Publications of Nikolaus Weiskopf

Haugg, A., Sladky, R., Skouras, S., McDonald, A., Craddock, C., Kirschner, M., … Scharnowski, F. (2020). Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity? Human Brain Mapping, 41, 3839–3854.

Miletic, S., Bazin, P.-L., Weiskopf, N., van der Zwaag, W., Forstmann, B. U., & Trampel, R. (2020). fMRI protocol optimization for simultaneously studying small subcortical and cortical areas at 7 ​T. NeuroImage, 219. doi:10.1016/j.neuroimage.2020.116992

Huber, E., Patel, R., Hupp, M., Weiskopf, N., Chakravarty, M. M., & Freund, P. (2020). Extrapyramidal plasticity predicts recovery after spinal cord injury. Scientific Reports, 10. doi:10.1038/s41598-020-70805-5

Attar, F. M., Kirilina, E., Haenelt, D., Pine, K., Trampel, R., Edwards, L., & Weiskopf, N. (2020). Mapping short association fibers in the early cortical visual processing stream using in vivo diffusion tractography. Cerebral Cortex, 30, 4496–4514.

Lee, Y., Kettinger, A. O., Wilm, B. J., Deichmann, R., Weiskopf, N., Lambert, C., … Nagy, Z. (2020). A comprehensive approach for correcting voxel‐wise b‐value errors in diffusion MRI. Magnetic Resonance in Medicine, 83, 2173–2184.

Papoutsi, M., Magerkurth, J., Josephs, O., Pépés, S. E., Ibitoye, T., Reilmann, R., … Tabrizi, S. J. (2020). Activity or connectivity? A randomized controlled feasibility study evaluating neurofeedback training in Huntington's disease. Brain Communications, 2. doi:10.1093/braincomms/fcaa049

Gast, R., Rose, D., Möller, H. E., Weiskopf, N., & Knösche, T. R. (2019). PyRates - A Python framework for rate-based neural simulations. PLOS One, 14. doi:10.1371/journal.pone.0225900

David, G., Mohammadi, S., Martin, A. R., Cohen-Adad, J., Weiskopf, N., Thompson, A., & Freund, P. (2019). Traumatic and nontraumatic spinal cord injury: Pathological insights from neuroimaging. Nature Reviews Neurology, 15, 718–731.

Freund, P., Seif, M., Weiskopf, N., Friston, K., Fehlings, M. G., Thompson, A. J., & Curt, A. (2019). MRI in traumatic spinal cord injury: From clinical assessment to neuroimaging biomarkers. The Lancet Neurology, 18, 1123–1135.

Papazoglou, S., Streubel, T., Ashtarayeh, M., Pine, K., Edwards, L., Brammerloh, M., … Mohammadi, S. (2019). Biophysically motivated efficient estimation of the spatially isotropic R∗2 component from a single gradient-recalled echo measurement. Magnetic Resonance in Medicine, 82, 1804–1811.

Natu, V. S., Gomez, J., Barnett, M., Jeska, B., Kirilina, E., Jäger, C., … Grill-Spector, K. (2019). Apparent thinning of human visual cortex during childhood is associated with myelination. Proceedings of the National Academy of Sciences of the United States of America, 116, 20750–20759.

Betts, J., Kirilina, E., Otaduy, C. G., Ivanov, D., Acosta-Cabronero, J., Callaghan, M. F., … Hämmerer, D. (2019). Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases. Brain, 142, 2558–2571.

Trampel, R., Bazin, P.-L., Pine, K., & Weiskopf, N. (2019). In-vivo magnetic resonance imaging (MRI) of laminae in the human cortex. NeuroImage, 197, 707–715.

Callaghan, M. F., Lutti, A., Ashburner, J., Balteau, E., Corbin, N., Draganski, B., … Weiskopf, N. (2019). Example dataset for the hMRI toolbox. Data in Brief, 25. doi:10.1016/j.dib.2019.104132

Yamato, A. K., Magerkurth, J., Mancini, L., White, M. J., Miserocchi, A., McEvoy, A. W., … Yousry, T. A. (2019). Acquisition of sensorimotor fMRI under general anaesthesia: Assessment of feasibility, the BOLD response and clinical utility. NeuroImage: Clinical, 23. doi:10.1016/j.nicl.2019.101923

Karolis, V. R., Callaghan, M. F., Tseng, C.-E. J., Hope, T., Weiskopf, N., Rees, G., & Cappelletti, M. (2019). Spatial gradients of healthy aging: A study of myelin-sensitive maps. Neurobiology of Aging, 79, 83–92.

Tabelow, K., Balteau, E., Ashburner, J., Callaghan, M. F., Draganski, B., Helms, G., … Mohammadi, S. (2019). hMRI: A toolbox for quantitative MRI in neuroscience and clinical research. NeuroImage, 194, 191–210.

Kopel, R., Sladky, R., Laub, P., Koush, Y., Robineau, F., Hutton, C., … Scharnowski, F. (2019). No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage, 191, 421–429.

Sitaram, R., Ros, T., Stoeckel, L., Haller, S., Scharnowski, F., Lewis-Peacock, J., … Sulzer, J. (2019). Author Correction: Closed-loop brain training: The science of neurofeedback. Nature Reviews Neuroscience, 20, 314–314.

Volz, S., Callaghan, M. F., Josephs, O., & Weiskopf, N. (2019). Maximising BOLD sensitivity through automated EPI protocol optimisation. NeuroImage, 189, 159–170.