Carnegie Mellon University
Department of Biomedical Engineering  ›  Biomedical Functional Imaging and Neuroengineering Laboratory  ›  Publications

Journal Publications

Preprints

  1. Kim M*, Yu K*, Fouda R, Argueta D, Kiven S, Ni Y, Niu X, Chen Q, Kim K, Gupta K, He B: “Low-intensity transcranial focused ultrasound changes pain-associated behaviors by modulating pain processing brain circuits,” bioRxiv, doi: https://doi.org/10.1101/2022.12.07.519518 (* contributed equally).
  2. Kosnoff J, Yu K, Liu C, He B: "Transcranial Focused Ultrasound to V5 Enhances Human Visual Motion Brain-Computer Interface by Modulating Feature-Based Attention," bioRxiv, doi: https://doi.org/10.1101/2023.09.04.556252 
  3. Forenzo D, Zhu H, Shanahan J, Lim J, He B: "Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer Interface," bioRxiv, doi: https://doi.org/10.1101/2023.10.12.562084
  4. Sun R, Sohrabpour A, Joseph B, Worrell G, He B: "Spatiotemporal Rhythmic Seizure Sources Can be Imaged by means of Biophysically Constrained Deep Neural Networks," medRxiv, doi: https://doi.org/10.1101/2023.11.30.23299218

2023

  1. Forenzo D, Liu Y, Kim J, Ding Y, Yoon T, He B: “Integrating simultaneous motor imagery and spatial attention for EEG-BCI control,” IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2023.3298957, 2023. 
  2. Sun R, Zhang W, Bagic A, He B: "Deep learning based source imaging provides strong sublobar localization of epileptogenic zone from MEG interictal spikes," NeuroImage, 281, 120366. https://doi.org/10.1016/j.neuroimage.2023.120366, 2023.
  3. Ye S, Bagic A, He B: “Disentanglement of Resting State Brain Networks for Localizing Epileptogenic Zone in Focal Epilepsy,” Brain Topography. https://doi.org/10.1007/s10548-023-01025-z

2022

  1. Sun R, Sohrabpour A, Worrell GA, He B: "Deep Neural Networks Constrained by Neural Mass Models Improve Electrophysiological Source Imaging of Spatio-temporal Brain Dynamics," PNAS, 119(31), e2201128119, 2022.
  2. Kim J, Jiang X, Forenzo D, Liu Y, Anderson N, Greco CM, He B: “Immediate effects of short-term meditation on sensorimotor rhythm-based brain–computer interface performance,” Frontiers in Human Neuroscience, https://doi.org/10.3389/fnhum.2022.1019279, 2022.
  3. Cai Z, He B: “Ictal Source Localization from Intracranial Recordings,” Clinical Neurophysiology, https://doi.org/10.1016/j.clinph.2022.09.013, 2022.
  4. Zhu H, Forenzo D, He B: “On the Deep Learning Models for EEG-based Brain-Computer Interface Using Motor Imagery,” IEEE Trans. Neural Systems and Rehabilitation Engineering, 30: 2283-2291, 2022.
  5. Ramachandran S, Niu R, Yu K, He B: "Transcranial ultrasound neuromodulation induces neuronal correlation change in the rat somatosensory cortex," Journal of Neural Engineering, https://doi.org/10.1088/1741-2552/ac889f, 19, 056002, 2022.
  6. Jiang H, Kokkinos V, Ye S, Urban A, Bagic A, Richardson M, He B: “Interictal SEEG resting-state connectivity localizes the seizure onset zone and predicts seizure outcome,” Advanced Science, https://doi.org/10.1002/advs.202200887, 2022.
  7. Niu X, Yu K, He B: “Transcranial focused ultrasound induces sustained synaptic plasticity in rat hippocampus,” Brain Stimulation, 15(2): 352-359, 2022.
  8. Shin H, Suma D, He B: “Closed-loop motor imagery EEG simulation for brain-computer interfaces,” Frontiers of Human Neuroscience, https://doi.org/10.3389/fnhum.2022.951591, 2022.
  9. Guo X, Wang M, Wang X, Guo M, Xue T, Wang Z, Li H, Xu T, He B, Cui D, Tong S: “Progressive Increase of High-Frequency EEG Oscillations during Meditation is Associated with its Trait Effects on Heart Rate and Proteomics: A Study on the Tibetan Buddhist,” Cerebral Cortex, 32(18): 3865-3877, 2022.
  10. Jiang X, Ye S, Sohrabpour A, Bagić A, He B. "Imaging the extent and location of spatiotemporally distributed epileptiform sources from MEG measurements". NeuroImage: Clinical, 33, 102903. https://doi.org/10.1016/j.nicl.2021.102903, 2022.

2021

  1. Kim MG, Yu K, Niu X, He B. Investigation of displacement of intracranial electrode induced by focused ultrasound stimulation. IEEE Transactions on Instrumentation and Measurement. 70:1–9, 2021.
  2. Cai Z, Sohrabpour A, Jiang H, Ye S, Joseph B, Brinkmann BH, Worrell G, He B: “Noninvasive High-frequency Oscillations Riding Spikes Delineates Epileptogenic Sources” PNAS, 118 (17) e20111301182021, https://doi.org/10.1073/pnas.2011130118, 2021.
  3. Yu K*, Niu X*, Krook-Magnuson E, He B: “Intrinsic Functional Neuron-type Selectivity and Inter-neuronal Connectivity Alteration by Transcranial Focused Ultrasound,” Nature Communications, 12, 2519, https://doi.org/10.1038/s41467-021-22743-7, 2021 (* co-first-authors). 
  4. DeBari MK, Niu X, Scott JV, Griffin MD, Pereira SR, Cook KE, He B, and Abbott RD: “Therapeutic Ultrasound Triggered Silk Fibroin Scaffold Degradation,” Adv. Healthcare Mater., 2100048, 2021.
  5. Ye S, Yang L, Lu Y, Kucewicz MT, Brinkmann B, Nelson C, Sohrabpour A, Worrell G, He B: “Ictal Source Imaging Contributes to Seizure Onset Zone Localization in Focal Epilepsy Patients,” Neurology, 96(3), DOI: 10.1212/WNL.0000000000011109, 2021.
  6. Stieger J, Engel S, Jiang H, Cline CC, Kreitzer MJ, He B: “Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band,” Cerebral Cortex, 31(1): 426-438, 2021.

  7. Stieger J, Engel S, Suma D, He B: “Benefits of deep learning classification of continuous noninvasive brain-computer interface control,” Journal of Neural Engineering, May 26, 2021.

  8. Jiang H, Stieger J, Kreitzer MJ, Engel S, He B: “Frontolimbic alpha activity tracks intentional rest BCI control improvement through mindfulness meditation,” Scientific Reports, 11, 6818, 2021.

  9. Stieger S, He B: “Continuous Sensorimotor Rhythm Based Brain Computer Interface Learning in a Large Population,” Scientific Data, 8, 98, 2021.

  10. Sohrabpour A, He B: “Exploring the Extent of Source Imaging: Recent Advances in Noninvasive Electromagnetic Brain Imaging,” Current Opinion in Biomedical Engineering, doi.org/10.1016/j.cobme.2021.100277, 2021. 

