PUBLICATIONS

English romanization of the name changed
from Kakyeong Kim to Gakyung Kim (as of Sep 23rd, 2022)

* denotes equal contribution

🏆 denotes won the award

IN PREP

• • Kim, G., & Lee, S. A. (in prep). Children’s context-dependent social decision-making and probabilistic learning based on affiliation and dominance.

  • Kim, G., Rah, Y. J., Jun, H., Kim, H., & Lee, S. A. (under review). Development of memory binding in preschool-aged children: A focus on object-space and time-space associations.

  • Seo, J., Lee, E., Kim, B. G., Kim, G., Joo, Y. Y., & Cha, J. (in revision; Developmental Cognitive Neuroscience). Children’s structural brain network properties are related to genome-wide polygenic scores, cognition, and behaviors.

  • Yi, J., Lee, E., Kim, B. G., Kim, G., Joo, Y. Y., & Cha, J. (submitted). Polygenic, environmental, and brain structural factors of stress resilience and vulnerability in children facing COVID-19-related discrimination.

  • Choi, S. Y., Yi, J., Park, J., Lee, E., Kim, B. G., Kim, G., Joo, Y. Y., & Cha, J. (submitted). Individual differences in Effects of Stressful Life Events on Childhood ADHD: Genetic, Neural, and Familial Contributions.

  • Park, J., Cho, M., Lee, E., Kim, B. G., Kim, G., Joo, Y. Y., & Cha, J. (submitted). Heterogeneous effects of socioeconomic deprivation on children’s intertemporal decision-making and psychotic-like experiences.

  • Hong, S. B., Lee, E., Kang, S., Kim, B., Kim, G., Choi, S. Y., Joo, Y. Y., & Cha, J. (submitted). Behavioural, cognitive, genetic, and brain structural characteristics of children with subthreshold attention-deficit/hyperactivity disorder.

JOURNAL ARTICLES

• Joo, Y. Y. *, Kim, B. G. *, Kim, G. *, Lee, E. *, Seo, J., & Cha, J. (in press). Polygenic architecture of brain structure and function, behaviors, and psychopathologies in children. Nature Communications

• Kim, B.*, Kim, G.*, ENIGMA-OCD Working Group, & Cha, J. (2024). White matter diffusion estimates are predictive of obsessive-compulsive disorder across 1,653 individuals: DTI findings from the ENIGMA-OCD Working Group. Molecular Psychiatry. https://doi.org/10.1038/s41380-023-02392-6

• Wang, H. H., Moon, S. Y., Kim, H., Kim, G., Ahn, W. Y., Joo., Y. Y., & Cha, J. (2024). Early life stress modulates the genetic influence on brain structure and cognitive function in children. Heliyon. 10.1016/j.heliyon.2023.e23345

• Park, J., Lee, E., Cho, G., Hwang, H., Kim, B., Kim, G., Joo, Y. Y., Cha, J. (2023). Gene-Environment Pathways to Cognitive Development and Psychotic-Like Experiences in Children. eLife, 12, RP88117. 10.1101/2023.04.30.23289335

• Kim, K., Joo, Y. Y., Ahn, G., Wang, H. H., Moon, S. Y., Kim, H., Ahn, W. Y., & Cha, J. (2022). The sexual brain, genes, and cognition: A machine-predicted brain sex score explains individual differences in cognitive intelligence and genetic influence in young children. Human brain mapping, 43(12), 3857–3872. https://doi.org/10.1002/hbm.25888

• Cha, B., Kim, J., Kim, J. M., Choi, J. W., Choi, J., Kim, K., Cha, J., & Kim, M. (2022). Therapeutic Effect of Repetitive Transcranial Magnetic Stimulation for Post-stroke Vascular Cognitive Impairment: A Prospective Pilot Study. Frontiers in Neurology, 13, 813597. https://doi.org/10.3389/fneur.2022.813597 

• Luna, A., Bernanke, J., Kim, K., Aw, N., Dworkin, J. D., Cha, J., & Posner, J. (2021). Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth. Human Brain Mapping, 42(14), 4568–4579. https://doi.org/10.1002/hbm.25565

REFEREED CONFERENCE ARTICLES

• • Kim, K., & Jo, I. (2020). The Effect of Visual Cues on Cognitive Load Depending on Self-Regulation in Video-Based Learning. Educational Data Mining. (July 2020) 

  • Chung, J., Jeong, Y, Lee, S., Moon, S., Kim, K., (2018). Factors Influencing Cooperative Consciousness in Middle School Students. The Korean Children and Youth Panel Survey 2018. (KCYPS 2018). 3-27.

PREPRINT

• • Kim, B., Ahn, G., Kim, S., Kim, K., Kim, H., Ahn, W.-Y., Kim, J,-W., & Cha, J. (2021). Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging. MedArxiv.