Measuring Temporal Dynamics of Resting-state fMRI Data
Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China
Affiliations: Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University, Shanghai, China | State Key Laboratory of Software Engineering, Wuhan University, 430072 | Department of Communication Science and Engineering, Fudan University, Shanghai, 200433, China | Center for Science and Technology Development of the Ministry Education, Beijing, 10080, China | Department of Computer Science and Technology, East China Normal University, Shanghai 200241, China
Abstract: Resting state functional MRI (rs-fMRI), which is used to measure blood oxygen level-dependent (BOLD) from resting brains, is a relatively new and powerful method for evaluating regional interactions that occur when a participant is not performing an explicit task. Because of the sensitiveness to the phase shift and length of time courses of the BOLD recordings, region of interest based conventional correlation and coherence methods are no longer suitable for rs-fMRI analyses. In this paper, we propose a more robust and consistent method, dominant frequency mapping, to analyze rs-fMRI data. We found a dominant frequency of BOLD recordings, 0.0137Hz, in resting human brains that is consistent across participants and brain regions. This frequency is detected mainly in Gyrus Rectus, Frontal Medial Orbital, Frontal Superior Orbital and Olfactory Sulcus, which control the human social behavior, emotion, and decision making. In the meantime, we found that BOLD frequencies are most inconsistent in the brain regions of PrecentralGyrus, Superior Frontal gyrus, Insula, Caudate nucleus, Putamen, and part of the cerebellum, whose functions are about motor.
Keywords: Functional Magnetic Resonance Imaging (fMRI), Resting-state, Spectral Analysis, Low frequency
