Publications

Scharnowski F. Differential mechanisms of posterior cingulate cortex downregulation and symptom decreases in posttraumatic stress disorder and healthy individuals using real‐time fMRI neurofeedback. Brain and Behavior. 2022 Jan.;12(1):e2441. doi: 10.1002/brb3.2441

Haugg A, Manoliu A, Sladky R, Hulka LM, Kirschner M, Brühl AB et al. Disentangling craving- and valence-related brain responses to smoking cues in individuals with nicotine use disorder. Addiction Biology. 2022 Jan.;27(1):e13083. Epub 2021 Aug. 7. doi: 10.1111/adb.13083

Krylova M, Skouras S, Razi A, Nicholson AA, Karner A, Steyrl D et al. Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks. Scientific Reports. 2021 Dez. 3;11(1):23363. doi: 10.1038/s41598-021-02079-4

Eder SJ, Stefanczyk MM, Pieniak M, Martinez-Molina J, Binter J, Pesout O et al. Dangers and Strangers: Pathogenic threat, fear, and perceived vulnerability do not predict ethnocentric orientations during the COVID-19 pandemic in Europe. Human Ethology. 2021 Nov. 5;36:125-137. doi: 10.22330/he/36/125-137

Aue T, Hoeppli ME, Scharnowski F , Steyrl D. Contributions of diagnostic, cognitive, and somatovisceral information to the prediction of fear ratings in spider phobic and non-spider-fearful individuals. Journal of Affective Disorders. 2021 Nov. 1;294:296-304. doi: 10.1016/j.jad.2021.07.040

Watve A, Haugg A, Koush Y, Willinger D, Bruhl A, Stampfli P et al. Amygdala regulation using real-time fMRI based implicit closed-loop neurofeedback. JOURNAL OF NEURAL TRANSMISSION. 2021 Nov.;128(11):1775-1775.

Haugg A, Renz FM, Nicholson AA, Lor C, Götzendorfer SJ, Sladky R et al. Predictors of Real-Time fMRI Neurofeedback Performance and Improvement - a Machine Learning Mega-Analysis. NeuroImage. 2021 Aug. 15;237:118207. doi: 10.1016/j.neuroimage.2021.118207

Eder SJ, Nicholson AA, Stefanczyk MM, Pieniak M, Martinez-Molina J, Pesout O et al. Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style. Frontiers in Psychology. 2021 Juli 21;12:647956. doi: 10.3389/fpsyg.2021.647956

Eder SJ , Steyrl D, Stefanczyk MM, Pieniak M, Molina JM, Pešout O et al. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. PLoS ONE. 2021 März;16(3):e0247997. doi: 10.1371/journal.pone.0247997

Manoliu A, Haugg A, Sladky R, Hulka L, Kirschner M, Bruhl AB et al. SmoCuDa: A Validated Smoking Cue Database to Reliably Induce Craving in Tobacco Use Disorder. European Addiction Research. 2021 März;27(2):107-114. Epub 2020 Aug. 27. doi: 10.1159/000509758

Klink K, Jaun U, Federspiel A, Wunderlin M, Teunissen CE, Kiefer C et al. Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: protocol of a single-blind randomized controlled trial in mild cognitive impairment. BMC Psychiatry. 2021 Feb. 9;21(1):87. doi: 10.1186/s12888-021-03091-8

Manoliu A, Sladky R, Scherpiet S, Jäncke L, Kirschner M, Haugg A et al. 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. Journal of Psychopharmacology. 2021 Jan.;35(1):100-102. Epub 2020. doi: 10.1177/0269881120972341

Eder SJ, Stefańczyk MM, Pieniak M, Molina JM, Binter J, Pešout O et al. Food insecurity, hoarding behavior, and environmental harshness do not predict weight changes during the COVID-19 pandemic. Human Ethology Bulletin. 2020 Dez. 8;35:122-136. doi: 10.22330/he/35/122-136

Morawetz C, Steyrl D, Berboth S, Heekeren HR, Bode S. Emotion Regulation Modulates Dietary Decision-Making via Activity in the Prefrontal–Striatal Valuation System. Cerebral Cortex. 2020 Nov.;30(11):5731–5749. doi: 10.1093/cercor/bhaa147

Haugg A, Sladky R, Skouras S, McDonald A, Craddock C, Kirschner M et al. Can we predict real-time fMRI neurofeedback learning success from pretraining brain activity? Human Brain Mapping. 2020 Okt. 1;41(14):3839-3854. doi: 10.1002/hbm.25089

