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Hyejin Kang

Seoul National University · Neuroscience

About the Lab

Professor Hyejin Kang's research lab focuses on interdisciplinary neuroscience and health informatics, integrating neuroimaging, molecular biology, and data science to understand brain function and mental health disorders such as Alzheimer’s disease and neuropsychiatric symptoms. The lab investigates functional brain networks in speech perception and cognitive processing, particularly under challenging auditory conditions, using advanced computational methods like persistent homology. It also explores organizational behavior and public policy, analyzing how citizen expectations, trust in local government, and institutional design affect public service satisfaction and policy implementation. Additionally, the lab contributes to bioinformatics by developing statistical methods for identifying microRNA targets and controlling false discovery rates in time-series gene expression data.

neuroimagingfunctional networkspublic policymicroRNA target predictionfalse discovery rate

Research Overview

Papers
154
Total Citations
3,125
Papers (5y)
41
Primary Field
Neuroscience

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
41total
2021
2022
2023
2024
2025
Citations per year (5y)
100total
20212022202320242025

Selected Papers

15
1
Article|66 citations·2011
Regional Cerebral Blood Flow Abnormalities Associated With Apathy and Depression in Alzheimer Disease
Ji Yeon Kang, Jae Sung Lee, Hyejin Kang, Haewoo Lee, Yu Kyeong Kim, Hong Jin Jeon, June-Key Chung, Myung Chul Lee, Maeng Je Cho, Dong Soo Lee
SJR Q2Alzheimer Disease & Associated Disorders

The aim of this study was to identify brain areas related to apathy or depression in patients with Alzheimer disease (AD). Eighty-one AD patients were enrolled in this prospective study. (99m)Tc-HMPAO single photon emission computed tomography was performed to evaluate regional cerebral blood flow (rCBF). According to the Neuropsychiatric Inventory subscores of apathy and depression, 9 patients were classified as clinically significant (cs) depressed and non-cs-apathetic (D+) groups and 9 were c

Cognitive NeuroscienceNeuroscience
2
Article|48 citations·2018
지방정부 서비스에 대한 기대불일치가 주민들의 지역만족에 미치는 영향에 관한 연구: 정부신뢰의 조절효과를 중심으로
강혜진

본 연구는 주민들의 지역에 대한 만족이 지방정부의 중요한 과제로 떠오르는 상황에서 주민들의 지방정부 서비스에 대한 기대불일치가 지역 만족에 어떠한 영향을 미치는지를 살펴보고자 하였다. 이와 함께 기대불일치와 지역에 대한 주민 만족 사이의 관계를 지방정부에 대한 신뢰가 조절할 가능성이 있는지를 확인하였다. 이를 규명하기 위하여 전국 지방자치단체 주민들을 대상으로 조사한 서베이 자료를 분석하였다. 자료를 분석한 결과, 주민들의 기대불일치는 지역만족도와 거주의사에 부정적인 영향을 미친다는 것을 확인하였다. 또한 이러한 양자의 부정적인 관계는 주민들이 속한 지방정부에 대한 신뢰가 높을수록 완화되는 경향을 보였다. 이러한 분석결과는 다음과 같은 함의를 제시할 수 있을 것으로 보인다. 먼저, 지방정부 주민들이 중요하다고 생각 하는 서비스에 대한 만족도를 높이는 방향으로 서비스의 우선순위를 고려해야한다는 정책적 시사점을 도출해볼 수 있다. 또한, 지방정부에 대한 주민들의 신뢰를 높임으로서 정부에

3
Article|27 citations·2014
Brain Networks Engaged in Audiovisual Integration During Speech Perception Revealed by Persistent Homology-Based Network Filtration
Heejung Kim, Jarang Hahm, Hyekyoung Lee, Eunjoo Kang, Hyejin Kang, Dong Soo Lee
SJR Q2Brain ConnectivityOA

The human brain naturally integrates audiovisual information to improve speech perception. However, in noisy environments, understanding speech is difficult and may require much effort. Although the brain network is supposed to be engaged in speech perception, it is unclear how speech-related brain regions are connected during natural bimodal audiovisual or unimodal speech perception with counterpart irrelevant noise. To investigate the topological changes of speech-related brain networks at all

