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Biomedical Functional Imaging and Neuroengineering Laboratory

College of Science & Engineering > Dept. of Biomedical Engineering


Bin He

Distinguished McKnight University Professor of Biomedical Engineering
Medtronic-Bakken Chair for Engineering in Medicine

  • B.S., Electrical Engineering, Zhejiang University, 1982
  • M.S., Electrical Engineering, Tokyo Institute of Technology, 1985
  • Ph.D., Bioelectrical Engineering, Tokyo Institute of Technology, 1988
  • Postdoctoral Fellowship in Biomedical Engineering, Harvard University - M.I.T., 1991
Biography    Top

Dr. Bin He received his BS in Electrical Engineering from Zhejiang University in 1982, and PhD in Bioelectrical Engineering from Tokyo Institute of Technology, Japan, a Nobel Prize winning campus in 1988, both with the highest honors. He completed a postdoctoral fellowship in Biomedical Engineering at Harvard University - M.I.T. After working as a Research Scientist at M.I.T., he was on the faculty of Electrical Engineering and Bioengineering at the University of Illinois at Chicago, where he was named a University Scholar by the President of the University of Illinois. From January 2004, he has been a Professor of Biomedical Engineering and Director of Biomedical Functional Imaging and Neuroengineering Laboratory at the University of Minnesota. Later he was appointed as a Distinguished McKnight University Professor and Medtronic-Bakken Chair for Engineering in Medicine. He serves as Director of the Institute for Engineering in Medicine, Director of the Center for Neuroengineering, Director of the NSF IGERT Neuroengineering Training Program, as well as Director of the NIH Neuroimaging Training Program, at the University of Minnesota.

Dr. He's research interests include neuroengineering, functional biomedical imaging, cardiovascular engineering, and medical devices. He has published over 190 articles in peer-reviewed core international journals including Neuron, Brain, Journal of Neuroscience, NeuroImage, Human Brain Mapping, Heart Rhythm, PLoS ONE, Epilepsia, Applied Physics Letters, American Journal of Physiology, Journal of Neural Engineering, and various IEEE Transactions, including IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging, and IEEE Transactions on Neural Systems and Rehabilitation Engineering. He has also delivered over 300 plenary, keynote and invited talks in various international conferences and in a number of institutions world-wide. Dr. He’s research has been featured by Nature, New York Times, BBC, CNN, NBC, CBS, ABC, Washington Post, Scientific American, Economist, New Scientist, US News, Star Tribune, Pioneer Press, NPR, among others. A video describing his work on mind controlled flying robot has been viewed more than 700,000 times.

Dr. He is a recipient of the Outstanding Research Award from the International Federation of Clinical Neurophysiology, the Established Investigator Award from the American Heart Association, and the CAREER Award from the National Science Foundation among others. He is an elected Fellow of the International Academy of Medical and Biological Engineering, IEEE, the American Institute for Medical and Biological Engineering, and the Institute of Physics. Dr. He serves as an Associate Editor or Editorial Board Member of several international journals in the field of biomedical engineering, and is the Editor-in-Chief of IEEE Transactions on Biomedical Engineering. He has served as the General Chair of the International Annual Conference of IEEE Engineering in Medicine and Biology Society (2009), Chair of the IEEE EMBS Forum on Grand Challenges in Neuroengineering (2010), Co-Chair of Scientific Committee of the World Congress on Medical Physics and Biomedical Engineering (2012), Chair of IEEE Life Sciences Grand Challenges Conference (2012), and Chair of IEEE EMBS International Conference on Neural Engineering (2013). He is a past president of the International Society of Bioelectromagnetism and of the International Society for Functional Source Imaging, and was the 2009-2010 President of IEEE Engineering in Medicine and Biology Society.

Dr. He has been fortunate to be associated with talented graduate and undergraduate students, and postdoctoral associates, many of whom have taken faculty positions in academia in the US, Canada, Japan, China and Korea (including Purdue University, Yale University, Northwestern University, University of Minnesota, University of Oklahoma, University of Tennessee, Ryerson University, Niigata University, Chinese Academy of Sciences, and Yonsei University), and in major corporations (including Medtronic, Inc., Boston Scientific Corp, Philips, Baxter, Motorola, and Morningstar, Inc.). Many of his PhD students received competitive fellowship awards from various funding agencies or the University, or paper competition awards in international conferences.

 

Research Interests    Top

Dr. Bin He's major research interests are in the field of neuroengineering and biomedical imaging. Together with his co-workers, he has made significant contributions to the development of electrophysiological functional imaging, multimodal imaging, cardiac electric imaging, and neuroengineering. Dr. He's research programs are funded by NIH (NIBIB, NHLBI, NEI), NSF, and ONR among other sponsors. The active research programs in Dr. He's lab are as follows.

Multimodal Functional Neuroimaging: Dr. He and his students have developed a unified theory for multimodal neuroimaging integrating the BOLD functional MRI and electrophysiological imaging. Hemodynamic neuroimaging, such as BOLD functional MRI, has high spatial resolution at mm scale but very slow in time. Electrophysiological neuroimaging has high temporal resolution at ms scale but limited spatial resolution. It has been a major frontier in the functional neuroimaging research to attempt to greatly enhance spatio-temporal resolution by integrating functional MRI with electrophysiological imaging. Dr. He and colleagues have developed a rigorous theory on neurovascular coupling, which provides a principled way of integrating BOLD functional MRI signals with electrophysiological signals for event-related paradigms. The theory has been tested in human visual system and revealed a dramatic improvement in performance in imaging human visual information pathways. Dr. He and his students have further developed new algorithms to integrate fMRI and EEG/MEG signals for oscillatory brain activity. Currently both theoretical and experimental studies are actively pursued in Dr. He's lab to further develop the high resolution spatio-temporal functional neuroimaging modality, and to study the sensory, motor and cognitive functions of the brain using EEG/fMRI.

