Depression; Functional Magnetic Resonance Imaging (fMRI); Addiction; Neurofeedback; Neuropsychiatry; Real-Time fMRI; Neuropsychology; Post-Traumatic Stress Disorder (PTSD); Brain Research
Klink Katharina, Jaun Urs, Federspiel Andrea, Wunderlin Marina, Teunissen Charlotte E., Kiefer Claus, Wiest Roland, Scharnowski Frank, Sladky Ronald, Haugg Amelie, Hellrung Lydia, Peter Jessica (2021), Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: protocol of a single-blind randomized controlled trial in mild cognitive impairment, in BMC Psychiatry
, 21(1), 87-87.
Eder Stephanie Josephine, Steyrl David, Stefanczyk Michal Mikolaj, Pieniak Michał, Martínez Molina Judit, Pešout Ondra, Binter Jakub, Smela Patrick, Scharnowski Frank, Nicholson Andrew A. (2021), Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study, in PLOS ONE
, 16(3), e0247997-e0247997.
Manoliu Andrei, Sladky Ronald, Scherpiet Sigrid, Jäncke Lutz, Kirschner Matthias, Haugg Amelie, Bolsinger Julia, Kraehenmann Rainer, Stämpfli Philipp, Scharnowski Frank, Herwig Uwe, Seifritz Erich, Brühl Annette B (2021), Dopaminergic neuromodulation has no detectable effect on visual-cue induced haemodynamic response function in the visual cortex: A double-blind, placebo-controlled functional magnetic resonance imaging study, in Journal of Psychopharmacology
, 35(1), 100-102.
Pamplona Gustavo S.P., Heldner Jennifer, Langner Robert, Koush Yury, Michels Lars, Ionta Silvio, Scharnowski Frank, Salmon Carlos E.G. (2020), Network-based fMRI-neurofeedback training of sustained attention, in NeuroImage
, 221, 117194-117194.
Haugg Amelie, Sladky Ronald, Skouras Stavros, McDonald Amalia, Craddock Cameron, Kirschner Matthias, Herdener Marcus, Koush Yury, Papoutsi Marina, Keynan Jackob N., Hendler Talma, Cohen Kadosh Kathrin, Zich Catharina, MacInnes Jeff, Adcock R. Alison, Dickerson Kathryn, Chen Nan‐Kuei, Young Kymberly, Bodurka Jerzy, Yao Shuxia, Becker Benjamin, Auer Tibor, Schweizer Renate, Pamplona Gustavo, et al. (2020), Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?, in Human Brain Mapping
, 41(14), 3839-3854.
Manoliu Andrei, Haugg Amelie, Sladky Ronald, Hulka Lea, Kirschner Matthias, Brühl Annette B., Seifritz Erich, Quednow Boris, Herdener Marcus, Scharnowski Frank (2020), SmoCuDa: A Validated Smoking Cue Database to Reliably Induce Craving in Tobacco Use Disorder, in European Addiction Research
Scharnowski Frank, Nicholson Andrew A., Pichon Swann, Rosa Maria J., Rey Gwladys, Eickhoff Simon B., Van De Ville Dimitri, Vuilleumier Patrik, Koush Yury (2020), The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal–amygdala neural circuitry during positive‐social emotion regulation, in Human Brain Mapping
, 41(11), 3100-3118.
Pamplona Gustavo S. P., Vieira Bruno H., Scharnowski Frank, Salmon Carlos E. G. (2020), Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition, in Neuroinformatics
, 18(3), 339-349.
Ros Tomas, Enriquez-Geppert Stefanie, Zotev Vadim, Young Kymberly D, Wood Guilherme, Whitfield-Gabrieli Susan, Wan Feng, Vuilleumier Patrik, Vialatte François, Van De Ville Dimitri, Todder Doron, Surmeli Tanju, Sulzer James S, Strehl Ute, Sterman Maurice Barry, Steiner Naomi J, Sorger Bettina, Soekadar Surjo R, Sitaram Ranganatha, Sherlin Leslie H, Schönenberg Michael, Scharnowski Frank, Schabus Manuel, Rubia Katya, et al. (2020), Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist), in Brain
, 143(6), 1674-1685.
Skouras Stavros, Scharnowski Frank (2019), The effects of psychiatric history and age on self-regulation of the default mode network, in NeuroImage
, 198, 150-159.
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, in NeuroImage
, 191, 421-429.
Koush Yury, Pichon Swann, Eickhoff Simon B., Van De Ville Dimitri, Vuilleumier Patrik, Scharnowski Frank (2019), Brain networks for engaging oneself in positive-social emotion regulation, in NeuroImage
, 189, 106-115.
Ekanayake Jinendra, Ridgway Gerard R., Winston Joel S., Feredoes Eva, Razi Adeel, Koush Yury, Scharnowski Frank, Weiskopf Nikolaus, Rees Geraint (2019), Volitional modulation of higher-order visual cortex alters human perception, in NeuroImage
, 188, 291-301.
Sorger Bettina, Scharnowski Frank, Linden David E.J., Hampson Michelle, Young Kymberly D. (2019), Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies, in NeuroImage
, 186, 256-265.
Doerig Adrien, Scharnowski Frank, Herzog Michael H (2019), Building perception block by block: a response to Fekete et al., in Neuroscience of Consciousness
, 2019(1), 1.
