Estimating a neutral reference for electroencephalographic recordings: the importance of using a high-density montage and a realistic head model
暂无分享,去创建一个
Dante Mantini | Nicole Wenderoth | Quanying Liu | Joshua H Balsters | Marc Baechinger | Onno van der Groen | N. Wenderoth | D. Mantini | J. Balsters | Quanying Liu | Marcello Baechinger | Onno van der Groen
[1] R. O’Connell,et al. A simultaneous ERP/fMRI investigation of the P300 aging effect , 2012, Neurobiology of Aging.
[2] John J. Foxe,et al. Crossmodal binding through neural coherence: implications for multisensory processing , 2008, Trends in Neurosciences.
[3] T. Sejnowski,et al. Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.
[4] C Tomberg,et al. Inadequacy of the average reference for the topographic mapping of focal enhancements of brain potentials. , 1990, Electroencephalography and clinical neurophysiology.
[5] Gian Luca Romani,et al. Improving MEG source localizations: An automated method for complete artifact removal based on independent component analysis , 2008, NeuroImage.
[6] Liang Wang,et al. Default mode network as revealed with multiple methods for resting-state functional MRI analysis , 2008, Journal of Neuroscience Methods.
[7] M. Czisch,et al. Development of the brain's default mode network from wakefulness to slow wave sleep. , 2011, Cerebral cortex.
[8] Enzo Tagliazucchi,et al. Dynamic BOLD functional connectivity in humans and its electrophysiological correlates , 2012, Front. Hum. Neurosci..
[9] M. Murray,et al. EEG source imaging , 2004, Clinical Neurophysiology.
[10] Abraham Z. Snyder,et al. Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure , 2013, NeuroImage.
[11] Li Wang,et al. The effect of reference choices on the spatio-temporal analysis of brain evoked potentials: The use of infinite reference , 2007, Comput. Biol. Medicine.
[12] L. Miller,et al. Optimal spacing of surface electrode arrays for brain–machine interface applications , 2010, Journal of neural engineering.
[13] P. Brown,et al. Event-related beta desynchronization in human subthalamic nucleus correlates with motor performance. , 2004, Brain : a journal of neurology.
[14] I. Fried,et al. Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex , 2008, Nature Neuroscience.
[15] Erich Schröger,et al. Digital filter design for electrophysiological data – a practical approach , 2015, Journal of Neuroscience Methods.
[16] Lei Ding,et al. Reconstructing Large-Scale Brain Resting-State Networks from High-Resolution EEG: Spatial and Temporal Comparisons with fMRI , 2016, Brain Connect..
[17] G. Ermentrout,et al. Gamma rhythms and beta rhythms have different synchronization properties. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[18] Lüder Deecke,et al. Brain potential changes in voluntary and passive movements in humans: readiness potential and reafferent potentials , 2016, Pflügers Archiv - European Journal of Physiology.
[19] A. Kleinschmidt,et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[20] Dante Mantini,et al. Optimal Re-referencing Strategy for the Detection of P300 Sources from High-density EEG , 2014 .
[21] J. Lurito,et al. Correlations in Low-Frequency BOLD Fluctuations Reflect Cortico-Cortical Connections , 2000, NeuroImage.
[22] Bart Vanrumste,et al. Review on solving the forward problem in EEG source analysis , 2007, Journal of NeuroEngineering and Rehabilitation.
[23] Determination of observer-rated alpha activity during sleep. , 1995, Sleep.
[24] M. Raichle,et al. Rat brains also have a default mode network , 2012, Proceedings of the National Academy of Sciences.
[25] F. Perrin,et al. Mapping of scalp potentials by surface spline interpolation. , 1987, Electroencephalography and clinical neurophysiology.
[26] Jean Gotman,et al. The influence of electrode location errors on EEG dipole source localization with a realistic head model , 2001, Clinical Neurophysiology.