Functional Neuroimaging of Epilepsy: Dr. He and colleagues have made significant contributions to high-resolution electrophysiological neuroimaging aiding neurosurgical planning in epilepsy patients. Due to the limited spatial resolution of scalp EEG, it is widely practiced in clinical settings that invasive intracranial recordings are obtained, by placing electrode sensors directly on the surface of or within the brain, to aid neurosurgical planning in patients with intractable epilepsy. Dr. He and his students have developed an innovative epilepsy source imaging methodology, in which causal interactions among sources are identified and imaged from noninvasive EEG recordings. Such imaging provides high spatial resolution in imaging distributed brain sources within the 3-dimensional brain volume and reveals neural interactions and connectivity embedded in the brain networks. Dr. He and colleagues have further developed an ICA based seizure imaging methodology and conducted a rigorous validation study in a group of epilepsy patients to image epileptogenic brain, and demonstrated high consistence between the imaged seizure sources and the epileptogenic zones determined by well established clinical procedures in the same patients. Active research is currently being pursued to further establish electrophysiological neuroimaging as a noninvasive tool aiding surgical planning in epilepsy patients. Other than EEG/MEG neuroimaging, Dr. He and his colleagues are also pursuing functional MRI mapping of epileptogenic zone from fMRI. This line of work is carried in collaboration with Mayo Clinic and University of Minnesota Medical Center.

Electrical Properties Imaging: An important research program in Dr. He’s lab is the development and investigation of novel approaches for noninvasive imaging of electrical properties of biological tissues, including bioimpedance imaging. Dr. He and colleagues have proposed and developed a new approach called magnetoacoustic tomography with magnetic induction (MAT-MI) by integrating ultrasound and biomagnetism, in order to obtain high resolution image of electrical impedance of biological tissue. In the MAT-MI approach, the object is placed in a static magnetic field and a pulsed magnetic field. The pulsed magnetic field induces eddy current in the object. Consequently, the object emits ultrasonic waves through the Lorentz force produced by the combination of the eddy current and the static magnetic field. The acoustic waves are then collected by the detectors located around the object for image reconstruction. MAT-MI takes the advantage of excellent contrast of electrical impedance and the high spatial resolution of ultrasound. The recent work demonstrates that the MAT-MI approach can achieve mm spatial resolution in imaging electrical impedance, which represents a significant advancement in comparison with the spatial resolution of conventional electrical impedance imaging approach, and may play a critically important role in early detection of breast cancer. Along the similar line, Dr. He and his colleagues have been developing a MR based electrical properties tomography (EPT) approach using B1 mapping of MR technology to reconstruct subject specific electrical properties distributions. EPT not only has great potential for clinical applications in cancer detection and diagnosis but also promises to provide subject specific SAR mapping, helping managing safety concerns in high or ultrahigh field MRI systems.

Cardiac Electrical Tomography: Dr. He and colleagues have pioneered the development of electrophysiological cardiac tomography in assessing dynamic cardiac functions. The electrocardiographic inverse imaging problem has historically been solved using point dipole sources, epicardial potentials, or heart surface activation patterns. Dr. He and colleagues have developed cardiac electrical tomography techniques in his lab to image electrical functional information throughout the 3-dimensional volume of the heart from noninvasive electrocardiographic measurements. In collaboration with collaborators at the University of Alabama at Birmingham and the University of Minnesota Medical School, Dr. He and colleagues have validated this cardiac electrical tomography technology in animal models including rabbits, dogs, and swines where simultaneous intracardiac or intracavity potentials are measured together with body surface potential mapping. Dr. He has recently further proposed a catheter-based cardiac electrical tomography approach to use the minimally invasive catheter recordings, which is routinely used in numerous hospitals in the world. Currently pilot clinical studies are being carried out to test the efficacy and clinical applications of the cardiac electrical tomography techniques developed in Dr. He’s lab. The establishment of such imaging techniques promises to greatly impact the management of cardiac arrhythmia, a leading cause of public health problem in US and developed countries.

Brain-Computer Interface: Dr. He and his students have made significant contributions to brain-computer interface (BCI) research. This work is aimed at developing novel techniques for effectively decoding the intention of human subjects and controlling external device which may ultimately benefit patients suffering from neurological disorders. Dr. He and his students have developed a time-frequency-spatial approach to extract the extremely weak signals accompanying the “thought” of a human subject using an array of electrode sensors placed over the scalp. This method takes the “signatures” of each individual subject and uses them for optimal decoding of the intention of the human subject. Dr. He has proposed the concept of electrophysiological neuroimaging based BCI – an idea to estimate “virtual” intracranial signals from the noninvasive EEG recordings for substantially improving the performance of noninvasive EEG based BCI. Dr. He and his colleagues have been aggressively investigating the mechanisms associated with motor imagery based BCI by using advanced neuroimaging techniques to delineate the brain sources accompanying motor imagery. Recently, Dr. He and his students have developed a 3-dimensional continuous brain-computer interface system to allow human subjects to control the flight of a flying robot from noninvasive brain waves. Click the video to see the mind controlled flying robot.

Neuromodulation: Dr. He and his colleagues are actively pursuing noninvasive neuromodulation modalities including transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS). Current interest ranges from basic studies of mechanisms of TMS and tDCS by means of dynamic brain mapping, to clinical investigations in patients with stroke and schizophrenia. Other than treatment purposes, Dr. He and his colleagues are pursuing perturbation based imaging in which neuromodulation is used to perturb the central nervous systems and responses measured using various neuroimaging methods for better understanding of brain circuits, networks and functions.

