Publications of Frank Scharnowski:

(h-index: 24; total number of citations > 3700)

For automated citation metrics please click here.




Kammer T., Scharnowski F., Herzog M.H. (2003): Combining backward masking and transcranial magnetic stimulation in human observers. Neuroscience Letters, 343, 171-174. [pdf]


Weiskopf N., Mathiak K., Bock S., Scharnowski F., Veit R., Göbel R., Birbaumer N. (2004): Principles and purposes of a brain-computer interface based on real-time functional magnetic resonance imaging. IEEE Transactions on Biomedical Engineering, 51, 966-970. [pdf]


Weiskopf N., Scharnowski F., Veit R., Göbel R., Birbaumer N., Mathiak K. (2004): Self-regulation of local brain activity using real-time functional magnetic resonance imaging. Journal of Physiology - Paris, 98(4-6), 357-373. [pdf]


Franz V.H., Scharnowski F., Gegenfurtner K.R. (2005): Illusion effects on grasping are temporally constant, not dynamic. Journal of Experimental Psychology: Human Perception and Performance, 31(6), 1359-1378. [pdf]


Herzog M.H., Scharnowski F., Hermens F. (2007): Long lasting effects of unmasking in a feature fusion paradigm. Psychological Research, 71(6), 653-658. [pdf


Scharnowski F., F. Hermens, Kammer T, Ögmen H., Herzog M.H. (2007): Feature fusion reveals slow and fast visual memories. Journal of Cognitive Neuroscience, 19(4), 1-10. [pdf]


Weiskopf N., Sitaram R., Josephs O., Veit R., Scharnowski F., Göbel R., Birbaumer N., Deichmann R., Mathiak K. (2007): Real-time functional magnetic resonance imaging: Methods and applications. Magnetic Resonance Imaging, 25(6), 989-1003. [pdf]


Scharnowski F., Hermens F., Herzog M.H. (2007): Bloch’s law and the dynamics of feature fusion. Vision Research, 57, 2444-2452. [pdf]


Hermens F., Scharnowski F., Herzog M.H. (2009): Spatial grouping determines temporal integration. Journal of Experimental Psychology: Human Perception and Performance, 35(3), 595–610. [pdf]


Scharnowski F., Rüter J., Jolij J., Hermens F., Kammer T., Herzog M.H. (2009): Long-lasting modulation of feature integration by transcranial magnetic stimulation. Journal of Vision, 9(6), 1‑10. [pdf]


Scharnowski F., Mathiak K., Weiskopf N. (2009): Echtzeit-fMRT. Klinische Neurophysiologie, 40, 214-221. [pdf]


Hermens F., Scharnowski F., Herzog M.H. (2010): Automatic grouping of regular structures. Journal of Vision, 10(8), 1-16. [pdf]


Scharnowski F., Hutton C., Josephs O., Weiskopf N., Rees G. (2012): Improving visual perception through neurofeedback. The Journal of Neuroscience, 32(49), 17830-17841. [pdf]

(An interesting article from Aaron Seitz which appeared in Current Biology covering this work can be found here.)


Scharnowski F., Rees G., Walsh V. (2013): Time and the brain: Neurorelativity. Trends in Cognitive Science, 17(2), 51-52. [pdf]

(An interesting article from 'Le Journal' covering this work can be found here [in French].)


Sulzer J.*, Haller S.*, Scharnowski F.*, Weiskopf N.*, Birbaumer N., Blefari M., Brühl A., Cohen L., deCharms R.C., Gassert R., Göbel R., Herwig U., LaConte S., Linden D., Luft A., Seifritz E., Sitaram R.* (2013): Real-time fmri neurofeedback: progress and challenges. NeuroImage, 76(1), 386-399. [* joint corresponding authorship].[pdf]

(This article is amongst the top 5 most downloaded articles in NeuroImage 2013.)


Koush Y., Elliott M.A., Scharnowski F., Mathiak K. (2013): Comparison of real-time water proton spectroscopy and echo-planar imaging sensitivity to the BOLD effect at 3T and 7T. PLOS One, 9(3) [pdf].