Koush Yury, Masala Nemanja, Scharnowski Frank, Van De Ville Dimitri (2019), Data-driven tensor independent component analysis for model-based connectivity neurofeedback, in NeuroImage
, 184, 214-226.
Kirschner Matthias, Sladky Ronald, Haugg Amelie, Stämpfli Philipp, Jehli Elisabeth, Hodel Martina, Engeli Etna, Hösli Sarah, Baumgartner Markus R., Sulzer James, Huys Quentin J.M., Seifritz Erich, Quednow Boris B., Scharnowski Frank, Herdener Marcus (2018), Self-regulation of the dopaminergic reward circuit in cocaine users with mental imagery and neurofeedback, in EBioMedicine
, 37, 489-498.
Ekanayake Jinendra, Hutton Chloe, Ridgway Gerard, Scharnowski Frank, Weiskopf Nikolaus, Rees Geraint (2018), Real-time decoding of covert attention in higher-order visual areas, in NeuroImage
, 169, 462-472.
Robineau Fabien, Meskaldji Djalel E, Koush Yury, Rieger Sebastian W, Mermoud Christophe, Morgenthaler Stephan, Van De Ville Dimitri, Vuilleumier Patrik, Scharnowski Frank (2017), Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback., in Frontiers in human neuroscience
, 11, 131-131.
Koush Yury, Ashburner John, Prilepin Evgeny, Sladky Ronald, Zeidman Peter, Bibikov Sergei, Scharnowski Frank, Nikonorov Artem, Van De Ville Dimitri (2017), Real-time fMRI data for testing OpenNFT functionality., in Data in brief
, 14, 344-347.
Koush Yury, Ashburner John, Prilepin Evgeny, Sladky Ronald, Zeidman Peter, Bibikov Sergei, Scharnowski Frank, Nikonorov Artem, De Ville Dimitri Van (2017), OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis., in NeuroImage
, 156, 489-503.
Kopel Rotem, Emmert Kirsten, Scharnowski Frank, Haller Sven, Van De Ville Dimitri (2017), Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training., in IEEE transactions on bio-medical engineering
, 64(6), 1228-1237.
Robineau Fabien, Saj Arnaud, Neveu Rémi, Van De Ville Dimitri, Scharnowski Frank, Vuilleumier Patrik (2017), Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary results., in Neuropsychological rehabilitation
Sitaram Ranganatha, Ros Tomas, Stoeckel Luke, Haller Sven, Scharnowski Frank, Lewis-Peacock Jarrod, Weiskopf Nikolaus, Blefari Maria Laura, Rana Mohit, Oblak Ethan, Birbaumer Niels, Sulzer James (2017), Closed-loop brain training: the science of neurofeedback., in Nature reviews. Neuroscience
, 18(2), 86-100.
Koush Yury, Meskaldji Djalel-E, Pichon Swann, Rey Gwladys, Rieger Sebastian W, Linden David E J, Van De Ville Dimitri, Vuilleumier Patrik, Scharnowski Frank (2017), Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback., in Cerebral cortex (New York, N.Y. : 1991)
, 27(2), 1193-1202.
Herzog Michael H, Kammer Thomas, Scharnowski Frank (2016), Time Slices: What Is the Duration of a Percept?, in PLoS biology
, 14(4), 1002433-1002433.
Scharnowski Frank, Veit Ralf, Zopf Regine, Studer Petra, Bock Simon, Diedrichsen Jörn, Goebel Rainer, Mathiak Klaus, Birbaumer Niels, Weiskopf Nikolaus (2015), Manipulating motor performance and memory through real-time fMRI neurofeedback, in Biological Psychology
, 108, 85-97.
Scharnowski Frank, Weiskopf Nikolaus (2015), Cognitive enhancement through real-time fMRI neurofeedback, in Current Opinion in Behavioral Sciences
, 4, 122-127.
Psychiatric disorders are a substantial burden on the affected individuals and on society, and their treatment is one of the most pressing issues in contemporary medicine. Current therapeutic strategies are insufficient in that they often fail and relapses occur; the development of new forms of more effective treatment is urgently needed.My research vision is to establish a novel experimental therapy that is non-invasive, that can be personalized to the individual needs of each patient, and that combines biological as well as psychological factors. This can be achieved by using brain imaging based on functional magnetic resonance imaging as a therapeutic tool. Typically, in clinical domains, brain imaging is used to diagnose patterns of brain activity that underlie mental disorders. By combining it with technically sophisticated real-time analyses and neurofeedback of brain signals, patients can learn to self-regulate their brain activity. Feedback is crucial for learning, and neurofeedback makes information about brain activity accessible to our consciousness. It allows patients to learn voluntary control over their own brain activity, and thus to learn to normalize abnormal patterns of brain activity that are associated with their disorder.To accomplish this ambitious goal I propose challenging but feasible frontier research projects which will provide important methodological innovations to pave the way for the next generation of neurofeedback technologies, and which will apply conceptually and technically unprecedented uses of neurofeedback to three of the most burdening psychiatric disorders: depression, post-traumatic stress disorder, and addiction.If successful, the projects proposed will make a decisive contribution to establishing a novel therapeutic approach for the treatment of burdening psychiatric disorders. It might be the beginning of a paradigm shift towards therapeutic strategies that focus on a fundamental human capacity: our ability to learn.