Selected Awards and Recognition    Top
  • Fellow, International Academy of Medical and Biological Engineering
  • Fellow, IEEE
  • Fellow, American Institute of Medical and Biological Engineering
  • Fellow, Institute of Physics
  • Medtronic-Bakken Chair for Engineering in Medicine
  • Distinguished McKnight University Professorship
  • Outstanding Research Award, International Federation of Clinical Neurophysiology
  • American Heart Association Established Investigator Award
  • National Science Foundation CAREER Award
  • University of Illinois University Scholar Award
  • North American Society of Pacing and Electrophysiology Young Investigator Award (2nd Place)
Editorial Activities    Top
  • Editor-in-Chief, IEEE Transactions on Biomedical Engineering (2013-present).
  • Senior Editor, IEEE Transactions on Neural Systems and Rehabilitation Engineering (2012-Present).
  • Section Editor, Brain Topography (2007-Present).
  • Reviewing Editor, Computerized Medical Imaging and Graphics (2013-Present)
  • Editorial Board Member, Technology (2013-Present)
  • Editorial Board Member, IEEE Access (2013-Present).
  • Editorial Advisory Board Member, IEEE Spectrum (2009-Present).
  • Editorial Board Member, Journal of Neural Engineering (2004-Present).
Recent Professional Society/Conference Activities    Top
  • Conference Co-Chair, IEEE International Symposium on Biomedical Imaging, 2014.
  • Conference Chair, IEEE EMBS International Conference on Neural Engineering, 2013.
  • Conference Chair, Minnesota Neuromodulation Symposium, 2013.
  • Conference Chair, IEEE Life Sciences Grand Challenges Conference, 2012.
  • Chair, Membership Committee, International Academy of Medical and Biological Engineering, 2013-Present.
  • Co-Chair, Scientific Committee, World Congress on Medical Physics and Biomedical Engineering, 2012.
  • Co-Chair, IEEE Life Sciences Project Team, 2011-2013.
  • Chair, Steering Committee, IEEE EMBS Forum on Grand Challenges in Neuroengineering, 2010.
  • President, IEEE Engineering in Medicine and Biology Society (EMBS), 2009 - 2010.
  • Conference Chair, the Annual International Conference of IEEE Engineering in Medicine and Biology Society, 2009.
Publications    Top
Edited Books

  • He B (Ed): "Neural Engineering," Second Edition, Springer, 2013.
  • Sigg D, Iaizzo P, Yang X, He B (eds): Cardiac Electrophysiology Methods and Models, Springer, 2010.
  • He B (Ed): "Neural Engineering," Kluwer Academic/Plenum Publishers, 2005.
  • He B (Ed): "Modeling & Imaging of Bioelectrical Activity: Principles and Applications," Kluwer Academic Publishers, 2004.
Books Chapters

  • He B, Gao S, Yuan H, Wolpaw J: “Brain-Computer Interface,” In He B (Ed): Neural Engineering, Springer, pp. 87-151, 2013..
  • He B and Ding L: “Electrophysiological Neuroimaging,” In He B (Ed): Neural Engineering, Springer, 499-544, 2013.
  • Ding M and He B: “Exploring Functional and Causal Connectivity in the Brain,” In He B (Ed): Neural Engineering, Springer, 545-564, 2013.
  • Michel C, He B: “EEG Mapping and Source Imaging,” In: D. Schomer, F. Lopes da Silva (eds): Niedermeyer's Electroencephalography, 6th edition. Wolters Kluwer & Lippincott Williams & Wilkins, Philadelphia, Chapter 55, pp. 1179-1202, 2011.
  • He B, Liu C: “Noninvasive Electrophysiological Imaging of Cardiac Electric Activity,” In: Sigg, Iaizzo, Yang, He (eds): Cardiac Electrophysiology Methods and Models, Springer, 357-374, 2010.
  • He B, Hori J, Babiloni F: “EEG Inverse Problems,” In Akay M (Ed): Wiley Encyclopedia in Biomedical Engineering, John Wiley & Sons, Inc., Vol. 2, 1355-1363, 2006.
  • Y Okamoto, He B: “ECG Inverse Problems,” In Akay M (Ed): Wiley Encyclopedia in Biomedical Engineering, John Wiley & Sons, Inc., Vol. 2, 1275-1283, 2006.
  • He B, Lian J: “Electrophysiological Neuroimaging,” In He B (Ed): Neural Engineering, Kluwer Academic/Plenum Publishers, 221-262, 2005.
  • Vallabhaneni A, Wang T, He B: “Brain Computer Interface,” In He B (Ed): Neural Engineering, Kluwer Academic/Plenum Publishers, 85-122, 2005.
  • He B: “Electrocardiographic Tomographic Imaging,” In He B (Ed): Modeling and Imaging of Bioelectric Activity – Principles and Applications, Kluwer Academic/Plenum Publishers, 161-182, 2004.
  • He B, Lian J: “Body Surface Laplacian Mapping of Bioelectric Sources,” In He B (Ed): Modeling and Imaging of Bioelectric Activity – Principles and Applications, Kluwer Academic/Plenum Publishers, 183-212, 2004.
  • He B, Yao D, Wu D: "Imaging Brain Electrical Activity," In JC Lin (Ed): Advances in Electromagnetic Fields in Living Systems, Vol. 3, Plenum Publishers, 73-120, 2000.
  • He B, Wu D: “On the Feasibility of Solving Electrocardiographic Inverse Problems using Laplacian ECG,” In P Johnston (Ed): Computational Inverse Problems in Electrocardiography, WIT Press, 89-118, 2000.
  • Rosenbaum D, He B, & Cohen RJ: "New approaches for evaluating cardiac electrical activity: Repolarization alternans and body surface Laplacian imaging," In: Cardiac Electrophysiology, Zipes & Julife Eds., 1187-1197, 1995.

