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Nikolaus Weiskopf

Wellcome Centre for Human Neuroimaging · GB
Area of research
Radiology, Nuclear Medicine and Imaging · Cognitive Neuroscience
Research interest
Research interests include Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Functional Brain Connectivity Studies, and Neural dynamics and brain function.
h-index
88
citations
27,607
works
529
NIH funding
primary concept
email

Recent publications

Laminar dissociation of feedforward and feedback in high-level ventral visual cortex during imagery and perception
iScience 2024cited by 16position: middledoi
Dynamic layer-specific processing in the prefrontal cortex during working memory
Communications Biology 2024cited by 15position: middledoi
Germany’s journey toward 14 Tesla human magnetic resonance
Magnetic Resonance Materials in Physics Biology and Medicine 2023cited by 23position: middledoi
Laminar dissociation of feedforward and feedback signals in high-level ventral visual cortex during imagery and perception
2023cited by 5position: middledoi
A unified 3D map of microscopic architecture and MRI of the human brain
Science Advances 2022cited by 83position: middledoi
Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact
NeuroImage 2022cited by 50position: middledoi
Generic acquisition protocol for quantitative MRI of the spinal cord
Nature Protocols 2021cited by 148position: middledoi
Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
Scientific Data 2021cited by 77position: middledoi
Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis
NeuroImage 2021cited by 65position: middledoi
The variability of MR axon radii estimates in the human white matter
Human Brain Mapping 2021cited by 55position: middledoi
The traveling heads 2.0: Multicenter reproducibility of quantitative imaging methods at 7 Tesla
NeuroImage 2021cited by 48position: middledoi
Perceived and mentally rotated contents are differentially represented in cortical depth of V1
Communications Biology 2021cited by 45position: middledoi
Can we predict real‐time <scp>fMRI</scp> neurofeedback learning success from pretraining brain activity?
Human Brain Mapping 2020cited by 50position: middledoi
7 Tesla MRI Followed by Histological 3D Reconstructions in Whole-Brain Specimens
KNAW research portal (Royal Academy of Art and Sciences (KNAW)) 2020cited by 41position: middledoi
Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases
Brain 2019cited by 372position: middledoi
hMRI – A toolbox for quantitative MRI in neuroscience and clinical research
NeuroImage 2019cited by 276position: middledoi
Example dataset for the hMRI toolbox
Data in Brief 2019cited by 37position: lastdoi
A biophysical model of iron-induced relaxation in human substantia nigra for early stage parkinson diagnostic
MPG.PuRe (Max Planck Society) 2019cited by 0position: middle
Progressive neurodegeneration following spinal cord injury
Neurology 2018cited by 124position: middledoi
Iron-induced relaxation mechanisms in the human substantia nigra: Towards quantifying iron load in dopaminergic neurons
MPG.PuRe (Max Planck Society) 2018cited by 1position: middle
Closed-loop brain training: the science of neurofeedback
Nature reviews. Neuroscience 2016cited by 1,316position: middledoi
Connectivity Changes Underlying Neurofeedback Training of Visual Cortex Activity
PLoS ONE 2014cited by 32position: middledoi
Real-time fMRI neurofeedback: Progress and challenges
NeuroImage 2013cited by 472position: middledoi
MRI investigation of the sensorimotor cortex and the corticospinal tract after acute spinal cord injury: a prospective longitudinal study
The Lancet Neurology 2013cited by 274position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

· 5 papers (2019–2024)John Ashburner · London School of Hygiene & Tropical Medicine4 papers (2013–2019)Kerrin Pine · University of Aberdeen4 papers (2019–2022)Evgeniya Kirilina · Freie Universität Berlin4 papers (2018–2022)Gabriel Ziegler · London School of Hygiene & Tropical Medicine3 papers (2018–2019)Denis Chaimow · University of Minnesota, Twin Cities3 papers (2023–2024) · 3 papers (2021–2023) · 3 papers (2020–2023)Frank Scharnowski · University of Vienna3 papers (2013–2016) · 3 papers (2019–2019)Tony Carricarte · Humboldt-Universität zu Berlin2 papers (2023–2024) · 2 papers (2020–2022) · 2 papers (2020–2022) · 2 papers (2021–2024)Mark E. Ladd · German Cancer Research Center2 papers (2021–2023)Patrick Freund · London School of Hygiene & Tropical Medicine2 papers (2013–2018)Markus Morawski · Max Planck Institute for Human Cognitive and Brain Sciences2 papers (2018–2019)Antoine Lutti · University of Lausanne2 papers (2019–2019) · 2 papers (2020–2022)Niels Birbaumer · University of Tübingen2 papers (2013–2016)