Catie Chang, Ph.D.Assistant Professor, Department of Electrical Engineering and Computer Science
Assistant Professor, Department of Biomedical Engineering
My research focuses on techniques for analyzing and interpreting functional neuroimaging data.
Current project areas include: (i) methods for analyzing the temporal dynamics of large-scale brain networks; (ii) multimodal imaging (EEG-fMRI) of brain activity across vigilance states; and (iii) neural and physiological basis of spontaneous fMRI signals; (iv) techniques for improving fMRI signal quality.
Turchi J*, Chang C*, Ye FQ, Russ BE, Yu DK, Cortes CR, Monosov IE, Duyn JH, Leopold DA. The basal forebrain regulates global resting-state fMRI fluctuations. Neuron. 2018 Feb 21;97(4):940-952.
Chang C, Leopold DA, Scholvinck ML, Mandelkow H, Picchioni D, Liu X, Ye FQ, Turchi JN, Duyn JH. Tracking brain arousal fluctuations with fMRI. Proc Natl Acad Sci USA. 2016 Apr 19;113(16):4518-23.
Chang C, Liu Z, Chen MC, Liu X, Duyn JH. EEG correlates of time-varying BOLD functional connectivity. Neuroimage, 2013, 72:227-36.
Chang C, Glover GH. Time-frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage, 2010, 50(1), 81-98.
Chang C, Cunningham JP, Glover GH. Influence of heart rate on the BOLD signal: the cardiac response function. Neuroimage, 2009, 44(3):857-69.