Dr. Chen’s research lies at the interface of neuroimaging technology, signal processing and neuroscience. She is interested in integrating state-of-the-art fMRI and multi-modal imaging techniques to achieve novel, comprehensive insights into our brain’s function and physiology. One line of her current research is to harness the cortical-depth-dependent information uncovered by high-resolution fMRI to improve the neuronal specificity and sensitivity of BOLD fMRI measures; and to exploit the depth-dependent patterns of resting-state brain functional architecture. A second line of her research focuses on integrating state-of-the-art fast PET technology and fMRI to probe the neuronal, vascular, energetic and neuromodulatory mechanisms underlying brain functional dynamics.
PhD in Electrical Engineering (major) and Statistics (minor), Stanford University
1. Chen JE, Glover GH. BOLD fractional contribution to resting-state functional connectivity above 0.1 Hz. Neuroimage. 2015 Feb 15;107:207-218.
2. Chen JE, Polimeni JR, Bollmann S, Glover GH. On the analysis of rapidly sampled fMRI data. Neuroimage. 2019 Mar;188:807-820.
3. Chen JE, Lewis LD, Chang C, Tian Q, Fultz NE, Ohringer NA, Rosen BR, Polimeni JR. Resting-state “physiological networks”. Neuroimage. 2020 Jun;213:116707.
K99/R00 Pathway to Independence Award (National Institute of Neurological Disorders and Stroke)
Anne Klibanski Visiting Scholars Award (MGH)