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Neuro@OU

Under Review or Revision

  1. Yuan H, Ding L, Zhu M, Zotev V, Phillips R, and Bodurka J. Reconstructing Resting State Brain Networks from High-resolution EEG. Proc Natl Acad Sci U S A, under review.
  2. Dasari D, Ling C, Ding L, and Zhu M: Statistical analysis of continuous EEG data in identifying neurophysiological patterns of the time-on-task effect. Human Factor, under review.
  3. Shou GF, Dasari D, and Ding L: Ongoing alpha activity and post-stimulus potentials jointly predict errors. NeuroImage, under revision.

In Press or Published

  1. Xiao R and Ding L: EEG resolutions in detecting and decoding finger movements from spectral analysis. Frontiers in Neuroscience, Volume 9, Page: 308, 2015. doi: 10.3389/fnins.2015.00308
  2. Shou GF and Ding L: Detection of EEG Spatial-Spectral-Temporal Signatures of Errors: A Comprehensive Comparison of ICA-based and Channel-based Methods. Brain Topography, Volume 28, Issue 1, Page: 47-61,2015. doi: 10.1007/s10548-014-0397-z
  3. Ding L, Shou GF, Yuan H, Urbano D, and Cha YH. Lasting Modulation Effects of rTMS on Neural Activity and Connectivity as Revealed by Resting State EEG. IEEE Transactions on Biomedical Engineering, Volume 61, Issue 7, Page: 2070-2080, 2014. doi: 10.1109/TBME.2014.2313575
  4. Zhu M, Zhang WB, Dickens D, and Ding L: Reconstructing spatially extended brain sources via enforcing multiple transform sparseness . NeuroImage, Volume 86, Issue 1, Page, 280-293, 2014. doi:10.1016/j.neuroimage.2013.09.070
  5. Wu LL, Cai HJ, Gu RL, Luo Y, Zhang JX, Yang J, Shi YY and Ding L. Neural Manifestations of Implicit Self-esteem: An ERP Study. PLoS ONE, Volume 9, Issue 7, Page: e101837, 2014. doi:10.1371/journal.pone.0101837
  6. Liao KCO, Xiao RCO, Gonzalez JM, and Ding L: Decoding individual finger movements of one hand using human EEG signals. PLoS ONE, Volume 9, Issue 1, Page: e85192, 2014. doi: 10.1371/journal.pone.0085192
  7. Xiao R, and Ding L: Evaluation of EEG Features in Decoding Individual Finger Movements from One Hand. Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 243257, 10 pages, 2013. doi:10.1155/2013/243257
  8. Ozturk S, Yu T, Ding L, Palmer R, and Gasperoni N: Application of Compressive Sensing to Refractivity Retrieval Using Networked Weather Radars. IEEE Transactions on Geoscience and Remote Sensing, 52(1): 1-11, 2013. doi:10.1109/TGRS.2013.2266277.
  9. Liao K, Zhu M, and Ding L: A New Wavelet Transform to Sparsely Represent Cortical Current Densities for EEG/MEG Inverse Problems. Computer Methods and Programs in Biomedicine, 111:376-388, 2013. doi:10.1016/j.cmpb.2013.04.015.
  10. Zhu M, Zhang WB, Dickens DL, King JA, and Ding L: Sparse MEG Source Imaging for Reconstructing Dynamic Epileptic Sources of Interictal Spikes. Journal of Clinical Neurophysiology, 30(4):313-328, 2013. doi: 10.1097/WNP.0b013e31829dda27.
  11. Liao K, Zhu M, Ding L, Valette S, Zhang WB, and Dickens D: Sparse Imaging of cortical electrical current densities via wavelet transforms. Physics in Medicine and Biology, 57: 6881-6901, 2012.
  12. Ding L and Yuan H: Inverse source imaging methods in recovering distributed brain sources. Biomedical Engineering Letters, 2(1): 2-7, 2012.
  13. G.Shou, L.Ding, D.Dasari, Probing neural activations from continuous EEG in a real-world task: time-frequency independent component analysis, Journal of neuroscience method, 209: 22–34, 2012.
