Accessing and Processing MEG Signals in Real-Time: Emerging Applications and Enabling Technologies
暂无分享,去创建一个
Xin Li | Wei Wang | Jennifer L. Collinger | Douglas J. Weber | Stephen T. Foldes | Jinyin Zhang | Anto Bagic | Gustavo Sudre | D. Weber | J. Collinger | Wei Wang | A. Bagić | S. Foldes | Xin Li | G. Sudre | Jinyin Zhang
[1] J Gross,et al. REPRINTS , 1962, The Lancet.
[2] J. Wolpaw,et al. Decoding flexion of individual fingers using electrocorticographic signals in humans , 2009, Journal of neural engineering.
[3] Wei Wang,et al. Real-Time Robust Signal Space Separation for Magnetoencephalography , 2010, IEEE Transactions on Biomedical Engineering.
[4] Patrick Suppes,et al. Single-Trial Classification of MEG Recordings , 2007, IEEE Transactions on Biomedical Engineering.
[5] Hartmut Heinrich,et al. Annotation: neurofeedback - train your brain to train behaviour. , 2007, Journal of child psychology and psychiatry, and allied disciplines.
[6] R. Ilmoniemi,et al. Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain , 1993 .
[7] Ethan R. Buch,et al. Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke , 2008, Stroke.
[8] Wolfgang Rosenstiel,et al. An MEG-based brain–computer interface (BCI) , 2007, NeuroImage.
[9] Jonathan R Wolpaw,et al. Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.
[10] Amar R. Marathe,et al. Virtual reality hardware and graphic display options for brain–machine interfaces , 2008, Journal of Neuroscience Methods.
[11] S. Taulu,et al. Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements , 2006, Physics in medicine and biology.
[12] L R Hochberg,et al. Efficient Decoding With Steady-State Kalman Filter in Neural Interface Systems , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[13] J. Fermaglich. Electric Fields of the Brain: The Neurophysics of EEG , 1982 .
[14] W. Penfield,et al. SOMATIC MOTOR AND SENSORY REPRESENTATION IN THE CEREBRAL CORTEX OF MAN AS STUDIED BY ELECTRICAL STIMULATION , 1937 .
[15] H. Stefan,et al. Magnetoencephalography adds to the surgical evaluation process , 2011, Epilepsy & Behavior.
[16] Jennifer L. Collinger,et al. Craniux: A LabVIEW-Based Modular Software Framework for Brain-Machine Interface Research , 2011, Comput. Intell. Neurosci..
[17] Naoaki Tanaka,et al. Clinical applications of magnetoencephalography , 2009, Human brain mapping.
[18] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[19] Antti Korvenoja,et al. Sensorimotor cortex localization: comparison of magnetoencephalography, functional MR imaging, and intraoperative cortical mapping. , 2006, Radiology.
[20] R W Cox,et al. Real‐Time Functional Magnetic Resonance Imaging , 1995, Magnetic resonance in medicine.
[21] Janice J Eng,et al. Reorganization and preservation of motor control of the brain in spinal cord injury: a systematic review. , 2009, Journal of neurotrauma.
[22] J. Kounios,et al. EEG Neurofeedback: A Brief Overview and an Example of Peak Alpha Frequency Training for Cognitive Enhancement in the Elderly , 2007, The Clinical neuropsychologist.
[23] Andrew S. Whitford,et al. Cortical control of a prosthetic arm for self-feeding , 2008, Nature.
[24] S.M. Kay,et al. Spectrum analysis—A modern perspective , 1981, Proceedings of the IEEE.
[25] D J Weber,et al. Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[26] Wei Wang,et al. Stability of MEG for real-time neurofeedback , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[27] Robert T. Knight,et al. Five-dimensional neuroimaging: Localization of the time–frequency dynamics of cortical activity , 2008, NeuroImage.
[28] K. Chaloner,et al. Bayesian Experimental Design: A Review , 1995 .
[29] D. Barth,et al. MEG and ECoG localization accuracy test. , 1995, Electroencephalography and clinical neurophysiology.
[30] C D Tesche,et al. Signal-space projections of MEG data characterize both distributed and well-localized neuronal sources. , 1995, Electroencephalography and clinical neurophysiology.
[31] T. Egner,et al. Foundation and Practice of Neurofeedback for the Treatment of Epilepsy , 2006, Applied psychophysiology and biofeedback.