Experimental and Cognitive PsychologyPsychology
4
Article|16 citations·2006
The neural correlates of cross-modal interaction in speech perception during a semantic decision task on sentences: A PET study
Eunjoo Kang, Dong Soo Lee, Hyejin Kang, Chan Ho Hwang, Seung Ha Oh, Chong-Sun Kim, June‐Key Chung, Myung Chul Lee
SJR Q1NeuroImage
Experimental and Cognitive PsychologyPsychology
5
Article|13 citations·2019
mirTime: identifying condition-specific targets of microRNA in time-series transcript data using Gaussian process model and spherical vector clustering
Hyejin Kang, Hongryul Ahn, Kyuri Jo, Minsik Oh, Sun Kim
SJR Q1Bioinformatics

BACKGROUND: MicroRNAs, small noncoding RNAs, are conserved in many species, and they are key regulators that mediate post-transcriptional gene silencing. Since biologists cannot perform experiments for each of target genes of thousands of microRNAs in numerous specific conditions, prediction on microRNA target genes has been extensively investigated. A general framework is a two-step process of selecting target candidates based on sequence and binding energy features and then predicting targets

Cancer ResearchBiochemistry, Genetics and Molecular Biology
6
Article|13 citations·2012
공공기관의 성과평가 및 보상에 관한 연구:한국자산관리공사(KAMCO) 성과평가 및 성과급 구축사례를 중심으로
강혜진

This research attempts to examine how organizational characteristics and environmental characteristics of public organization influence adoption and application of the performance evaluation system and pay-for-performance system. In doing so, internal documents and interviews with personnel managers in KAMCO were analyzed and the adoption of system can be divided into three phases. In the process of examining each phase, it was revealed that the factors contributing to the success of establishin

7
Article|9 citations·2017
Gating of memory encoding of time-delayed cross-frequency MEG networks revealed by graph filtration based on persistent homology
Jarang Hahm, Hyekyoung Lee, Hyojin Park, Eunjoo Kang, Yu Kyeong Kim, Chun Kee Chung, Hyejin Kang, Dong Soo Lee
SJR Q1Scientific ReportsOA

To explain gating of memory encoding, magnetoencephalography (MEG) was analyzed over multi-regional network of negative correlations between alpha band power during cue (cue-alpha) and gamma band power during item presentation (item-gamma) in Remember (R) and No-remember (NR) condition. Persistent homology with graph filtration on alpha-gamma correlation disclosed topological invariants to explain memory gating. Instruction compliance (R-hits minus NR-hits) was significantly related to negative

Computational Theory and MathematicsComputer Science
8
Article|9 citations·2015
Optimal likelihood-ratio multiple testing with application to Alzheimer’s disease and questionable dementia
Donghwan Lee, Hyejin Kang, Eunkyung Kim, Hyekyoung Lee, Heejung Kim, Yu Kyeong Kim, Youngjo Lee, Dong Soo Lee
SJR Q1BMC Medical Research MethodologyOA

This study showed that the proposed likelihood ratio-based false discovery rate method efficiently identifies extensive hypometabolic regions owing to its increased detection capability and ability to control the false discovery rate.

Statistics and ProbabilityMathematics
9
Article|8 citations·2020
Reorganized Brain White Matter in Early- and Late-Onset Deafness With Diffusion Tensor Imaging
Eunkyung Kim, Hyejin Kang, Kyuhee Han, Hyo‐Jeong Lee, Myung‐Whan Suh, Jae‐Jin Song, Seung Ha Oh
SJR Q1Ear and Hearing

OBJECTIVES: Individuals with early- and late-onset deafness showed different functional and morphological brain changes, but white matter alterations in both deaf groups still need to be elucidated. This study aimed to investigate changes in white matter integrity and white matter anatomical connectivity in both early- and late-onset deaf groups compared with hearing group. DESIGN: Diffusion tensor imaging data from 7 early-onset deaf (50.7 ± 6.5 years), 11 late-onset deaf (50.9 ± 12.3 years), a

Radiology, Nuclear Medicine and ImagingMedicine
10
Article|7 citations·2022
Characteristic functional cores revealed by hyperbolic disc embedding and k-core percolation on resting-state fMRI
Wonseok Whi, Youngmin Huh, Seunggyun Ha, Hyekyoung Lee, Hyejin Kang, Dong Soo Lee
SJR Q1Scientific ReportsOA

Abstract Hyperbolic disc embedding and k -core percolation reveal the hierarchical structure of functional connectivity on resting-state fMRI (rsfMRI). Using 180 normal adults’ rsfMRI data from the human connectome project database, we visualized inter-voxel relations by embedding voxels on the hyperbolic space using the $${\mathbb{S}}^{1} /{\mathbb{H}}^{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>S</mml:mi> </mml:mrow> <mml:mn>1</mml:m

Cognitive NeuroscienceNeuroscience
11
Article|5 citations·2021
Auditory cortex hyperconnectivity before rTMS is correlated with tinnitus improvement
Eunkyung Kim, Hyejin Kang, Tae-Soo Noh, S.H. Oh, Myung‐Whan Suh
SJR Q2NeurologíaOA

Our results suggest that oversynchronisation of left A1 connectivity before rTMS of the left A1 and DLPFC is associated with treatment effectiveness.

