Publications of Frank Scharnowski:

(h-index: 24; total number of citations > 4250)

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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]


Scharnowski F., Hermens F., Herzog M.H. (2007): Bloch’s law and the dynamics of feature fusion. Vision Research, 57, 2444-2452. [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., Mathiak K., Weiskopf N. (2009): Echtzeit-fMRT. Klinische Neurophysiologie, 40, 214-221. [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]


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]


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.)


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]


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]


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]


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.)


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].)


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].


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].


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]. 


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


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].


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


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]. 


Sitaram 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].


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].


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.


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]. 


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.


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


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.


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. 


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.


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.


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


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]. 


Pamplona G., Heldner J., Langner R., Koush Y., Michels L., Ionta S., Scharnowski F.*, Salmon C.* (2020): Network-based fMRI-neurofeedback training of sustained attention. NeuroImage, 2020/1/3, 1-11. *contributed equally


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. 


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.


Manoliu A., Haugg A., Sladky R., Hulka L., Kirschner M., Brühl A., Seifritz E., Quednow B.B., Herdener M., Scharnowski F. (2020): SmoCuDa: A validated smoking cue database to reliably induce craving in tobacco use disorder. European Addiction Research, 27(2), 107-114.


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. (2020): Can we predict real-time fMRI neurofeedback learning success from pre-training brain activity? Human Brain Mapping, 41(14), 3839-3854.


Scharnowski F, Nicholson A.A., Pichon S., Rosa M.J., Rey G., Eickhoff S.B., Van De Ville D., Vuilleumier P., Koush Y. (2020): The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal–amygdala neural circuitry during positive‐social emotion regulation. Human Brain Mapping, 41(11), 3100-3118. 


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. (2020): Dopaminergic neuromodulation has no detectable effect on visual-cue induced hemodynamic response function in the visual cortex: a double-blind, placebo-controlled fMRI study. Journal of Psychopharmacology, 35(1), 100-102.


Eder S.J., Nicholson A.A., Stefanczyk M.M., Pieniak M., Martínez Molina J., Pešout O., Binter J., Smela P., Scharnowski F., Steyrl D.: Securing your relationship: Quality of intimate relationships during the COVID-19 pandemic can be predicted by attachment style. Frontiers in Psychology (accepted, 2021).


Eder S.J., Stefanczyk M.M., Pieniak M., Martínez Molina J., Binter J., Pešout O., Smela P., Scharnowski F., Steyrl D.: Pathogenic threat, fear, and perceived vulnerability do not predict ethnocentric orientations during the COVID-19 pandemic in Europe. Human Ethology (accepted, 2021). 


Eder S.J., Steyrl D., Stefanczyk M.M., Pieniak M., Martínez Molina J., Pešout O., Binter J., Smela P., Scharnowski F., Nicholson A.A.: Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. (2021), PLOS ONE, 16 (3), e0247997. 


Klink K., Jaun U., Federspiel A., Wunderlin M., Teunissen C.E., Kiefer C., Wiest R., Scharnowski F., Sladky R., Haugg A., Hellrung L., Peter J. (accepted, 2021): Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: Protocol of a single-blind randomized controlled trial in Mild Cognitive Impairment. BMC Psychiatry.


Haugg A., Manoliu A., Sladky R., Hulka L., Kirschner M., Brühl A., Seifritz E., Quednow B.B., Herdener M., Scharnowski F. (accepted, 2021): Disentangling craving- and valence-related brain responses to smoking cues in individuals with nicotine use disorder. Addiction Biology 


Haugg, A., Renz F., Nicholson, A. A., Lor, C., Götzendorfer, S., Sladky, R., Skouras, S., Craddock, C., McDonald, A., Hellrung, L., Kirschner, M., Herdener, M., Koush, Y., Keynan, J., Hendler, T., Kadosh, K., Zich, C., Papoutsi, M., MacInnes, J. J., Adcock, R. A., Dickerson, K., Chen, N.-K., Young, K., Bodurka, J., Marxen, M., Shuxia, Y., Becker, B., Auer, T., Schweizer, R., Pamplona, G., Lanius, R. A., Emmert, K., Haller, S., Van de Ville, D., Kim, D.-Y., Lee, J.-H., Marins, T., Fukuda, M., Sorger, B., Kamp, T., Liew, S.-L., Veit, R., Spetter, M., Weiskopf, N., Scharnowski, F.* &  Steyrl, D.* (accepted, 2021): Predictors of real-time fMRI neurofeedback performance and improvement – a machine learning mega-analysis. NeuroImage; *contributed equally





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