Skip to main content

Young‐Gyun Park

Korea Advanced Institute of Science and Technology · 生化学・遺伝学・分子生物学

研究室紹介

Professor Young-Gyun Park's research lab focuses on mapping the cellular and circuit-level architecture of the brain using advanced neurotechnologies, with an emphasis on understanding neural circuits underlying behavior, memory, and stress responses. The lab pioneers scalable, high-throughput methods for whole-brain phenotyping and 3D neuroanatomy, such as eFLASH for uniform tissue labeling and engram mapping techniques to identify memory-encoding neuronal ensembles across brain regions. By integrating single-cell resolution data with whole-brain imaging and computational frameworks like the Mouse Brain 3D Common Coordinate Framework, the lab aims to establish a comprehensive, multi-scale understanding of brain function and dysfunction. Their work bridges systems neuroscience with translational insights into neuropsychiatric disorders.

brain mappingneural circuitsmemory engrams3D neuroanatomywhole-brain phenotyping

Research Overview

Papers
27
Total Citations
2,421
Papers (5y)
13
Primary Field
生化学・遺伝学・分子生物学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
13total
2020
2021
2022
2023
2025
Citations per year (5y)
708total
20202021202220232025

Selected Papers

15
1
Article|510 citations·2015
Simple, Scalable Proteomic Imaging for High-Dimensional Profiling of Intact Systems
Evan Murray, Jaehun Cho, Daniel Goodwin, Taeyun Ku, Justin Swaney, Sung‐Yon Kim, Heejin Choi, Young-Gyun Park, Jeong Yoon Park, Austin Hubbert, Margaret McCue, Sara Vassallo
SJR Q1CellOA
BiophysicsBiochemistry, Genetics and Molecular Biology
2
Article|485 citations·2016
Multiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues
Taeyun Ku, Justin Swaney, Jeong Yoon Park, Alexandre Albanese, Evan Murray, Jaehun Cho, Young-Gyun Park, Vamsi Mangena, Jiapei Chen, Kwanghun Chung
SJR Q1Nature BiotechnologyOA
BiophysicsBiochemistry, Genetics and Molecular Biology
3
Article|473 citations·2018
Protection of tissue physicochemical properties using polyfunctional crosslinkers
Young-Gyun Park, Chang Ho Sohn, Ritchie Chen, Margaret McCue, Dae Hee Yun, Gabrielle T Drummond, Taeyun Ku, Nicholas B. Evans, Hayeon Caitlyn Oak, Wendy Trieu, Heejin Choi, Xin Jin
SJR Q1Nature BiotechnologyOA
BiophysicsBiochemistry, Genetics and Molecular Biology
4
Article|283 citations·2021
Cellular anatomy of the mouse primary motor cortex
Rodrigo Muñoz-Castañeda, Brian Zingg, Katherine S. Matho, Xiaoyin Chen, Quanxin Wang, Nicholas N. Foster, Anan Li, Arun Narasimhan, Karla E. Hirokawa, Bing‐Xing Huo, Samik Bannerjee, Laura Korobkova
SJR Q1NatureOA

Abstract An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted 1 . Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and vi

BiophysicsBiochemistry, Genetics and Molecular Biology
5
Article|225 citations·2022
Brain-wide mapping reveals that engrams for a single memory are distributed across multiple brain regions
Dheeraj S. Roy, Young-Gyun Park, Minyoung E. Kim, Ying Zhang, Sachie K. Ogawa, Nicholas DiNapoli, Xinyi Gu, Jae H. Cho, Heejin Choi, Lee Kamentsky, Jared Martin, Olivia Mosto
SJR Q1Nature CommunicationsOA

Abstract Neuronal ensembles that hold specific memory (memory engrams) have been identified in the hippocampus, amygdala, or cortex. However, it has been hypothesized that engrams of a specific memory are distributed among multiple brain regions that are functionally connected, referred to as a unified engram complex. Here, we report a partial map of the engram complex for contextual fear conditioning memory by characterizing encoding activated neuronal ensembles in 247 regions using tissue phen