Sensory SystemsNeuroscience
12
Article|5 citations·2012
학교장의 관리적 행태가 조직성과에 미치는 영향에 관한 연구:‘Does Management Matter?’ 명제에 대한 검증을 중심으로
강혜진

This study analyzes the factors influencing the organizational performance of schools in Korea, using the 'governance model'. In recent years, the importance of managerial factors in the public sector has been emphasized. To examine whether this emphasis is justified, this study analyzes data collected from the Korean Educational Panel Study wave II and III. The results of the analysis demonstrate that school leaders' managerial actions are important influential factors, as are parental factors

13
Preprint|4 citations·2021
Hyperbolic disc embedding of functional human brain connectomes using resting state fMRI
Wonseok Whi, Seunggyun Ha, Hyejin Kang, Dong Soo Lee
bioRxiv (Cold Spring Harbor Laboratory)OA

Abstract The brain presents a real complex network of modular, small-world, and hierarchical nature, which are features of non-Euclidean geometry. Using resting-state functional magnetic resonance imaging (rs-fMRI), we constructed a scale-free binary graph for each subject, using internodal time-series correlation of regions-of-interest (ROIs) as a proximity measure. The resulted network could be embedded onto manifolds of various curvature and dimensions. While maintaining the fidelity of embed

Cognitive NeuroscienceNeuroscience
14
Article|4 citations·2005
연합기억과제의 특성과 해마 활성화에 대한 fMRI 연구
강혜진, 이동수, 강은주, 이정모, 나덕렬, 나동규

본 연구는 해마가 관여하는 연합기억의 유형을 규명하고자 두 종류의 서로 다른 연합기억 과제를 비교하여, 해마가 활성화 되는 연합기억 과제가 어떤 과제인가를 알아보고자 하였다. 연합 기억의 부호화와 재인 동안 활성화 되는 영역을 정상 성인들(N=16)을 대상으로 fMRI를 이용하여 연구하였다. 연합 기억 과제의 유형에 따라, 명명가능한 선형그림 자극을 그 자극이 제시되었던 위치(좌/우)와 함께 기억하여야 하거나(그림-위치 과제), 인위적으로 짝지워진 다른 선형그림과 함께 기억(그림-그림 과제) 기억 할 것이 요구되었다. 응시 기저 조건에 비하여, 해마는 그림-그림 과제 동안 부호화와 인출 중에 활성화 되었으나 그림-위치 과제 동안은 활성화 되지 않았다. 시각피질과 좌측 전전두엽 및 두정엽의 활성화가 두 과제 모두에서 관찰되었으나 공간적 주의, 또는 탐색이 요구되었을 그림-위치 과제동안에만 우측 상소구에서 활성화가 관찰되었다. 본 연구의 결과는 기억해야 할 정보의 유형의 특성에 따라 해

15
Article|3 citations·2002
Relationship between Brain Perfusion SPECT and MMSE Score in Dementia of Alzheimer's Type: A statistical Parametric Mapping Analysis
Hyejin Kang, Dong‐Soo Lee, Eunjoo Kang, Jae‐Sung Lee, Seong-Seok Yeo, Jin-Yeong Kim, Dong-Woo Lee, Maeng‐Je Cho, June-Key Chung, Myung Chul Lee
The Korean Journal of Nuclear Medicine

Purpose : The aim of this study was to identify the brain areas in which reductions of regional cerebral blood flow (rCBF) were correlated with decline of general mental function, measured by Mini-Mental State Examination (MMSE). Materials and Methods : Tc-99m HMPAO brain SPECT was peformed in 9 probable AD patients at the initial and follow-up periods of 1.8 years (average) after the first study. MMSE scores were also measured in both occasions. The mean MMSE score of the initial study 16.4 (ra

NeurologyNeuroscience

Research Areas

Cognitive NeuroscienceComputational Theory and MathematicsRadiology, Nuclear Medicine and ImagingPsychiatry and Mental healthMolecular BiologyInformation Systems

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