  14. Ding L and Yuan H: Simultaneous EEG and MEG source reconstruction in sparse electromagnetic source imaging. Human Brain Mapping, published online. DOI: 10.1002/hbm.21473, 2011.
  15. Ding L, Ying N, Sweeney J, and He B: Sparse Cortical Current Density Imaging of Motor Potentials Induced by Finger Movement. Journal of Neural Engineering, 8: 036008, 2011. DOI: 10.1088/1741-2560/8/3/036008.
  16. Ding L: Dynamic connectivity map on ECoG: A new computed signature in defining epileptogenic zone. Clinical Neurophysiology, 120: 1419-1421, 2009 (Editorial).
  17. Ding L, Zhang NY, Chen W, and He B: Three-dimensional Imaging of Complex Neural Activation in human from EEG. IEEE Trans. Biomedical Engineering, 56(8): 1980-1988, 2009.
  18. Ding L: Reconstructing Cortical Current Density by Exploring Sparseness in the Transform Domain. Physics in Medicine and Biology, 54: 2683-2697, 2009.
  19. Wilke C, Ding L, and He B: Estimation of Time-varying Connectivity through the Use of an Adaptive Directed Transfer Function. IEEE Trans. Biomedical Engineering, 55(11): 2557-2564, 2008.
  20. Ding L, and He B: Sparse source imaging in EEG with accurate field modeling. Human brain mapping, 29: 1053-1067, 2008.
  21. 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, and Babiloni F: Imaging functional brain connectivity patterns from high-resolution EEG andfMRI via graph theory. Psychophysiology, 44(6): 880-893, 2007.
  22. Ding L, Wilke C, Xu B, Xu XL, van Drongelen W, Kohrman M, and He B: EEG source imaging: correlate source locations and extents with ECoG and surgical resections inepilepsy. J. of Clinical Neurophysiology, 24(2): 130-136, 2007.
  23. Ding L, Worrell GA, Lagerlund TD, and He B: Ictal source analysis: localization andimaging of causal interactions in humans. NeuroImage, 34: 575-586, 2007.
  24. 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: Comparison of different cortical connectivity estimators for high-resolution EEG recordings. HumanBrain Mapping, 28(2): 143-157, 2007.
  25. Ding L, Worrell GA, Lagerlund TD, and He B: 3D Source localization of interictal spikes in epilepsy patients with MRI lesions. Physics in Medicine and Biology, 51(16): 4047-4062, 2006.
  26. Ding L, and He B: Spatio-temporal EEG source localization using a three-dimensional subspace FINE approach in a realistic geometry inhomogeneous head model. IEEE Trans. Biomedical Engineering, 53(9): 1732-1739, 2006.
  27. Zhang YC, Ding L, van Drongelen W, Hecox K, Frim D, and He B: Cortical potential imaging by means of the finite element method and its application to simultaneous extra- and intra-cranial electrical recordings. NeuroImage, 31(4): 1513-1524, 2006.
  28. Liu Z, Ding L, and 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
  29. Ding L, Lai Y, and He B: Low resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study. Physics in Medicine and Biology, 50: 45-56, 2005.
  30. Lai Y, van Drongelen W, Ding L, Hecox KE, Towle VL, Frim DM, and He B: Estimation of in vivo human brain-to-skull conductivity ratio from simultaneous extra- and intra-cranial electrical potential recordings. Clinical Neurophysiology, 116: 456-465, 2005.
  31. 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: 118-131, 2005.
  32. 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.
  33. 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 Trans. Biomedical Engineering, 52(5): 757-768, 2005.
  34. Qin L, Ding L, and He B: Motor Imagery Classification by Means of Source Analysis for Brain Computer Interface Applications. J. of Neural Eng. 1(3): 127-134, 2004.
  35. Astolfi L, Cincotti F, Mattia D, Ding L, Ni Y, He B, Salinari S, and Babiloni F: Estimating Causality Among Cortical Areas of The Human Brain: AStudy on The Application of Directed Transfer Function and Structural Equation Modeling on High Resolution EEG. Int. J. of Bioelectromagnetism, 6(2): 1-26, 2004
  36. Astolfi L, Cincotti F, Mattia D, Salinari S, Babiloni C, Basilisco A, Rossini PM, Ding L, Ni Y, He B, Marciani MG and Babiloni F: Estimation of the effective and functional human cortical connectivity with structural equation modeling and directed transfer function applied to high resolution EEG. Magnetic Resonance Imaging. 22: 1457-70, 2004.

