Search results

Brammerloh, M.; Morawski, M.; Friedrich, I.; Reinert, T.; Lange, C.; Pelicon, P.; Vavpetič, P.; Jankuhn, S.; Jäger, C.; Alkemade, A. et al.; Balesar, R.; Pine, K.; Gavriilidis, F.; Trampel, R.; Reimer, E.; Arendt, T.; Weiskopf, N.; Kirilina, E.: Measuring the iron content of dopaminergic neurons in substantia nigra with MRI relaxometry. NeuroImage 239, 118255 (2021)

Haugg, A.; Renz, F. M.; Nicholson, A. A.; Lor, C.; Götzendorfer, S. J.; Sladky, R.; Skouras, S.; McDonald, A.; Craddock, C.; Hellrung, L. et al.; Kirschner, M.; Herdener, M.; Koush, Y.; Papoutsi, M.; Keynan, J.; Hendler, T.; Cohen Kadosh, K.; Zich, C.; Kohl, S. H.; Hallschmid, M.; MacInnes, J.; Adcock, R. A.; Dickerson, K. C.; Chen, N.-K.; Young, K.; Bodurka, J.; Marxen, M.; Yao, S.; Becker, B.; Auer, T.; Schweizer, R.; Pamplona, G.; Lanius, R. A.; Emmert, K.; Haller, S.; Van De Ville, D.; Kim, D.-Y.; Lee, J.-H.; Marins, T.; Megumi, F.; Sorger, B.; Kamp, T.; Liew, S.-L.; Veit, R.; Spetter, M.; Weiskopf, N.; Scharnowski, F.; Steyrl, D.: Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis. NeuroImage 237, 118207 (2021)

Weiskopf, N.; Edwards, L.; Helms, G.; Mohammadi, S.; Kirilina, E.: Quantitative magnetic resonance imaging of brain anatomy and in vivo histology. Nature Reviews Physics (2021)

Kyathanahally, S. P.; Azzarito, M.; Rosner, J.; Calhoun, V. D.; Blaiotta, C.; Ashburner, J.; Weiskopf, N.; Wiech, K.; Friston, K.; Ziegler, G. et al.; Freund, P.: Microstructural plasticity in nociceptive pathways after spinal cord injury. Journal of Neurology, Neurosurgery & Psychiatry (2021)

Voelker, M. N.; Kraff, O.; Goerke, S.; Laun, F. B.; Hanspach, J.; Pine, K.; Ehses, P.; Zaiss, M.; Liebert, A.; Straub, S. et al.; Eckstein, K.; Robinson, S.; Nagel, A. N.; Stefanescu, M. R.; Wollrab, A.; Klix, S.; Felder, J.; Hock, M.; Bosch, D.; Weiskopf, N.; Speck, O.; Ladd, M. E.; Quick, H. H.: The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla. NeuroImage 232, 117910 (2021)

Friedrich , I.; Reimann, K.; Jankuhn, S.; Kirilina, E.; Stieler, J.; Sonntag, M.; Meijer, J.; Weiskopf, N.; Reinert, T.; Arendt, T. et al.; Morawski, M.: Cell specific quantitative iron mapping on brain slices by immuno-μPIXE in healthy elderly and Parkinson’s disease. Acta Neuropathologica 9 (1), 47 (2021)

Veraart, J.; Raven, E. P.; Edwards, L.; Weiskopf, N.; Jones, D. K.: The variability of MR axon radii estimates in the human white matter. Human Brain Mapping (2021)

Veraart, J.; Raven, E. P.; Edwards, L.; Weiskopf, N.; Jones, D. K.: The variability of MR axon radii estimates in the human white matter. Human Brain Mapping (2021)

Weiskopf, N.; Edwards, L.; Helms, G.; Mohammadi, S.; Kirilina, E.: Quantitative magnetic resonance imaging of brain anatomy and in-vivo histology. Nature Reviews Physics (accepted)

Kozlov, M.; Horner, M.; Kainz, W.; Weiskopf, N.; Möller, H. E.: Modeling electromagnetic exposure in humans inside a whole-body birdcage coil excited by a two-channel parallel transmitter operated at 123 MHz. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 4 (4), pp. 247 - 253 (2020)

