Lianghua He of Columbia University

Resting state functional MRI (rs-fMRI), measuring blood oxygen level-dependent (BOLD) from resting brains, is a relatively new and unique method for evaluating regional interactions that occur when a participant is not performing an explicit task. Because of sensitivity to the phase shift and length of time courses of the BOLD recordings, conventional analysis methods of correlation and coherence based on the region of interest are not very suitable to be used on rs-fMRI. A new method, namely dominant frequency mapping, is proposed to analyze rs-fMRI data, which is proved to be more robust and consistent. The results show that there is a dominant frequency of BOLD recordings, 0.0137Hz, existing in resting human brains, which is consistent across participants and brain regions. This frequency distributes mainly in Gyrus Rectus, Frontal Medial Orbital, Frontal Superior Orbital, Olfactory Sulcus, whose functions are about social behavior, emotion, and decision making. At the meantime, we have found that BOLD frequencies are inconsistent in the brain regions of Precentral Gyrus, the Superior Frontal gyrus, the insula, the Caudate nucleus, the putamen and part of the cerebellum, whose functions are about motor. We also investigate the difference of dominant frequency distribution on the whole brain and every brodmann area based on resting state fMRI data. After eliminating the subjects’ personal factors, the dominant frequency shows much consistent on most brodmann areas except BA 28 and 35. Furthermore, BA 11 has the most dominant frequency voxels’ percentage and BA 26 has the least dominant frequency voxels’ percentage.

Biography: Dr. Lianghua He received the B.Sc. degree in engineering surveying from Wuhan Technical University of Surveying and Mapping, Wuhan, China, in 1999, the M.Sc. degree in high precision GPS navigation form Wuhan University, Wuhan, China, in 2002, and the Ph.D. degree in signal and information processing from Southeast University, Nanjing, China, in 2005. In 2005, he joined the Department of Computer Science & Technology of Tongji University as an postdoctoral researcher and has served as faculty member science 2008. He currently does research as a Visiting Scholar Research Fellow with the Pediatric Brain Imaging Laboratory, Columbia University, New York, NY. He research area focus on signal processing and intelligence computing, mainly including face discrimination, speech analysis, machine learning, pattern recognition and medical image processing.

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