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Ph.D. Thesis Defense - Population-Level Dynamics of Rat Hindlimb Sensorimotor Cortex Cells During Bipedal Obstacle Avoidance

Ph.D. Research Proposal - Functional Near Infrared Spectroscopy in Multimodality Neuroimage Integration: EEG-fNIRS and fMRI-fNIRS

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Seminar - Upgrading Functional Near Infrared Spectroscopy into Imaging, for Free
Date: December 21, 2005
Time: 11:00 AM
Location: Bossone Research Enterprise Center, Room: 303

Xiaofeng "Steve" Zhang, Ph.D.
Post-doctoral Research Scholar
Dept. of Bioengineering, Penn State University

The wide-spread application of near infrared spectroscopy (NIRS) has proven as a valuable tool for human brain study. Furthermore, with properly positioned optical sources and detectors and using more refined mathematical treatment, functional NIR images can be obtained using existing NIRS system.

A complete methodology has been developed to integrate simultaneous diffuse optical tomography (DOT) and functional magnetic resonance imaging (MRI) measurements. This includes development of an MRI-compatible optical probe and a method for accurate estimation of the positions of the source and detector optodes in the presence of subject-specific geometric deformations of the optical probe. Subject-specific head models are generated by segmentation of structural MR images. DOT image reconstruction involves solution of the forward problem of light transport in the head using Monte Carlo method, and inversion of the linearized problem for small perturbations of the absorption coefficient. Initial results show good co-localization between the DOT images of changes in oxy- and deoxyhemoglobin concentration and functional MRI data. It can also be readily applied to acquiring the "fast" (neuronal) optical signal. Although in our laboratory, the frequency-domain measurement is adopted, this method is not limited to any particular type of NIR measurement.

Dr. Zhang received his Ph.D. and M.S. degrees in Electrical Engineering from University of Illinois at Urbana-Champaign (UIUC). He also has a Bachelor's degree in Chemical Engineering from Tsinghua University. He has background in NMR/MRI hardware design, modeling and simulation, as well as data processing and image reconstruction. Currently, his research interests have focused on the development of novel techniques for neuroimaging, specifically, simultaneous fNIR and fMRI.

The Bossone Research Enterprise Center is located at the corner of 32nd and Market Streets.

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