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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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This event also will be offered virtually. Please click here to join via Zoom.
“Advancing Neuroimaging to Extract Neural and Physiological Dynamics”
Jingyuan Chen, Ph.D.
Instructor
Martinos Center for Biomedical Imaging
Massachusetts General Hospital & Harvard Medical School
ABSTRACT
The past decade has witnessed rapid advancements of non-invasive functional neuroimaging techniques, which have enabled new insights into our brain’s function and physiology. How can we best acquire and analyze the data to optimize these cutting-edge techniques? And how can we integrate multi-faceted information gathered from different modalities to achieve a holistic view on our brain’s function and physiology in health and disease? This talk will discuss several projects centered around these themes. First, I will share my explorations into the opportunities and pitfalls of extracting maximal information from fMRI data collected at high spatiotemporal resolutions. Second, I will present my past and ongoing studies that integrate fMRI with simultaneously acquired physiological, EEG or functional PET signals to elucidate the vascular, functional and metabolic correlates of intrinsic brain activity across wake and sleep. Finally, I will highlight exciting directions that my lab will pursue in both the short- and long-term.
BIOGRAPHY
I am an Instructor at the Martinos Center for Biomedical Imaging at Massachusetts General Hospital (MGH) and Harvard Medical School. I received my PhD from Stanford University, with a major in Electrical Engineering and a minor in Statistics. My thesis work focused on advancing general fMRI methodology and characterizing the temporal dynamics of brain spontaneous fluctuations. Excited by the continuing technical advances in human neuroimaging, I sought for further postdoc training in multi-modal methods (EEG-fMRI, functional PET-MRI) and 7T high-field fMRI at MGH. Supported by an NIH K99/R00 award, my current and future research will focus on integrating various cutting-edge neuroimaging techniques to probe the neuronal, vascular, energetic and neuromodulatory mechanisms underlying brain functional dynamics.
