Kyesam Jung

Doctoral 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, 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

Hyunna Lee†, Kyesam Jung†, Dong-Wha Kang, Namkug Kim (2020) Fully Automated and Real-Time Volumetric Measurement of Infarct Core and Penumbra in Diffusion- and Perfusion-Weighted MRI of Patients with Hyper-Acute Stroke. Journal of Digital Imaging, 33, pp. 262-272. PMID: 31267445, DOI: https://doi.org/10.1007/s10278-019-00222-2

Kyesam Jung, Karl J. Friston, Chongwon Pae, Yoon Kyoung Choi, Sungho Tak, Hanseul H. Choi, Bumhee Park, Chan-A Park, Chaejoon Cheong, and Hae-Jeong Park (2018). Effective connectivity during working memory and resting states: a DCM study. Neuroimage, 169, pp.485-495. PMID: 29284140, DOI: https://doi.org/10.1016/j.neuroimage.2017.12.067

†Co-first author

Letzte Änderung: 04.09.2023