Nikolaus Weiskopf

Affiliations: 
University College London, London, United Kingdom 
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"Nikolaus Weiskopf"
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Publications

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McColgan P, Helbling S, Vaculčiaková L, et al. (2021) Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics. Human Brain Mapping
Haugg A, Renz FM, Nicholson AA, et al. (2021) Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Neuroimage. 237: 118207
Papoutsi M, Magerkurth J, Josephs O, et al. (2020) Activity or connectivity? A randomized controlled feasibility study evaluating neurofeedback training in Huntington's disease. Brain Communications. 2: fcaa049
Haugg A, Sladky R, Skouras S, et al. (2020) Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? Human Brain Mapping
Miletić S, Bazin PL, Weiskopf N, et al. (2020) fMRI protocol optimization for simultaneously studying small subcortical and cortical areas at 7 ​T. Neuroimage. 219: 116992
Movahedian Attar F, Kirilina E, Haenelt D, et al. (2020) Mapping Short Association Fibers in the Early Cortical Visual Processing Stream Using In Vivo Diffusion Tractography. Cerebral Cortex (New York, N.Y. : 1991)
Gast R, Rose D, Salomon C, et al. (2019) PyRates-A Python framework for rate-based neural simulations. Plos One. 14: e0225900
Natu VS, Gomez J, Barnett M, et al. (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
Yamamoto AK, Magerkurth J, Mancini L, et al. (2019) Acquisition of sensorimotor fMRI under general anaesthesia: Assessment of feasibility, the BOLD response and clinical utility. Neuroimage. Clinical. 23: 101923
Callaghan MF, Lutti A, Ashburner J, et al. (2019) Example dataset for the hMRI toolbox. Data in Brief. 25: 104132
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