Grainger J.E., Scharnowski F., Schmidt T., Herzog M.H. (2013): Two primes priming: Does feature integration occur before response activation? Journal of Vision, 13(8):19, 1-10. [pdf]


Koush Y., Elliott M.A., Scharnowski F., Mathiak K. (2013): Real-time automated spectral assessment of the BOLD response for neurofeedback at 3 and 7T. Journal of Neuroscience Methods, 218(2), 148-160. [pdf]



Koush Y., Rosa M.J., Robineau F., Heinen K., Rieger S., Weiskopf N., Vuilleumier P., Van De Ville D., Scharnowski F. (2013): Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI. NeuroImage, 81(1), 422-430. [pdf]


Haller S., Joohti P., Haas T., Scharnowski F., Lovblad K.O., Scheffler K., Van De Ville D. (2013): Dynamic reconfiguration of functional brain networks through neurofeedback. NeuroImage, 81(1), 243-252. [pdf]


Scharnowski F., Rosa M.J., Golestani N., Hutton C., Josephs O., Weiskopf N., Rees G. (2014): Connectivity changes underlying neurofeedback training of visual cortex activity. PLOS One [pdf]. 


Robineau F., Mermoud C., Pichon S., Rieger S.W., Koush Y., van de Ville D., Vuilleumier P., Scharnowski F. (2014): Self-regulation of the inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training. NeuroImage, 100, 1-14 [pdf].


Scharnowski F., Veit R., Zopf R., Studer R., Bock S., Diedrichsen J., Göbel R., Mathiak K., Birbaumer N., Weiskopf N (2015): Manipulating motor performance and memory through real-time fMRI neurofeedback. Biological Psychology, 108, 85-97. [pdf].

24Scharnowski F., Weiskopf N. (2015): Cognitive enhancement through real-time fMRI neurofeedback. Current Opinion in Behavioral Sciences, 4, 122-127 [pdf].

Koush Y., Meskaldij D.E., Pichon S., Rey G., Rieger S.W., Linden D., Van De Ville D., Vuilleumier P., Scharnowski F. (2015): Learning control over emotion networks through connectivity-based neurofeedback. Cerebral Cortex, doi: 10.1093/cercor/bhv311 [pdf].


Herzog M.H., Kammer T., Scharnowski (2016): Time slices: what is the duration of a percept? PLoS Biology, 14(4), e1002433 [pdf].


Kopel R., Emmert K., Scharnowski F., Haller S., Van De Ville D. (2017): Distributed patterns of brain activity underlying real-time fMRI neurofeedback training. IEEE Transactions on Biomedical Engineering, 64(4), 1228-1237 [pdf]. 

28Sitaram R., Ros T., Stoeckel L., Haller S., Scharnowski F., Lewis-Peacock J., Weiskopf N., Blefari M.L., Rana M., Oblak E., Birbaumer N., Sulzer J. (2017): Closed-loop brain training: the science of neurofeedback. Nature Neuroscience Reviews, 18, 86-100 [pdf].

Robineau F., Meskaldji D.R., Koush Y., Rieger S.W., Mermoud C., Morgenthaler S., Van De Ville D., Vuilleumier P., Scharnowski F. (2017): Maintenance of voluntary self-regulation learned through real-time fMRI neurofeedback. Frontiers in Human Neuroscience, 11(131) [pdf]. 


Koush Y., Ashburner J., Prilepin E., Zeidman P., Bibikov S., Sladky R., Scharnowski F., Nikonorov A., Van De Ville D. (2017): Real-time fMRI data for testing OpenNFT functionality. Data in Brief, 14, 344-347 [pdf].


Koush Y., Ashburner J., Prilepin E., Zeidman P., Bibikov S., Sladky R., Scharnowski F., Nikonorov A., Van De Ville D. (2017): 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 [pdf].


Ekanayke J., Hutton C., Ridgeway G., Scharnowski F., Weiskopf N., Rees G. (2017): Real-time decoding of spatial attention in higher-order visual areas. NeuroImage, 169, 462-472 [pdf]. 


Kirschner M., Sladky R., Haugg A., Stämpfli P., Jehli E., Hodel M., Engeli E., Hösli S., Bamgartner M.R., Sulzer J., Huys Q., Seifritz E., Quednow B., Scharnowski F., Herdener M. (2018): Self-regulation of the Dopaminergic Reward Circuit in Cocaine Users with Mental Imagery and Neurofeedback. EBioMedicine, 37, 489-498.


Koush Y., Masala N., Scharnowski F., Van De Ville D. (2019): Data-driven tensor independent component analysis for model-based connectivity neurofeedback. NeuroImage, 184, 214-226.


Sorger B., Scharnowski F., Linden D.E., Hampson M., Young K. (2019): Control Freaks: Towards Optimal Selection of Control Conditions for Neurofeedback Studies. NeuroImage, 186, 256-265.


Robineau F., Saj A., Neveu R., Van De Ville D., Scharnowski F., Vuilleumier P. (2019): Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary results. Neuropsychological Rehabilitation, 29(3), 339-360 [pdf]. 