  1. Zhu M, Zhang WB, Dickens D, and Ding L: Wavelet-based Sparse Source Imaging in Localizing Epileptic Sources for Partial Epilepsy. Proc. of the 6th InternationalIEEE EMBS Neural Engineering Conference, 537- 540, 2013.
  2. Dasari D, Shou GF, and Ding L: Investigation of Independent Components based EEG Metrics for Mental Fatigue in Simulated ATC Task. Proc. of the 6th International IEEE EMBS Neural Engineering Conference, 1331-1334, 2013.
  3. Shou GF and Ding L: Ongoing EEG Oscillatory Dynamics Suggesting Evolution of Mental Fatigue in a Color-word Matching Stroop Task. Proc. of the 6th International IEEE EMBS Neural Engineering Conference, 1339-1342, 2013.
  4. Xiao R, Liao K, and Ding L: Towards Noninvasive BCI by Decoding Individual Finger Movements using EEG. Proceedings of the Fifth International Brain-Computer Interface Meeting, accepted 2013.
  5. Im CH, Ding L, Wang YW, and Kim SP: Computational Methods in Neuroengineering. Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 617347, 2 pages, 2013. doi:10.1155/2013/617347 (Editorial).
  6. Shou GF and Ding L: Frontal Theta EEG Dynamics in a Real-world Air Traffic Control Task. Proc. of Annual Int. Conf. of IEEE-EMBS, accepted, 2013.
  7. Ding L, Zhu M, and Liao K: Wavelet Based Sparse Source Imaging Technique. Proc. of Annual Int. Conf. of IEEE-EMBS, accepted, 2013.
  8. Zhu M, Zhang WB, Dickens DL, and Ding L: Evaluations of Sparse Source Imaging and Minimum Norm Estimate Methods in both Simulation and Clinical MEG Data. Proc. of Annual Int. Conf. of IEEE-EMBS, 2012:6744-7, 2012. doi: 10.1109/EMBC.2012.6347542.
  9. Xiao R, Liao K, Ding L: Discriminating Multiple Motor Imageries of Human Hands Using EEG. Proc. of Annual Int. Conf. of IEEE-EMBS, 2012:1773-6. doi: 10.1109/EMBC.2012.6346293.
  10. Ding L, Yuan H: Sparse Electromagnetic Source Imaging using Combined EEG and MEG. Proc. of Annual Int. Conf. of IEEE-EMBS,2012:6224-7. doi: 10.1109/EMBC.2012.6347416.
  11. Zhu M, Zhang WB, Dickens DL, and Ding L: Sparse MEG Source Imaging in Landau-Kleffner Syndrome. Proc. of Annual Int. Conf. of IEEE-EMBS, 4909-4912, 2011.
  12. Ding L and Yuan H: Investigation of EEG and MEG Source Imaging Accuracy in Reconstructing Extended Cortical Sources. Proc. of Annual Int. Conf. of IEEE-EMBS, 7013-7016, 2011, (oral).
  13. Yu TY, Ding L, and Oztuk, S: Application of Compressive Sensing to Refractivity Retrieval with a Network of Radars. Proc. of RadarCon 2011-IEEE Radar Conference, 757-761, 2011.
  14. Ding L, Zhu M, Zhang WB, and Dickens DL: Variation-based Sparse Cortical Current Density Imaging in Estimating Cortical Sources with MEG Data. Proc. of Annual Int. Conf. of IEEE-EMBS, 5145-5148, 2010, (oral).
  15. Dasari D, Crowe C, Ling C, Zhu M, and Ding L: EEG Pattern Analysis for Physiological Indicators of Mental Fatigue in Simulated Air Traffic Control Tasks. Proceedings of the HFES 53rd Annual Meeting, 205-209, 2010, (oral).
  16. Ding L: L1-norm and L2-norm Neuroimaging Methods in Reconstructing Extended Cortical Sources from EEG. Proc. of Annual Int. Conf. of IEEE-EMBS, 1922-1925, 2009 (invited oral).
