Christopher T. Wilke

Year Entered: 2003

Degrees Received: 
B.S.E Biomedical Engineering, University of Iowa, 2003

Honors and Awards:
Center for Neuroengineering Training Fellowship, 2007-2008
NIH Integrative Neuroimaging Graduate Training Fellowship, 2008-2009
Institute for Engineering in Medicine Poster Award, 2008 Lifescience Alley Conference

Thesis Advisor: Bin He, Ph.D., Biomedical Engineering Program

Thesis Research: 

The Biomedical Functional Imaging and Neuroengineering Laboratory under the direction of Dr. Bin He conducts experiments mapping the electrical activities originating from the brain, heart, muscle and other organ systems. My research with Dr. He is primarily concerned with noninvasive imaging of the brain through the use of EEG, MEG and fMRI. Specifically, this work has two major areas: 1) functional brain mapping and 2) brain-computer interface development. This work is carried out in collaboration with investigators at the University of Minnesota Medical School, University of Chicago Medical Center, University of Illinois, Mayo Clinic, Tokyo Institute of Technology (Japan), Zhejiang University (China) and the University of Rome (Italy).

Publications:

Wilke C, Ding L, He B. Estimation of time-varying connectivity patterns through the use of an adaptive directed transfer function. IEEE Trans Biomed Eng. 2008, 55:2557-2564 .

Yamawaki N, Wilke C, Hue L, Liu Z, He B. Enhancement of classification accuracy of a time-frequency approach for an EEG-based brain-computer interface. Inf Med. 2007;46:155-159.

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 in epilepsy. J Clin Neurophysiol. 2007;24:130-136.

Yamawaki N, Wilke C, Liu ZM, He B. An enhanced time-frequency approach for motor imagery classification. IEEE Trans Neural Syst Rehabil Eng. 2006;14:250-254.

Yamawaki N, Wilke C, Liu ZM, He B. An improvement of a time-frequency approach for an EEG-based brain-computer interface. Int J of Bioelectromagnetism 2005;7:289-291.

Abstracts:

Wilke C,  van Drongelen W, Kohrman M and He B. Application of the Directed Transfer Function (DTF) to neocortical ictal foci localization. Proc of the 62nd Annual Meeting of the American Epilepsy Society, December 2008.

Wilke C, van Drongelen W, Kohrman M and He B. Mapping neocortical seizure origin by means of an adaptive directed transfer function. Proceedings of the 5th Annual World Congress of IBMISPS, August 2008.

Wilke C, Ding L, He B. An Adaptive Directed Transfer Function Approach for Detecting Dynamic Causal Interactions. Proceedings of the 29th Annual International Conference of the IEEE EMBS, 2007; 4949-4952

Wilke C, Yamawaki Z, Liu Z, He B. Classification of Motor Imagery States by Weighted Time-Frequency-Spatial Patterns. Proceedings of the  2006 BMES Annual Fall Meeting, October 2006.

Yamawaki N, Wilke C, Hue L, Liu Z, He B. Enhancement of classification accuracy of a time-frequency approach for an EEG-based brain-computer interface., Proc of the 5^th Int Workshop Biosignal Interpretation, September 2005.

Yamawaki N, Wilke C, Liu ZM, He B. Enhancement of performance of an EEG-based brain-computer interface by means of a time-frequency approach. Proceedings of the 2nd International IEEE EMBS Conference on Neural Engineering (CD-ROM), May 2005.