Articles in Peer-reviewed Journals since 2004

  1. Zhang X, de Moorte le PF, Schmitter S, He B: “Complex B(1) mapping and electrical properties imaging of the human brain using a 16-channel transceiver coil at 7T.” Magn Reson Med. 2012 Jun 12. Abstract
  2. Hu G and He B: “Magnetoacoustic imaging of magnetic iron oxide nanoparticles embedded in biological tissues with microsecond magnetic stimulation,” Applied Physics Letters, 100(1): 13704, 2012. Abstract
  3. Zhang P, Jamison K, Engel S, He B, He S: "Binocular rivalry requires visual attention”, Neuron 71, 362–369, July 28, 2011 Abstract
  4. Yuan H, Perdoni C, Yang L, He B: “Differential Electrophysiological Coupling for Positive and Negative BOLD Responses during Unilateral Hand Movements. ,” Journal of Neuroscience 2011 Jun 29;31(26):9585-93. Abstract
  5. Yang L, Wilke C, Brinkmann B, Worrell GA, He B: “Dynamic Imaging of Ictal Oscillations Using Non-invasive High-Resolution EEG,” Neuroimage. 2011 Jun 15;56(4):1908-17. Abstract
  6. Dai Y, Zhang W, Dickens DL, He B: "Source connectivity analysis from MEG and its application to epilepsy source localization," Brain Topography, DOI: 10.1007/s10548-011-0211-0, Epub Nov 18, 2011. Abstract
  7. Doud AJ, Lucas JP, Pisansky MT, He B: “Continuous Three-Dimensional Control of a Virtual Helicopter Using a Motor Imagery Based Brain-Computer Interface,” PLoS ONE 6(10): e26322. doi:10.1371/journal.pone.0026322, 2011. Abstract
  8. Lu Y, Yang L, Worrell G, He B: “Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients,” Clinical Neurophysiology, in press. Abstract
  9. Aarabi A, He B: “A rule-based seizure prediction method for focal neocortical epilepsy,” Clinical Neurophysiology, in press. Abstract
  10. Han C, Pogwizd S, Killingsworth C, He B: “Noninvasive Reconstruction of the Three-dimensional Ventricular Activation Sequence during Pacing and Ventricular Tachycardia in the Canine Heart,” American Journal of Physiology-Heart and Circulatory Physiology, 2011. Abstract
  11. Han C, Pogwizd S, Killingsworth C, He B: “Noninvasive Imaging of Three-dimensional Cardiac Activation Sequence in Hearts with Pacing and Ventricular Tachycardia: A Quantitative Comparison to Intra-cardiac Mapping on a Rabbit Model,” Heart Rhythm, 2011 Mar 9. Abstract
  12. Hu G, He B: “Magnetoacoutic Imaging of Electrical Conductivity of Biological Tissues with Magnetic Induction at a Spatial Resolution Better than 2mm,” PLoS ONE 6(8) Abstract
  13. Qin J, Perdoni C, He B: “One isn’t home when the lights are on: Dissociation of mind wandering and attention lapse by EEG high frequency rhythmic activities,” PLoS ONE, 6(9) 2011.
  14. Astolfi L, Cincotti F, Mattia D, De Vico Fallani F, Salinari S, Vecchiato G, Toppi J, Wilke C, Doud A, Yuan H, He B, Babiloni F: “Imaging the Social Brain by Simultaneous “Hyperscanning” of Different Subjects during their Mutual Interactions,” IEEE Intelligent System, in press Abstract
  15. Lai D, Liu C, Eggen M, Iaizzo P, He B: "Localization of Endocardial Ectopic Activity by Means of Noninvasive Endocardial Surface Current Density Reconstruction," Physics in Medicine and Biology, 2011 Jul 7;56(13):4161-76. Abstract
  16. Han C, Pogwizd S, Killingsworth C, He B: “Noninvasive Imaging of Three-dimensional Cardiac Activation Sequence in Hearts with Pacing and Ventricular Tachycardia. 2011 Aug;8(8):1266-72. Abstract
  17. He B, Yang L, Wilke C, Yuan H: “Electrophysiological Imaging of Brain Activity and Connectivity – Challenges and Opportunities,” IEEE Transactions on Biomedical Engineering, 2011 Jul;58(7):1918-31. Abstract
  18. Royer A, Rose M, He B: “Goal Selection vs. Process Control while Learning to Use a Brain-Computer Interface,” Journal of Neural Engineering, 8(3):036012, 2011. Abstract
  19. Hu G, Cressman E, He B: “Magnetoacoustic imaging of human liver tumor with magnetic induction,” Applied Physics Letters, 98(2):23703, 2011. Abstract
  20. Ding L, Ni Y, Sweeney J, He B: “Sparse Cortical Current Density Imaging of Motor Potentials Induced by Finger Movement,” Journal of Neural Engineering, 8(3):036008, 2011. Abstract
  21. Zhou L, Li X, Zhu S, He B: "Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) for Breast Tumor Imaging: Numerical Modeling and Simulation," Physics in Medicine and Biology, 56(7):1967-1983, 2011. Abstract
  22. He B, Dai Y, Astolfi L, Babiloni F, Yuan H, Yang L: "eConnectome: A MATLAB Toolbox for Mapping and Imaging of Brain Functional Connectivity," Journal of Neuroscience Methods, 2011 Feb 15;195(2):261-9 Abstract
  23. Liu C, Iaizzo PA, He B: “Three-dimensional Imaging of Intramural Ventricular Activation and Electrograms from Intracavitary Recordings,” IEEE Transactions on Biomedical Engineering, VOL. 58, NO. 4, APRIL 2011. Abstract
  24. Mariappan L, Li X, He B: "B-Scan Based Acoustic Source Reconstruction for Magnetoacoustic Tomography with Magnetic Induction (MAT-MI),” IEEE Transactions on Biomedical Engineering, VOL. 58, NO. 3 713-20 , MARCH 2011. Abstract Full Text
  25. Wang G, Yang L, Wilke C, Worrell G, He B: “Interictal spike analysis of high density EEG in patients with partial epilepsy,” Clinical Neurophysiology, 122 (2011) 1098–1105 Abstract
  26. Wilke C, Worrell G, He B: “Graph analysis of epileptogenic networks in human partial epilepsy”, Epilepsia, 52(1):84-93 2011.Abstract
  27. Bai X, Towle VL, van Drongelen W, He B: “Cortical Potential Imaging of Somatosensory Evoked Potentials by Means of the Boundary Element Method in Pediatric Epilepsy Patients,” Brain Topography, 2011 Jan;23(4):333-43.Abstract
  28. Bao M, Yang L, Rios C, He B, Engel S: “Perceptual learning increases the strength of the earliest signals in visual cortex,” Journal of Neuroscience, 30(45): 15080-15084, 2010. Abstract
  29. Zhang X, Zhu S, He B: "Imaging Electric Properties of Biological Tissues by RF Field Mapping in MRI," IEEE Trans Med Imaging, 2010 February; 29(2): 474–481. Abstract Full Text
  30. De Vico Fallani F, Nicosia V, Sinatra R, Astolfi L, Cincotti F, Mattia D, Wilke C, Doud A, Latora V, He B, Babiloni F: “Defecting or not defecting: how to “read” human behavior during cooperative games by means of EEG based functional connectivity analysis,” PLoS ONE, 5(12): e14187. doi:10.1371/journal.pone.0014187, 2010 Full Text
