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Graduate Program in Neuroscience -> Faculty -> Faculty List -> Bin He, Ph.D.


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Bin He, Ph.D.

Professor, Department of Biomedical Engineering
E-mail: binhe@umn.edu

 


Research Interests:

One of the major research activities in our laboratory focuses on the development of innovative methodologies for noninvasive functional neuroimaging. Emphasis is placed on development of high resolution spatio-temporal functional neuroimaging modalities and the investigation of cognitive processes in the brain. Of current interest is the investigation of electrophysiological neuroimaging using dense array EEG/ERP recordings and advanced imaging techniques to reconstruct neuronal source distributions within the brain. We are also investigating multimodal neuroimaging approaches integrating electrophysiological neuroimaging with functional magnetic resonance imaging. Another area of investigation is to develop brain-computer interface, providing a new communication channel between the brain and external environment.


Selected Publications:

(For a comprehensive list of recent publications, refer to PubMed, a service provided by the National Library of Medicine.)

Gao N, He B.
Noninvasive imaging of bioimpedance distribution by means of current reconstruction magnetic resonance electrical impedance tomography.
IEEE Trans Biomed Eng. 2008 May

Kamousi B, Amini AN, He B. Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy. J Neural Eng. 2007 Jun;4(2):17-25.

Ding L, Wilke C, Xu B, Xu X, van Drongelen W, Kohrman M, He B. EEG source imaging: correlating source locations and extents with electrocorticography and surgical resections in epilepsy patients. J Clin Neurophysiol. 2007 Apr;24(2):130-6.

Bai X, Towle VL, He EJ, He B. Evaluation of cortical current density imaging methods using intracranial electrocorticograms and functional MRI. Neuroimage. 2007 Apr 1;35(2):598-608.

Im CH, Gururajan A, Zhang N, Chen W, He B. Spatial resolution of EEG cortical source imaging revealed by localization of retinotopic organization in human primary visual cortex. J Neurosci Methods. 2007 Mar 30;161(1):142-54.

Astolfi L, Cincotti F, Mattia D, Marciani MG, Baccala LA, de Vico Fallani F, Salinari S, Ursino M, Zavaglia M, Ding L, Edgar JC, Miller GA, He B, Babiloni F. Comparison of different cortical connectivity estimators for high-resolution EEG recordings. Hum Brain Mapp. 2007 Feb;28(2):143-57.

Im CH, Gururajan A, Zhang N, Chen W, He B. Spatial resolution of EEG cortical source imaging revealed by localization of retinotopic organization in human primary visual cortex. J Neurosci Methods. 2006 Nov 10; [Epub ahead of print]

Im CH, Liu Z, Zhang N, Chen W, He B. Functional cortical source imaging from simultaneously recorded ERP and fMRI. J Neurosci Methods. 2006 Oct 15;157(1):118-23.

Bai X, He B. Estimation of number of independent brain electric sources from the scalp EEGs. IEEE Trans Biomed Eng. 2006 Oct;53(10):1883-92.

Ding L, He B. Spatio-temporal EEG source localization using a three-dimensional subspace FINE approach in a realistic geometry inhomogeneous head model. IEEE Trans Biomed Eng. 2006 Sep;53(9):1732-9.

Ding L, Worrell GA, Lagerlund TD, He B. 3D source localization of interictal spikes in epilepsy patients with MRI lesions. Phys Med Biol. 2006 Aug 21;51(16):4047-62.

Zhang Y, Ding L, van Drongelen W, Hecox K, Frim DM, He B. A cortical potential imaging study from simultaneous extra- and intracranial electrical recordings by means of the finite element method.
Neuroimage. 2006 Jul 15;31(4):1513-24.

Liu Z, Kecman F, He B. Effects of fMRI-EEG mismatches in cortical current density estimation integrating fMRI and EEG: a simulation study. Clin Neurophysiol. 2006 Jul;117(7):1610-22.

Liu Z, Ding L, He B. Integration of EEG/MEG with MRI and fMRI. IEEE Eng Med Biol Mag. 2006 Jul-Aug;25(4):46-53.

Yamawaki N, Wilke C, Liu Z, He B. An enhanced time-frequency-spatial approach for motor imagery classification. IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):250-4.


Current Graduate Students:

Audrey Royer (Neuroscience, University of Minnesota).

 
The University of Minnesota is an equal opportunity educator and employer.