Kostorz K, Flanagin VL, Glasauer S. Synchronization between instructor and observer when learning a complex bimanual skill. NeuroImage. 2020 Aug. 1;216:116659. doi: 10.1016/j.neuroimage.2020.116659

Scharnowski F, Nicholson A, Eickhoff SB, Koush Y, Pichon S, Rosa MJ et al. The role of the subgenual anterior cingulate cortex in dorsomedial prefrontal - amygdala neural circuitry during positive-social emotion regulation. Human Brain Mapping. 2020 Aug. 1;41(11):3100-3118. doi: 10.1002/hbm.25001

Scharnowski F. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain: a journal of neurology. 2020 Juni;143(6):1674-1685. doi: 10.1093/brain/awaa009

Scharnowski F. Personode: A Toolbox for ICA Map Classification and Individualized ROI Definition. Neuroinformatics. 2020 Juni;18(3):339-349. doi: 10.1007/s12021-019-09449-4

Scharnowski F. Network-based fMRI-neurofeedback training of sustained attention. NeuroImage. 2020;221:117194. doi: 10.1016/j.neuroimage.2020.117194

Skouras S, Scharnowski F. The effects of psychiatric history and age on self-regulation of the default mode network. NeuroImage. 2019 Sept.;198:150-159. 31103786. doi: 10.1016/j.neuroimage.2019.05.008

Kopel R, Sladky R, Laub P, Koush Y, Robineau F, Hutton C et al. No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI. NeuroImage. 2019 Mai 1;191: 421-429. doi: 10.1016/j.neuroimage.2019.02.058

Robineau F, Saj A, Neveu R, Van De Ville D, Scharnowski F, Vuilleumier P. 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. 2019 Apr. 6;29(3):339-360. doi: 10.1080/09602011.2017.1301262

Koush Y, Pichon S, Eickhoff SB, Van De Ville D, Vuilleumier P, Scharnowski F. Brain networks for engaging oneself in positive-social emotion regulation. NeuroImage. 2019 Apr. 1;189:106-115. doi: 10.1016/j.neuroimage.2018.12.049

Ekanayke J, Ridgeway G, Winston JS, Feredoes E, Razi A, Koush Y et al. Volitional modulation of higher-order visual cortex alters human perception. NeuroImage. 2019 März;188:291-301. doi: 10.1016/j.neuroimage.2018.11.054

Sorger B, Scharnowski F, Linden DEJ, Hampson M, Young KD. Control Freaks: Towards Optimal Selection of Control Conditions for Neurofeedback Studies. NeuroImage. 2019 Feb. 1;186:256-265. doi: 10.1016/j.neuroimage.2018.11.004

Steyrl D, Müller-Putz GR. Artifacts in EEG of simultaneous EEG-fMRI: pulse artifact remainders in the gradient artifact template are a source of artifact residuals after average artifact subtraction. Journal of Neural Engineering. 2019 Feb.;16(1):016011. doi: 10.1088/1741-2552/aaec42

Koush Y, Masala N, Scharnowski F, Van De Ville D. Data-driven tensor independent component analysis for model-based connectivity neurofeedback. NeuroImage. 2019 Jan. 1;184:214-226. doi: 10.1016/j.neuroimage.2018.08.067

Doerig A, Scharnowski F, Herzog M. Building perception block by block: a response to Fekete et al. Neuroscience of Consciousness. 2019;2019(1):niy012. doi: 10.1093/nc/niy012

Steyrl D. Improving the quality of the electroencephalogram simultaneously recorded with functional magnetic resonance imaging. 2018.

Kirschner M, Sladky R, Haugg A, Stämpfli P, Jehli E, Hodel M et al. Self-regulation of the Dopaminergic Reward Circuit in Cocaine Users with Mental Imagery and Neurofeedback. EBioMedicine. 2018 Nov.;37:489-498. doi: 10.1016/j.ebiom.2018.10.052

Schulz L, Ischebeck A, Wriessnegger SC, Steyrl D, Müller-Putz GR. Action affordances and visuo-spatial complexity in motor imagery: An fMRI study. Brain and Cognition. 2018 Juli;124:37-46. doi: 10.1016/j.bandc.2018.03.012

Scharnowski F, Ekanayake J, Hutton C, Ridgway G, Weiskopf N, Rees G. Real-time decoding of covert attention in higher-order visual areas. NeuroImage. 2018 Apr. 1;169:462-472. doi: 10.1016/j.neuroimage.2017.12.019

