LAB MEMBERS

Principle Investigator

Haejeong Park

Professor
Current Position
Professor, Department of Nuclear Medicine, Yonsei University College of Medicine
Main Research Interests

◆ Integrating systems and theoretical neurosciences to model neuro-cognition and disease mechanism.

◆ Predicting brain plasticity based on network organization theory.

◆ Reading mind and facilitating network reorganization using real-time fMRI and brain decoding.

◆ Bayesian inference of linguistic, communicative and social brains.

◆ Medical image processing, registration and segmentation for surgical planning and medical diagnosis.

Email: PARKHJ@yuhs.ac
CV: here

Research Professor

Jiyoung Kang

Research Professor
Education
Yonsei University
Research Professor | Physics
2017 - Present
Jiyong's Research Interests
The human brain is an inherently complex and dynamic system. Unlike other exisiting static brain network studies, my current research mainly focuses on understanding the mechanisms of the brain as well as brain diseases by constructing a computational brain imaging model and analysis system that reflects features of the brain. Based on this, the established brain system will contribute to the theoretical basis of pathological brain function control and diagnosis of brain diseases during development. I have introduced a data analysis technique in physics and am searching for a technique for artificial intelligence such as statistical mechanics to analyze and induce dynamic system changes.
Keywords

    • A
    • B
    • C
    • D

CV: click here
Email: jykang01@yonsei.ac.kr

Ph.D. Candidates

Chongwon Pae

PhD Candidate
Chongwon's Research Interests

    • Computational Neuroscience
    • Systems Neuroscience
    • Dynamic Causal Modeling
    • Machine Learning for Medical Imaging

Email: paecw@yuhs.ac

M.S. Students

Jinseok Ur

MS Student
Education
Yonsei University
M.Sc. | Medical Science
2015 - Present
Jinseok's Research Interests
My primary research interest is in learning how to design and implement research-specific computational models, and I am now focusing on developing the MNET toolbox, the research method covered in our lab. Besides modeling, I also have a strong interest in neuroscience as well as cognitive science which examines the functions of cognition.
Keywords
    • Modeling


Email: jinseok007@naver.com

Yoonkyoung Choi

MS Student
Education
Yonsei University
M.S. | Cognitive Neuroscience
2017 - Present
Yoonkyong's Research Interests
I am currently developling a mobile-based application that would screen cognitive, social, and communication skills deficits through attention, memory, and social skill tasks. fMRI data of these subjects will be collected and analyzed.
Keywords
    • Cognitive Neuroscience
    • Social Neuroscience
    • Decision Making
    • Memory


Email: ykchoi107@gmail.com

Sibaek Seong

MS Student
Education
Yonsei University
M.Sc. | Medical Science
2017 - Present
Sibaek's Research Interests
I am in the process of diagnosing a disease through CNN using MRI data and analyzing the individual differences in brain structure. Moreover, we are implementing additional diagnostic studies using multi-modality data.
Keywords
    • Machine learning (neural network, RL)
    • Solving Brain-mind-education problem


Email: firstsb@gmail.com

Junho Sohn

MS Student
Education
Yonsei University
M.S. | Medical Science
2017 - Present
Junho's Research Interests
My long-term research question is to know how the human mind be implemented by a set of equations. With functional connectivity analysis, we can obtain signal correlations between various regions of brain. However, correlations cannot offer causal relationships. Because many scientific questions necessitate a cause-effect relationship, functional connectivity may not be enough to reveal the underlying mechanisms of the brain. Dynamic causal modelling is a major method for estimating effective connectivity, which can offer causal relationships, and this technology is rapidly expanding. However, this top-down representation of the brain is not fully understood yet, and the link between micro-level neurophysiology and macro-level effective connectivity is still unclear. For now, my major interest is reducing the gap between the two areas of neuroscience by developing a multi-scale, multi-modal analysis framework.
Keywords
    • Mathematical Modeling
    • Network dynamics of brain


Email: junho0525@gmail.com

Yoo Sole

MS Student
Education
XXX University
B.S. | XXX
20XX - 20XX
Sole's Research Interests
Will be updated soon.
Keywords
    • A
    • B
    • C


Email: yoosolemio@gmail.com

Hyunseok Bahng

MS Student
Education
Kongju National University
B.S. | Mathematics Education
2011 - 2017
Hyunseok's Research Interests
By studying the mechanism and causal relationships between different neurons in the human brain, I am working on constructing artificial neural networks and inferring complex brain activities. Going beyond the methodology used in observing the functional connectivity between neurons, I hope to build a mathematical model that would measure various activities of neurons and identify causal relationships between neurons.
Keywords
    • Dynamic Causal Modeling
    • Computational Neuroscience
    • Machine Learning


Email: hsbahng@naver.com

PostDoc Researcher

Haeyoon Choi

Post Doc
Education
Stony Brook University
Ph.D.,M.A. | Cognitive Science, Cognitive/Experimental Psychology
2009- 2015
Haeyoon's Current Project
Cognitive control functions are associated with a wide range of psychological processes, including but not limited to attention, memory, emotional and social processes. Deficits in such functions in children and adolescents are likely to cause problems such as learning disorders and attention deficient hyper-activity disorder. It also may lead to poor social relationships and affect quality of life in the long run. One line of our research is to develop and validate a new diagnosis paradigm that considers both cognitive and non-cognitive functions such as social and communication skills as well as emotional control. In order to improve the accessibility of pre-existing diagnosis strategies, we are developing a new form of computerized remediation therapy program by implementing mobile-based virtual reality (VR) technology. This line of research will open new possibilities in diagnosing and treating cognitive control deficiency by 1) acquiring natural response data (opposed to the types of data that are collected in more controlled settings, such as clinics or laboratories), 2) enabling treatment in an interactive and naturalistic environment, 3) employing artificial intelligence technology to extract principal index from complex multi-dimensional data, 4) strengthening personalized side in executing treatment programs.
Keywords

