Project

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Treatment of Human Brain Dysfunction with Neurofeedback.

Applicant Scharnowski Frank
Number 155915
Funding scheme SNSF Starting Grants
Research institution Institut für Psychologie Universität Wien
Institution of higher education Unassignable - NA
Main discipline Psychology
Start/End 01.10.2015 - 31.03.2021
Approved amount 1'498'388.00
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All Disciplines (3)

Discipline
Psychology
Neurology, Psychiatry
Biomedical Engineering

Keywords (9)

Depression; Functional Magnetic Resonance Imaging (fMRI); Addiction; Neurofeedback; Neuropsychiatry; Real-Time fMRI; Neuropsychology; Post-Traumatic Stress Disorder (PTSD); Brain Research

Lay Summary (German)

Lead
Psychiatrische Störungen sind eine erhebliche Belastung für die Betroffenen und die Gesellschaft. Deren Behandlung ist eines der drängendsten Probleme in der heutigen Medizin. Derzeitige Behandlungsoptionen haben häufig zu geringen Erfolg, und Patienten werden rückfällig. Deshalb ist die Entwicklung neuer und effektiver Behandlungsformen dringend notwendig.
Lay summary

Unser Ziel ist es, eine neuartige, nicht-invasive experimentelle Therapie zu etablieren, welche auf die individuellen Bedürfnisse eines jeden Patienten angepasst werden kann, und welche biologische sowie psychologische Aspekte der psychiatrischen Störung berücksichtigt. Zu diesem Zweck werden wir Techniken der Bildgebung des menschlichen Gehirns wie die funktionelle Magnetresonanztomographie als therapeutisches Mittel einsetzen. Bisher wurden solche Verfahren nur zur Diagnose von abweichender Hirnaktivität bei psychiatrischen Störungen eingesetzt. Indem wir die gemessene Hirnaktivität in Echtzeit analysieren und den Patienten darstellen, können diese lernen, ihre eigne Hirnaktivität zu kontrollieren. Ein solches Neurofeedback-Training ermöglicht es Patienten, die aufgrund ihrer Störung abweichende Hirnaktivität zu normalisieren. Eine solche Therapie gründet auf einer wesentlichen menschlichen Eigenschaft: Unserer Fähigkeit zu lernen.

Direct link to Lay Summary Last update: 17.09.2015

Responsible applicant and co-applicants

Employees

Publications

Publication
Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: protocol of a single-blind randomized controlled trial in mild cognitive impairment
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.
Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study
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.
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
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.
Network-based fMRI-neurofeedback training of sustained attention
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.
Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?
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.
SmoCuDa: A Validated Smoking Cue Database to Reliably Induce Craving in Tobacco Use Disorder
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, 1-8.
The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal–amygdala neural circuitry during positive‐social emotion regulation
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.
Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition
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.
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist)
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.
The effects of psychiatric history and age on self-regulation of the default mode network
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.
No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI
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.
Brain networks for engaging oneself in positive-social emotion regulation
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.
Volitional modulation of higher-order visual cortex alters human perception
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.
Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies
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.
Building perception block by block: a response to Fekete et al.
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.
Data-driven tensor independent component analysis for model-based connectivity neurofeedback
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.
Self-regulation of the dopaminergic reward circuit in cocaine users with mental imagery and neurofeedback
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.
Real-time decoding of covert attention in higher-order visual areas
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.
Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback.
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.
Real-time fMRI data for testing OpenNFT functionality.
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.
OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis.
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.
Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training.
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.
Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary results.
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, 1-22.
Closed-loop brain training: the science of neurofeedback.
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.
Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback.
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.
Time Slices: What Is the Duration of a Percept?
Herzog Michael H, Kammer Thomas, Scharnowski Frank (2016), Time Slices: What Is the Duration of a Percept?, in PLoS biology, 14(4), 1002433-1002433.
Manipulating motor performance and memory through real-time fMRI neurofeedback
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.
Cognitive enhancement through real-time fMRI neurofeedback
Scharnowski Frank, Weiskopf Nikolaus (2015), Cognitive enhancement through real-time fMRI neurofeedback, in Current Opinion in Behavioral Sciences, 4, 122-127.

