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Frank Scharnowski
Frank Scharnowski
University of Vienna
Bestätigte E-Mail-Adresse bei univie.ac.at - Startseite
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Zitiert von
Zitiert von
Jahr
Closed-loop brain training: the science of neurofeedback
R Sitaram, T Ros, L Stoeckel, S Haller, F Scharnowski, J Lewis-Peacock, ...
Nature Reviews Neuroscience 18 (2), 86-100, 2017
8332017
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI)
N Weiskopf, K Mathiak, SW Bock, F Scharnowski, R Veit, W Grodd, ...
IEEE transactions on biomedical engineering 51 (6), 966-970, 2004
5462004
Real-time fMRI neurofeedback: progress and challenges
J Sulzer, S Haller, F Scharnowski, N Weiskopf, N Birbaumer, ML Blefari, ...
Neuroimage 76, 386-399, 2013
4832013
Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI)
N Weiskopf, F Scharnowski, R Veit, R Goebel, N Birbaumer, K Mathiak
Journal of Physiology-Paris 98 (4-6), 357-373, 2004
3802004
Real-time functional magnetic resonance imaging: methods and applications
N Weiskopf, R Sitaram, O Josephs, R Veit, F Scharnowski, R Goebel, ...
Magnetic resonance imaging 25 (6), 989-1003, 2007
2942007
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
T Ros, S Enriquez-Geppert, V Zotev, KD Young, G Wood, ...
Brain 143 (6), 1674-1685, 2020
1772020
Time slices: what is the duration of a percept?
MH Herzog, T Kammer, F Scharnowski
PLoS biology 14 (4), e1002433, 2016
1542016
Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI
Y Koush, MJ Rosa, F Robineau, K Heinen, SW Rieger, N Weiskopf, ...
Neuroimage 81, 422-430, 2013
1542013
Learning control over emotion networks through connectivity-based neurofeedback
Y Koush, DE Meskaldji, S Pichon, G Rey, SW Rieger, DEJ Linden, ...
Cerebral cortex 27 (2), 1193-1202, 2017
1432017
Improving visual perception through neurofeedback
F Scharnowski, C Hutton, O Josephs, N Weiskopf, G Rees
Journal of Neuroscience 32 (49), 17830-17841, 2012
1432012
Dynamic reconfiguration of human brain functional networks through neurofeedback
S Haller, R Kopel, P Jhooti, T Haas, F Scharnowski, KO Lovblad, ...
Neuroimage 81, 243-252, 2013
992013
Manipulating motor performance and memory through real-time fMRI neurofeedback
F Scharnowski, R Veit, R Zopf, P Studer, S Bock, J Diedrichsen, R Goebel, ...
Biological psychology 108, 85-97, 2015
972015
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies
B Sorger, F Scharnowski, DEJ Linden, M Hampson, KD Young
Neuroimage 186, 256-265, 2019
932019
Illusion effects on grasping are temporally constant not dynamic.
VH Franz, F Scharnowski, KR Gegenfurtner
Journal of Experimental Psychology: Human Perception and Performance 31 (6 …, 2005
682005
Long-lasting modulation of feature integration by transcranial magnetic stimulation
F Scharnowski, J Rüter, J Jolij, F Hermens, T Kammer, MH Herzog
Journal of Vision 9 (6), 1-1, 2009
562009
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis
Y Koush, J Ashburner, E Prilepin, R Sladky, P Zeidman, S Bibikov, ...
NeuroImage 156, 489-503, 2017
552017
Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training
F Robineau, SW Rieger, C Mermoud, S Pichon, Y Koush, D Van De Ville, ...
NeuroImage 100, 1-14, 2014
532014
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study
SJ Eder, D Steyrl, MM Stefanczyk, M Pieniak, J Martínez Molina, O Pešout, ...
Plos one 16 (3), e0247997, 2021
522021
Cognitive enhancement through real-time fMRI neurofeedback
F Scharnowski, N Weiskopf
Current Opinion in Behavioral Sciences 4, 122-127, 2015
502015
Bloch’s law and the dynamics of feature fusion
F Scharnowski, F Hermens, MH Herzog
Vision research 47 (18), 2444-2452, 2007
352007
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