  31. Royer A, Doud A, Rose M, He B: “EEG Control of a Virtual Helicopter in 3-Dimensional Space Using Intelligent Control Strategies,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18: 581-589, 2010 (Cover Article).
  32. Royer AS, Doud AJ, Rose ML, He B: “EEG Control of a Virtual Helicopter in 3-Dimensional Space Using Intelligent Control Strategies,”IEEE Trans Neural Syst Rehabil Eng. 2010 Sep 27. [Epub ahead of print] Abstract Full Text
  33. Gang Hu, Xu Li, and Bin He: "Imaging biological tissues with electrical conductivity contrast below 1 S m[sup -1] by means of magnetoacoustic tomography with magnetic induction,” Applied Physics Letters, 97(10): 103705, 2010. Abstract Full Text
  34. Liu C and He B: “Non-invasive Estimation of Global Activation Sequence using Extended Kalman Filter,” IEEE Transactions on Biomedical Engineering, March 2011 Volume: 58 Issue:3 On page(s): 541 - 549 . Abstract Full Text
  35. Lai D, Liu C, Eggen MD, Iaizzo PA, He B: “Equivalent Moving Dipole Localization of Cardiac Ectopic Activity in a Swine Model during Pacing,” IEEE Transactions on Information Technology in Biomedicine, 2010 Nov;14(6):1318-26. Epub 2010 May 27.Abstract
  36. Lai Y, Zhang, X, van Drongelen, W, Korhman, M, Hecox, K, Ni, Y, He B: Noninvasive Cortical Imaging of Epileptiform Activities from Interictal Spikes in Pediatric Patients, NeuroImage, 54(1): 244-252, 2011 (Epub July 17, 2010). Abstract
  37. Li X, He B: “Multi-Excitation Magnetoacoustic Tomography with Magnetic Induction for Bioimpedance Imaging,” IEEE Transactions on Medical Imaging, 29(10): 1759-1767, 2010 (Epub June 7, 2010).Abstract
  38. Yang L, Liu ZM, He B: “EEG-fMRI reciprocal functional neuroimaging,” Clinical Neurophysiology, 21(8): 1240-50, 2010. (Cover Article).Abstract
  39. Liu ZM, Rios C, Zhang N, Yang L, Chen W, He B: “Linear and Nonlinear Relationships between Visual Stimuli, EEG and BOLD fMRI Signals,” NeuroImage, 50: 1054-1066.Abstract
  40. Yuan H, Perdoni C, He B: “Relationship between Speed and EEG Activity during Imagined and Executed Hand Movements,” Journal of Neural Engineering, 7(2), doi:10.1088/1741-2560/7/2/026001, 2010 (Featured Article). Abstract Full Text
  41. Yuan H, Liu T, Szarkowski R, Savage M, Ashe J, He B: “An EEG and fMRI Study of Motor Imagery: Negative Correlation of BOLD and EEG Activity in Primary Motor Cortex,” NeuroImage, 49: 2596-2606, 2010. Abstract
  42. Zhang XT, Zhu S, He B: “Magnetic Resonance Electric Properties Imaging of Biological Tissues,” IEEE Transactions on Medical Imaging, 29(2): 474-81, 2010. Abstract
  43. Xia R, Li X, He B: “A Comparison Study of Three Different Image Reconstruction Algorithms for MAT-MI,” IEEE Transactions on Biomedical Engineering, 57(3): 708-713, 2010.Abstract
  44. Wilke C, van Drongelen W, Kohrman M, He B: “Neocortical seizure foci localization by means of a directed transfer function method,” Epilepsia, 2010 Apr;51(4):564-72. Abstract
  45. Won Hee Lee, Zhongming Liu, Bryon A. Mueller, Kelvin Lim, and Bin He: "Influence of white matter anisotropic conductivity on EEG source localization: Comparison to fMRI in human primary visual cortex," Clinical Neurophysiology, 120(12): 2071–2081, 2009 Abstract Full text
  46. Wilke C, van Drongelen W, Kohrman M, He B: “Identification of epileptogenic foci from causal analysis of ECoG interictal spike activity,” Clinical Neurophysiology, 120(8): 1449-1456, 2009. Abstract Full text
  47. Ding L, Zhang N, Chen W, He B: “Three-dimensional Imaging of Complex Neural Activation in Humans from EEG,” IEEE Transactions on Biomedical Engineering, 56(8): 1980-8, 2009. Abstract Full text
  48. Liu Z, Zhang N, Chen W, He B: “Mapping the Bilateral Visual Integration by EEG and fMRI,” NeuroImage, 46(4): 989-997, 2009. Abstract
  49. Liu Y, Zhu S, He B: “Induced current magnetic resonance electrical impedance tomography of brain tissues based on J-substitution algorithm: a simulation study,” Physics in Medicine and Biology, 54(14): 4561-4573, 2009. Abstract Full text
  50. Li X, Li X, Zhu S, He B: “Solving the Forward Problem of Magnetoacoustic Tomography with Magnetic Induction by Means of the Finite Element Method,” Physics in Medicine and Biology, 54(9): 2667-2682, 2009. Abstract
  51. Xia R, Li X, He B: “Reconstruction of Vectorial Acoustic Sources in Time Reversal Tomography,” IEEE Transactions on Medical Imaging, 28(5): 669-675, 2009.
  52. Astolfi L, De Vico Fallani F, Cincotti F, Mattia D, Marciani MG, Salinari S, Sweeney J, Miller GA, He B and Babiloni F: “Estimation of effective and functional cortical connectivity from neuroelectric and hemodynamic recordings”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 17(3): 224-233, 2009. Abstract
  53. Bai X, Liu Z, Zhang N, Chen W, He B: “Three-Dimensional Source Imaging from Simultaneously Recorded ERP and BOLD-fMRI,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 17(2): 101-106, 2009. Abstract Full text
  54. Royer AS, He B: “Goal Selection vs. Process Control in a Brain-Computer Interface based on Sensorimotor Rhythms,” Journal of Neural Engineering, 6(1): 016005, 2009. Abstract Full text
  55. He B, Liu Z: “Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG,” IEEE Reviews in Biomedical Engineering, 1: 23-40, 2008. Abstract Full text
  56. Wilke C , Ding L, He B: “Estimation of time-varying connectivity patterns through the use of an adaptive directed transfer function,” IEEE Transactions on Biomedical Engineering, 55: 2557-2564, 2008. Abstract Full text
  57. Ma Q & He B: “Magnetoacoustic Tomography with Magnetic Induction: A Rigorous Theory,” IEEE Transactions on Biomedical Engineering, 55(2 Pt 2): 813-816, 2008. Abstract
  58. Yuan H, Doud AJ, Gururajan A, He B: "Cortical Imaging of Event-related (de)Synchronization during Online Control of Brain- computer Interface Using Minimum-norm Estimates in the Frequency Domain," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16: 425-431, 2008 (cover article). Abstract Full text
  59. Wang K, Zhu S, Mueller B, Lim K, Liu ZM, He B: "A New Method to Derive White Matter Conductivity from Diffusion Tensor MRI," IEEE Transactions on Biomedical Engineering, 55: 2481-2486, 2008.Abstract Full text
  60. Han C, Liu Z, Zhang X, Pogwizd S, He B: “Noninvasive Three- dimensional Cardiac Activation Imaging from Body Surface Potential Maps: A Computational and Experimental Study on a Rabbit Model,” IEEE Transactions on Medical Imaging, 27: 1622-1630, 2008. Abstract