Datasets

Real-time fMRI data for testing OpenNFT functionality

Author Koush, Yury; Ashburner, John; Prilepin, Evgeny; Sladky, Ronald; Zeidman, Peter; Bibikov, Sergei; Scharnowski, Frank; Nikonorov, Artem; Van De Ville, Dimitri
Publication date 01.10.2017
Persistent Identifier (PID) https://doi.org/10.1016/j.dib.2017.07.049
Repository Data in Brief


Smoking Cue Database

Author Scharnowski, Frank
Persistent Identifier (PID) https://osf.io/6gwy5/
Repository OSF


Scientific events

Active participation

Title Type of contribution Title of article or contribution Date Place Persons involved
International Conference on Basic and Clinical Multimodal Imaging Talk given at a conference Modulating brain function and dysfunction with neurofeedback. 01.09.2017 Bern, Switzerland Scharnowski Frank;
Organisation for Human Brain Mapping Poster Improving attention through network-based neurofeedback training. 25.06.2017 Vancouver, Canada Scharnowski Frank;
Organisation for Human Brain Mapping Poster Pre-training localizer activity predicts real-time fMRI neurofeedback learning success 25.06.2017 Vancouver, Canada Haugg Amelie; Sladky Ronald; Scharnowski Frank;
Organisation for Human Brain Mapping Poster Brain networks underlying successful emotion regulation with real-time fMRI neurofeedback 25.06.2017 Vancouver, Canada Sladky Ronald; Scharnowski Frank;
Organisation for Human Brain Mapping Poster Improving residual vision in cortically blind patients using real-time fMRI neurofeedback. 25.06.2017 Vancouver, Canada Scharnowski Frank;
International Society for Magnetic Resonance Imaging in Medicine Meeting Poster Improving attention through network-based neurofeedback training 22.04.2017 Honolulu, United States of America Scharnowski Frank;
5th Biennale Conference on Resting State and Brain Connectivity Talk given at a conference Learning control over emotion networks with real-time fMRI connectivity feedback 23.09.2016 Vienna, Austria Scharnowski Frank;
Workshop at the 5th Biennale Conference on Resting State and Brain Connectivity Talk given at a conference Real-time fMRI based on connectivity estimates 20.09.2016 Vienna, Austria Scharnowski Frank;
Center for Neuroscience Symposium Talk given at a conference Modulating human brain function with neurofeedback 15.09.2016 Zürich, Switzerland Scharnowski Frank;
IBSA Foundation Symposium Talk given at a conference Improving human brain function and dysfunction with neurofeedback 09.09.2016 Geneva, Switzerland Scharnowski Frank;
Organisation for Human Brain Mapping Poster Dynamic brain networks engaged in positive emotion regulation 26.06.2016 Geneva, Switzerland Scharnowski Frank;
Organisation for Human Brain Mapping Poster Training local brain activity using real-time fMRI neurofeedback impacts a distributed set of brain. 26.06.2016 Geneva, Switzerland Scharnowski Frank;
Annual Meeting of the Organization for Human Brain Mapping Talk given at a conference Dynamic brain networks engaged in positive emotion regulation 26.06.2016 Geneva, Switzerland Scharnowski Frank;
Organisation for Human Brain Mapping Poster Rest after neurofeedback training? Recovery of brain activity following neurofeedback training. 26.06.2016 Geneva, Switzerland Scharnowski Frank;
Organisation for Human Brain Mapping Poster Self-regulation of the dopaminergic reward system via real time fMRI neurofeedback in cocaine users. 26.06.2016 Geneva, Switzerland Scharnowski Frank; Sladky Ronald;
42. Tagung Psychologie und Gehirn Talk given at a conference Emotionsregulation mittels Konnektivitäts-Neurofeedback 28.05.2016 Berlin, Germany Scharnowski Frank;


Self-organised

Title Date Place
1st Brainhack Zürich: Open tools for reproducible neuroscience 02.03.2017 Zürich, Switzerland
3rd Burghölzli Psychiatry Meeting 25.10.2016 Zürich, Switzerland
Scientific and clinical applications of EEG and fMRI neurofeedback - workshop at OHBM 30.06.2016 Geneva, Switzerland

Communication with the public

Communication Title Media Place Year
Talks/events/exhibitions Brain Fair: Wie wahr ist unsere Wahrnehmung? German-speaking Switzerland 2016
Media relations: print media, online media Daumenkino des Bewusstseins UZH Magazin German-speaking Switzerland 2016
Talks/events/exhibitions Tag der Forschung - Psychiatrische Universitätsklinik Zürich International German-speaking Switzerland 2016

Awards

Title Year
NBU Symposium Travel Award 2020
EBPS Travel Award 2018
OHBM Merit Abstract Award 2018
rtFIN poster award 2017
OHBM travel grant 2016

Use-inspired outputs

Software

Name Year


Associated projects

Number Title Start Funding scheme
147126 Network based rtfMRI neurofeedback for clinical applications 01.09.2013 Project funding (Div. I-III)
178841 Closed-loop brain training 01.06.2018 Project funding (Div. I-III)

Abstract

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.
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