Kyesam Jung

Postdoctoral researcher

Forschungsthemen

Computational Neuroscience, Whole-brain simulation, Diffusion-weighted MRI

Kontakt

+49 2461/61-3332

+49 2461/61-2820

E-Mail

orcid: 0000-0003-3334-5462

researchgate

Adresse

Forschungszentrum Jülich GmbH
Wilhelm-Johnen-Straße
52428 Jülich

Institut für Neurowissenschaften und Medizin (INM)

Gehirn und Verhalten (INM-7)

Gebäude 14.6y / Raum 3051

Whole-brain dynamical modeling

I am interested in the information processing of the human brain network. The structural/anatomical connectivity in the brain can be the backbone of neural information processing. So, I reconstruct structural connectivity using structural data (T1-weighted and diffusion-weighted MRI). And the whole-brain models generate brain responses, e.g., blood-oxygen-level-dependent (BOLD) signal. By comparing simulated and empirical data, we can validate the whole-brain model. After the validation, the validated model will apply to the brain dynamics in clinical situations or cognitive research.

Publikationen

Kyesam Jung, Simon B. Eickhoff, Julian Caspers, UKD-PD team, Oleksandr V. Popovych* (2024) Simulated brain networks reflecting progression of Parkinson's disease. Network Neuroscience, 8(4): pp. 1400-1420. PMID: 39735513, DOI: https://doi.org/10.1162/netn_a_00406

Kyesam Jung, Esther Florin, Kaustubh R. Patil, Julian Caspers, Christian Rubbert, Simon B. Eickhoff, Oleksandr V. Popovych* (2023) Whole-brain dynamical modelling for classification of Parkinson’s disease. Brain Communications, 5(1): fcac331. PMID: 36601625, DOI: https://doi.org/10.1093/braincomms/fcac331

Kyesam Jung, Simon B. Eickhoff, Oleksandr V. Popovych* (2021) Tractography density affects whole-brain structural architecture and resting-state dynamical modeling. Neuroimage, 237: 118176. PMID: 34000399, DOI: https://doi.org/10.1016/j.neuroimage.2021.118176

Letzte Änderung: 02.04.2025