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Frank Scharnowski
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2020 – today
- 2021
- [j18]Amelie Haugg
, Fabian M. Renz, Andrew A. Nicholson, Cindy Lor, Sebastian J. Götzendorfer, Ronald Sladky
Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. NeuroImage 237: 118207 (2021) - 2020
- [j17]Gustavo S. P. Pamplona
Network-based fMRI-neurofeedback training of sustained attention. NeuroImage 221: 117194 (2020) - [j16]Gustavo S. P. Pamplona
Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition. Neuroinformatics 18(3): 339-349 (2020)
2010 – 2019
- 2019
- [j15]Yury Koush
Data-driven tensor independent component analysis for model-based connectivity neurofeedback. NeuroImage 184: 214-226 (2019) - [j14]Bettina Sorger, Frank Scharnowski
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies. NeuroImage 186: 256-265 (2019) - [j13]Jinendra Ekanayake
Volitional modulation of higher-order visual cortex alters human perception. NeuroImage 188: 291-301 (2019) - [j12]Yury Koush
Brain networks for engaging oneself in positive-social emotion regulation. NeuroImage 189: 106-115 (2019) - [j11]Rotem Kopel, Ronald Sladky, P. Laub, Yury Koush
No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage 191: 421-429 (2019) - [j10]Stavros Skouras
The effects of psychiatric history and age on self-regulation of the default mode network. NeuroImage 198: 150-159 (2019) - 2018
- [j9]Jinendra Ekanayake
Real-time decoding of covert attention in higher-order visual areas. NeuroImage 169: 462-472 (2018) - 2017
- [j8]Yury Koush
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. NeuroImage 156: 489-503 (2017) - [j7]Rotem Kopel, Kirsten Emmert, Frank Scharnowski
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training. IEEE Trans. Biomed. Eng. 64(6): 1228-1237 (2017) - 2014
- [j6]Fabien Robineau, Sebastian W. Rieger
Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training. NeuroImage 100: 1-14 (2014) - 2013
- [j5]James S. Sulzer, Sven Haller
Real-time fMRI neurofeedback: Progress and challenges. NeuroImage 76: 386-399 (2013) - [j4]Sven Haller
Dynamic reconfiguration of human brain functional networks through neurofeedback. NeuroImage 81: 243-252 (2013) - [j3]Yury Koush
Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI. NeuroImage 81: 422-430 (2013)
2000 – 2009
- 2007
- [j2]Frank Scharnowski
Feature Fusion Reveals Slow and Fast Visual Memories. J. Cogn. Neurosci. 19(4): 632-641 (2007) - 2004
- [j1]Nikolaus Weiskopf, Klaus Mathiak, Simon W. Bock, Frank Scharnowski
Principles of a brain-computer interface (BCI) based on real-time functional magnetic resonance imaging (fMRI). IEEE Trans. Biomed. Eng. 51(6): 966-970 (2004)
Coauthor Index
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