  11. Liu C*, Yu K*, Niu X, He B: “Transcranial Focused Ultrasound Enhances Sensory Discrimination Capability through Somatosensory Cortical Excitation,” Ultrasound in Medicine and Biology, 47(5): 1356-1366, 2021 (* co-first-authors).

  12. Jiang X, Lopez E, Stieger J, Greco CM, He B: “Effects of Long-Term Meditation Practices on Sensorimotor Rhythm Based Brain-Computer Interface Learning,” Frontiers in Neuroscience, https://doi.org/10.3389/fnins.2020.584971, 2021.

  13. Fried PJ, Santarnecchi E, Antal A, Bartres-Faz D, Bestmann S, Carpenter LL, Celnik P, Edwards D, Farzan F, Fecteau S, George MS, He B, Kim Y, Leocani L, Lisanby SH, Loo C, Luber B, Nitsche MA, Paulus W, Rossi S, Rossini PM, Rothwell J, Sack AT, Thut G, Ugawa Y, Ziemann U, Hallett M, Pascual-Leone A: “Training in the practice of noninvasive brain stimulation: recommendations from an IFCN committee,” Clinical Neurophysiology, 132(3): 819-837, 2021.

  14. Yu K, Liu C, Niu X, He B: “Transcranial Focused Ultrasound Neuromodulation of Voluntary Movement-related Cortical Activity in Humans,” IEEE Transactions on Biomedical Engineering, 68(6), 1923-1931, 2021

2020

  1. Suma D, Meng J, Edelman B, He B: “Spatial-temporal aspects of continuous EEG-based neurorobotic control,” Journal of Neural Engineering, 17, 066006, 2020.
  2. Yu K*, Niu R*, He B: “Neuromodulation Management of Chronic Neuropathic Pain in The Central Nervous system,” Advanced Functional Materials, (* co-first-author), 20(37) doi: https://doi.org/10.1002/adfm.201908999, 2020
  3. Sohrabpour A, Cai Z, Ye S, Brinkmann BH, Worrell G, He B: “Noninvasive electromagnetic source imaging of spatiotemporally distributed epileptogenic brain sources,” Nature Communications, 11, 1946, 2020. Read full paper
  4. Jiang H, He B, Guo X, Wang X, Guo M, Wang Z, Xue T, Li H, Xu T, Ye S, Suma D, Tong S, Cui D: “Brain–Heart Interactions Underlying Traditional Tibetan Buddhist Meditation,” Cerebral Cortex, 30(2), 439–450, 2020.

2019

  1. Jiang H, Cai Z, Worrell G, He B: “Multiple Oscillatory Push-Pull Antagonisms Constrain Seizure Propagation,” Annals of Neurology, 86(5): 683-694, 2019.
  2. Wang Y, Van de Moortele PF, He B. Automated gradient-based electrical properties tomography in the human brain using 7 Tesla MRI. Magnetic resonance imaging. 63: 258-266, 2019. DOI: 10.1016/j.mri.2019.08.003.
  3. He B, Astolfi L, Valdés-Sosa PA, Marinazzo D, Palva SO, Bénar CG, Michel CM, and Koenig T: “Electrophysiological Brain Connectivity: Theory and Implementation,” IEEE Transactions on Biomedical Engineering, 66(7): 2115 – 2137, 2019.
  4. Edelman BJ, Meng J, Suma D, Zurn C, Nagarajan E, Baxter BS, Cline CC, He B: “Noninvasive neuroimaging enhances continuous neural tracking for robotic device control,” Science Robotics, Vol. 4, Issue 31, eaaw6844, 2019. read full paper
  5. Meng J, He B: “Exploring training effect in 42 human subjects using a noninvasive sensorimotor rhythm based online BCI,” Frontiers on Human Neuroscience, April 17, 13:128, https://doi.org/10.3389/fnhum.2019.00128, 2019
  6. Wang Y, Van de Moortele PF, He B: “CONtrast Conformed Electrical Properties Tomography (CONCEPT) based on Multi-channel Transmission and Alternating Direction Method of Multipliers,” IEEE Transactions on Medical Imaging, 38(2): 349-359, 2019.
  7. Case M, Shirinpour S, Vijayakumar V, Zhang H, Datta Y, Nelson S, Pergami, Darbari D, Gupta K, He B: “Graph Theory Analysis Reveals How Sickle Cell Disease Impacts Neural Networks of Patients with More Severe Disease,” NeuroImage: Clinical, Vol 21, 101599, 2019.
  8. Yang T, Pogwizd S, Walcott GP, Yu L, He B: “Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain - Application to Mapping Reentrant Ventricular Tachycardia,” IEEE Transactions on Medical Imaging, 38(2): 525-539, 2019.
  9. Wang Y, Shao Q, Van de Moortele PF, Racila E, Liu J, Bischof J, He B: “Mapping electrical properties heterogeneity of tumor using boundary informed electrical properties tomography (BIEPT) at 7T,” Magnetic Resonance in Medicine, 81(1):393-409, 2019.

2018

  1. Cline C, Coogan C, He B: “EEG electrode digitization with commercial virtual reality hardware,” PLoS ONE,13(11), https://doi.org/10.1371/journal.pone.0207516, Nov 21, 2018.

  2. Niu X, Yu K, He B: “On the Neuromodulatory Pathways of the In Vivo Brain by Means of Transcranial Focused Ultrasound,” Current Opinion in Biomedical Engineering, 8: 61-69, 2018.

  3. Meng J, Streitz T, Gulacheck N, Suma D, He B: “Three-Dimensional Brain-Computer Interface Control Through Simultaneous Overt Spatial Attention and Motor Imagery Tasks,” IEEE Transactions of Biomedical Engineering, 65: 2417-2427, 2018.

  4. Cluitmans M, Brooks D, MacLeod RS, Doessel O, Guillem M, Van Dam P, Svehlikova J, He B, Sapp J, Wang L, Bear LR: “Validation and opportunities of electrocardiographic imaging: From technical achievements to clinical applications”, Frontiers in Physiology-Cardiac Electrophysiology, 9:1305, https://doi.org/10.3389/fphys.2018.01305, September 2018.

  5. Hosseini SA, Sohrabpour A, Akcakaya M, He B: “Electromagnetic Brain Source Imaging by Means of a Robust Minimum Variance Beamformer,” IEEE Transactions on Biomedical Engineering, 65: 2365 – 2374, 2018.

  6. He B, Sohrabpour A, Brown E, Liu Z: "Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics," Annual Review of Biomedical Engineering, 20: 171-196, 2018.

  7. Johnson NN, Carey J, Edelman BJ, Doud A, Grande A, Lakshminarayan K, He B: "Combined rTMS and Virtual Reality Brain-Computer Interface Training for Motor Recovery After Stroke," Journal of Neural Engineering, 15(1):016009, 2018.

  8. Edelman B, Meng J, Gulachek N, Cline C, He B: "Exploring Cognitive Flexibility with a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(56): 936-947, 2018.