Steyrl D, Krausz G, Koschutnig K, Edlinger G, Müller-Putz GR. Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF). Brain Topography: journal of functional neurophysiology. 2018 Jan.;31(1):129–149. Epub 2017 Nov. 9. doi: 10.1007/s10548-017-0606-7

Statthaler K, Schwarz A, Steyrl D, Kobler R, Höller MK, Brandstetter J et al. Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline. Journal of NeuroEngineering and Rehabilitation . 2017 Dez.;14(1):129. doi: 10.1186/s12984-017-0344-9

Koush Y, Ashburner J, Prilepin E, Sladky R, Zeidman P, Bibikov S et al. Real-time fMRI data for testing OpenNFT functionality. Data in Brief. 2017 Okt.;14:344-347. doi: 10.1016/j.dib.2017.07.049

Koush Y, Ashburner J, Prilepin E, Sladky R, Zeidman P, Bibikov S et al. OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis. NeuroImage. 2017 Aug.;156:489-503. doi: 10.1016/j.neuroimage.2017.06.039

Scharnowski F, Robineau F, Meskaldji DE, Koush Y, Rieger SW, Mermoud C et al. Maintenance of Voluntary Self-regulation Learned through Real-Time fMRI Neurofeedback. Frontiers in Human Neuroscience. 2017 März 23;11:131. doi: 10.3389/fnhum.2017.00131

Steyrl D, Krausz G, Koschutnig K, Edlinger G, Müller-Putz GR. Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI. Journal of Neural Engineering. 2017 Feb. 3;14(2):026003. doi: 10.1088/1741-2552/14/2/026003

Scharnowski F, Sitaram R, Ros T, Stoeckel L, Haller S, Lewis-Peacock J et al. Closed-loop brain training: the science of neurofeedback. Nature reviews. Neuroscience. 2017 Feb.;18(2):86-100. doi: 10.1038/nrn.2016.164

Scharnowski F, Koush Y, Meskaldji DE, Pichon S, Rey G, Rieger SW et al. Learning Control Over Emotion Networks Through Connectivity-Based Neurofeedback. Cerebral Cortex. 2017 Feb.;27(2):1193-1202. doi: 10.1093/cercor/bhv311

Schwarz A, Steyrl D, Müller-Putz G. Brain-Computer Interface adaptation for an end user to compete in the Cybathlon. in 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. 2017. S. 1803-1808 doi: 10.1109/SMC.2016.7844499

Scharnowski F, Kopel R, Emmert K, Haller S, Van De Ville D. Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 2017;64(6):1228-1237. doi: 10.1109/tbme.2016.2598818

Müller-Putz G, Steyrl D, (ed.), Wriessnegger SC, (ed.), Scherer R, (ed.). Proceedings of the 7th Graz Brain-Computer Interface Conference 2017: From Vision to Reality. Graz: Verlag der Technischen Universität Graz, 2017. doi: 10.3217/978-3-85125-533-1

Wriessnegger SC, Steyrl D, Koschutnig K, Müller-Putz GR. Cooperation in mind: Motor imagery of joint and single actions is represented in different brain areas. Brain and Cognition. 2016 Nov.;109:19-25. doi: 10.1016/j.bandc.2016.08.008

Schwarz A, Steyrl D, Höller MK, Statthaler K, Müller-Putz G. BCI adaption for end user: The GRAZ-BCI approach. in Cybathlon Symposium Booklet, ETH. 2016

Höller MK, Schwarz A, Steyrl D, Statthaler K, Müller-Putz G. First contact screening of a BCI Pilot. in Cybathlon Symposium Booklet, ETH. 2016 doi: 10.13140/RG.2.2.23819.72482

Statthaler K, Steyrl D, Schwarz A, Höller MK, Müller-Putz G. Optimized individual mental tasks to control BCIs. in Cybathlon Symposium Booklet, ETH. Kloten: ETH Zurich. 2016. S. 23-23

Steyrl D, Schwarz A, Müller-Putz G. The MIRAGE91 Brain–Computer Interface. in Cybathlon Symposium Booklet, ETH. Kloten: ETH Zurich. 2016. S. 77-77

Steyrl D, Kobler R, Müller-Putz G. On similarities and differences of invasive and non-invasive electrical brain signals in brain-computer interfacing. Journal of Biomedical Science and Engineering. 2016 Juni 30;9(8):393-398. doi: 10.4236/jbise.2016.98034