Cognitive NeuroscienceNeuroscience
6
Article|94 citations·2021
Divergent pallidal pathways underlying distinct Parkinsonian behavioral deficits
Varoth Lilascharoen, Eric Hou-Jen Wang, Nam Do, Stefan Carl Pate, Amanda Ngoc Tran, Christopher Dabin Yoon, Jun-Hyeok Choi, Xiao-Yun Wang, Horia Pribiag, Young-Gyun Park, Kwanghun Chung, Byung Kook Lim
SJR Q1Nature NeuroscienceOA
NeurologyMedicine
7
Preprint|82 citations·2019
Ultrafast immunostaining of organ-scale tissues for scalable proteomic phenotyping
Dae Hee Yun, Young-Gyun Park, Jaehun Cho, Lee Kamentsky, Nicholas B. Evans, Alex Albanese, Katherine Xie, Justin Swaney, Chang Ho Sohn, Yuxuan Tian, Qiangge Zhang, Gabi Drummond
bioRxiv (Cold Spring Harbor Laboratory)OA

ABSTRACT Studying the function and dysfunction of complex biological systems necessitates comprehensive understanding of individual cells. Advancements in three-dimensional (3D) tissue processing and imaging modalities have enabled rapid visualization and phenotyping of cells in their spatial context. However, system-wide interrogation of individual cells within large intact tissue remains challenging, low throughput, and error-prone owing to the lack of robust labeling technologies. Here we int

Molecular BiologyBiochemistry, Genetics and Molecular Biology
8
Article|55 citations·2015
Left brain cortical activity modulates stress effects on social behavior
Eunee Lee, Jiso Hong, Young-Gyun Park, Sujin Chae, Yong Kim, Daesoo Kim
SJR Q1Scientific ReportsOA

When subjected to stress, some individuals develop maladaptive symptoms whereas others retain normal behavior. The medial prefrontal cortex (mPFC) is known to control these adaptive responses to stress. Here, we show that mPFC neurons in the left hemisphere control stress effects on social behavior. Mice made socially avoidant by the stress of chronic social defeats showed depressed neural activity in the left mPFC. Photoactivation of these neurons reversed social avoidance and restored social a

Endocrine and Autonomic SystemsNeuroscience
9
Preprint|46 citations·2020
Cellular Anatomy of the Mouse Primary Motor Cortex
Rodrigo Muñoz-Castañeda, Brian Zingg, Katherine S. Matho, Quanxin Wang, Xiaoyin Chen, Nicholas N. Foster, Arun Narasimhan, Anan Li, Karla E. Hirokawa, Bing‐Xing Huo, Samik Bannerjee, Laura Korobkova
bioRxiv (Cold Spring Harbor Laboratory)OA

Abstract An essential step toward understanding brain function is to establish a cellular-resolution structural framework upon which multi-scale and multi-modal information spanning molecules, cells, circuits and systems can be integrated and interpreted. Here, through a collaborative effort from the Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based description of one brain structure - the primary motor cortex upper limb area (MOp-ul) of the mouse. Applying

Molecular BiologyBiochemistry, Genetics and Molecular Biology
10
Preprint|38 citations·2019
Brain-wide mapping of contextual fear memory engram ensembles supports the dispersed engram complex hypothesis
Dheeraj S. Roy, Young-Gyun Park, Sachie K. Ogawa, Jae H. Cho, Heejin Choi, Lee Kamensky, Jared Martin, Kwanghun Chung, Susumu Tonegawa
bioRxiv (Cold Spring Harbor Laboratory)

Neuronal ensembles that hold specific memory (memory engrams) have been identified in the hippocampus, amygdala, and cortex. It has been hypothesized that engrams for a specific memory are distributed among multiple brain regions that are functionally connected. Here, we report the hitherto most extensive engram map for contextual fear memory by characterizing activity-tagged neurons in 409 regions using SHIELD-based tissue phenotyping. The mapping was aided by a novel engram index, which identi