  17. Ding L: A Novel Sparse Source Imaging in Reconstructing Extended Cortical Current Sources. Proc. of Annual Int. Conf. of IEEE-EMBS, 4555-4558, 2008 (invited oral).
  18. Ding L and He B: Sparse Source Imaging in EEG. Proc. of The Joint Meeting of the 6th Int. Symposium on NFSI & The Int. Conf. on Functional Biomedical Imaging, 20-23, 2007 (oral).
  19. Wilke C, Ding L, and He B: An Adaptive Directed Transfer FunctionApproach for Detecting Dynamic Causal Interactions. Proc. of Annual Int. Conf. of IEEE-EMBS, 4949-4952, 2007 (poster).
  20. Ding L, Worrell GA, Lagerlund TD, and He B: Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis. Proc. of Annual Int. Conf. of IEEE-EMBS, 3670-3671, 2006 (invited oral).
  21. Babiloni F, Mattia D, Basilisco A, Astolfi L, Cincotti F, Ding L, Christine K, Sweeney J, Edgar JC, Miller GA, He B: Improved estimation of human cortical activity and connectivity with the multimodal integration of neuroelectric and hemodynamic data. Proc. of Annual Int. Conf. of IEEE-EMBS, 5888-5891, 2005.
  22. Ding L, Worrell GA, Lagerlund TD, and He B: High-resolution Multiple Dipole Sources Localization of Epileptogenic Foci in Patients with MRI Lesions. Epilepsia, 60, suppl. 8, 314, 2005 (poster).
  23. Ding L and He B: 3-Dimensional Brain Source Imaging by Means of Laplacian Weighted Minimum Norm Estimate in a RealisticGeometry Head Model. Proc. of Annual Int. Conf. of IEEE-EMBS, 2457(1-4), 2005 (oral).
  24. Ding L and He B: Multiple Dipole Sources Localization from the Scalp EEG Using a High-resolution Subspace Approach. Proc. of Annual Int. Conf. of IEEE-EMBS, 2512(1-4), 2005 (oral).
  25. Ding L and He B. Imaging Brain Electric Sources by Means of a New Subspace Source Localization Approach–3D-FINE. Proc. BEM & NFSI Conf., 38-41, 2005 (invited oral).
  26. Babiloni F, Mattia D, Basilisco A, Astolfi L, Cincotti F, Ding L, Christine K,Sweeney J, Edgar JC, Miller GA, and He B: Improved Estimation of Human Cortical Activity and Connectivity with the Multimodal Integration ofNeuroelectric and Hemodynamic Data Related to Motor and Cognitive Tasks. Proc. BEM & NFSI Conf., 5-8, 2005 (poster).
  27. Lai Y, van Drongelen W, Ding L, Hecox KE, Towle VL, Frim DM, He B: Estimation of in vivo Human Brain-to-Skull Conductivity Ratio by means of Cortical Potential Imaging. Proc. BEM & NFSI Conf., 311-312, 2005 (oral).
  28. Qin L, Kamousi B, Liu ZM, Ding L, and He B: Classification of Motor Imagery Tasks by means of Time-Frequency-Spatial Analysis for Brain-Computer Interface Applications. Proc. of 2nd International IEEE EMBS Special Topic Conference on Neural Engineering (CD-ROM), 2005 (oral).
  29. He B and Ding L: From high-resolution EEG to electrophysiological neuroimaging. Frontiers in Human Brain Topography, M Nakagawa et al. Eds, pp: 3-8, 2004 (invited oral).
  30. He B and Ding L: Electrophysiological neuroimaging. Proceedings of the 2nd World Congress for Chinese Biomedical Engineers, 2004 (invited oral).
  31. Ding L, Xu XL, Xu B, Ying N, and He B: Reduced spatial correlated noise influence using subspace source localization method FINES. Proc. Of Annual Int. Conf. of IEEE-EMBS, 4393-4396, 2004 (invited oral).
  32. Astolfi L, Babiloni F, Babiloni C, Carducci F, Cincotti F, Basilisco A, Rossini PM, Salinari S, Ni Y, He B, and Ding L: Time-varying cortical connectivity by high resolution EEG and directed transfer function: simulations and application to finger tapping data. Proc. Of Annual Int. Conf. of IEEE-EMBS, 4405-4408, 2004.