[27] Bin Hu,et al. Nonlinear dynamic analysis of resting EEG alpha activity for heroin addicts , 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
[28] S. Kochen,et al. Approximate average head models for EEG source imaging , 2009, Journal of Neuroscience Methods.
[29] Rodrigo M. Braga,et al. Echoes of the Brain within the Posterior Cingulate Cortex , 2012, The Journal of Neuroscience.
[30] A. Schnider,et al. Neurofeedback training of alpha-band coherence enhances motor performance , 2015, Clinical Neurophysiology.
[31] Bin Hu,et al. User-centered depression prevention: An EEG approach to pervasive healthcare , 2011, 2011 5th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.
[32] Andrzej Cichocki,et al. Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis , 2002, Biological Cybernetics.
[33] Arne D. Ekstrom,et al. Frequency–specific network connectivity increases underlie accurate spatiotemporal memory retrieval , 2013, Nature Neuroscience.
[34] Rolf Verleger,et al. Lateralized EEG components with direction information for the preparation of saccades versus finger movements , 2000, Experimental Brain Research.
[35] Xavier Tricoche,et al. Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modeling , 2006, NeuroImage.
[36] Á. Pascual-Leone,et al. Noninvasive human brain stimulation. , 2007, Annual review of biomedical engineering.
[37] Dezhong Yao,et al. A study on the reference electrode standardization technique for a realistic head model , 2004, Comput. Methods Programs Biomed..
[38] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[39] Jing Li,et al. Effects of holes on EEG forward solutions using a realistic geometry head model , 2007, Journal of neural engineering.
[40] Yanda Li,et al. Automatic removal of the eye blink artifact from EEG using an ICA-based template matching approach , 2006, Physiological measurement.
[41] T W Picton,et al. The P300 Wave of the Human Event‐Related Potential , 1992, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[42] Cornelis J. Stam,et al. Investigation of resting-state EEG functional connectivity in frontotemporal lobar degeneration , 2008, Clinical Neurophysiology.
[43] Dante Mantini,et al. Emerging Roles of the Brain’s Default Network , 2013, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[44] W. Sutherling,et al. Conductivities of Three-Layer Live Human Skull , 2004, Brain Topography.
[45] Tzyy-Ping Jung,et al. Independent Component Analysis of Electroencephalographic Data , 1995, NIPS.
[46] P. Valdés-Sosa,et al. Detection of event related potentials. , 1989, The International journal of neuroscience.
[47] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[48] János Horváth,et al. Attenuation of auditory ERPs to action-sound coincidences is not explained by voluntary allocation of attention. , 2013, Psychophysiology.
[49] Maurizio Corbetta,et al. Large-scale brain networks account for sustained and transient activity during target detection , 2009, NeuroImage.
[50] J. Sarvas. Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. , 1987, Physics in medicine and biology.
[51] D.B. Geselowitz,et al. The zero of potential , 1998, IEEE Engineering in Medicine and Biology Magazine.
[52] Alan C. Evans,et al. Enhancement of MR Images Using Registration for Signal Averaging , 1998, Journal of Computer Assisted Tomography.
[53] Joseph Dien,et al. Issues in the application of the average reference: Review, critiques, and recommendations , 1998 .
[54] G. Fink,et al. Dorsal and Ventral Attention Systems : Distinct Neural Circuits but Collaborative Roles , 2013 .
[55] S. Makeig,et al. Improved EEG source analysis using low‐resolution conductivity estimation in a four‐compartment finite element head model , 2009, Human brain mapping.
[56] Jaakko Malmivuo,et al. Effect of electrode density and measurement noise on the spatial resolution of cortical potential distribution , 2004, IEEE Transactions on Biomedical Engineering.
[57] Helmut Laufs,et al. Endogenous brain oscillations and related networks detected by surface EEG‐combined fMRI , 2008, Human brain mapping.
[58] G. Orban,et al. Default Mode of Brain Function in Monkeys , 2011, The Journal of Neuroscience.