Cellular and Molecular NeuroscienceNeuroscience
11
Preprint|29 citations·2019
Scalable image processing techniques for quantitative analysis of volumetric biological images from light-sheet microscopy
Justin Swaney, Lee Kamentsky, Nicholas B. Evans, Katherine Xie, Young-Gyun Park, Gabrielle T Drummond, Dae Hee Yun, Kwanghun Chung
bioRxiv (Cold Spring Harbor Laboratory)OA

Abstract Here we describe an image processing pipeline for quantitative analysis of terabyte-scale volumetric images of SHIELD-processed mouse brains imaged with light-sheet microscopy. The pipeline utilizes open-source packages for destriping, stitching, and atlas alignment that are optimized for parallel processing. The destriping step removes stripe artifacts, corrects uneven illumination, and offers over 100x speed improvements compared to previously reported algorithms. The stitching module

BiophysicsBiochemistry, Genetics and Molecular Biology
12
Review|20 citations·2023
Towards multiplexed immunofluorescence of 3D tissues
Wonjin Cho, Sehun Kim, Young-Gyun Park
SJR Q2Molecular BrainOA

Profiling molecular expression in situ allows the integration of biomolecular and cellular features, enabling an in-depth understanding of biological systems. Multiplexed immunofluorescence methods can visualize tens to hundreds of proteins from individual tissue samples, but their application is usually limited to thin tissue sections. Multiplexed immunofluorescence of thick tissues or intact organs will enable high-throughput profiling of cellular protein expression within 3D tissue architectu

Molecular BiologyBiochemistry, Genetics and Molecular Biology
13
Article|18 citations·2015
Heterogeneity of tremor mechanisms assessed by tremor-related cortical potential in mice
Young-Gyun Park, Jee Hyun Choi, Chungki Lee, Sehyun Kim, Young Soo Kim, Ki-Young Chang, Sun Ha Paek, Daesoo Kim
SJR Q2Molecular BrainOA

BACKGROUND: Identifying a neural circuit mechanism that is differentially involved in tremor would aid in the diagnosis and cure of such cases. Here, we demonstrate that tremor-related cortical potential (TRCP) is differentially expressed in two different mouse models of tremor. RESULTS: Hybrid tremor analysis of harmaline-induced and genetic tremor in mice revealed that two authentic tremor frequencies for each type of tremor were conserved and showed an opposite dependence on CaV3.1 T-type Ca(

NeurologyMedicine
14
Article|16 citations·2025
Uniform volumetric single-cell processing for organ-scale molecular phenotyping
Dae Hee Yun, Young-Gyun Park, Jaehun Cho, Lee Kamentsky, Nicholas B. Evans, Nicholas DiNapoli, Katherine Xie, Seo Woo Choi, Alexandre Albanese, Yuxuan Tian, Chang Ho Sohn, Qiangge Zhang
SJR Q1Nature BiotechnologyOA
Molecular BiologyBiochemistry, Genetics and Molecular Biology
15
Review|16 citations·2013
The potential roles of T-type Ca2+ channels in motor coordination
Young-Gyun Park, Jeongjin Kim, Daesoo Kim
SJR Q1Frontiers in Neural CircuitsOA

Specific behavioral patterns are expressed by complex combinations of muscle coordination. Tremors are simple behavioral patterns and are the focus of studies investigating motor coordination mechanisms in the brain. T-type Ca(2+) channels mediate intrinsic neuronal oscillations and rhythmic burst spiking, and facilitate the generation of tremor rhythms in motor circuits. Despite substantial evidence that T-type Ca(2+) channels mediate pathological tremors, their roles in physiological motor coo

Cellular and Molecular NeuroscienceNeuroscience

Research Areas

BiophysicsMolecular BiologyCellular and Molecular NeuroscienceNeurologyEndocrine and Autonomic SystemsElectrical and Electronic Engineering

Young‐Gyun Parkの研究をNubintでさらに深く

この研究室の論文をアプリで開き、AIと共に読み、要約し、引用しましょう。