  33. Qin L, Deng J, Ding L, and He B: Motor Imagery Classification by Means of Source Analysis Methods. Proc. Of Annual Int. Conf. of IEEE-EMBS, 4356-4358, 2004 (poster).
  34. Zhang YC, Zhu SA, Ding L, Liu ZM, and He B: On the Forward Problem of EEG Cortical Imaging by means of Finite Element Method. Proc. Of AnnualInt. Conf. of IEEE-EMBS, 440－442, 2004 (poster).
  35. Astolfi L, Babiloni F, Babiloni C, Carducci F, Cincotti F, Basilisco A, Rossini PM, Salinari S, Ding L, Ni Y, and He B: Time-Varying Cortical Connectivity by High Resolution EEG and Directed Transfer Function: Simulations and Applications to Finger Tapping Data. Proc. BEM & NFSI Conf., 2004 (oral).
  36. Ni Y, Ding L, Cheng J, Christine K, Lian J, Zhang X, Grusazuskas N, Sweeney J, and He B: EEG Source Analysis of Motor Potentials Induced by Fast Repetitive Unilateral Finger Movement. Proc. of IEEE EMBS International Conference on Neural Engineering, 2003 (oral).
  37. Ding L, Goldstein A, Lian J, Donchin E, and He B. Cortical imaging of P300 component elicited by isolate words using different memory rehearsal strategies. Proceedings of 4th International Conference on Bioelectromagnetism, 2002 (oral).
  1. Shou GF, Guo Q, Li CB, Lim K, Wang JJ, He B, and Ding L: Repetitive TMS Induces Brain Response Changes in Schizophrenia Patients: an EEG Study. Proc. of 2014 IEEE International Symposium on Biomedical Imaging, 28 April-2 May, 2014, Beijing, China.
  2. Yuan H, Ding L, Zhu M, and Bodurka J: Reconstructing Resting State Brain Networks from High-resolution EEG. Proc. Of 22nd Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 10-16 May, 2014, Milan, Italy.
  3. Zhu M and Ding L: Reconstructing Cortical Sources by Exploring Sparseness in Multiple Transform Domain. 6th International IEEE EMBS Neural Engineering Conference, 6-8 November, 2013, San Diego, CA, accepted.
  4. Xiao R and Ding L: Single-trial Classification of Individual Finger Movements from One Hand: A Study using Multi-class Appraoch. 6th International IEEE EMBS Neural Engineering Conference, 6-8 November, 2013, San Diego, CA, accepted.
  5. Shou GF and Ding L: Ongoing Multifaceted Electrophysiological Signatures of Error Precursors Unraveled by Independent Component Analysis. 6th International IEEE EMBS Neural Engineering Conference, 6-8 November, 2013, San Diego, CA, accepted.
  6. Xiao R and Ding L: Decoding finger movements from on hand pairwise using EEG. Annual Meeting of Neuroscience 2013. 9-13 November, 2013, San Diego, CA, accepted.
  7. Ozturk S, Yu TY, Ding L, Feng N, Cheong BL: Application of Compressive Sensing to Atmospheric Observations with Imaging Radar, 36th Conference on Radar Meteorology, 16-20 September, 2013, Breckenridge, CO, accepted.
  8. Shou GF, Dasari D, and Ding L: Neuroergonomic Analysis of Air Traffic Control Performance, Part II: Assessment of Mental State by EEG – From Cognitive Paradigm to ATC Task, Oklahoma/Kansas Judgment and Decision Making Group Workshop, 4, May, 2013, Oklahoma City, OK.
  9. Dasari D, Shou GF, and Ding L: Neuroergonomic Analysis of Air Traffic Control Performance, Part III: Assessment of Mental State by EEG in ATC Task, Oklahoma/Kansas Judgment and Decision Making Group Workshop, 4, May, 2013, Oklahoma City, OK.
  10. Dasari D, Shou GF, and Ding L: Component based EEG Indices for the Time-on-Task Effect and Workload in Realistic Simulated ATCTasks. 2013 Annual Meeting of the Biomedical Engineering Society, 25-28 September, 2013, Seattle, WA.