[59] E. Halgren,et al. Cancellation of EEG and MEG signals generated by extended and distributed sources , 2009, Human brain mapping.
[60] Richard Coppola,et al. Group differences in MEG-ICA derived resting state networks: Application to major depressive disorder , 2015, NeuroImage.
[61] Seppo P. Ahlfors,et al. Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates , 2006, NeuroImage.
[62] E. Somersalo,et al. Visualization of Magnetoencephalographic Data Using Minimum Current Estimates , 1999, NeuroImage.
[63] 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.
[64] Barbara F. Händel,et al. Cortical representations of confidence in a visual perceptual decision , 2014, Nature Communications.
[65] 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.
[66] D. Lehmann,et al. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. , 1994, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[67] M. Corbetta,et al. Common Blood Flow Changes across Visual Tasks: II. Decreases in Cerebral Cortex , 1997, Journal of Cognitive Neuroscience.
[68] C. Stam,et al. Heritability of “small‐world” networks in the brain: A graph theoretical analysis of resting‐state EEG functional connectivity , 2008, Human brain mapping.
[69] Christoph M. Michel,et al. Towards the utilization of EEG as a brain imaging tool , 2012, NeuroImage.
[70] David Poeppel,et al. Performance of an MEG adaptive-beamformer technique in the presence of correlated neural activities: effects on signal intensity and time-course estimates , 2002, IEEE Transactions on Biomedical Engineering.
[71] Roberto D. Pascual-Marqui,et al. Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization , 2007, 0710.3341.
[72] S Makeig,et al. Analysis of fMRI data by blind separation into independent spatial components , 1998, Human brain mapping.
[73] O Bertrand,et al. A theoretical justification of the average reference in topographic evoked potential studies. , 1985, Electroencephalography and clinical neurophysiology.
[74] H. Kornhuber,et al. Hirnpotentialänderungen bei Willkürbewegungen und passiven Bewegungen des Menschen: Bereitschaftspotential und reafferente Potentiale , 1965, Pflüger's Archiv für die gesamte Physiologie des Menschen und der Tiere.
[75] R H Bayford,et al. Multi-frequency electrical impedance tomography (EIT) of the adult human head: initial findings in brain tumours, arteriovenous malformations and chronic stroke, development of an analysis method and calibration , 2006, Physiological measurement.
[76] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[77] W. Singer,et al. Abnormal neural oscillations and synchrony in schizophrenia , 2010, Nature Reviews Neuroscience.
[78] D. Stegeman,et al. Investigation of tDCS volume conduction effects in a highly realistic head model , 2014, Journal of neural engineering.
[79] E. Maris,et al. Orienting Attention to an Upcoming Tactile Event Involves a Spatially and Temporally Specific Modulation of Sensorimotor Alpha- and Beta-Band Oscillations , 2011, The Journal of Neuroscience.
[80] Peng Xu,et al. A comparative study of different references for EEG default mode network: The use of the infinity reference , 2010, Clinical Neurophysiology.
[81] Joerg F. Hipp,et al. Measuring the cortical correlation structure of spontaneous oscillatory activity with EEG and MEG , 2016, NeuroImage.
[82] Bin Hu,et al. A study on validity of cortical alpha connectivity for schizophrenia , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[83] Bin Hu,et al. An EEG based nonlinearity analysis method for schizophrenia diagnosis , 2012, BioMed 2012.
[84] W. Drongelen,et al. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering , 1997, IEEE Transactions on Biomedical Engineering.
[85] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[86] J. Matias Palva,et al. Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series , 2012, NeuroImage.
[87] D. Narayana Dutt,et al. Application of LMS adaptive predictive filtering for muscle artifact (noise) cancellation from EEG signals , 1996 .
[88] D. Yao,et al. A method to standardize a reference of scalp EEG recordings to a point at infinity , 2001, Physiological measurement.
