Garth Thompson Research associate Prof.
Degree : Affiliation : Position : Honor : Final education : Graduate School : Tel : Fax : Office : Add : Email Research Group: Group Website: Research Area:Animal Imaging

Education Background

  • 1999-2003, Macalester College, bachelor
  • 2008-2013, Emory University, PhD

Working Experience

  • 2014-2017, Yale University, Postdoctoral fellow
  • 2017-now, Shanghaitech University, Research associate Prof.

Research Interests

Our lab studies brain function using medical imaging techniques. Tools such as magnetic resonance imaging (MRI) and positron emission tomography (PET) let researchers observe brain function in a safe and non-invasive manner. We intend to develop quantitative techniques to use MRI and PET to measure brain function in terms of oxygen metabolism, glucose metabolism, and G-protein-coupled receptor (GPCR) 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 Epilepsy and Depression.

Research Achievement

Oxygen to Glucose Index (OGI) as a biomarker for epileptogenic focus

To better understand the metabolic characteristics of epilepsy, we developed a new method for single-session measurement of the oxygen-glucose index (OGI), the ratio of oxygen consumption to glucose consumption. While OGI was bilaterally symmetric in healthy controls, in epilepsy patients the OGI increased ipsilateral to the seizure focus during the inter-ictal period. The left figure shows the average image of 18 healthy controls, and the representative patients with right / left temporal lobe epilepsy (RTLE/LTLE). The red circles indicate the known lesions.                                   Zhang, Qin, et al., eBioMedicine, 79:104004, 2022

High-resolution oxidative metabolism in the awake and anesthetized mouse brain by relaxometry-based calibrated fMRI

Representative Publications

1.Xu MY, Bo BS, Pei MC, Chen YY, Shu CY, Qin QK, Hirschler L, Warnking JM, Barbier EL, Wei ZL et alHigh-resolution relaxometry-based calibrated fMRI in murine brain: Metabolic differences between awake and anesthetized statesJournal of Cerebral Blood Flow and Metabolism 2022, 42(5):811-825.

2.Zhang M, Qin QK, Zhang SN, Liu W, Meng HP, Xu MY, Huang XY, Lin XZ, Lin M, Herman P et alAerobic glycolysis imaging of epileptic foci during the inter-ictal periodEbiomedicine 2022, 79.

3.Xu M, Bo B, Qin Q, Liu Z, Liang Z, Thompson GJ: A combined cerebral blood flow method with R2 prime for calibrated fMRI in different states in animalJournal of Cerebral Blood Flow and Metabolism 2019, 39:491-491.

4.Qin Q, Zhang M, Huang P, Liu W, Meng H, Li B, Sun B, Xu M, Wang Z, Thompson GJ: Exploration of oxygen to glucose index (OGI) as diagnostic basis for neurological diseases with a combined PET/MR systemJournal of Cerebral Blood Flow and Metabolism 2019, 39:577-578.

5.Qin Q, Thompson GJ, Stevens RC: MRI-Based Perspective on Virtual OrganJournal of Bioenergetics and Biomembranes 2018, 50(6):574-575.

6.Thompson GJ: Neural and metabolic basis of dynamic resting state fMRINeuroimage 2018, 180:448-462.

7.Thompson GJ, Sanganahalli BG, Baker KL, Herman P, Shepherd GM, Verhagen JV, Hyder F: Spontaneous activity forms a foundation for odor-evoked activation maps in the rat olfactory bulbNeuroimage 2018, 172:586-596.

8.Thompson GJ, De Arce KP, Lippard ETC, Sanganahalli BG, Strittmatter SM, Hyder F, Biederer T: Anatomical and functional characterization of schizophrenia-linked genesJournal of Cerebral Blood Flow and Metabolism 2017, 37:252-252.

9.Thompson GJ, Mortensen KN, Gjedde A, Herman P, Parent MJ, Rothman DL, Kupers R, Ptito M, Stender J, Laureys S et alGlobal vs. regional differences in resting glucose metabolism across brain statesJournal of Cerebral Blood Flow and Metabolism 2017, 37:147-148.

10.Thompson GJ, Baker K, Verhagen JV, Sanganahalli BG, Shepherd GM, Hyder F: Stimulus-evoked activations are a subset of resting-state networks: Comparison between fMRI and optical imaging in the rat olfactory bulbJournal of Cerebral Blood Flow and Metabolism 2017, 37:11-12.

11.Thompson GJ, Riedl V, Grimmer T, Drzezga A, Herman P, Hyder F: CONSISTENT METABOLISM ACROSS RESTING STATE FMRI NETWORKS BUT DIFFERING METABOLISM ACROSS STATESJournal of Cerebral Blood Flow and Metabolism 2016, 36:244-245.

12.Thompson GJ, Pan WJ, Keilholz SD: Different dynamic resting state fMRI patterns are linked to different frequencies of neural activity (vol 114, pg 114, 2015)Journal of Neurophysiology 2015, 114(6):3400-3400.





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