| Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia D Dong, D Yao, Y Wang, SJ Hong, S Genon, F Xin, K Jung, H He, ... Psychological medicine 53 (3), 771-784, 2023 | 55 | 2023 |
| Effective connectivity during working memory and resting states: A DCM study K Jung, KJ Friston, C Pae, HH Choi, S Tak, YK Choi, B Park, CA Park, ... NeuroImage 169, 485-495, 2018 | 37 | 2018 |
| Parcellation-induced variation of empirical and simulated brain connectomes at group and subject levels JWM Domhof, K Jung, SB Eickhoff, OV Popovych Network Neuroscience 5 (3), 798-830, 2021 | 24 | 2021 |
| Fully automated and real-time volumetric measurement of infarct core and penumbra in diffusion-and perfusion-weighted MRI of patients with hyper-acute stroke H Lee, K Jung, DW Kang, N Kim Journal of Digital Imaging 33, 262-272, 2020 | 24 | 2020 |
| Inter-subject and inter-parcellation variability of resting-state whole-brain dynamical modeling OV Popovych, K Jung, T Manos, S Diaz-Pier, F Hoffstaedter, J Schreiber, ... NeuroImage 236, 118201, 2021 | 21 | 2021 |
| Tractography density affects whole-brain structural architecture and resting-state dynamical modeling K Jung, SB Eickhoff, OV Popovych NeuroImage 237, 118176, 2021 | 13 | 2021 |
| Intermediately synchronised brain states optimise trade-off between subject specificity and predictive capacity L Sasse, DI Larabi, A Omidvarnia, K Jung, F Hoffstaedter, G Jocham, ... Communications biology 6 (1), 705, 2023 | 9* | 2023 |
| Developing a tutorial to address student difficulties in learning curl: a link between qualitative and mathematical reasoning K Jung, G Lee Canadian Journal of Physics 90 (6), 2012 | 9 | 2012 |
| Whole-brain dynamical modelling for classification of Parkinson’s disease K Jung, E Florin, KR Patil, J Caspers, C Rubbert, SB Eickhoff, ... Brain communications 5 (1), fcac331, 2023 | 7 | 2023 |
| Dynamic causal modeling for calcium imaging: Exploration of differential effective connectivity for sensory processing in a barrel cortical column K Jung, J Kang, S Chung, HJ Park NeuroImage 201, 116008, 2019 | 7 | 2019 |
| Dynamic causal modeling of hippocampal activity measured via mesoscopic voltage-sensitive dye imaging J Kang, K Jung, J Eo, J Son, HJ Park NeuroImage 213, 116755, 2020 | 4 | 2020 |
| 대학 전공 역학 과정에서 학생이 경험하는 Curl 이해의 어려움과 그 원인구조 정계삼， 이경호 새물리 58 (1), 48-61, 2009 | 4 | 2009 |
| Parcellation-based resting-state blood-oxygen-level-dependent (BOLD) signals of a healthy cohort (v1. 0) JWM Domhof, OV Popovych, K Jung, SB Eickhoff Gehirn & Verhalten, 2022 | 1 | 2022 |
| Parcellation-based structural and resting-state functional brain connectomes of a healthy cohort J Domhof, S Eickhoff, K Jung, O Popovych Gehirn & Verhalten, 2021 | 1 | 2021 |
| Suppression of spontaneous activity before visual response in the primate V1 neurons during a visually guided saccade task C Lee, J Lee, K Jung i-Perception 3 (9), 610-610, 2012 | 1 | 2012 |
| Simulated brain networks reflecting progression of Parkinson's disease K Jung, SB Eickhoff, J Caspers, UKD-PD team, OV Popovych bioRxiv, 2024.01. 12.574450, 2024 | | 2024 |
| Commentary on Pang et al.(2023) Nature KR Patil, K Jung, SB Eickhoff bioRxiv, 2023.10. 06.561240, 2023 | | 2023 |
| Impact of data processing parameters on whole-brain dynamical models K Jung Dissertation, Düsseldorf, Heinrich-Heine-Universität, 2023, 2023 | | 2023 |
| Predicting dual-task performance from individualized functional and structural netwo LK Paas Oliveros, M Heckner, H Liu, K Jung, V Müller, D Hu, R Langner, ... Organization for Human Brain Mapping (OHBM), 2023 | | 2023 |
| Impact of data processing on DCM estimates of effective connectivity from task-evoked fMRI S Zhang, K Jung, R Langner, E Florin, SB Eickhoff, OV Popovych The 29th Annual Meeting of the Organization for Human Brain Mapping, 2023 | | 2023 |
Simon B. EickhoffInstitut for Systems Neuroscience, Heinrich-Heine-Universität DüsseldorfEmail verificata su uni-duesseldorf.de
