Publications of Nikolaus Weiskopf

Teaching (5)

2019
Teaching
Weiskopf, N., & Trampel, R. Hands-on anatomical and functional fMRI. Courseware_lecture presented at the 9th IMPRS NeuroCom Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/21.11116/0000-0004-C248-0
2016
Teaching
Weiskopf, N., & Trampel, R. Realtime fMRI. Courseware_lecture presented at the Workshop at 6th IMPRS NeuroCom Summer School, Leipzig, Germany. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-24A2-F
Teaching
Möller, H. E., & Weiskopf, N. ESMRMB lectures on MR: "Quantitative MRI for characterising brain tissue microstructure". Courseware_lecture presented at the Lecture, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. Retrieved from http://hdl.handle.net/11858/00-001M-0000-002B-54C7-9

Thesis - PhD (1)

2021
Thesis - PhD
Gast, R. (2021). Phase transitions between asynchronous and synchronous neural dynamics: Theoretical insight into the mechanisms behind neural oscillations in Parkinson's disease (PhD Thesis). University of Leipzig. Retrieved from http://hdl.handle.net/21.11116/0000-000B-076A-7

Contribution to an Encyclopedia (1)

2017
Contribution to an Encyclopedia
Kazan, S. M., & Weiskopf, N. (2017). fMRI methods. In J. C. Lindon, G. E. Tranter, & D. W. Koppenaal (Eds.), Encyclopedia of Spectroscopy and Spectrometry (3rd ed., pp. 670–677). Amsterdam: Elsevier.

Preprint (12)

2025
Preprint
Chaimow, D., Degutis, J. K., Haenelt, D., Trampel, R., Weiskopf, N., & Lorenz, R. (2025, February 4). Challenges in replicating layer-specificity of working memory processes in human dlPFC. BioRxiv. doi:10.1101/2025.01.31.635930
Preprint
Alonso-Ortiz, E., Papp, D., Barry, R. L., Poëti, K., Seifert, A. C., Gilbert, K. M., … Cohen-Adad, J. (2025, January 17). Multi-center benchmarking of cervical spinal cord RF coils for 7 T MRI: A traveling spines study. BioRxiv. doi:10.1101/2025.01.13.632825
2024
Preprint
Lipp, I., Kirilina, E., Jäger, C., Morawski, M., Jauch, A., Pine, K., … Weiskopf, N. (2024, December 8). Lifespan trajectory of chimpanzee brains characterized by magnetic resonance imaging histology. BioRxiv. doi:10.1101/2024.12.06.627145
Preprint
Helbling, S., Meyer, S. S., & Weiskopf, N. (2024, July 2). Myelin-informed forward models for M/EEG source reconstruction. BioRxiv. doi:10.1101/2024.06.30.601378
Preprint
Dresbach, S., Gulban, O. F., Steinbach, T., Eck, J., Kashyap, S., Kaas, A., … Huber, R. (2024, June 30). Laminar CBV and BOLD response-characteristics over time and space in the human primary somatosensory cortex at 7T. BioRxiv. doi:10.1101/2024.06.26.600746
Preprint
Dabbagh, A., Horn, U., Kaptan, M., Mildner, T., Müller, R., Lepsien, J., … Eippert, F. (2024, June 25). Reliability of task-based fMRI in the dorsal horn of the human spinal cord. BioRxiv. doi:10.1101/2023.12.22.572825
Preprint
Attar, F. M., Kirilina, E., Edwards, L., Haenelt, D., Pine, K., Trampel, R., … Weiskopf, N. (2024, May 1). Connectivity at fine scale: Mapping structural connective fields by tractography of short association fibres in vivo. BioRxiv. doi:10.1101/2024.04.30.591798
Preprint
Dresbach, S., Huber, R., Gulban, O. F., Pizzuti, A., Trampel, R., Ivanov, D., … Goebel, R. (2024, January 26). Characterisation of laminar and vascular spatiotemporal dynamics of CBV and BOLD signals using VASO and ME-GRE at 7T in humans. BioRxiv. doi:10.1101/2024.01.25.576050
2023
Preprint
Grasse, T., Jäger, C., Kirilina, E., Jaffe, J. E., Carlier, P., Pizarro, A., … Morawski, M. (2023, November 23). Neuroinfectiology of an atypical anthrax-causing pathogen in wild chimpanzees. BioRxiv. doi:10.1101/2023.11.21.568053
Preprint
Haenelt, D., Chaimow, D., Nasr, S., Weiskopf, N., & Trampel, R. (2023, September 29). Decoding of columnar-level organization across cortical depth using BOLD- and CBV-fMRI at 7 T. BioRxiv. doi:10.1101/2023.09.28.560016
2021
Preprint
Helms, G., Weiskopf, N., & Lutti, A. (2021, April 30). Correction of FLASH-based MT saturation in human brain for residual bias of B1-inhomogeneity at 3T. ArXiv. doi:10.48550/arXiv.2104.14878
2018
Preprint
Thierbach, K., Bazin, P.-L., De Back , W., Gavriilidis, F., Kirilina, E., Jäger, C., … Scherf, N. (2018, April 9). Combining deep learning and active contours opens the way to robust, automated analysis of brain cytoarchitectonics. BioRxiv. doi:10.1101/297689
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