et al. Calculation of event-related coherence—A new method to study short-lasting coupling between brain areas , 2005, Brain Topography.
[41] D. Tucker,et al. EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. , 1997, Electroencephalography and clinical neurophysiology.
[42] C. Stam,et al. Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources , 2007, Human brain mapping.
[43] C. Tenke,et al. Generator localization by current source density (CSD): Implications of volume conduction and field closure at intracranial and scalp resolutions , 2012, Clinical Neurophysiology.
[44] Hongzhi Qi,et al. A novel technique for phase synchrony measurement from the complex motor imaginary potential of combined body and limb action , 2010, Journal of neural engineering.
[45] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[46] Louis A. Schmidt,et al. Regional electroencephalogram (EEG) spectral power and hemispheric coherence in young adults born at extremely low birth weight , 2009, Clinical Neurophysiology.
[47] Gabriel Curio,et al. It is not all about phase: Amplitude dynamics in corticomuscular interactions , 2013, NeuroImage.
[48] Bernhard Graimann,et al. Phase coupling between different motor areas during tongue-movement imagery , 2004, Neuroscience Letters.