  9. Meng J, Edelman B, Olsoe J, Jacobs G, Zhang S, Beyko A, He B: “A Study of the Effects of Electrode Number and Decoding Algorithm on Online EEG-Based BCI Behavioral Performance,” Frontiers in Neuroscience, doi: 10.3389/fnins.2018.00227, April 2018.

  10. Coogan C, He B: "Brain-computer interface control in a virtual reality environment and applications for the internet of things," IEEE Access, 6: 10840 – 10849, 2018.

  11. He B, Sohrabpour A, Brown E, Liu Z: "Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics," Annual Review of Biomedical Engineering, doi: 10.1146/annurev-bioeng-062117-120853. [Epub ahead of print], 2018.

  12. Seeck M, Bast T, Leijten F, He B, Beniczky S: "Reply to '10-10 Electrode System for EEG Recording'," Clinical Neurophysiology, 2018.
  13. Katyal S, Vergeer M, He S, He B, Engel SA: "Conflict-Sensitive Neurons Gate Interocular Suppression in Human Visual Cortex," Scientific Reports, 8(1):1239, 2018.
  14. Johnson NN, Carey J, Edelman BJ, Doud A, Grande A, Lakshminarayan K, He B: "Combined rTMS and Virtual Reality Brain-Computer Interface Training for Motor Recovery After Stroke," Journal of Neural Engineering, 15(1):016009, 2018.

  15. Yu L, Jin Q, Zhou Z, Wu L, He B: “Three-Dimensional Noninvasive Imaging of Ventricular Arrhythmias in Patients with Premature Ventricular Contractions,” IEEE Transactions on Biomedical Engineering, 65: 1495-1503, 2018.

  16. Yang T, Yu L, Jin Q, Wu L, He B: “Localization of Origins of Premature Ventricular Contraction by Means of Convolutional Neural Network from 12-lead ECG,” IEEE Transactions on Biomedical Engineering, 65: 1662-1671, 2018.

2017

  1. Baxter BS, Edelman BJ, Sohrabpour A, He B: "Anodal Transcranial Direct Current Stimulation Increases Bilateral Directed Brain Connectivity during Motor-Imagery Based Brain-Computer Interface Control," Frontiers in Neuroscience, 11:691, 2017.

  2. Hosseinia S, Sohrabpourb A, He B: “Electromagnetic Source Imaging Using Simultaneous Scalp EEG and Intracranial EEG: An Emerging Tool for Interacting with Pathological Brain Networks,” Clinical Neurophysiology, 129: 168-187, 2017.

  3. Vijayakumar V, Case M, Shirinpour S, He B: “Quantifying and Characterizing Tonic Thermal Pain across Subjects from EEG Data using Random Forest Models,” IEEE Transactions on Biomedical Engineering, 64(12): 2988-2996, 2017.

  4. Liu J, Wang Y, Katscher U, He B: “Electrical Properties Tomography Based on B1 Maps in MRI: Principles, Applications and Challenges,” IEEE Transactions on Biomedical Engineering, 64(11): 2515-2530, 2017.

  5. Meng J, Mundahl J, Streitz T, Maile K, Gulachek N, He J, He B: “Effects of Soft Drinks on Resting State EEG and Brain-Computer Interface Performance,” IEEE Access, 5(1): 18756-18764, 2017.

  6. Seeck M, Koessler L, Bast T, Leijten F, Michel C, Baumgartner C, He B, Beniczky S: “The Standardized EEG Electrode Array of the IFCN,” Clinical Neurophysiology, 128(10): 2070-2077, 2017.

  7. Case M, Shirinpour S, Zhang H, Datta Y, Nelson S, Sadak K, Gupta K, He B: "Increased Theta Band EEG Power in Sickle Cell Disease Patients," Journal of Pain Research, 11: 67-76, 2017.

  8. Aarabi A, He B: “Seizure Prediction in Patients with Focal Hippocampal Epilepsy,” Clinical Neurophysiology, 128(7): 1299-1307, 2017.

  9. Roy A, Jamison K, He S, Engel S, He B: “Deactivation in the Posterior Mid-Cingulate Cortex Reflects Perceptual Transitions During Binocular Rivalry: Evidence from Simultaneous EEG-fMRI,” NeuroImage, 152: 1-11, 2017.

  10. Liu J, Shao Q, Wang Y, Adriany G, Bischof J, Van de Moortele P-F, He B: “In Vivo Imaging of Electrical Properties of an Animal Tumor Model with an 8-Channel Transceiver Array at 7 T Using Electrical Properties Tomography,”  Magnetic Resonance in Medicine, 78(6): 2157-2169, 2017.

  11. Petrichella S, Johnson N, He B: “The Influence of Corticospinal Activity on TMS-Evoked Activity and Connectivity in Healthy Subjects: A TMS-EEG Study,” PLoS ONE, 12(4): e0174879. https://doi.org/10.1371/journal.pone.0174879, 2017. 

  12. Case M, Zhang H, Mundahl J, Datta Y, Nelson S, Gipta K, He B: “Characterization of Functional Brain Activity and Connectivity Using EEG and fMRI in Patients with Sickle Cell Disease,” NeuroImage: Clinical, 14: 1-17, 2017.

