J
Jin Hyung Lee
Researcher at Stanford University
Publications - 71
Citations - 4197
Jin Hyung Lee is an academic researcher from Stanford University. The author has contributed to research in topics: Optogenetics & Magnetic resonance imaging. The author has an hindex of 26, co-authored 71 publications receiving 3633 citations. Previous affiliations of Jin Hyung Lee include University of California, Los Angeles & University of California.
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Journal ArticleDOI
Optogenetic fMRI reveals distinct, frequency-dependent networks recruited by dorsal and intermediate hippocampus stimulations.
Andrew J. Weitz,Zhongnan Fang,Hyun Joo Lee,Robert S. Fisher,Wesley C. Smith,ManKin Choy,Jia Liu,Jia Liu,Peter Lin,Matthew Rosenberg,Jin Hyung Lee +10 more
TL;DR: Optogenetic fMRI is used to visualize the brain network dynamics evoked by different frequencies of stimulation of two distinct neuronal populations within dorsal and intermediate hippocampus, providing insight into the dynamic function of hippocampal networks and their role in seizures.
Journal ArticleDOI
Optogenetic Brain Interfaces
Ramin Pashaie,Polina Anikeeva,Jin Hyung Lee,Rohit Prakash,Ofer Yizhar,Matthias Prigge,Divya Chander,Thomas J. Richner,Justin C. Williams +8 more
TL;DR: Some of the recent advances in the field of optogenetics and related technologies are reviewed and the authors provide their vision for the future of the field.
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Combining optogenetic stimulation and fMRI to validate a multivariate dynamical systems model for estimating causal brain interactions.
Srikanth Ryali,Yen-Yu Ian Shih,Tianwen Chen,John Kochalka,Daniel L. Albaugh,Zhongnan Fang,Kaustubh Supekar,Jin Hyung Lee,Vinod Menon +8 more
TL;DR: This study demonstrates that the combined use of optogenetics and fMRI provides a powerful new tool for evaluating computational methods designed to estimate causal interactions between distributed brain regions.
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Studying Brain Circuit Function with Dynamic Causal Modeling for Optogenetic fMRI
TL;DR: In this article, a dynamic causal modeling (DCM) for optogenetic fMRI experiments is proposed, which allows cell-type-specific, brain-wide functional measurements to parameterize the causal relationships among regions of a distributed brain network with cell type specificity.
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Non-contrast-enhanced flow-independent peripheral MR angiography with balanced SSFP.
TL;DR: In vivo results indicate that the two ATR-based techniques provide more reliable contrast when partial volume effects are significant, and a new double‐acquisition ATR‐SSFP technique reduces this sensitivity to off‐resonance.