Publikationen von Romy Lorenz

Chaimow, D.; Lorenz, R.; Weiskopf, N.: Closed-loop fMRI at the mesoscopic scale of columns and layers: Can we do it and why would we want to? Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 379 (1915), 20230085 (2024)

Langer, N.; Weber, M.; Hebling Vieira, B.; Strzelczyk, D.; Wolf, L.; Pedroni, A.; Heitz, J.; Müller, S.; Schultheiss, C.; Troendle, M. et al.; Lasprilla, J. C. A.; Rivera, D.; Scarpina, F.; Zhao, Q.; Leuthold, R.; Wehrle, F.; Jenni, O.; Brugger, P.; Zaehle, T.; Lorenz, R.; Zhang, C.: A deep learning approach for automated scoring of the Rey–Osterrieth complex figure. eLife 13, RP96017 (2024)

Degutis, J. K.; Chaimow, D.; Haenelt, D.; Assem, M.; Duncan, J.; Haynes, J.-D.; Weiskopf, N.; Lorenz, R.: Dynamic layer-specific processing in the prefrontal cortex during working memory. Communications Biology 7 (1), 1140 (2024)

Kurtin, D. L.; Araña‐Oiarbide, G.; Lorenz, R.; Violante, I. R.; Hampshire, A.: Planning ahead: Predictable switching recruits task‐active and resting‐state networks. Human Brain Mapping 44 (15), S. 5030 - 5046 (2023)

Ouyang, G.; Dien, J.; Lorenz, R.: Handling EEG artifacts and searching individually optimal experimental parameter in real time: A system development and demonstration. Journal of Neural Engineering 19 (1), 016016 (2022)

Lorenz, R.; Johal, M.; Dick, F.; Hampshire, A.; Leech, R.; Geranmayeh, F.: A Bayesian optimization approach for rapidly mapping residual network function in stroke. Brain 144 (7), S. 2120 - 2134 (2021)

Lorenz, R.; Simmons, L. E.; Monti, R. P.; Arthur, J. L.; Limal, S.; Laakso, I.; Leech, R.; Violante, I. R.: Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain Stimulation 12 (6), S. 1484 - 1489 (2019)

Cole, J. H.; Lorenz, R.; Geranmayeh, F.; Wood, T.; Hellyer, P.; Williams, S.; Turkheimer, F.; Leech, R.: Active acquisition for multimodal neuroimaging. Wellcome Open Research 3, 145 (2019)

Chaimow, D.; Degutis, J. K.; Haenelt, D.; Trampel, R.; Weiskopf, N.; Lorenz, R.: Towards a reproducible layer fMRI pipeline for high-level cognition. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Chaimow, D.; Weiskopf, N.; Lorenz, R.: Estimating voxel-wise laminar depth from surface meshes. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Degutis, J. K.; Chaimow, D.; Haenelt, D.; Assem, M.; Duncan, J.; Weiskopf, N.; Lorenz, R.: Increased working memory load activates superficial layers of the dorsolateral prefrontal cortex. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Lorenz, R.; Chaimow, D.; Degutis, J. K.; Assem, M.; Duncan, J.; Weiskopf, N.: Probing the laminar circuitry of the dlPFC during the attentional modulation of working memory. 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom (2022)

Brammerloh, M.; Mueller, K.; Schmidt, J.; Lorenz, R.; Lipp, I.; Chaimow, D.; Eichner, C.; Kirilina, E.; Scherf, N.: Neuroimaging physics and signal processing: Basic MR acquisition & data analysis. Vorlesung: IMPRS NeuroCom Lecture Series, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 04. Oktober 2021 - 07. Oktober 2021

Chaimow, D.; Degutis, J. K.; Haenelt, D.; Trampel, R.; Weiskopf, N.; Lorenz, R.: Challenges in replicating layer-specificity of working memory processes in human dlPFC. bioRxiv (2025)

Langer, N.; Weber, M.; Vieira, B. H.; Strzelczyk, D.; Wolf, L.; Pedroni, A.; Heitz, J.; Schultheis, C.; Troendle, M.; Lasprilla, J. C. A. et al.; Rivera, D.; Scarpina, F.; Zhao, Q.; Leuthold, R.; Wehrle, F.; Jenni, O. G.; Brugger, P.; Zaehle, T.; Lorenz, R.; Zhang, C.: Automating clinical assessments of memory deficits: Deep Learning based scoring of the Rey-Osterrieth Complex Figure. bioRxiv (2023)