[32] R. Srinivasan,et al. Removal of ocular artifacts from EEG using an efficient neural network based adaptive filtering technique , 1999, IEEE Signal Processing Letters.
[33] R. Ward,et al. EMG and EOG artifacts in brain computer interface systems: A survey , 2007, Clinical Neurophysiology.
[34] D. Harrison,et al. Neurofeedback and epilepsy , 2002, Epilepsy & Behavior.
[35] Dawn M. Taylor,et al. Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.
[36] C. Braun,et al. Hand Movement Direction Decoded from MEG and EEG , 2008, The Journal of Neuroscience.
[37] Jon A. Mukand,et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.
[38] D.A. Heldman,et al. Local field potential spectral tuning in motor cortex during reaching , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[39] Karla Felix Navarro,et al. A Comprehensive Survey of Brain Interface Technology Designs , 2007, Annals of Biomedical Engineering.
[40] S. Taulu,et al. Applications of the signal space separation method , 2005, IEEE Transactions on Signal Processing.
[41] J. Loomis,et al. Interpersonal Distance in Immersive Virtual Environments , 2003, Personality & social psychology bulletin.
[42] Razvan V. Florian,et al. Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity , 2007, Neural Computation.
[43] Emilio Salinas,et al. Vector reconstruction from firing rates , 1994, Journal of Computational Neuroscience.
[44] C. Stam. Use of magnetoencephalography (MEG) to study functional brain networks in neurodegenerative disorders , 2010, Journal of the Neurological Sciences.
[45] R. Kass,et al. Decoding and cortical source localization for intended movement direction with MEG. , 2010, Journal of neurophysiology.
[46] Raul Coimbra,et al. Integrated imaging approach with MEG and DTI to detect mild traumatic brain injury in military and civilian patients. , 2009, Journal of neurotrauma.
[47] S I Helms Tillery,et al. Training in Cortical Control of Neuroprosthetic Devices Improves Signal Extraction from Small Neuronal Ensembles , 2003, Reviews in the neurosciences.
[48] James T. Becker,et al. Magnetoencephalography as a Putative Biomarker for Alzheimer's Disease , 2011, International journal of Alzheimer's disease.
[49] Alex I. Braginski,et al. The SQUID Handbook Vol II: Applications of SQUIDs and SQUID Systems , 2006 .
[50] Yelena Friedman. Navigating the World of Alternative Medicine , 2001 .
[51] Wei Wang,et al. rtMEG: A Real-Time Software Interface for Magnetoencephalography , 2011, Comput. Intell. Neurosci..
[52] R. Burgess,et al. Turning a New Page in Clinical Magnetoencephalography: Practicing According to the First Clinical Practice Guidelines , 2011, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[53] Robert Breaux,et al. Identification of metaphors for virtual environment training systems , 2003, Ergonomics.
[54] P. Friel,et al. EEG biofeedback in the treatment of attention deficit hyperactivity disorder. , 2007, Alternative medicine review : a journal of clinical therapeutic.
[55] Dennis C. Tkach,et al. Observation-based learning for brain–machine interfaces , 2008, Current Opinion in Neurobiology.
[56] David J. C. MacKay,et al. Information-Based Objective Functions for Active Data Selection , 1992, Neural Computation.
[57] J. Chae,et al. Early detection of hand movements from electroencephalograms for stroke therapy applications , 2011, Journal of neural engineering.
[58] S. Cooper. Donald O. Hebb's synapse and learning rule: a history and commentary , 2005, Neuroscience & Biobehavioral Reviews.
[59] M S Cohen,et al. Real-time functional magnetic resonance imaging. , 2001, Methods.
[60] Y. Dan,et al. Spike timing-dependent plasticity: a Hebbian learning rule. , 2008, Annual review of neuroscience.
[61] Jun Maruta,et al. A unified science of concussion , 2010, Annals of the New York Academy of Sciences.
[62] E. Robinson,et al. A historical perspective of spectrum estimation , 1982, Proceedings of the IEEE.
[63] Erkki Oja,et al. Independent component approach to the analysis of EEG and MEG recordings , 2000, IEEE Transactions on Biomedical Engineering.
[64] W. A. Sarnacki,et al. Electroencephalographic (EEG) control of three-dimensional movement , 2010, Journal of neural engineering.