2016

  1. Meng J, Zhang S, Bekyo A, Olsoe J, Baxter B, He B: “Noninvasive Electroencephalogram Based Control of a Robotic Arm for Reach and Grasp Tasks,” Scientific Reports 6, 38565, doi:10.1038/srep38565, 2016.
  2. Sohrabpour A, Ye S, Worrell G, Zhang W, He B: “Noninvasive Electromagnetic Source Imaging and Granger Causality Analysis: An Electrophysiological Connectome (eConnectome) Approach,” IEEE Transactions on Biomedical Engineering, 63: 2474-2487, 2016.
  3. He B: “Focused Ultrasound Help Realize High Spatiotemporal Brain Imaging?—A Concept on Acousto-Electrophysiological Neuroimaging,” IEEE Transactions on Biomedical Engineering, 63: 2654-2656, 2016.
  4. Yu K, Sohrabpour A, He B: “Electrophysiological Source Imaging of Brain Networks Perturbed by Low-intensity Transcranial Focused Ultrasound,” IEEE Transactions on Biomedical Engineering, 63: 1787-1794, 2016.
  5. Sohrabpour A, Lu Y, Worrell G, He B: “Imaging Brain Source Extent from EEG/MEG by Means of an Iteratively Reweighted Edge Sparsity Minimization (IRES) Strategy,” NeuroImage, 142: 27-42, 2016.  
  6. Baxter B, Edelman B, Nesbitt N, He B: “Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance,” Brain Stimulation, 9: 834-841, 2016.
  7. Zhang CH, Sohrabpour A, Lu Y, He B: “Spectral and spatial changes of brain rhythmic activity in response to the sustained thermal pain stimulation," Human Brain Mapping, 37: 2976-2991, 2016.
  8. Yu K, Shao Q, Ashkenazi S, Bischof J, He B: “In Vivo Electrical Conductivity Contrast Imaging in a Mouse Model of Cancer Using High-frequency Magnetoacoustic Tomography with Magnetic Induction (hfMAT-MI),” IEEE Transactions on Medical Imaging, 35: 2301-2311, 2016.
  9. Liu J, Van de Moortele PF, Zhang X, Wang Y, He B: “Simultaneous Quantitative Imaging of Electrical Properties and Proton Density from B1 Maps Using MRI,” IEEE Transactions on Medical Imaging, 35: 2064-2073, 2016.
  10. Zhou Z, Jin Q, Yu L, Wu L, He B: “Noninvasive Imaging of Human Atrial Activation during Atrial Flutter and Normal Rhythm from Body Surface Potential Maps,” PLoS ONE 11(10): e0163445. doi:10.1371/journal.pone.0163445, 2016.
  11. Li X, Yu K, He B: “Magnetoacoustic tomography with magnetic induction (MAT-MI) for imaging electrical conductivity of biological tissue: A tutorial review," Physics in Medicine and Biology, 61: R249-R270, 2016.
  12. Zhou Z, Jin Q, Chen LY, Yu L, Wu L, He B: “Noninvasive Imaging of High Frequency Drivers and Reconstruction of Global Dominant Frequency Maps in Patients with Paroxysmal and Persistent Atrial Fibrillation,” IEEE Transactions on Biomedical Engineering, 63(6): 1333-1340, 2016.
  13. Mariappan L, Shao Q, Jiang C, Yu K, Ashkenazi S, Bischof J, He B: “Magneto acoustic tomography with short pulsed magnetic field for in-vivo imaging of magnetic iron oxide nanoparticles,” Nanomedicine: Nanotechnology, Biology, and Medicine, 12(3): 689–699, 2016. 
  14. Edelman B, Baxter B, He B: “EEG Source Imaging Enhances the Decoding of Complex Right Hand Motor Imagery Tasks,” IEEE Transactions on Biomedical Engineering, 63(1): 4-14, 2016.
  15. Katyal S, Engle S, He B, He S: “Active neural signals for the initiation of binocular rivalry," Journal of Vision, 16, 18. doi:10.1167/16.3.18, 2016.
  16. Toppi J, Borghini G, Petti M, He EJ, De Giusti V, He B, Astolfi L, Babiloni F: “Investigating Cooperative Behavior in Ecological Settings: An EEG Hyperscanning Study,” PLoS ONE 11(4): e0154236. doi:10.1371/journal.pone.0154236, 2016.
  17. He B, Sohrabpour A: “Imaging Epileptogenic Brain using High Density EEG Source Imaging and MRI,” Clinical Neurophysiology, 127(1): 5-7, 2016.

2015

  1. Edelman B, Johnson N, Sohrabpour A, Tong S, Thakor N, He B: “Systems Neuroengineering: Understanding and Interacting with the Brain,” Engineering, 1(3): 292-308, 2015. 
  2. Wu X, Zhang XT, Tian J, Schmitter S, Hann B, Strupp J, Pfeuffer J, Hamm M, Wang D, Nistler J, He B, Vaughan JT, Ugurbil K, Van de Moortele PF: “Comparison of radiofrequency body coils for MRI at 3 Tesla: a simulation study using parallel transmission on various anatomical targets,” NMR in Biomedicine, 28(10): 1332-1344, 2015.
  3. Zhang H, Sha Z, Mundahl J, Liu S, Lu Y, Henry TR, He B: “Thalamocortical relationship in epileptic patients with generalized spike and wave discharges - a multimodal imaging study,” NeuroImage: Clinical, 9: 117-127, 2015.
  4. He B, Baxter B, Edelman B, Cline C, Ye W: “Noninvasive brain-computer interfaces based on sensorimotor rhythms,” Proceedings of the IEEE, 103(6): 907-925, 2015. 
  5. Yu L, Zhou Z, He B: “Temporal Sparse Promoting Three Dimensional Imaging of Cardiac Activation,” IEEE Transactions on Medical Imaging, 34(11): 2309-2319, 2015.
  6. Shan H, Xu H, Zhu S, He B: "A novel channel selection method for optimal classification in different motor imagery BCI paradigms," BioMedical Engineering OnLine, 14:93, doi:10.1186/s12938-015-0087-4, 2015. 
  7. Han C, Pogwizd SM, Yu L, Zhou Z, Killingsworth CR, He B: “Imaging Cardiac Activation Sequence during Ventricular Tachycardia in a Canine Model of Nonischemic Heart Failure,” American Journal of Physiology-Heart and Circulatory Physiology, 308(2): H108-114, 2015 (Cover article).
  8. Zhou Z, Han C, Yang T, and He B: “Noninvasive Imaging of 3-dimensioal Myocardial Infarction from the Inverse Solution of Equivalent Current Density in Pathological Hearts,” IEEE Transactions on Biomedical Engineering, 62(2):468-476, 2015. 
  9. Sohrabpour A, Lu Y, Kankirawatana P, Blount J, Kim H, He B: “Effect of EEG Electrode Number on Epileptic Source Localization in Pediatric Patients,” Clinical Neurophysiology, 126(3):472-480, 2015 (Cover article).
  10. Jamison KW, Roy AV, He S, Engel SA, He B: “SSVEP Signatures of Binocular Rivalry During Simultaneous EEG and fMRI,” Journal of Neuroscience Methods, 243:53-62, 2015.
  11. Liu J, Zhang XT, Schmitter S, Van de Moortele PF, He B: “Gradient-based electrical properties tomography (gEPT): A robust method for mapping electrical properties of biological tissues in vivo using magnetic resonance imaging,” Magnetic Resonance in Medicine, 74(3):634-646, 2015.

2014

  1. Zhang XT, Van de Moortele PF, Liu J, Schmitter S, He B: "Quantitative Prediction of RF Induced Local Heating Derived from B1 Maps in MRI: A Phantom Validation at 7T," Applied Physics Letters, 105, 244101, 2014 (cover article). 
  2. Cassady K, You A, Doud A, He B: “The impact of mind-body awareness training on the early learning of a brain-computer interface,” Technology, 2(3): 254-260, 2014.
  3. Xu H, Lu Y, Zhu S, He B: “Assessing Dynamic Spectral Causality by Lagged Adaptive Directed Transfer Function and Instantaneous Effect Factor,” IEEE Transactions on Biomedical Engineering, 61(7): 1979-1988, 2014.
  4. Mariappan L, Hu G, He B: “Magnetoacoustic tomography with magnetic induction for high-resolution bioimepedance imaging through vector source reconstruction under the static field of MRI magnet,” Medical Physics, 41, 022902, 2014.
  5. Zhang H, Lu Y, Brinkmann B, Welker K, Worrell G, He B: Lateralization and Localization of Epilepsy Related Hemodynamic Foci Using Presurgical fMRI,” Clinical Neurophysiology, S1388-2457(14)00221-1, 2014.  
  6. Roy A, Baxter B, He B: "High definition transcranial direct current stimulation induces both acute and persistent changes in broadband cortical synchronization: a simultaneous tDCS-EEG study," IEEE Transactions on Biomedical Engineering, 61(7): 1967-1978, 2014.
  7. Sun J, Tang Y, Lim KO, Wang J, Tong S, Li H, He B: “Abnormal Dynamics of EEG Oscillations in Schizophrenia Patients on Multiple Time Scales,” IEEE Transactions on Biomedical Engineering, 61(6): 1756-1764, 2014.
  8. Aarabi A & He B: “Seizure Prediction in Hippocampal and Neocortical Epilepsy Using a Model-based Approach,” Clinical Neurophysiology, 125(5):930-940, 2014.
  9. Yuan H & He B: "Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives," IEEE Transactions on Biomedical Engineering, 61(5): 1425-1435, 2014 (Cover article).
  10. Zhang XT, Liu J, He B: “Magnetic Resonance Based Electrical Properties Tomography: A Review,” IEEE Reviews in Biomedical Engineering, 7: 87-96, 2014.
  11. Lu Y, Worrell G, Zhang H, Yang L, Brinkmann B, Nelson C, He B:“Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients,” IEEE Transactions on Biomedical Engineering, 61(6): 1660-1667, 2014.
  12. Zhou L, Zhu S, He B: “A Reconstruction Algorithm of Magnetoacoustic Tomography with Magnetic Induction for Acoustically Inhomogeneous Tissue,” IEEE Transactions on Biomedical Engineering, 61(6): 1739-1746, 2014.