  61. Gao N and He B: “Noninvasive Imaging of Bioimpedance Distribution by means of Current Reconstruction Magnetic Resonance Electrical Impedance Tomography,” IEEE Transactions on Biomedical Engineering, 55: 1530-1538, 2008. Abstract
  62. Zhang XT, Yan D, Zhu S, He B: “ Noninvasive Imaging of Head-Brain Conductivity Profiles by Means of Magnetic Resonance Electrical Impedance Imaging,” IEEE Engineering in Medicine and Biology, 27: 78-83, 2008. Full text
  63. Zhang Y, van Drongelen W, Kohrman M, He B: “Three-dimensional Brain Current Source Reconstruction from Intra-cranial ECoG Recordings,” NeuroImage, 42: 683-695, 2008. Full text
  64. Ding L & He B: “Sparse Source Imaging in EEG with Accurate Field Modeling,” Human Brain Mapping, 29(9): 1053-1067, 2008 (cover article). Abstract Full text
  65. Zhang N, Liu Z, He B, Chen W: “A Non-invasive Study of Neurovascular Coupling in Human Visual Cortex,” Journal of Cerebral Blood Flow & Metabolism, 28(2): 280-290, 2008.Abstract
  66. Liu C, Skadsberg ND, Ahlberg SA, Swingen CM, Iaizzo PA, He B: "Estimation of global ventricular activation sequences by noninvasive 3-dimensional electrical imaging: validation studies in a swine model during pacing," Journal of Cardiovascular Electrophysiology, 19(5):535-540, 2008 (cover article).Full text
  67. Liu ZM & He B: “fMRI-EEG Integrated Cortical Source Imaging by use of Time-Variant Spatial Constraints,” NeuroImage, 39(3): 1198-214, 2008. Full text
  68. Xia R, Li X, He B: “Magnetoacoustic tomographic imaging of electrical impedance with magnetic induction”, Applied Physics Letters, 91, 083903, 2007. Full text
  69. Li Z, Zhu S and He B: “Solving the ECG Forward Problem by Means of a Meshless Finite Element Method,” Physics in Medicine and Biology, 52(13):N287-96, July 7 2007. Abstract
  70. Astolfi L, De Vico Fallani F, Cincotti F, Mattia D, Marciani MG, Bufalari S, Salinari S, Colosimo A, Ding L, Edgar JC, Heller W, Miller GA, He B, Babiloni F: “Imaging functional brain connectivity patterns from high-resolution EEG and fMRI via graph theory,” Psychophysiology, 44(6):880-893, 2007 .Abstract
  71. Bai X, Towle VL, He EJ, He B: "Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI," NeuroImage 35: 598-608, 2007. Full text
  72. Astolfi L, Cincotti F, Mattia D, Marciani MG, Baccala L, de Vico Fallani F, Salinari S, Ursino M, Zavaglia M, Ding L, Edgar JC, Miller GA, He B and Babiloni F: "A Comparison of Different Cortical Connectivity Estimators for High-Resolution EEG Recordings," Human Brain Mapping, 28(2):143-57, 2007. Abstract
  73. Ding L, Wilke C, Xu B, Xu X, van Drongelene W, Kohrman M, He B: “EEG Source Imaging: Correlate Source Locations and Extents with ECoG and Surgical Resections in Epilepsy Patients,” Journal of Clinical Neurophysiology, 24(2):130-136, 2007. Abstract Full text
  74. Li J, Wang K, Zhu S, He B: “Effects of Holes on the EEG Forward Solutions using a Realistic Geometry Head Model,” J of Neural Engineering, Epub Apr 20, 2007. Abstract
  75. Ma Q & He B: “Investigation on magnetoacoustic signal generation with magnetic induction and its application to electrical conductivity reconstruction,” Physics in Medicine and Biology, 52(16):5085-99, 2007. Abstract
  76. He B, Liu C, Zhang YC: “Three-dimensional estimation of the cardiac activities by intra-cardiac recordings,” IEEE Transactions on Biomedical Engineering, 54(8):1454 – 1460, 2007. Abstract
  77. Lai Y, van Drongelen W, Hecox K, Frim D, and He B: "Cortical Activation Mapping of Epileptiform Activity Derived from Interictal ECoG Spikes", Epilepsia, 2007 Feb; 48(2):305-14. Abstract
  78. Kamousi B, Amini AN, He B: "Classification of Motor Imagery by Means of Cortical Current Density Estimation and Von Neumann Entropy for Brain-Computer Interface Applications," Journal of Neural Engineering, 4:17-25, 2007(featured article).Abstract
  79. Li X, Xu Y, He B: "Imaging Electrical Impedance of Biological Tissue from Acoustic Measurements by means of Magnetoacoustic Tomography with Magnetic Induction (MAT-MI): A Model Study," IEEE Transactions on Biomedical Engineering, 54(2): 323-330, 2007.Abstract
  80. Ding L, Worrell GA, Lagerlund TD, He B: "Ictal Source Analysis: Localization and Imaging of Causal Interactions in Humans," NeuroImage, 34(2): 575-586, 2007. Abstract
  81. Im CH, Gururajan A, Zhang N, Chen W, & He B: "Spatial Resolution of High Resolution EEG Cortical Source Imaging Revealed by Localization of Retinotopic Organization in Human Primary Visual Cortex," Journal of Neuroscience Methods, 161(1): 142-154, 2007. Full text
  82. Yamawaki N, Wilke C, Hue L, Liu Z, He B: "Enhancement of classification accuracy of a time-frequency approach for an EEG-based brain-computer interface," Methods of Information in Medicine, 46:155-159, 2007. Abstract
  83. Hori J, Miwa T, Ohshima T, He B: "Cortical dipole imaging of movement-related potentials by means of parametric inverse filters incorporating with signal and noise covariance," Methods of Information in Medicine, 46: 242-246, 2007. Abstract
  84. Zhang YC, van Drongelen W, He B: "Estimation of in vivo human brain-to-skull conductivity ratio with the aid of intracranial electrical simulation," Applied Physics Letters, 89: 223903, 2006. Abstract
  85. Bai X, He B: “Estimation of Number of Independent Brain Electric Sources from the scalp EEGs,” IEEE Transactions on Biomedical Engineering, 53(10): 1883-1892, 2006. Abstract Full text
  86. Liu ZM, Liu C, He B: "Noninvasive Reconstruction of Three-Dimensional Ventricular Activation Sequence from the Inverse Solution of Distributed Equivalent Current Density," IEEE Transactions on Medical Imaging, 25(10): 1307-1318, 2006. Abstract
  87. Zhang Y, Ding L, van Drongelen W, Hecox K, Frim D, He B: “ A Cortical Potential Imaging Study from Simultaneous Extra- and Intra-cranial Electrical Recordings by Means of the Finite Element Method,” NeuroImage, 31(4):1513-1524, 2006. Full text
  88. Ding L, Worrell GA, Lagerlund TD, He B: "3D Source Localization of Interictal Spikes in Epilepsy Patients with MRI Lesions," Physics in Medicine and Biology, 51(16): 4047-4062, 2006.Abstract Full text
