| Local temporal variability reflects functional integration in the human brain DD Garrett, SM Epp, A Perry, U Lindenberger Neuroimage 183, 776-787, 2018 | 78 | 2018 |
| An energy costly architecture of neuromodulators for human brain evolution and cognition G Castrillon, S Epp, A Bose, L Fraticelli, A Hechler, R Belenya, A Ranft, ... Science advances 9 (50), eadi7632, 2023 | 37 | 2023 |
| Higher performers upregulate brain signal variability in response to more feature-rich visual input DD Garrett, SM Epp, M Kleemeyer, U Lindenberger, TA Polk Neuroimage 217, 116836, 2020 | 35 | 2020 |
| Dynamic regulation of neural variability during working memory reflects dopamine, functional integration, and decision-making DD Garrett, NA Kloosterman, S Epp, V Chopurian, JQ Kosciessa, ... bioRxiv, 2022.05. 05.490687, 2022 | 10 | 2022 |
| Physics-aware motion simulation for T2*-weighted brain MRI H Eichhorn, K Hammernik, V Spieker, SM Epp, D Rueckert, C Preibisch, ... International Workshop on Simulation and Synthesis in Medical Imaging, 42-52, 2023 | 8 | 2023 |
| How can we reduce the climate costs of OHBM? A vision for a more sustainable meeting S Epp, H Jung, V Borghesani, M Klöwer, ME Hoeppli, M Misiura, ... Aperture Neuro 3, 1-16, 2023 | 7 | 2023 |
| Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging J Kufer, C Preibisch, S Epp, J Göttler, L Schmitzer, C Zimmer, F Hyder, ... Journal of Cerebral Blood Flow & Metabolism 42 (2), 349-363, 2022 | 6 | 2022 |
| Two distinct modes of hemodynamic responses across the human cortex SM Epp, G Castrillón, B Yuan, J Andrews-Hanna, C Preibisch, V Riedl bioRxiv, 2023.12. 08.570806, 2023 | 5 | 2023 |
| Deep learning-based detection of motion-affected K-space lines for T2*-weighted MRI H Eichhorn, K Hammernik, V Spieker, SM Epp, D Rueckert, C Preibisch, ... arXiv preprint arXiv:2303.10987, 2023 | 3 | 2023 |
| Investigating the impact of motion and associated B0 changes on oxygenation sensitive MRI through realistic simulations H Eichhorn, K Hammernik, SM Epp, DC Karampinos, JA Schnabel, ... Proceedings of the International Society for Magnetic Resonance in Medicine 31, 2023 | 2 | 2023 |
| Quantitative functional imaging of visual cortex activity in humans using multi-parametric blood oxygenation level dependent MRI C Preibisch, S Koutsouli, S Kaczmarz, S Epp, V Riedl Proceedings of the 27th annual meeting ISMRM. Retrieved from https://cds …, 2019 | 1 | 2019 |
| Simultaneous quantification of oxygen and glucose consumption during visual stimulation in the human cortex A Bose, SM Epp, R Belenya, K Kurcyus, EC Dominguez, A Ranft, ES Villa, ... bioRxiv, 2024.10. 11.617828, 2024 | | 2024 |
| Neuroenergetics and function of the default mode network SM Epp lmu, 2023 | | 2023 |
| Oxygen metabolism changes in support of positive but not negative BOLD signal changes S Epp, C Preibisch, J Andrews-Hanna, V Riedl JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 42 (1_ SUPPL), 171-172, 2022 | | 2022 |
| Simultaneous quantification of glucose and oxygen metabolism in the cortex during task processing A Bose, S Epp, K Kurcyus, A Ranft, A Hechler, I Yakushev, C Preibisch, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 42 (1_ SUPPL), 119-120, 2022 | | 2022 |
| Individualized signaling density map of the human brain G Castrillon, K Kurcyus, L Utz, S Epp, A Bose, A Ranft, L Sundar, ... JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM 42 (1_ SUPPL), 5-6, 2022 | | 2022 |
| Local temporal variability reflects functional network integration in the human brain: On the crucial role of the thalamus (Version posted online February 20, 2018) DD Garrett, SM Epp, A Perry, U Lindenberger | | 2018 |
| Local temporal variability reflects functional network integration in the human brain: On the crucial role of the thalamus DD Garrett, SM Epp, A Perry, U Lindenberger BioRxiv, 184739, 2017 | | 2017 |
| Flexibility of fMRI resting-state functional connectivity networks SM Epp Humboldt-Universität zu Berlin, 2016 | | 2016 |
| Quantitative cerebral oxygenation mapping by MRI with whole brain coverage compared to PET J Kufer, C Preibisch, S Epp, J Goettler, K Weiss, MB Hansen, C Zimmer, ... | | |