2013

  1. LaFleur K, Cassady K, Doud A, Shades K, Rogin E, He B: “Quadcopter control in three-dimensional space using a noninvasive motor imagery based brain-computer interface,” Journal of Neural Engineering, 10: 046003, 2013 (Featured in Nature; downloaded over 50,000 times).
  2. Zhang XT, Schmitter S, Van de Moortele PF, Liu J, He B: “From Complex B1 Mapping to Local SAR Estimation for Human Brain MR Imaging Using Multi-channel Transceiver Coil at 7T,” IEEE Transactions on Medical Imaging, 32(6): 1058-1067, 2013.
  3. Han C, Pogwizd S, Killingsworth C, Zhou Z, He B: “Noninvasive cardiac activation imaging of ventricular arrhythmias during drug-induced QT prolongation in the rabbit heart,” Heart Rhythm, 10(10):1509-1515, 2013.
  4. He B, Coleman T, Genin GM, Glover G, Hu X, Johnson N, Liu T, Makeig S, Sajda P, Ye K: “Grand Challenges in Mapping the Human Brain: NSF Workshop Report,” IEEE Transactions on Biomedical Engineering, 60(11): 2983-2992, 2013.
  5. Liu J, Zhang XT, Van de Moortele PF, Schmitter S, He B: “Determining electrical properties based on B(1) fields measured in an MR scanner using a multi-channel transmit/receive coil: a general approach,” Physics in Medicine and Biology, 58(13):4395-4408, 2013.
  6. Yang R, Li X, Song A, He B, Yan R: “A 3-D Reconstruction Solution to Current Density Imaging Based on Acoustoelectric Effect by Deconvolution: A Simulation Study,” IEEE Transactions on Biomedical Engineering, 60(5): 1181 – 1190, 2013.
  7. Lai D, Sun J, Li Y, He B: “Usefulness of ventricular endocardial electric reconstruction from body surface maps to noninvasively localize ventricular ectopic activity in patients,” Physics in Medicine and Biology, 58, 3897-3909, 2013.
  8. He B, Baird R, Butera R, Datta A, George S, Hecht B, Hero A, Lazzi G, Lee RC, Liang J, Neuman M, Peng GCY, Perreault EJ, Ramasubramanian M, Wang MD, Wikswo J, Yang GZ, Zhang YT: “Grand Challenges in Interfacing Engineering with Life Sciences and Medicine,” IEEE Transactions on Biomedical Engineering. 60(3): 589 – 598, 2013.
  9. Johnson MD, Lim HH, Netoff TI, Connolly AT, Johnson N, Roy A, Holt A, Lim KO, Carey JR, Vitek JL, and He B: “Neuromodulation for Brain Disorders: Challenges and Opportunities,” IEEE Transactions on Biomedical Engineering. 60(3): 610-624, 2013 (Cover article).
  10. Zhang X, de Moortele PFV, Schmitter S and He B: “Complex B1 mapping and electrical properties imaging of the human brain using a 16-channel transceiver coil at 7T,” Magn Reson Med. 69: 1285–1296, 2013.
  11. Mariappan L & He B: “Magnetoacoustic tomography with magnetic induction: Bioimepedance reconstruction through vector source imaging,” IEEE Transactions on Medical Imaging. 32(3):619-627, 2013.
  12. Bolaños M, Bernat EM, He B, Aviyente S: “A weighted small world network measure for assessing functional connectivity,” Journal of Neuroscience Methods. 212(1):133-142, 2013.
  13. Gultepe E, He B: “A Linear/nonlinear characterization of Resting State Brain Networks in fMRI Time series,” Brain Topography, 26(1): 39-49, 2013.

2012

  1. Liu C, Eggen M, Swingen C, Iaizzo P, He B: “Noninvasive Mapping of Transmural Potentials in Swine Hearts from Body Surface Electrocardiograms,” IEEE Transactions on Medical Imaging, 31(9): 1777-1785, 2012.
  2. Yang L, Worrell G, Nelson C, Brinkmann B, He B: “Spectral and spatial shifts of postictal slow waves in temporal lobe seizures,” Brain, 135(10): 3134-3143, 2012.
  3. Yang R, Li X, Song A, He B, Yan R: “Three-dimensional noninvasive ultrasound Joule heat tomography based on the acousto-electric effect using unipolar pulses: A simulation study,” Physics in Medicine and Biology, 57(22): 7689-7708, 2012.
  4. Lu Y, Yang L, Worrell G, Brinkmann B, Nelson C, He B: “Dynamic imaging of seizure activity in pediatric epilepsy patients,” Clinical Neurophysiology, 123: 2122-2129, 2012 (Cover article).
  5. Aarabi A, He B: “A rule-based seizure prediction method for focal neocortical epilepsy,” Clinical Neurophysiology, 123(6): 1111-1122, 2012 (Award winning).
  6. 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, 123(7): 1275-1283, 2012. 
  7. 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.
  8. 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, 302(1): H244-H252, 2012.
  9. Dai Y, Zhang W, Dickens DL, He B: "Source connectivity analysis from MEG and its application to epilepsy source localization," Brain Topography, 15(2): 157-166, 2012.