  89. Im CH, Liu ZM, Zhang N, Chen W, He B: “Functional Cortical Source Imaging from Simultaneously Recorded ERP and fMRI,” Journal of Neuroscience Method, 157(1): 118-123, 2006.Abstract Full text
  90. Liu Z, Keckman F, He B: “Effects of fMRI-EEG Mismatches in Cortical Current Density Estimation Integrating fMRI and EEG: A Simulation Study,” Clinical Neurophysiology, 117(7): 1610-1622, 2006. Abstract Full text
  91. Yamawaki N, Wilke C, Liu Z, He B: “An enhanced time-frequency approach for motor imagery classification,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14(2): 250-254, 2006.Abstract Full text
  92. Ding L, He B: “Spatio-temporal EEG Source Localization Using a Three-dimensional Subspace FINE Approach in a Realistic Geometry Inhomogeneous Head Model,” IEEE Transactions on Biomedical Engineering, 53(9):1732-1739, 2006.Abstract Full text
  93. Liu C, Zhang X, Liu Z, Pogwizd SM, He B: “Three-Dimensional Myocardial Activation Imaging in a Rabbit Model,” IEEE Transactions on Biomedical Engineering,53(9):1813-1820, 2006.Abstract
  94. Liu ZM, Ding L, He B: "Integration of EEG/MEG with MRI and fMRI in Functional Neuroimaging," IEEE Engineering in Medicine and Biology Magazine, 25(4): 46-53, 2006. Full text
  95. Gao N, Zhu SA, He B: “A New Magnetic Resonance Electrical Impedance Tomography (MREIT) Algorithm: RSM-MREIT Algorithm with Applications to Estimation of Human Head Conductivity,” Physics in Medicine and Biology, 51(12): 3067-3083, 2006. Abstract Full text
  96. Li X, Xu Y, He B: “Magnetoacoustic tomography with magnetic induction for imaging electrical impedance of biological tissue,” Journal of Applied Physics, 99 (6): Art. No. 066112 MAR 15 2006.Abstract Full text
  97. Xu Y, He B: “Magnetoacoustic Tomography with Magnetic Induction (MAT-MI),” Physics in Medicine and Biology, 50:5175-5187, 2005.
  98. Babiloni F, Babiloni C, Carducci F, Cincotti F, Astolfi L, Basilisco A, Rossini PM, Ding L, Ni Y, Cheng J, Christine K, Sweeney J, and He B: “Assessing time-varying cortical functional connectivity with the multimodal integration of high resolution EEG and fMRI data by Directed Transfer Function,” NeuroImage, 24(1):118-131, 2005.
  99. Zhang X, Ramachandra I, Liu Z, Muneer B, Pogwizd SM, He B: Noninvasive Three-Dimensional Electrocardiographic Imaging of Ventricular Activation Sequence, American Journal of Physiology -Heart and Circulatory Physiology, 289(6):H2724-32, 2005.
  100. Bai X, He B: On the Estimation of Number of Equivalent Source Dipoles, Clinical Neurophysiology, 116(9):2037-2043, 2005.
  101. Qin L, He, B: A Wavelet-based Time-Frequency Analysis Approach for Classification of Motor Imagery for Brain-Computer Interface Applications, Journal of Neural Engineering, 2(4):65-72, 2005
  102. Ding L, Lai Y, He B: “Low resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study,” Physics in Medicine and Biology, 50(1):45-56, 2005
  103. Gao N, Zhu S, He B: “Estimation of electrical conductivity distribution within the human head from magnetic flux density measurement,” Physics in Medicine and Biology, 50:2675-2687, 2005
  104. Kamousi B, Liu Z, He B: "Classification of Motor Imagery Tasks for Brain-Computer Interface Applications by means of Two Equivalent Dipoles Analysis," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 13(2):166-171, 2005.
  105. Astolfi L, Babiloni C, Carducci F, Cincotti F, Basilisco A, Rossini PM, Salinari S, Cerutti S, Ben Dayan D, Ding L, Ni Y, He B, and Babiloni F: “Estimation of the cortical connectivity by high resolution eeg and structural equation modeling: simulations and application to finger tapping data,” IEEE Transactions on Biomedical Engineering, 52(5):757-768, 2005.
  106. Astolfi L, Cincotti F, Mattia D, Babiloni C, Carducci F, Basilisco A, Rossini PM, Salinari S, Ding L, Ni Y, He B and Babiloni F: “Assessing cortical functional connectivity by linear inverse estimation and directed transfer function from scalp EEG,” Clinical Neurophysiology, 116(4):920-932, 2005.
  107. Lai Y, van Drongelen W, Ding L, Hecox KE, Towle VL, Frim DM, He B: “In vivo human skull conductivity estimation from simultaneous extra- and intra-cranial electrical potential recordings,” Clinical Neurophysiology, 116(2):456-465, 2005.
  108. Liu C, Li G and He B: "Localization of the site of origin of reentrant arrhythmia from body surface potential maps: a model study," Physics in Medicine and Biology, 50(7): 1421-1432, 2005.
  109. Astolfi L, Cincotti F, Mattia D, Salinari S, Babiloni C, Basilisco A, Rossini PM, Ding L, Ni Y, He B, Marciani MG, Babiloni F: "Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high-resolution EEG," Magn Reson Imaging. 22(10):1457-1470, 2004.
  110. Wang T, Deng J, He B: “Classifying EEG-based Motor Imagery Tasks by means of Time-frequency Synthesized Spatial Patterns,” Clinical Neurophysiology, 115(12): 2744-2753, 2004.
  111. Zhang YC, Zhu SA, and He B: “A High-Order Finite Element Algorithm for Solving the Three-Dimensional EEG Forward Problem,” Physics in Medicine and Biology, 49: 2975-2987, 2004.
  112. Hori J, Aiba M, He B: “Spatio-temporal Cortical Source Imaging of Brain Electrical Activity by means of Time-Varying Parametric Projection Filter,” IEEE Trans. Biomedical Engineering, 51: 768-777, 2004.
  113. Qin L, Ding L, He B: "Motor Imagery Classification by Means of Source Analysis for Brain Computer Interface Applications", J of Neural Engineering, 1:135-141, 2004.
  114. Vallabhaneni A and He B: “Motor imagery task classification for brain computer interface applications using spatio-temporal principle component analysis,” Neurological Research, 26(3): 282-287, 2004.
  115. Hori J, Lian J, He B: Cortical Potential Imaging of Brain Electrical Activity by Means of Parametric Projection Filter, Methods of Information in Medicine, 43(1): 66-9, 2004.
  116. Wang T and He B: “An efficient rhythmic component expression and weighting synthesis strategy for classifying motor imagery EEG in brain computer interface,” Journal of Neural Engineering, 1(1): 1-7, 2004.
  117. Li G and He B: “Noninvasive estimation of myocardial infarction by means of a heart-model-based imaging approach – a simulation study,” Medical and Biological Engineering and Computing, 42(1): 128-136, 2004.
  118. Xu XL, Xu B, He B: “An Alternative Subspace Approach to EEG Dipole Source Localization,” Physics in Medicine and Biology, 49(2): 327-343, 2004.

