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| 个人简介 |  |
| Nov. 2017-Present Research associate professor, ShanghaiTech University 2014-2017 Postdoctoral fellow, Yale University, Fahmeed Hyder adviser 2013 PhD in Biomedical Engineering at Emory University and Georgia Institute of Technology 2008-2013 Graduate research fellow, Emory University and Georgia Institute of Technology, Shella Keilholz adviser 2005-2008 Software engineer, customer engineer, CyberOptics Corporation 2003 B.A. in Mathematics and Computer Science at Macalester College |
| 主要研究内容 | |
| The Thompson lab studies brain function using magnetic resonance imaging (MRI). Tools such as “functional MRI” (fMRI) have helped researchers understand the brain, but if we want to use MRI to develop drugs and treatments for neural and psychological conditions, we must link the microscopic scale of cells and receptors to the macroscopic scale of networks and whole-brain metabolism. We intend to develop quantitative techniques to use MRI to measure brain function in terms of oxygen metabolism, glucose metabolism, and metabotropic receptor function. Our long-term goal is to use MRI techniques as a tool for guiding development of drugs and treatments for neuropsychological conditions such as Alzheimer’s disease and Schizophrenia. |
| 代表性论文 | |
| Review: GJ Thompson, “Neural and metabolic basis of dynamic resting state fMRI,” NeuroImage 2017 Sep 9, in press Human fMRI: R Vos de Wael, F Hyder, GJ Thompson, “Effects of tissue-specific fMRI signal regression on resting-state functional connectivity,” Brain Connectivity 7(8):482-490, 2017 GJ Thompson, V Riedl, T Grimmer, A Drzezga, P Herman, F Hyder, “The whole-brain ‘global’ signal from resting state fMRI as a potential biomarker of quantitative state changes in glucose metabolism,” Brain Connectivity 6(6):435-47, 2016 Rodent fMRI: GJ Thompson, WJ Pan, JC Billings, JK Grooms, S Shakil, D Jaeger, SD Keilholz, “Phase-amplitude coupling and infraslow (<1 Hz) frequencies in the rat brain: relationship to resting state fMRI,” Front Integr Neurosci 8:41, 2014 GJ Thompson, WJ Pan, ME Magnuson, D Jaeger, SD Keilholz, “Quasi-periodic patterns (QPP): large-scale dynamics in resting state fMRI that correlate with local infraslow electrical activity,” NeuroImage 84C:1018-1031, 2014 Full bibliography: https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/49685491/?sort=date&direction=descending |