2011

  1. Zhang P, Jamison K, Engel S, He B, He S: “Binocular rivalry requires visual attention,” Neuron, 362–369, 2011.
  2. Yuan H, Perdoni C, Yang L, He B: “Distributed and disparate coupling of low-frequency EEG oscillations with positive/negative BOLD responses during unilateral hand movements,” Journal of Neuroscience, 31(26): 9585–9593, 2011.
  3. Yang L, Wilke C, Brinkmann B, Worrell GA, He B: “Dynamic Imaging of Ictal Oscillations Using Non-invasive High-Resolution EEG,” NeuroImage, 56: 1908-1917, 2011.
  4. 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.
  5. 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, 8(8): 1266-1272, 2011.
  6. 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): e23421. doi:10.1371/journal.pone.0023421, 2011.
  7. 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): e23124. doi:10.1371/journal.pone.0023124, 2011.
  8. 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 Systems, 26(5): 38 – 45, 2011.
  9. Yang R, Li X, Liu J, He B: “3D current source density imaging based on acoustoelectric effect: theory and simulation study,” Physics in Medicine and Biology, 56: 3825-3842, 2011.
  10. 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, 56: 4161-4176, 2011.
  11. 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(6):1098-1105, 2011 (with editorial).
  12. He B, Yang L, Wilke C, Yuan H: “Electrophysiological Imaging of Brain Activity and Connectivity – Challenges and Opportunities,” IEEE Transactions on Biomedical Engineering, 58 (7): 1918-1931, 2011 (Cover Article).
  13. 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, 195(2):261-269, 2011.
  14. 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.
  15. Wilke C, Worrell G, He B: “Graph Analysis of Epileptogenic Networks,” Epilepsia, 52(1):84-93, 2011.
  16. Hu G, Cressman E, He B: “Magnetoacoustic imaging of human liver tumor with magnetic induction,” Applied Physics Letters, 98(2):23703, 2011.
  17. 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.
  18. Liu C, Iaizzo PA, He B: “Three-dimensional Imaging of Intramural Ventricular Activation and Electrograms from Intracavitary Recordings,” IEEE Transactions on Biomedical Engineering, 58(4):868-875, 2011.
  19. 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, 58(3):713-720, 2011.
  20. Liu C and He B: “Non-invasive Estimation of Global Activation Sequence using Extended Kalman Filter,” IEEE Transactions on Biomedical Engineering, 58(3):541-549, 2011.
  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.
  22. 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, 23(4):333-43, 2011.
  23. 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.

2010

  1. 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.
  2. Li X, Mariappan L, Hu G, He B: “Three-dimensional Multi-Excitation Magnetoacoustic Tomography with Magnetic Induction,” Journal of Applied Physics, 108, 124702, 2010.
  3. 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).
  4. 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, 2010.
  5. Hu G, Li X, He B: “Imaging biological tissues with electrical conductivity contrast below 1 Sm-1 by means of magnetoacoustic tomography with magnetic induction,” Applied Physics Letters, 97(10): 103705, 2010.
  6. 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, 14(6): 1318-1326, 2010 (Cover Article).
  7. Li X, He B: “Multi-Excitation Magnetoacoustic Tomography with Magnetic Induction for Bioimpedance Imaging,” IEEE Transactions on Medical Imaging, 29(10): 1759-1767, 2010.
  8. Yang L, Liu ZM, He B: “EEG-fMRI reciprocal functional neuroimaging,” Clinical Neurophysiology, 21(8): 1240-50, 2010. (Cover Article).
  9. 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, 2010.
  10. 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.
  11. Yuan H, Liu T, Szarkowski R, Rios C, Ashe J, He B: “Negative Covariation between Task-related Responses in Alpha/Beta-Band Activity and BOLD in Human Sensorimotor Cortex: an EEG and fMRI Study of Motor Imagery and Movements,” NeuroImage, 49: 2596-2606, 2010.
  12. Zhang XT, Zhu S, He B: “Magnetic Resonance Electric Properties Imaging of Biological Tissues,” IEEE Transactions on Medical Imaging, 29(2): 474-81, 2010.
  13. 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.
  14. Wilke C, van Drongelen W, Kohrman M, He B:  “Neocortical seizure foci localization by means of a directed transfer function method,” Epilepsia, 51: 564-572, 2010.
  15. 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): 1449-56, 2010.

2009

  1. 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.
  2. Lee WH, Liu ZM, Mueller BA, Lim K, He B: “Influence of white matter anisotropic conductivity on EEG source localization: Comparison to fMRI in human primary visual cortex,” Clinical Neurophysiology, 120: 2071–2081, 2009 (Cover Article).
  3. Liu Z, Zhang N, Chen W, He B: “Mapping the Bilateral Visual Integration by EEG and fMRI,” NeuroImage, 46(4): 989-997, 2009.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.

2008

  1. He B, Liu Z: “Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG,” IEEE Reviews in Biomedical Engineering, 1: 23-40, 2008.
  2. 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.
  3. Ma Q & He B: “Magnetoacoustic Tomography with Magnetic Induction: A Rigorous Theory,” IEEE Transactions on Biomedical Engineering, 55(2 Pt 2): 813-816, 2008.
  4. 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).
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. Ding L & He B: “Sparse Source Imaging in EEG with Accurate Field Modeling,” Human Brain Mapping, 29(9): 1053-1067, 2008 (Cover Article).
  11. 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.
  12. 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).
  13. Liu ZM & He B: “FMRI-EEG Integrated Cortical Source Imaging by use of Time-Variant Spatial Constraints,” NeuroImage, 39(3): 1198-214, 2008.

2007

  1. Xia R, Li X, He B: “Magnetoacoustic tomographic imaging of electrical impedance with magnetic induction,” Applied Physics Letters, 91, 083903, 2007.
  2. 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.
  3. 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.
  4. 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.
  5. 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, Babiloni F: “A comparison of different cortical connectivity estimators for high resolution EEG recordings,” Human Brain Mapping, 28(2):143-57, 2007.
  6. 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. 
  7. 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, 4, 197-204, 2007.
  8. 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.
  9. 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.
  10. Lai Y, van Drongelen W, Hecox K, Frim D, Kohrman M, and He B: Cortical Activation Mapping of Epileptiform Activity Derived from Interictal ECoG Spikes, Epilepsia, 48(2):305-14, 2007.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Yamawaki N, Wilke C, Hue L, Liu ZM, 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.
  16. 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.

2006

  1. 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.
  2. 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.
  3. 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.
  4. Zhang Y, Ding L, van Drongelen W, Hecox K, Frim D, 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.
  5. 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.
  6. Im CH, Liu ZM, Zhang N, Chen W, He B: “Functional Cortical Source Imaging from Simultaneously Recorded ERP and fMRI,” J of Neurosci Method, 157(1): 118-123, 2006.
  7. Liu Z, Keckman F, He B: “Effects of fMRI-invisible Sources in EEG-fMRI Integrated Cortical Current Density Estimation: A Simulation Study,” Clinical Neurophysiology, 117(7): 1610-1622, 2006.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. Li X, Xu Y, He B: “A Phantom Study of Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) for Imaging Electrical Impedance of Biological Tissue,” Journal of Applied Physics, 99 (6): Art. No. 066112 MAR 15 2006.

2005

  1. Xu Y, He B: “Magnetoacoustic Tomography with Magnetic Induction (MAT-MI),” Physics in Medicine and Biology, 50:5175-5187, 2005.
  2. 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.
  3. 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.
  4. Bai X, He B: On the Estimation of Number of Equivalent Source Dipoles, Clinical Neurophysiology, 116(9):2037-2043, 2005.
  5. 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.
  6. 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.
  7. 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.
  8. 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
  9. 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.
  10. 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.
  11. 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.
  12. 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.

2004

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.

