BDIL Home

About


The Brain Development Imaging Laboratory (BDIL) at the Korea Brain Research Institute studies how the human brain develops through childhood and adolescence, and how that development diverges in neurodevelopmental conditions such as autism spectrum disorder and ADHD.

We combine MRI, fMRI, fNIRS, and EEG with genetic and epigenetic analysis, and maintain a longitudinal pediatric imaging cohort. Our work runs from mechanism to application — digital biomarkers, software as a medical device, and digital therapeutics for children and their families.

KBRI

Institution

MRI · fNIRS · EEG

Multimodal Approach

Research


Imaging Genetics

Linking genotype, methylation, and brain structure and function in children — using whole genome sequencing and genotyping from saliva samples to explain individual differences in brain development.

Multimodal Neuroimaging

Integrating MRI, fMRI, fNIRS, and EEG to trace developmental trajectories of behavior and brain across childhood and adolescence, with clinical application in mind.

Digital Biomarkers & Therapeutics

Building gamified assessment and digital therapeutic content for developmental disorders, and identifying biomarkers from multimodal biosignals for screening and differential diagnosis.

Public Engagement

Brain science classrooms for children and neuroscience storybooks, bringing what we learn in the lab back to families, schools, and the wider community.

Members


Principal Investigator

Min-Young Jung

Min-Young Jung, Ph.D.

Dr. Jung earned his Ph.D. in child development from Osaka University, Japan, then worked as a research fellow in the Department of Psychiatry at Harvard Medical School (MGH) and as an assistant professor of psychiatry at the University of Fukui Hospital, Japan. He has directed the Brain Development Imaging Laboratory at KBRI since 2021. His main research themes are brain development and developmental disorders, gene–behavior–environment interactions and their influence on the brain, and the development and validation of digital therapeutics.

Researchers

Harim Jeong

Harim Jeong, Ph.D.

Designs digital health technology for mental health around user experience, and validates intervention effects with brain-based measures. Ph.D. in Interaction Science. Works on the neural effects of digital interventions using fMRI, clinical applicability of UX-based mental health systems, and the link between muscular and brain development.

Enkhmurun Chibaatar

Enkhmurun Chibaatar, MD, Ph.D.

A neuropsychiatrist whose research centers on depression. Ph.D. in Psychiatry from UOEH, Japan, where she studied triple network connectivity alterations, structural brain changes, and peripheral biomarkers in patients with depression. She works toward less invasive therapeutic approaches than current antidepressant treatment.

Natasha Y. S. Kawata

Natasha Y. S. Kawata, Ph.D.

Ph.D. in Neuroscience from Tohoku University, Japan. Studies how environmental experience shapes brain development, behavior, and mental health, combining multimodal neuroimaging with behavioral approaches to examine vulnerability, adaptation, and resilience — including caregiver mental health and intergenerational pathways.

HeeYoung Seon

HeeYoung Seon, Ph.D.

Ph.D. in Human Factors Engineering (Biomedical Engineering) from UNIST, where she studied the computational and neural mechanisms of social and risky decision-making using task-based fMRI, hierarchical Bayesian modeling, and EEG — including how social norms shape risk-taking and craving.

Hyeji Lee

Hyeji Lee, Ph.D.

Ph.D. in Psychology from the University of Edinburgh, studying the neural mechanisms of cognitive control development across childhood and adolescence. Uses EEG, fNIRS, and mixed-effects modeling to track how control is engaged and released during learning, and how it relates to adolescent risk-taking.

Haechan Jeong

Haechan Jeong, M.A.

M.A. in cognitive neuroscience from Chungnam National University, where he studied visual attention with functional data analysis of fMRI BOLD signals. At BDIL he examines parent–child brain development using large-scale resting-state fMRI, functional connectivity and gradient measures, and VR/Unity intervention platforms for children.

Graduate Students

Ji-Hyeong Ro

Ji-Hyeong Ro, M.S.

MS–PhD Course

Completed a master’s thesis on mindfulness. Researches how smart media addiction and depression affect children’s brains, working primarily in R.

JeongBeom Han

JeongBeom Han

MS Course

Graduated in computer software engineering and works on intervention research for Parkinson’s disease, aiming to develop and clinically validate AI-based remote digital rehabilitation. Codes mainly in Python and C.

DongYeol Lee

DongYeol Lee

MS–PhD Course

Combines software development, cybersecurity, and brain science to build AI-based digital therapeutics that capture everyday patient signs a short clinic visit would miss. Works in Java, C/C++, Python, and shell scripting.

Juwon Lee

Juwon Lee

Intern

M.S. in Brain Sciences from DGIST, where he developed hiPSC-based brain assembloid models to study sensory integration differences in autism. Now integrates genomic, neuroimaging, and sensory-behavioral data to link biology with individual differences in sensory experience.

Student Researchers

Yeonjin Choi

Yeonjin Choi, M.A.

B.A. and M.A. in Sociology from Yonsei University, now a master’s student in Bio and Brain Engineering at KAIST. Studies the neural basis of social interaction — how nonverbal cues such as facial expressions are processed and how they shape social adaptation and emotion regulation.

Ye-eun Lee

Ye-eun Lee

Psychology at Chung-Ang University. Has studied how infants learn words through media, and now uses fNIRS, EEG, and fMRI to examine children’s cognitive and emotional change in social contexts. Interests: developmental neuroscience, social cognition, emotional development.

Yejin Yu

Yejin Yu

Undergraduate in Biomedical Engineering at Kyungpook National University, supporting research projects and behavioral experiments at BDIL. Interests: ADHD, autism spectrum disorder, and treatment for neural hearing loss.