Doerig A., Scharnowski F., Herzog M. (2019): Building Perception Block by Block. Neuroscience of Consciousness, 5(1), niy012. 


Ekanayke J., Ridgeway G., Winston J.S., Feredoes E., Razi A., Koush Y., Scharnowski F., Weiskopf N., Rees G. (2019): Volitional modulation of higher-order visual cortex alters human perception. NeuroImage, 188, 291-301. 


Koush Y., Pichon S., Eickhoff S., Van De Ville D., Vuilleumier P., Scharnowski F. (2019): Brain networks for engaging oneself in positive-social emotion regulation. NeuroImage, 189, 106-115.


Kopel R., Sladky R., Laub P., Koush Y., Robineau F., Hutton C., Weiskopf N., Vuilleumier P., Van De Ville D., Scharnowski F. (2019): No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage, 191,421-429.  


Skouras S., Scharnowski F. (2019): The effects of psychiatric history and age on self-regulation of the default mode network. NeuroImage, 198, 150-159.  


Ros T., Enriquez-Geppert S., Zotev V., Young K.D., Wood G., Whitfield-Gabrieli S., Wan F., Vuilleumier P., Vialatte F., Van De Ville D., Todder D., Surmeli T., Sulzer J.S., Strehl U., Sterman M.B., Steiner N.J., Sorger B., Soekadar S.R., Sitaram R., Sherlin L.H., Schönenberg M., Scharnowski F., Schabus M., Rubia K., Rosa A., Reiner M., Pineda J.A., Paret C., Ossadtchi A., Nicholson A.A., Nan W., Minguez J., Micoulaud-Franchi J-A., Mehler D., Lührs M., Lubar J., Lotte F., Linden D.E.J., Lewis-Peacock J.A., Lebedev M.A., Lanius R.A., Kübler A., Kranczioch C., Koush Y., Konicar L., Kohl S.H., Kober S.E., Klados M.A., Jeunet C., Janssen T.W.P., Huster R.J., Hoedlmoser K., Hirshberg L.M., Heunis S., Hendler T., Hampson M., Guggisberg A.G., Guggenberger R., Gruzelier J.H., Göbel R.W., Gninenko N., Gharabaghi A., Frewen P., Fovet T., Fernández T., Escolano C., Ehlis A-C., Drechsler R., deCharms R.C., Debener S., De Ridder D., Davelaar E.J., Congedo M., Cavazza M., Breteler M.H.M., Brandeis D., Bodurka J., Birbaumer N., Bazanova O.M., Barth B., Bamidis P.D., Auer T., Arns M., Thibault  R.T. (2019): Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain, awaa009.


Pamplona G., Scharnowski F., Salmon C. (2020): Personode: a new MatLab toolbox for ICA components classification and individualized ROI definition. Neuroinformatics, 2020/1/3, 1-11. 


Manoliu A., Haugg A., Sladky R., Hulka L., Kirschner M., Brühl A., Seifritz E., Quednow B.B., Herdener M., Scharnowski F. (accepted): SmoCuDa: A validated smoking cue database to reliably induce craving in tobacco use disorder. European Addiction Research.


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


Pamplona G., Heldner J., Langner R., Koush Y., Michels L., Ionta S., Scharnowski F.*, Salmon C.* (accepted): Network-based fMRI-neurofeedback training of sustained attention. NeuroImage. *contributed equally 


Scharnowski F, Nicholson A.A., Pichon S., Rosa M.J., Rey G., Eickhoff S.B., Van De Ville D., Vuilleumier P., Koush Y. (accepted): The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal–amygdala neural circuitry during positive‐social emotion regulation. Human Brain Mapping . 


Manoliu A., Sladky R., Scherpiet S., Jäncke L., Kirschner M., Haugg A., Bolsinger J., Krähenmann R., Staempfli P., Scharnowski F., Herwig U., Seifritz E., Brühl A. (accepted): Dopaminergic neuromodulation has no detectable effect on visual-cue induced hemodynamic response function in the visual cortex: a double-blind, placebo-controlled fMRI study. 





Investigation of the visuo-spatial working memory performance with a combined sequential tracking and spatial span task. Bachelor thesis in Cognitive Science, University of Osnabrück (Germany).


Self regulation of local brain activity and its behavioural consequences. Master thesis in Neural and Behavioural Sciences, International Max Planck Research School, Tübingen (Germany).




The temporal dynamics of visual feature integration. Doctoral Thesis in Life Sciences, Swiss Institute of Technology, Lausanne (Switzerland).






>25 international conference talks  



>40 invited talks about my work at hospitals, universities, and research institutes in Europe, Asia, and North America



>100 conferences abstracts and proceedings