2003

  1. Yao D and He B: “Equivalent physical models and formulation of equivalent source layer in high resolution EEG imaging,” Physics in Medicine and Biology, 48: 3475-3483, 2003.
  2. He B, Li G & Zhang X: “Noninvasive Imaging of Ventricular Transmembrane Potentials within Three-dimensional Myocardium by Means of a Realistic Geometry Anisotropic Heart Model,” IEEE Transactions on Biomedical Engineering, 50: 1190-1202, 2003.
  3. Li G, Zhang X, Lian J & He B: “Noninvasive Localization of the Origin of Paced Cardiac Activation in a Patient with Pacemaker by Means of a Heart-Excitation-Model,” IEEE Transactions on Biomedical Engineering, 50: 1117-1120, 2003.  
  4. Armoundas AA, Feldman AB, Mukkamala R, He B, Mullen TJ, Belk PA, Lee YZ, Cohen RJ: “Statistical accuracy of a moving equivalent dipole method to identify sites of origin of cardiac electrical activation,” IEEE Transactions on Biomedical Engineering, 50(12):1360-1370, 2003.  
  5. Zhang X, van Drongelen W, Hecox K, Towle VL, Frim DM, McGee A, & He B: “High Resolution EEG: Cortical Potential Imaging of Interictal Spikes,” Clinical Neurophysiology, 114:1963-1973, 2003.
  6. Hori J, He B: "EEG cortical potential imaging of brain electrical activity by means of parametric projection filters," IEICE Trans. Inf. and Syst., E86-D (9): 1909-1920, 2003. 
  7. Li G, Lian J, Salla P, Cheng J, Shah P, Ramachandra I, Avitall B, He B: “Body Surface Laplacian ECG Mapping of Ventricular Depolarization in Normal Subjects,” Journal of Cardiovascular Electrophysiology, 14(1): 16-27, 2003.

2002

  1. He B, Zhang Z, Lian J, Sasaki H, Wu S, Towle VL: “Boundary Element Method Based Cortical Potential Imaging of Somatosensory Evoked Potentials Using Subjects’ Magnetic Resonance Images,” NeuroImage, 16: 564-576, 2002.
  2. He B, Lian J: “Spatio-temporal Functional Neuroimaging of Brain Electric Activity,” Critical Review of Biomedical Engineering, 30: 283-306, 2002.
  3. He B, Li G, Zhang X: “Noninvasive Three-dimensional Activation Time Imaging of Ventricular Excitation by Means of a Heart-Excitation-Model,” Physics in Medicine and Biology, 47: 4063-4078, 2002.
  4. Lian J, Li G, Cheng J, Avitall B, He B: “Body Surface Laplacian ECG Mapping of Atrial Activation in Normal Subjects,” Medical & Biological Engineering & Computing, 40(6): 650-659, 2002.
  5. Lian J, Srinivasan S, Tsai HC, Wu D, Avitall B, and He B: "On the Estimation of Noise Level and Signal to Noise Ratio of Laplacian ECG During Ventricular Depolarization and Repolarization," Pacing and Clinical Electrophysiology, 25(10): 1474-1487, 2002.
  6. Lian J, Goldstein A, Donchin E, He B: “Cortical Potential Imaging of Episodic Memory Encoding,” Brain Topography, 15(1): 29-36, 2002.
  7. He B, D Yao, J Lian, D Wu: "An Equivalent Current Source Model and Laplacian Weighted Minimum Norm Current Estimates of Brain Electrical Activity," IEEE Trans. on Biomedical Engineering, 49: 277-288, 2002.
  8. Li G, Lian J, He B: "On the Spatial Resolution of Body Surface Potential and Laplacian Pace Mapping," Pacing and Clinical Electrophysiology, 25: 420-429, 2002.
  9. He B, Li G, Lian J: “A Spline Laplacian ECG Estimator in a Realistic Geometry Volume Conductor,” IEEE Transactions on Biomedical Engineering, 49: 110-117, 2002.
  10. He, B., Zhang, X., Lian, J., Sasaki, H., Wu, D., and Towle, V.L. Boundary element method based cortical potential imaging of somatosensory evoked potentials using subjects’ magnetic resonance images. NeuroImage, 16: 564-576, 2002.
  11. He B, Yao D, Lian J: “High Resolution EEG: On the Cortical Equivalent Dipole Layer Imaging,” Clinical Neurophysiology, 113: 227-235, 2002.

2001

  1. He B, Lian J, Spencer KM, Dien J, Donchin E: "A Cortical Potential Imaging Analysis of the P300 and Novelty P3 Components," Human Brain Mapping, 12: 120-130, 2001.
  2. He B, Lian J, Li G: “High-Resolution EEG: A New Realistic Geometry Spline Laplacian Estimation Technique,” Clinical Neurophysiology, 112: 845-852, 2001 (with editorial).
  3. Yao D, Zhou Y, Zeng M, Fan S, Lian J, Wu D, Ao X, Chen L, He B: "A study of equivalent source techniques for high-resolution EEG imaging," Phys Med Biol. 46:2255-2266, 2001.
  4. Li G and He B: "Localization of the Site of Origin of Cardiac Activation by Means of a Heart-Model-Based Electrocardiographic Imaging Approach," IEEE Transactions on Biomedical Engineering, 8:660-669, 2001.
  5. Lian J, Srinivasan S, Tsai HC, He B: 'Comments on "Is Accurate Recording of the ECG Surface Laplacian Feasible?"' IEEE Transactions on Biomedical Engineering, 48: 610-613, 2001.
  6. He B, Wu D: "Imaging and Visualization of 3D Cardiac Electric Activity," IEEE Transactions on Information Technology in Biomedicine, 5: 181-186, 2001.
  7. Hori J and He B: "Equivalent dipole source imaging of brain electrical activity by means of parameteric projection filters," Annals of Biomedical Engineering, 29:436-445, 2001.
  8. Lian J, He B: "A Minimal Product Method and Its Application to Cortical Imaging," Brain Topography, 13:209-217, 2001.
  9. Kosugi Y, Uemoto N, Hayashi Y, He B: "Estimation of intracranial neural activities by means of regularized neural network inversion techniques." Neurological Research, 23:435-446, 2001. 
  10. Zhao F, He B: "A new algorithm to estimate surface Laplacian and its applications to visual evoked potentials," Electromagnetics, 21: 633-640, 2001.
  11. Tsai HC, Ceccoli H, Avitall B, He B: Body Surface Laplacian Mapping of Anterior Myocardial Infarction In Man," Electromagnetics, 21: 607-620, 2001.
  12. Yao D, He B: "A Self-Coherence Enhancement Algorithm and its Application to Enhancing 3D Source Estimation from EEGs," Annals of Biomedical Engineering, 29: 1019-1027, 2001.

