| The virtual brain integrates computational modeling and multimodal neuroimaging P Ritter, M Schirner, AR McIntosh, VK Jirsa Brain connectivity 3 (2), 121-145, 2013 | 248 | 2013 |
| Inferring multi-scale neural mechanisms with brain network modelling M Schirner, AR McIntosh, V Jirsa, G Deco, P Ritter elife 7, e28927, 2018 | 154 | 2018 |
| An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data M Schirner, S Rothmeier, VK Jirsa, AR McIntosh, P Ritter NeuroImage 117, 343-357, 2015 | 151 | 2015 |
| Structural architecture supports functional organization in the human aging brain at a regionwise and network level J Zimmermann, P Ritter, K Shen, S Rothmeier, M Schirner, AR McIntosh Human brain mapping 37 (7), 2645-2661, 2016 | 101 | 2016 |
| How do parcellation size and short-range connectivity affect dynamics in large-scale brain network models? T Proix, A Spiegler, M Schirner, S Rothmeier, P Ritter, VK Jirsa NeuroImage 142, 135-149, 2016 | 86 | 2016 |
| Differentiation of Alzheimer's disease based on local and global parameters in personalized Virtual Brain models J Zimmermann, A Perry, M Breakspear, M Schirner, P Sachdev, W Wen, ... NeuroImage: Clinical 19, 240-251, 2018 | 80 | 2018 |
| A macaque connectome for large-scale network simulations in TheVirtualBrain K Shen, G Bezgin, M Schirner, P Ritter, S Everling, AR McIntosh Scientific data 6 (1), 123, 2019 | 63 | 2019 |
| Modeling brain dynamics after tumor resection using The Virtual Brain H Aerts, M Schirner, T Dhollander, B Jeurissen, E Achten, D Van Roost, ... NeuroImage 213, 116738, 2020 | 59 | 2020 |
| Modeling brain dynamics in brain tumor patients using the virtual brain H Aerts, M Schirner, B Jeurissen, D Van Roost, E Achten, P Ritter, ... Eneuro 5 (3), 2018 | 55 | 2018 |
| Brain simulation as a cloud service: The Virtual Brain on EBRAINS M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ... NeuroImage 251, 118973, 2022 | 49 | 2022 |
| Subject specificity of the correlation between large-scale structural and functional connectivity J Zimmermann, J Griffiths, M Schirner, P Ritter, AR McIntosh Network Neuroscience 3 (1), 90-106, 2018 | 38 | 2018 |
| Dynamic primitives of brain network interaction M Schirner, X Kong, BTT Yeo, G Deco, P Ritter NeuroImage 250, 118928, 2022 | 20 | 2022 |
| Learning how network structure shapes decision-making for bio-inspired computing M Schirner, G Deco, P Ritter Nature Communications 14 (1), 2963, 2023 | 9 | 2023 |
| Bridging multiple scales in the human brain using computational modelling M Schirner, AR McIntosh, VK Jirsa, G Deco, P Ritter bioRxiv, 085548, 2016 | 9 | 2016 |
| TVB-edupack—an interactive learning and scripting platform for The Virtual Brain H Matzke, M Schirner, D Vollbrecht, S Rothmeier, A Llarena, R Rojas, ... Frontiers in Neuroinformatics 9, 27, 2015 | 9 | 2015 |
| Brain modelling as a service: the virtual brain on EBRAINS M Schirner, L Domide, D Perdikis, P Triebkorn, L Stefanovski, R Pai, ... arXiv preprint arXiv:2102.05888, 2021 | 7 | 2021 |
| Pre-and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling H Aerts, N Colenbier, H Almgren, T Dhollander, JR Daparte, K Clauw, ... Scientific Data 9 (1), 676, 2022 | 6 | 2022 |
| Personalized connectome-based Modeling in patients with semi-acute phase TBI: relationship to acute neuroimaging and 6 month follow-up T Good, M Schirner, K Shen, P Ritter, P Mukherjee, B Levine, ... Eneuro 9 (1), 2022 | 6 | 2022 |
| Brain network simulations indicate effects of neuregulin-1 genotype on excitation-inhibition balance in cortical dynamics PC Klein, U Ettinger, M Schirner, P Ritter, D Rujescu, P Falkai, ... Cerebral Cortex 31 (4), 2013-2025, 2021 | 4 | 2021 |
| A deep learning approach to estimating initial conditions of brain network models in reference to measured fMRI data A Kashyap, S Plis, P Ritter, S Keilholz Frontiers in Neuroscience 17, 1159914, 2023 | 3 | 2023 |