    • Social cognition
    • Social influences on memory
    • Emotional memory
    • Collective memory
    • fMRI

Email: haeyoon.choi@gmail.com

Researchers

Changwon Jang

Researcher
Education
Yonsei University
PH.D.,M.Sc. | Medical Science
2010 - 2018
Changwon's Research Interests
My main interest is to search for the brain network related to individual differences in humans. Going beyond the fact that there are commonalities of brain activation among people during task performance, I would like to examine whether there are individual differences in brain activity involved in such cognitive processes. Indeed, all humans are similar, but the operation of each brain is critically dependent on its individual inherent details. Apart from that, I am also engaging in an active research based on deep learning on how to perform between-subject co-registration (also called hyper-alignment) based on functional connectivity.
Keywords
    • Individual difference
    • Neurofeedback
    • Connectivity
    • Deep Learning


Email: changwon@yuhs.ac

Kyesam Jung

Researcher
Education
Seoul National University
M.S. | Neuroscience
(Interdisciplinary Program of Brain Science)
2010 - 2013
Kyesam's Research Interests
I am conducting two different studies. One is to use fMRI data from a working memory task to track effective connectivity and see the degeneracy (or phenotype) of the effective causal network during the memory task. Our team estimated the resting-state effective connectivity of the same participants as well as the reconfiguration of connectivity across brain regions, thereby finding a correlation between response time and degree of reconfiguration. Another is to build a model of the thalamocortical circuit of rodent barrel cortex and verify its validity based on electrophysiology, optogenetics, and fMRI data. At the same time, I am developing a framework for a software, also known as the animal MNET, to analyze related data.
Keywords
    • Computational Neuroscience
    • Systems Neuroscience
    • Brain simulation
    • Canonical/Cortical Microcircuit
    • Dynamic Causal Modeling


Email: ksjung@yuhs.ac

Maengkeun Oh

Researcher

Image Analyst

Email: ohmk5@yuhs.ac

Internship Students

Hanseul Choi

Intern
Education
University of Rochester,
Yonsei University (currently enrolled*)
B.A., B.S.* | Psychology, Biology*
Hanseul's Research Interests
I am interested in the optimal and dysfunctional organization of the salience network and other related neural networks that contribute to attentional control. My long-term goal as an aspiring researcher is to contribute to diagnosis and treatment of a host of neuropsychiatric disorders that have an element of attentional dysfunction as a root cause of their pathophysiology -depression, PTSD, ADHD, and even OCD. I believe that by better understanding neural connectivity (functional connectivity and effective connectivity from fMRI data) of these networks and linking it to behavioral and clinical outcomes will help advance the field of psychiatry by a great stride. I am also looking for ways to apply neuromodulation technology such as TMS and tDCS to modulate these networks to help improve cognitive performance and emotional control in healthy populations.

My side interests include…
– differential neural mechanisms underlying resting-state and Default Mode Network activity of individuals and their relations to psychological health
– tracking treatment efficacy in terms of network connectivity within the context of music therapy for Alzheimer’s Disease.
– neural mechanisms involved in psychological constructs implicated in intergroup (gender, race, political affiliation) conflicts and relations, such as stereotype, prejudice, and categorical person perception

At the lab, I have been working on an fMRI study trying to distinguish between differential interrogation anxiety type that proceeds after lying vs truth-telling by looking at fMRI data and I am currently helping with a DCM study on effective connectivity of N-back working memory network and its relationship to behavioral measures of executive control.

Keywords
    • Salience Network
    • Attentional Control
    • Neuromodulation


Email: hanseul.choi@gmail.com

Sungwon Kim

Medical Student
Education
Yonsei University
M.D. | Medical Student
XXXX - Present
Sungwon's Research Interests
My research area involves analysis on network dynamics and changes in the brain state by using a neural network technique for analysis of neural connections. We assess information on anatomical and functional connections between different brain regions through DTI and fMRI signals and make inferences on their causal networks. By estimating parameters of a computational model, we track effective connectivity and determine the cause of psychiatric, neurological, and cognitive dysfunction related diseases by analyzing the dynamic neural state signal and using the BOLD signal deconvolution technique.
Keywords
    • Dynamic brain modeling
    • Network science
    • Effective connectivity
    • BOLD signal deconvolution


Email: trevoriu2582@yonsei.ac.kr

Soowon Jo

Intern
Education
Cornell University
B.A.,B.F.A. | Psychology, Fine Arts
2010 - 2015
Soowon's Research Interests
My primary research interests involve how basic visual processes interact with higher-level aspects of perception, and visual aesthetics that influence other aspects of visual processing. The topics of my interest include high-level processes like attention, visual memory and consciousness, and social and emotional processing of visual information as in, for instance, human faces. As I pursue my career in such a research area, I would like to contribute to the understanding of the cognitive process which underlies artistic creation and reactions to artworks and provide my own insights into the complex problem of how people respond to their visual environments.
Keywords

    • Visual Cognitive Neuroscience
    • Cognitive Psychology
    • Perception
    • Emotion
    • Neuroaesthetics

Email: josoowon610@gmail.com

Close Menu