Researcher Portfolio

 
   

Lorenz, Romy

Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, External Organizations, Max Planck Institute for Biological Cybernetics, Max Planck Society, Research Group Cognitive Neuroscience & Neurotechnology, Max Planck Institute for Biological Cybernetics, Max Planck Society  

 

Researcher Profile

 
Position: Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society
Position: External Organizations
Position: Max Planck Institute for Biological Cybernetics, Max Planck Society
Position: Research Group Cognitive Neuroscience & Neurotechnology, Max Planck Institute for Biological Cybernetics, Max Planck Society
Additional IDs: MPIKYB: rlorenz
ORCID: https://orcid.org/0000-0002-7742-3162
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons227457

External references

 

Publications

 
  (1 - 25 of 41)
 : Chaimow, D., Lorenz, R., & Weiskopf, N. (2024). 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. doi:10.1098/rstb.2023.0085. [PubMan] : Chaimow, D., Lorenz, R., & Weiskopf, N. (2024). 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. doi:10.1098/rstb.2023.0085. [PubMan] : Dermody, N., Lorenz, R., Goddard, E., Villringer, A., & Woolgar, A. (submitted). Spatial and feature-selective attention interact to drive selective coding in frontoparietal cortex. [PubMan] : Langer, N., Weber, M., Hebling Vieira, B., Strzelczyk, D., Wolf, L., Pedroni, A., Heitz, J., Müller, S., Schultheiss, C., Troendle, M., Lasprilla, J. C. A., Rivera, D., Scarpina, F., Zhao, Q., Leuthold, R., Wehrle, F., Jenni, O., Brugger, P., Zaehle, T., Lorenz, R., & Zhang, C. (2024). A deep learning approach for automated scoring of the Rey–Osterrieth complex figure. eLife, 13: RP96017. doi:10.7554/eLife.96017. [PubMan] : Langer, N., Weber, M., Hebling Vieira, B., Strzelczyk, D., Wolf, L., Pedroni, A., Heitz, J., Müller, S., Schultheiss, C., Troendle, M., Arango Lasprilla, J., Rivera, D., Scarpina, F., Zhao, Q., Leuthold, R., Wehrle, F., Jenni, O., Brugger, P., Zaehle, T., Lorenz, R., & Zhang, C. (2024). A deep learning approach for automated scoring of the Rey–Osterrieth complex figure. eLife, 13: RP9601. doi:10.7554/eLife.96017.3.sa0. [PubMan] : Degutis, J. K., Chaimow, D., Haenelt, D., Assem, M., Duncan, J., Haynes, J.-D., Weiskopf, N., & Lorenz, R. (2024). Dynamic layer-specific processing in the prefrontal cortex during working memory. Communications Biology, 7(1): 1140. doi:10.1038/s42003-024-06780-8. [PubMan] : Degutis, J., Chaimow, D., Haenelt, D., Assem, M., Duncan, J., Haynes, J.-D., Weiskopf, N., & Lorenz, R. (2024). Dynamic layer-specific processing in the prefrontal cortex during working memory. Communications Biology, 7(1): 1140. doi:10.1038/s42003-024-06780-8. [PubMan] : Lorenz, R. (2024). Layer-specific processing in the prefrontal cortex during working memory. Talk presented at Systems Neuroscience Symposium (SNS 2024). Tübingen, Germany. 2024-09-26 - 2024-09-27. [PubMan] : Lorenz, R. (2024). Introducing the “Cognitive Neuroscience & Neurotechnology” group: Advancing insights into human high-level cognition. Talk presented at Internal Cybernetic Seminar. Tübingen, Germany. 2024-04-05. [PubMan] : Kurtin, D. L., Araña‐Oiarbide, G., Lorenz, R., Violante, I. R., & Hampshire, A. (2023). Planning ahead: Predictable switching recruits task‐active and resting‐state networks. Human Brain Mapping, 44(15), 5030-5046. doi:10.1002/hbm.26430. [PubMan] : Kurtin, D., Araña‐Oiarbide, G., Lorenz, R., Violante, I., & Hampshire, A. (2023). Planning ahead: Predictable switching recruits task‐active and resting‐state networks. Human Brain Mapping, 44(15), 5030-5046. doi:10.1002/hbm.26430. [PubMan] : Soleimani, G., Nitsche, M., Bergmann, T., Towhidkhah, F., Violante, I., Lorenz, R., Kuplicki, R., Tsuchiyagaito, A., Mulyana, B., Mayeli, A., Ghobadi-Azbari, P., Mosayebi-Samani, M., Zilverstand, A., Paulus, M., Bikson, M., & Ekhtiari, H. (2023). Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments. Translational Psychiatry, 13(279). doi:10.1038/s41398-023-02565-5. [PubMan] : Langer, N., Weber, M., Vieira, B. H., Strzelczyk, D., Wolf, L., Pedroni, A., Heitz, J., Schultheis, C., Troendle, M., Lasprilla, J. C. A., Rivera, D., Scarpina, F., Zhao, Q., Leuthold, R., Wehrle, F., Jenni, O. G., Brugger, P., Zaehle, T., Lorenz, R., & Zhang, C. (2023). Automating clinical assessments of memory deficits: Deep Learning based scoring of the Rey-Osterrieth Complex Figure. bioRxiv. doi:10.1101/2022.06.15.496291. [PubMan] : Demody, N., Lorenz, R., Duncan, J., & Woolgar, A. (2023). Spatial and feature-selective attention interact to driveselective coding in frontoparietal cortex: data from healthy controls and focal lesion patients. Poster presented at 30th Anniversary Meeting of the Cognitive Neuroscience Society (CNS 2023), San Francisco, CA, USA. [PubMan] : Carricarte, T., Iamshchinina, P., Trampel, R., Chaimow, D., Lorenz, R., Weiskopf, N., & Cichy, R. (2022). Laminar activation pattern of category-selective regions during imagery and perception. Journal of Vision, 22(14), 3683. [PubMan] : Ciric, R., Thompson, W., Lorenz, R., Goncalves, M., MacNicol, E., Markiewicz, C., Halchenko, Y., Ghosh, S., Gorgolewski, K., Poldrack, R., & Esteban, O. (2022). TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models. Nature Methods, (19), 1568-1571. doi:10.1038/s41592-022-01681-2. [PubMan] : Chaimow, D., Degutis, J. K., Haenelt, D., Trampel, R., Weiskopf, N., & Lorenz, R. (2022). Towards a reproducible layer fMRI pipeline for high-level cognition. Poster presented at 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom. [PubMan] : Lorenz, R., Chaimow, D., Degutis, J. K., Assem, M., Duncan, J., & Weiskopf, N. (2022). Probing the laminar circuitry of the dlPFC during the attentional modulation of working memory. Poster presented at 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom. [PubMan] : Degutis, J. K., Chaimow, D., Haenelt, D., Assem, M., Duncan, J., Weiskopf, N., & Lorenz, R. (2022). Increased working memory load activates superficial layers of the dorsolateral prefrontal cortex. Poster presented at 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom. [PubMan] : Chaimow, D., Weiskopf, N., & Lorenz, R. (2022). Estimating voxel-wise laminar depth from surface meshes. Poster presented at 28th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Glasgow, United Kingdom. [PubMan] : Ouyang, G., Dien, J., & Lorenz, R. (2022). Handling EEG artifacts and searching individually optimal experimental parameter in real time: A system development and demonstration. Journal of Neural Engineering, 19(1): 016016. doi:10.1088/1741-2552/ac42b6. [PubMan] : Ouyang, G., Dien, J., & Lorenz, R. (2022). Handling EEG artifacts and searching individually optimal experimental parameter in real time: A system development and demonstration. Journal of Neural Engineering, 19(1): 016016. doi:10.1088/1741-2552/ac42b6. [PubMan] : Brammerloh, M., Mueller, K., Schmidt, J., Lorenz, R., Lipp, I., Chaimow, D., Eichner, C., Kirilina, E., & Scherf, N. (2021). Neuroimaging physics and signal processing: Basic MR acquisition & data analysis. IMPRS NeuroCom Lecture Series. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2021-10-04 - 2021-10-07. [PubMan] : Lorenz, R., Johal, M., Dick, F., Hampshire, A., Leech, R., & Geranmayeh, F. (2021). A Bayesian optimization approach for rapidly mapping residual network function in stroke. Brain, 144(7), 2120-2134. doi:10.1093/brain/awab109. [PubMan] : Dermody, N., Lorenz, R., & Woolgar, A. (2021). Spatial and feature-selective attention interact multiplicatively in multiple-demand networ. Poster presented at 27th Annual Meeting of the Organization for Human Brain Mapping (OHBM 2021). [PubMan]