Kozlov, M.; Horner, M.; Kainz, W.; Weiskopf, N.; Möller, H. E.: Modeling radio-frequency energy-induced heating due to the presence of transcranial electric stimulation setup at 3T. Magnetic Resonance Materials in Physics, Biology and Medicine 33, pp. 793 - 807 (2020)

Leutritz, T.; Seif, M.; Helms, G.; Samson, R.; Curt, A.; Freund, P.; Weiskopf, N.: Multiparameter mapping of relaxation (R1 , R2 *), proton density and magnetization transfer saturation at 3 T: A multicenter dual‐vendor reproducibility and repeatability study. Human Brain Mapping 41 (15), pp. 4232 - 4247 (2020)

Kirilina, E.; Helbling, S.; Morawski, M.; Pine, K.; Reimann, K.; Jankuhn, S.; Dinse, J.; Deistung, A.; Reichenbach, J. R.; Trampel, R. et al.; Geyer, S.; Müller, L.; Jakubowski, N.; Arendt, T.; Bazin, P.-L.; Weiskopf, N.: Superficial white matter imaging: Contrast mechanisms and whole-brain in vivo mapping. Science Advances 6 (41), eaaz9281 (2020)

Alkemade, A.; Pine, K.; Kirilina, E.; Keuken, M. C.; Mulder, M. J.; Balesar, R.; Groot, J. M.; Bleys, R. L. A. W.; Trampel, R.; Weiskopf, N. et al.; Herrler, A.; Möller, H. E.; Bazin, P.-L.; Forstmann, B. U.: 7 Tesla MRI followed by histological 3D reconstructions in whole-brain specimens. Frontiers in Neuroanatomy 14, 536838 (2020)

Miletic, S.; Bazin, P.-L.; Weiskopf, N.; van der Zwaag, W.; Forstmann, B. U.; Trampel, R.: fMRI protocol optimization for simultaneously studying small subcortical and cortical areas at 7 ​T. NeuroImage 219, 116992 (2020)

Huber, E.; Patel, R.; Hupp, M.; Weiskopf, N.; Chakravarty, M. M.; Freund, P.: Extrapyramidal plasticity predicts recovery after spinal cord injury. Scientific Reports 10, 14102 (2020)

Attar, F. M.; Kirilina, E.; Haenelt, D.; Pine, K.; Trampel, R.; Edwards, L.; Weiskopf, N.: Mapping short association fibers in the early cortical visual processing stream using in vivo diffusion tractography. Cerebral Cortex 30 (8), pp. 4496 - 4514 (2020)

Haugg, A.; Sladky, R.; Skouras, S.; McDonald, A.; Craddock, C.; Kirschner, M.; Herdener, M.; Koush, Y.; Papoutsi, M.; Keynan, J. N. et al.; Hendler, T.; Cohen Kadosh, K.; Zich, C.; MacInnes, J.; Adcock, R. A.; Dickerson, K.; Chen, N.; Young, K.; Bodurka, J.; Yao, S.; Becker, B.; Auer, T.; Schweizer, R.; Pamplona, G.; Emmert, K.; Haller, S.; Van De Ville, D.; Blefari, M.; Kim, D.; Lee, J.; Marins, T.; Fukuda, M.; Sorger, B.; Kamp, T.; Liew, S.; Veit, R.; Spetter, M.; Weiskopf, N.; Scharnowski, F.: Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity? Human Brain Mapping (2020)

Papoutsi, M.; Magerkurth, J.; Josephs, O.; Pépés, S. E.; Ibitoye, T.; Reilmann, R.; Hunt, N.; Payne, E.; Weiskopf, N.; Langbehn, D. et al.; Rees, G.; Tabrizi, S. J.: Activity or connectivity? A randomized controlled feasibility study evaluating neurofeedback training in Huntington's disease. Brain Communications 2 (1), fcaa049 (2020)

Gast, R.; Rose, D.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: PyRates - A Python framework for rate-based neural simulations. PLOS One 14 (12), e0225900 (2019)