[89] F. Offner,et al. The EEG as potential mapping: the value of the average monopolar reference. , 1950, Electroencephalography and clinical neurophysiology.
[90] Yu Ping Wang,et al. Recognizing mild cognitive impairment based on network connectivity analysis of resting EEG with zero reference , 2014, Physiological measurement.
[91] Christoph M. Michel,et al. Epileptic source localization with high density EEG: how many electrodes are needed? , 2003, Clinical Neurophysiology.
[92] Quanying Liu,et al. A real-time EEG-based BCI system for attention recognition in ubiquitous environment , 2011, UAAII '11.
[93] Eung Je Woo,et al. Electrical Tissue Property Imaging at Low Frequency Using MREIT , 2014, IEEE Transactions on Biomedical Engineering.
[94] M. Corbetta,et al. Electrophysiological signatures of resting state networks in the human brain , 2007, Proceedings of the National Academy of Sciences.
[95] Moritz Dannhauer,et al. Modeling of the human skull in EEG source analysis , 2011, Human brain mapping.
[96] Christian Seifert,et al. Single-trial coupling of EEG and fMRI reveals the involvement of early anterior cingulate cortex activation in effortful decision making , 2008, NeuroImage.
[97] Dante Mantini,et al. The impact of using a high-density montage and a realistic head model for EEG signal re-referencing , 2015 .
[98] Thom F. Oostendorp,et al. The conductivity of the human skull: results of in vivo and in vitro measurements , 2000, IEEE Transactions on Biomedical Engineering.
[99] Jiang Xu,et al. Language in context: emergent features of word, sentence, and narrative comprehension , 2005, NeuroImage.
[100] Silvia Brem,et al. Automated detection and labeling of high-density EEG electrodes from structural MR images , 2016, Journal of neural engineering.
[101] Seppo P. Ahlfors,et al. Sensitivity of MEG and EEG to Source Orientation , 2010, Brain Topography.
[102] M. V. D. Heuvel,et al. Exploring the brain network: A review on resting-state fMRI functional connectivity , 2010, European Neuropsychopharmacology.
[103] N. Wenderoth,et al. High-density electroencephalography permits the detection of resting state networks , 2016 .
[104] Kensuke Sekihara,et al. Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction , 2005, NeuroImage.
[105] Gerald S. Russell,et al. Geodesic photogrammetry for localizing sensor positions in dense-array EEG , 2005, Clinical Neurophysiology.
[106] G. Pfurtscheller,et al. On the existence of different types of central beta rhythms below 30 Hz. , 1997, Electroencephalography and clinical neurophysiology.
[107] M. Czisch,et al. Brain activation and hypothalamic functional connectivity during human non-rapid eye movement sleep: an EEG/fMRI study. , 2006, Brain : a journal of neurology.
[108] L. Liu,et al. Improve Affective Learning with EEG Approach , 2010, Comput. Informatics.
[109] Juliane Britz,et al. EEG microstate sequences in healthy humans at rest reveal scale-free dynamics , 2010, Proceedings of the National Academy of Sciences.
[110] Vince D. Calhoun,et al. Reactivity of hemodynamic responses and functional connectivity to different states of alpha synchrony: A concurrent EEG-fMRI study , 2010, NeuroImage.
[111] P. Rossini,et al. Hand somatosensory subcortical and cortical sources assessed by functional source separation: An EEG study , 2009, Human brain mapping.
[112] D. Lehmann,et al. Functional imaging with low-resolution brain electromagnetic tomography (LORETA): a review. , 2002, Methods and findings in experimental and clinical pharmacology.
[113] Dezhong Yao,et al. Why do we need to use a zero reference? Reference influences on the ERPs of audiovisual effects. , 2013, Psychophysiology.
[114] H. Kornhuber,et al. [CHANGES IN THE BRAIN POTENTIAL IN VOLUNTARY MOVEMENTS AND PASSIVE MOVEMENTS IN MAN: READINESS POTENTIAL AND REAFFERENT POTENTIALS]. , 1965, Pflugers Archiv fur die gesamte Physiologie des Menschen und der Tiere.
