When   Thursday, May 14, 2009   Time   4:00 PM - 5:00 PM  
Where   Technological Instit M345 2145 Sheridan Rd.   map it
Audience   - Faculty/Staff - Student - Public
Contact   Virginia Lorenzo   847-491-5635  
Group   McCormick - Biomedical Engineering Department

Bin He, PhD
FIEEE, FAIMBE, Distinguished McKnight University Professor
Department of Biomedical Engineering, University of Minnesota

ABSTRACT: Noninvasive functional neuroimaging, an important tool for basic neuroscience research and clinical diagnosis, continues to face the need for improved spatial and temporal resolution. As existing neuroimaging modalities approach their limits in imaging capability mostly due to fundamental as well as technical reasons, it becomes increasingly attractive to integrate multiple complementary modalities in an attempt to significantly enhance the spatiotemporal resolution beyond that achieved by any modality individually. In this presentation, we will review our recent work on electrophysiological neuroimaging integrating EEG with MRI, and furthermore integrating EEG/MRI with functional MRI. We have developed high resolution imaging methods integrating anatomic MRI and EEG, and have demonstrated that, by analyzing electrophysiological data in the time, frequency, and space domains, we can derive rich information about spatio-temporal distributions of brain activation and connectivity, revealing important information about brain functions. Clinical studies in patients with partial seizures demonstrate the ability of electrophysiological neuroimaging in localizing and imaging epileptogenic foci from noninvasive measurements, thereby aiding surgical planning. Our recent efforts in multimodal functional neuroimaging have further demonstrated the merit of integrating electrophysiological and hemodynamic measurements to significantly enhance the spatio-temporal resolution of imaging brain activity. Our data indicate that, through engineering innovation in imaging methodology and integration of multiple imaging modalities, we can significantly enhance the spatio-temporal resolution in imaging the dynamic brain activation and connectivity.