  11. Xiao R and Ding L: Decoding Individual Finger Movements using Noninvasive EEG. Proceedings of the 5th International Brain-Computer Interface Meeting: Defining the Future, ISBN 978-3-85125-260-6 and DOI 10.3217/978-3-85125-260-6, 3-7, June, 2013, Pacific Grove, CA.
  12. Ding L, Zhu M, and Liao K: Sparse Source Imaging Using a Novel Face-based Wavelet Transform. 19th Annual Meeting of the Organization for Human Brain Mapping, 16-20, June, 2013, Seattle, WA, 2013.
  13. Yuan H, Ding L, Zhu M, and Bodurka J: Spatial and Temporal Similarity of EEG Microstates and BOLD Resting State Networks. 19th Annual Meeting of the Organization for Human Brain Mapping, 16-20, June, 2013, Seattle, WA, 2013.
  14. Shou GF, Dasari D, and Ding L: Mapping Neural Rhythmic Activities from Continuous EEG in a Realistic Task: a Time-frequency Independent Component Analysis. 19th Annual Meeting of the Organization for Human Brain Mapping, 16-20, June, 2013, Seattle, WA.
  15. Yuan H, Ding L, Zhu M, and Bodurka J: Simultaneous fMRI and EEG Study of Never Resting Brain: Spatial and Temporal Similarity of EEG Microstates Cortical Representation and BOLD Resting State Networks. Proc. of 21st Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), 20-26, April, 2013, Salt Lake City, Utah.
  16. Zhu M, Liao K, and Ding L: Wavelet-based Sparse Source Imaging using MEG. 18th Annual Meeting of the Organization for Human Brain Mapping, 10-14, June, 2012, Beijing, China.
  17. Ding L, Yuan H, and Zhu M: Integration of EEG and MEG in Sparse Source Imaging. 18th Annual Meeting of the Organization for Human Brain Mapping, 10-14, June, 2012, Beijing, China.
  18. Ding L and Yuan H: Simultaneous EEG and MEG Analysis in Reconstructing Brain Activity. World Congress 2012 on Medical Physics and Biomedical Engineering, 26-31, May, 2012, Beijing, China.
  19. Zhu M, Ding L, Zhang WB, Dickens D, and King JA: Sparse MEG source imaging in estimating epileptic sources under interictal spikes for partial epilepsy. World Congress 2012 on Medical Physics and Biomedical Engineering, 26-31, May, 2012, Beijing, China.
  20. Dasari D, Krishnan VK, Zhu M, and Ding L: EEG correlates of time-on-task mental fatigue in an air traffic control task. World Congress 2012 on Medical Physics and Biomedical Engineering, 26-31, May, 2012, Beijing, China.
  21. Tran K and Ding L: An assessment of BCI2000 Speller toward an optimization. Undergraduate Research Day of the University of Oklahoma, March 31, 2012, Norman, Oklahoma.
  22. Windham K and Ding L: P300 Brain Signal Analysis. Undergraduate Research Day of the University of Oklahoma, March 31, 2012, Norman, Oklahoma.
  23. Xiao R, Liao K, Gonzales JM, and Ding L: Decoding Individual Finger Movements from One Hand using EEG. Student Research and Performance Day of the University of Oklahoma, March 2, 2012, Norman, Oklahoma.
  24. Xiao R, Liao K, Gonzales JM and Ding L: Noninvasive EEG in Decoding Individual Finger Movements. GPiS Graduate Student Research Poster Session of the University of Oklahoma, March 9, 2012, Norman, Oklahoma.
  25. Ozturk S, Yu TY, and Ding L: Application of CS to refractivity retrieval over networked radar. International Symposium on Earth-Science Challenges, 14-30, September, 2011, Norman, OK.
  26. Bailey L, Dasari D, and Ding L: Identifying Behavior Correlates of Time on Task Fatigue within a PC-Based Air Traffic Control Simulation. 83rd Annual Scientific Meeting of the Aerospace Medical Association, May, 2012, Atlanta, GA.
  27. Ozturk S, Yu TY, and Ding L: Application of compressive sensing to refractivity retrieval using networked weather radar. 35th Conference on Radar Meteorology, 26-30 September, 2011, Pittsburgh, PA.