[115] Maquet,et al. Functional neuroimaging of normal human sleep by positron emission tomography , 2000, Journal of sleep research.
[116] H. Kennedy,et al. Alpha-Beta and Gamma Rhythms Subserve Feedback and Feedforward Influences among Human Visual Cortical Areas , 2016, Neuron.
[117] N. Schaul,et al. The fundamental neural mechanisms of electroencephalography. , 1998, Electroencephalography and clinical neurophysiology.
[118] D. A. Driscoll,et al. Current Distribution in the Brain From Surface Electrodes , 1968, Anesthesia and analgesia.
[119] Bin Hu,et al. A Humanoid Robot Used as an Assistive Intervention Tool for Children with Autism Spectrum Disorder: A Preliminary Research , 2013, Brain and Health Informatics.
[120] P. Nunez,et al. Steady state visually evoked potential (SSVEP) topography in a graded working memory task. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[121] M. Raichle,et al. Cortical network functional connectivity in the descent to sleep , 2009, Proceedings of the National Academy of Sciences.
[122] W. Hackbusch,et al. Efficient Computation of Lead Field Bases and Influence Matrix for the FEM-based EEG and MEG Inverse Problem. Part I: Complexity Considerations , 2003 .
[123] N Jon Shah,et al. Altered resting‐state connectivity in Huntington's Disease , 2014, Human brain mapping.
[124] Chris R. Johnson,et al. Volume Currents in Forward and Inverse Magnetoencephalographic Simulations Using Realistic Head Models , 2004, Annals of Biomedical Engineering.
[125] Ramesh Srinivasan,et al. Estimating the spatial Nyquist of the human EEG , 1998 .
[126] Jürgen Kayser,et al. In search of the Rosetta Stone for scalp EEG: Converging on reference-free techniques , 2010, Clinical Neurophysiology.
[127] Pablo Barttfeld,et al. Functional Connectivity and Temporal Variability of Brain Connections in Adults with Attention Deficit/Hyperactivity Disorder and Bipolar Disorder , 2014, Neuropsychobiology.
[128] P. Nunez,et al. A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousness , 2006, Clinical Neurophysiology.
[129] V. Calhoun,et al. Selective changes of resting-state networks in individuals at risk for Alzheimer's disease , 2007, Proceedings of the National Academy of Sciences.
[130] G. Shepherd. The Synaptic Organization of the Brain , 1979 .
[131] Adrian K. C. Lee,et al. Attention Drives Synchronization of Alpha and Beta Rhythms between Right Inferior Frontal and Primary Sensory Neocortex , 2015, The Journal of Neuroscience.
[132] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[133] M. Corbetta,et al. Evolutionarily Novel Functional Networks in the Human Brain? , 2013, The Journal of Neuroscience.
[134] R. O’Connell,et al. Pupil diameter covaries with BOLD activity in human locus coeruleus , 2014, Human brain mapping.
[135] Stefan Everling,et al. Stable long-range interhemispheric coordination is supported by direct anatomical projections , 2015, Proceedings of the National Academy of Sciences.
[136] Robert T. Thibault,et al. The self-regulating brain and neurofeedback: Experimental science and clinical promise , 2016, Cortex.
[137] Anthony J. Rissling,et al. Electroencephalography (EEG) and Event‐Related Potentials (ERPs) with Human Participants , 2010, Current protocols in neuroscience.
[138] Robert W Thatcher,et al. Coherence, Phase Differences, Phase Shift, and Phase Lock in EEG/ERP Analyses , 2012, Developmental neuropsychology.
[139] Ahmad Khodayari-Rostamabad,et al. A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder , 2013, Clinical Neurophysiology.
[140] Sabine Van Huffel,et al. Bayesian model selection of template forward models for EEG source reconstruction , 2014, NeuroImage.