1996-2000

  1. Hayashi Y, Kosugi Y, He B: A Network Inversion Technique for Estimating Equivalent Dipole Descriptoin of Visual Evoked Potential,” Meth. of Info. in Med., 39(2): 134-137, 2000.
  2. Wu D, Ono K, Hosaka H, He B: “Simulation Study of Body Surface Laplacian Maps during Induced Ventricular Activation: A Model Study,” Methods of Information in Medicine, 39(2): 196-199, 2000.
  3. He B, Wu D: “Laplacian Electrocardiography,” Critical Reviews in Biomedical Engineering,  27: 285-338, 1999.
  4. Wu D, Tsai HC, He B: “On the Estimation of the Laplacian Electrocardiogram during Ventricular Activation,” Annals of Biomedical Engineering, 27: 731-745, 1999.
  5. He B, Wang Y, Wu D: “Estimating Cortical Potentials from Scalp EEG’s in a Realistically Shaped Inhomogeneous Head Model By Means of the Boundary Element Method,” IEEE Transactions on Biomedical Engineering, 46: 1264-1268, 1999.
  6. He B: “Brain Electric Source Imaging: Scalp Laplacian Mapping and Cortical Imaging,” Critical Reviews in Biomedical Engineering, 27: 149-188, 1998.
  7. He B: "High resolution source imaging of brain electrical activity," IEEE Engineering in Medicine and Biology, 17(5): 123-129, 1998.
  8. He B: "Theory and applications of body surface Laplacian ECG mapping," IEEE Engineering in Medicine and Biology, 17(5): 102-109, 1998.
  9. Wang Y, Wu D, He B: "On the Algorithm for Computing Body Surface Laplacians in an Inhomogeneous Volume Conductor of Arbitrary Shape," IEEE Transactions on Biomedical Engineering, BME-45: 131-133, 1998.
  10. Wang Y, He B: "A Computer Simulation Study of Cortical Imaging from Scalp Potentials," IEEE Transactions on Biomedical Engineering, 45(6): 724-735, 1998.
  11. Wu D, Schablowski M, Ono K, Hosaka H, He B: "A Simulation Study of Laplacian ECG in a Realistically Shaped Torso Volume Conductor: Myocardial Infarction," Bioelectrochemistry and Bioenergetics, 47: 231-235, 1998.
  12. Umetani K, Okamoto Y, Mashima S, Ono K, Hosaka H, He B: "Body Surface Laplacian Mapping in Patients with Left or Right Ventricular Bundle Branch Block," Pacing and Clinical Electrophysiology,  21: 3043-2054, 1998.
  13. Lee YZ, Belk PA, Mullen TJ, Rivers S, Zhang X, Armoundas AA, Osaka M, He B, Aldea G, Cohen RJ: “Comparison of Body Surface Potential and Laplacian Mapping with Epicardial Mapping for Detection of Cardiac Ischemia in Pigs,” Annals of Noninvasive Electrocardiology, 3(3): 244-251, 1998.
  14. He B, "Principles and applications of the Laplacian Electrocardiogram," IEEE Engineering in Medicine and Biology, 16(5): 133-138, 1997.
  15. He B, Wu D: "A Bioelectric Inverse Imaging Technique Based on Surface Laplacians," IEEE Transactions on Biomedical Engineering, BME-44: 529-538, 1997.
  16. He B, Yu X, Wu D, Mehdi N: "Body Surface Laplacian Mapping of Bioelectrical Activity," Methods of Information in Medicine, 36: 326-328, 1997.
  17. Ono K, Hosaka H, He B: "A Comparison of Body Surface Laplacian and Potential Maps During Paced Ventricular Activation," Methods of Information in Medicine, 36: 336-338, 1997.
  18. He B, Bansal S, Tsai A, Saul JP: “A Comparison of Volume Conductor Effects on Body Surface Laplacian and Potential ECGs: A Model Study," Computers in Biology and Medicine, 27: 117-127, 1997.

1985-1995

  1. He B and Cohen RJ: "Body surface Laplacian ECG mapping - A review," Critical Review in Biomedical Engineering, 23: 475-510, 1995.
  2. He B, Chernyak Y, & Cohen RJ: "An equivalent body surface charge model representing three dimensional bioelectrical activity," IEEE Transactions on Biomedical Engineering, BME-42: 637-646, 1995.
  3. Ling Y and He B: "Entropic analysis of biological growth models." IEEE Transactions on Biomedical Engineering, BME-40: 1193-1200, 1993.
  4. He B, Kirby D, Mullen TJ, & Cohen RJ: "Body surface Laplacian mapping of cardiac excitation in intact pigs." Pacing and Clinical Electrophysiology, 16: 1017-1026, 1993.
  5. He B and Cohen RJ: "Body surface Laplacian ECG mapping." IEEE Transactions on Biomedical Engineering, BME-39: 1179-1191, 1992.
  6. He B and Musha T: "Equivalent dipole localization of spontaneous EEG alpha activity: Two moving dipole approach." Medical and Biological Engineering and Computing, 30: 324-332, 1992.
  7. He B and Cohen RJ: "Body surface Laplacian mapping of cardiac electrical activity." American Journal of Cardiology, 70: 1617-1620, 1992.
  8. He B and Musha T: "Effects of cavity on EEG dipole localization and their relations with the surface electrode locations." International Journal of Biomedical Computing, 24: 269-282, 1989.
  9. Homma S, Nakajima Y, Musha T, He B & Okamoto Y: "Dipole-tracing of 'awareness' attenuating the cortical components of somatosensory evoked potentials." Neuroscience Letters, 88: 257-262, 1988.
  10. He B and Musha T: "Effects of cavities in the human skull on inverse moving dipole solution." Japanese Journal of Medical Electronics and Biological Engineering, 26: 75-82, 1988.
  11. He B, Musha T, Okamoto Y, Homma S, Nakajima Y & Sato T: "Electric dipole tracing in the brain by means of the boundary element method and its accuracy." IEEE Transactions on Biomedical Engineering, BME-34: 406-414, 1987.
  12. Homma S, Nakajima Y, Musha T, Okamoto Y, & He B: "Dipole-tracing method applied to human brain potentials." Journal of Neuroscience Methods, 21: 195-200, 1987.
  13. He B, Okamoto Y, Musha T, Nakajima Y, & Homma S: "Localization of an electric dipole in the brain and its accuracy." Japanese Journal of Medical Electronics and Biological Engineering, 24: 315-320, 1986.

Journal Publications

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 |
2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 
2009 | 2008 | 2007 | 2006 | 2005 | 2004 |
2003 | 2002 | 2001 | 1996-2000 | 1985-1995 |

Books

Edited Books

 

  • He B (Ed): Neural Engineering, 3rd Edition, Springer, 2020.
  • He B (Ed): Neural Engineering, 2nd 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 and Imaging of Bioelectric Activity – Principles and Applications, Kluwer Academic/Plenum Publishers, 2004.

Book Chapters

 

  • He B, Yuan H, Meng J, Gao S: “Brain-Computer Interface,” In He B (Ed): Neural Engineering, Springer, pp. 131-183, 2020.
  • He B, Ding L, Sohrabpour A: “Electrophysiological Mapping and Source Imaging,” In He B (Ed): Neural Engineering, Springer, 379-413, 2020.
  • Ding M and He B: “Exploring Functional and Causal Connectivity in the Brain,” In He B (Ed): Neural Engineering, Springer, 415-432, 2020.
  • Michel C, He B: “EEG Mapping and Source Imaging,” In: D. Schomer, F. Lopes da Silva (eds): Niedermeyer's Electroencephalography, 7th edition. Oxford University Press, 10.1093/med/9780190228484.003.0045, 2017.
  • 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.
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