[65] Sherwin S Chan,et al. Motor cortical representation of position and velocity during reaching. , 2007, Journal of neurophysiology.
[66] Anto Bagic,et al. American Clinical MEG Society (ACMEGS) position statement: the value of magnetoencephalography (MEG)/magnetic source imaging (MSI) in noninvasive presurgical evaluation of patients with medically intractable localization-related epilepsy. , 2009, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[67] J. Polich,et al. P300 and blink instructions , 2000, Clinical Neurophysiology.
[68] J. E. Zimmerman,et al. SQUID instruments and shielding for low‐level magnetic measurements , 1977 .
[69] D M Taylor,et al. Offline comparison of spatial filters for two-dimensional movement control with noninvasive field potentials. , 2011, Journal of neural engineering.
[70] Wei Wang,et al. Fully Automated Reduction of Ocular Artifacts in High-Dimensional Neural Data , 2011, IEEE Transactions on Biomedical Engineering.
[71] G. Wilson,et al. Removal of ocular artifacts from electro-encephalogram by adaptive filtering , 2004, Medical and Biological Engineering and Computing.
[72] Alex I. Braginski,et al. Fundamentals and technology of SQUIDs and SQUID systems , 2004 .
[73] Philip H. Mirvis. Flow: The Psychology of Optimal Experience , 1991 .
[74] Rabab K Ward,et al. A survey of signal processing algorithms in brain–computer interfaces based on electrical brain signals , 2007, Journal of neural engineering.
[75] Soo-Young Lee. Blind Source Separation and Independent Component Analysis: A Review , 2005 .
[76] Robert Oostenveld,et al. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data , 2010, Comput. Intell. Neurosci..
[77] P H Peckham,et al. Applications of cortical signals to neuroprosthetic control: a critical review. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[78] A. P. Georgopoulos,et al. Neuronal population coding of movement direction. , 1986, Science.
[79] R. DeCharms. Applications of real-time fMRI , 2008, Nature Reviews Neuroscience.
[80] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[81] Wei Wu,et al. Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter , 2006, Neural Computation.
[82] Gerwin Schalk,et al. A brain–computer interface using electrocorticographic signals in humans , 2004, Journal of neural engineering.
[83] J. Vrba,et al. Signal processing in magnetoencephalography. , 2001, Methods.
[84] A. T. Welford,et al. The fundamentals of skill , 1968 .
[85] Peter C. Hansen,et al. MEG. An introduction to methods , 2010 .
[86] M. Schieber,et al. How somatotopic is the motor cortex hand area? , 1993, Science.
[87] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[88] Rajesh P. N. Rao,et al. Spectral Changes in Cortical Surface Potentials during Motor Movement , 2007, The Journal of Neuroscience.
[89] A. Georgopoulos,et al. Magnetoencephalographic signals predict movement trajectory in space , 2005, Experimental Brain Research.
[90] Lisa Blaskey,et al. MEG detection of delayed auditory evoked responses in autism spectrum disorders: towards an imaging biomarker for autism , 2010, Autism research : official journal of the International Society for Autism Research.
[91] Matthew J. Brookes,et al. A general linear model for MEG beamformer imaging , 2004, NeuroImage.
[92] D. McFarland,et al. An auditory brain–computer interface (BCI) , 2008, Journal of Neuroscience Methods.
[93] Seungjin Choi. Blind Source Separation and Independent Component Analysis : A Review , 2004 .
[94] Erkki Oja,et al. Independent component analysis: algorithms and applications , 2000, Neural Networks.
[95] Monica A. Perez,et al. Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity. , 2010, Physical medicine and rehabilitation clinics of North America.
[96] R. Ilmoniemi,et al. Signal-space projection method for separating MEG or EEG into components , 1997, Medical and Biological Engineering and Computing.
[97] Timothy P.L. Roberts,et al. Auditory Magnetic Mismatch Field Latency: A Biomarker for Language Impairment in Autism , 2011, Biological Psychiatry.
[98] Kip A Ludwig,et al. Naïve coadaptive cortical control , 2005, Journal of neural engineering.
[99] S. Cramer,et al. Brain motor system function after chronic, complete spinal cord injury. , 2005, Brain : a journal of neurology.
[100] R. Ilmoniemi,et al. Design, construction, and performance of a large-volume magnetic shield , 1982 .