[141] Barry D. Van Veen. Minimum variance beamforming with soft response constraints , 1991, IEEE Trans. Signal Process..
[142] C. Joyce,et al. The face-sensitive N170 and VPP components manifest the same brain processes: The effect of reference electrode site , 2005, Clinical Neurophysiology.
[143] Adam Gazzaley,et al. Measuring functional connectivity during distinct stages of a cognitive task , 2004, NeuroImage.
[144] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[145] A. Engel,et al. Neuronal Synchronization along the Dorsal Visual Pathway Reflects the Focus of Spatial Attention , 2008, Neuron.
[146] Simon K. Warfield,et al. EEG source analysis of epileptiform activity using a 1 mm anisotropic hexahedra finite element head model , 2009, NeuroImage.
[147] R D Pascual-Marqui,et al. Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. , 2002, Methods and findings in experimental and clinical pharmacology.
[148] C. Miniussi,et al. New insights into rhythmic brain activity from TMS–EEG studies , 2009, Trends in Cognitive Sciences.
[149] J. Haueisen,et al. Influence of head models on EEG simulations and inverse source localizations , 2006, Biomedical engineering online.
[150] D. Tucker,et al. EEG source localization: Sensor density and head surface coverage , 2015, Journal of Neuroscience Methods.
[151] D. Lehmann,et al. Topographic maps, source localization inference, and the reference electrode: comments on a paper by Desmedt et al. , 1993, Electroencephalography and clinical neurophysiology.
[152] Leonardo L. Gollo,et al. Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays , 2008, Proceedings of the National Academy of Sciences.
[153] Robert Oostenveld,et al. A comparative study of different references for EEG spectral mapping: the issue of the neutral reference and the use of the infinity reference , 2005, Physiological measurement.
[154] W. Singer,et al. Neural Synchrony in Brain Disorders: Relevance for Cognitive Dysfunctions and Pathophysiology , 2006, Neuron.
[155] Jaakko Malmivuo,et al. Effect of measurement noise and electrode density on the spatial resolution of cortical potential distribution with different resistivity values for the skull , 2006, IEEE Transactions on Biomedical Engineering.
[156] Maurizio Corbetta,et al. A Signal-Processing Pipeline for Magnetoencephalography Resting-State Networks , 2011, Brain Connect..
[157] Rolando J. Biscay-Lirio,et al. Assessing interactions in the brain with exact low-resolution electromagnetic tomography , 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[158] G. Glover,et al. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.
[159] Tülay Adali,et al. Estimating the number of independent components for functional magnetic resonance imaging data , 2007, Human brain mapping.
[160] Jürgen Kayser,et al. Reference-independent ERP old/new effects of auditory and visual word recognition memory: Joint extraction of stimulus- and response-locked neuronal generator patterns. , 2007, Psychophysiology.
[161] R R Edelman,et al. Silent functional magnetic resonance imaging demonstrates focal activation in rapid eye movement sleep , 1999, Neurology.
[162] Bin Hu,et al. Towards an Efficient and Accurate EEG Data Analysis in EEG-Based Individual Identification , 2010, UIC.
[163] Stephen M. Smith,et al. The future of FMRI connectivity , 2012, NeuroImage.
[164] Guido Nolte,et al. The use of standardized infinity reference in EEG coherency studies , 2007, NeuroImage.
[165] Claude Tomberg,et al. Topographic analysis in brain mapping can be compromised by the average reference , 2005, Brain Topography.
[166] Yang Li,et al. An Alpha resting EEG study on nonlinear dynamic analysis for schizophrenia , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
[167] I. Lemahieu,et al. Influence of measurement noise and electrode mislocalisation on EEG dipole-source localisation , 2000, Medical and Biological Engineering and Computing.
[168] D. Louis Collins,et al. Design and construction of a realistic digital brain phantom , 1998, IEEE Transactions on Medical Imaging.