Invited Plenary, Keynote, and Major Workshop Talks in the Past 5 Years    Top

  1. Mind Controlled Medical Devices, Keynote Lecture, MD & M Minneapolis Conference, Minneapolis, October 2013.
  2. High-resolution dynamic neuroimaging of brain activity, Invited Lecture, NSF Workshop on Mapping and Engineering the Brain, Arlington, August 2013.
  3. Three-dimensional Cardiac Electric Imaging, Invited Talk, The 33rd Annual Scientific Sessions of the Heart Rhythm Society, Boston, May 2012.
  4. Challenges and Opportunities in Neuroengineering – Understanding and Interfacing with the Brain, Keynote Talk, Design of Medical Devices Conference, Minneapolis, April 2012.
  5. EEG source and connectivity imaging of epilepsy, Invited Symposium Lecture, American Clinical Neurophysiology Society Annual Meeting, San Antonio, February 2012.
  6. Functional Neuroimaging, Keynote Lecture, Yangtze River International Conference on the Applications of Medical Imaging Physics & The 6th National Annual Meeting of Medical Imaging Physics, Hangzhou, October 2011.
  7. Multimodal Functional Neuroimaging Integrating fMRI and EEG. Invited Workshop Lecture. Human Brain Mapping Conference, June 2011.
  8. Functional Imaging of Brain and Cardiac Electrical Activity, Plenary Lecture, The 8th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the 8th International Conference on Bioelectromagnetism, Banff, May 2011.
  9. Spatio-Temporal Functional Neuroimaging of Brain Activity, Plenary Lecture, 5th IEEE EMBS International Conference on Neural Engineering, Cancun, April 2011.
  10. Electrical Source and Impedance Imaging: Challenges and Opportunities, Keynote Lecture, Workshop on MR-based Impedance Imaging, Seoul, December 2010.
  11. Imaging and Engineering the Brain: Challenges and Opportunities, Plenary Lecture, Chinese Society of Biomedical Engineering Annual Conference, Beijing, December 2010. 
  12. Noninvasive EEG-based Brain-Computer Interface, Invited Lecture, Neural Interfaces Conference, LA, June 2010.
  13. Toward High-resolution Spatio-temporal Functional Brain Imaging, Keynote Lecture, IEEE – EMBS Forum on Grand Challenges in Neuroengineering, Bethesda, May 2010.
  14. XIVth Conference on Electrical Biompedance and the 11th Conference on Biomedical Applications of Electrical Impedance Tomography, Plenary Lecture, Gainesville, April 2010.
  15. Emerging Frontiers in BME and Functional Neuroimaging, Chinese Conference on Biomedical Engineering, Plenary Lecture, Chongqing, October 2009.
  16. Neuroengineering: Opportunities and Challenges to Reverse Engineer the Brain, Second International Conference on BioMedical Engineering and Informatics and the Second International Congress on Image and Signal Processing, Keynote Lecture, Tianjin, October 2009.
  17. Functional Imaging of Brain and Heart Activity. Plenary Lecture, Joint Meeting of the 7th International Symposium on Noninvasive Functional Source Imaging & 7th International Conference on Bioelectromagnetism, Rome, May 2009.
  18. Electrophysiological Sensing and Imaging of Cardiac Activity, The Xiangshan Science Conferences 346th Session, Invited Lecture, Beijing, April 2009.
  19. Multimodal Functional Neuroimaging Integrating fMRI and EEG, Invited Talk, NIH Blueprint Workshop on Non-invasive Imaging of Brain Structure and Function, Washington DC, September, 2008.
  20. Multimodal Neuroimaging of Brain Activity and Connectivity, Invited Talk, Grand Challenges in Neuroscience Workshop, Institute of Medicine of the National Academies, Washington DC, June 2008.

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