  28. Bailey L and Ding L: EEG Indicators of Time on Task Fatigue Associated with Air Traffic Control Performance. 82th Annual Scientific Meeting of the Aerospace Medical Association, May, 2011, Anchorage, AK.
  29. Zhu M, Ding L, Zhang WB, Dickens DL, and King JA: Non-invasively Reconstructing Epileptogenic zones using Scalp MEG Data for Pre-Surgical Evaluation. 64th Annual Meeting of American Epilepsy Society & 3rd Biennial North American Regional Epilepsy Congress, 3-7 December, 2010, SanAntonio, Texas (poster)
  30. Dasari D, Crowe C, Ling C, Zhu M, and Ding L: Development of Mental Fatigue in Simulated Air Traffic Control Tasks Studied by EEG. 2010 Annual Meeting of the Biomedical Engineering Society, 6-9 October, 2010, Austin, Texas (poster).
  31. Zhu M, Ding L, Zhang WB, Dickens DL, and King JA: Non-invasively Reconstructing Cortical Sources of Interictal Spikes using Scalp MEG Data from Epilepsy Patients. 2010 Annual Meeting of the Biomedical Engineering Society, 6-9 October, 2010, Austin, Texas (poster).
  32. Ding L and He B: Sparse Source Imaging in EEG without the Orientation Bias. IEEE Statistical Signal Processing Workshop 2007, 26-29 August, 2007, Madison, Wisconsin (poster).
  33. Yuan H, Ding L, Doud AJ, Gururajan A, and He B: Primary Motor Cortex Contributes to Control of Brain-Computer Interface Based on Imagined Hand Motion. 6th Design of Medical Devices Conference, 17-19 April, 2007, Minneapolis, Minnesota (poster).
  34. Yuan H, Ding L, Liu ZM, Hewitt A, and He B: Source Analysis of Brain Electrical Activity during Motor Imagery for Brain Computer Interface Applications. 5th LifeScience Alley Conference & EXPO, 6 December, 2006, St. Paul, Minnesota (poster).
  35. Ding L, Worrell GA, Lagerlund TD, and He B: High-resolution Multiple Dipole Sources Localization of Epileptogenic Foci in Patients with MRI Lesions. 5th LifeScience Alley Conference & EXPO. 6 December 2006. St. Paul, Minnesota (poster).
  36. Ding L, Worrell GA, Lagerlund TD, and He B: Spatio-temporal source localization and causal interaction estimation in ictal source analysis. 1st North American Regional Epilepsy Congress, Annual Meetings of the American Epilepsy Society & Ganadian League Against Epilepsy. 1-5 December 2006. San Diego, CA (poster).
  37. Ding L, Worrell GA, Lagerlund TD, and He B: Ictal source analysis: Spatio-temporal source localization and causal interaction estimation. Annual Meeting of Neuroscience 2006. 14-18 October. Atlanta, Georgia, USA (poster).
  38. Ding L and He B: Spatiotemporal EEG Source Localization Using a New Subspace Approach: FINE. 11th Annual Meeting of the Organization for Human Brain Mapping. 12-16 June 2005. Toronto, Canada (poster).
  39. Ding L, Worrell GA, Lagerlund TD, and He B: Localization of Ictal Discharge Generators in Patients with MRI-Demonstrated Lesions using FINE. 11th Annual Meeting of the Organization for Human Brain Mapping. 12-16 June 2005. Toronto, Canada (poster).
  40. Ding L and He B: Low resolution brain electromagnetic tomography in a realistic geometry head model: a simulation study. 11th Annual Meeting of the Organization for Human Brain Mapping. 12-16 June 2005. Toronto, Canada (poster).

BOOKS/BOOK CHAPTERS
He B and Ding L, Electrophysiological Mapping and Neuroimaging, Chapter in Neural Engineering, 2nd version, Edited by Bin He, Kluwer Academic/Plenum Publishers, 2012.
TECHNIQUE REPORTS
Krishnan VK, Dasari D, and Ding L. EEG Correlates of Fluctuations in Cognitive Performance in an Air Traffic Control Task. Federal Aviation Administration. 2012.