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David Steyrl - Publications

Affiliations: 
University of Vienna, Wien, Wien, Austria 
Area:
Brain-Computer Interfaces, simultaneous EEG-fMRI, spider phobia, exposure therapy, closed-loop neurofeedback, realtime fMEI, machine-learning in psychology,
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31 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Spee BTM, Leder H, Mikuni J, Scharnowski F, Pelowski M, Steyrl D. Using machine learning to predict judgments on Western visual art along content-representational and formal-perceptual attributes. Plos One. 19: e0304285. PMID 39241039 DOI: 10.1371/journal.pone.0304285  0.614
2024 Mikuni J, Spee BTM, Forlani G, Leder H, Scharnowski F, Nakamura K, Watanabe K, Kawabata H, Pelowski M, Steyrl D. Cross-cultural comparison of beauty judgments in visual art using machine learning analysis of art attribute predictors among Japanese and German speakers. Scientific Reports. 14: 15948. PMID 38987540 DOI: 10.1038/s41598-024-65088-z  0.595
2024 Karner A, Zhang M, Lor CS, Steyrl D, Götzendorfer SJ, Weidt S, Melinscak F, Scharnowski F. The "SpiDa" dataset: self-report questionnaires and ratings of spider images from spider-fearful individuals. Frontiers in Psychology. 15: 1327367. PMID 38873522 DOI: 10.3389/fpsyg.2024.1327367  0.552
2023 Lieberman JM, Rabellino D, Densmore M, Frewen PA, Steyrl D, Scharnowski F, Théberge J, Hosseini-Kamkar N, Neufeld RWJ, Jetly R, Frey BN, Ros T, Lanius RA, Nicholson AA. A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study. Frontiers in Neuroscience. 17: 1229729. PMID 38094001 DOI: 10.3389/fnins.2023.1229729  0.612
2023 Park AH, Patel H, Mirabelli J, Eder SJ, Steyrl D, Lueger-Schuster B, Scharnowski F, O'Connor C, Martin P, Lanius RA, McKinnon MC, Nicholson AA. Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles. Psychological Trauma : Theory, Research, Practice and Policy. PMID 38010788 DOI: 10.1037/tra0001602  0.59
2023 Spee BTM, Mikuni J, Leder H, Scharnowski F, Pelowski M, Steyrl D. Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. Scientific Reports. 13: 12966. PMID 37563194 DOI: 10.1038/s41598-023-39865-1  0.617
2023 Lieberman JM, Rabellino D, Densmore M, Frewen PA, Steyrl D, Scharnowski F, Théberge J, Neufeld RWJ, Schmahl C, Jetly R, Narikuzhy S, Lanius RA, Nicholson AA. Posterior cingulate cortex targeted real-time fMRI neurofeedback recalibrates functional connectivity with the amygdala, posterior insula, and default-mode network in PTSD. Brain and Behavior. e2883. PMID 36791212 DOI: 10.1002/brb3.2883  0.586
2023 Lor CS, Zhang M, Karner A, Steyrl D, Sladky R, Scharnowski F, Haugg A. Pre- and post-task resting-state differs in clinical populations. Neuroimage. Clinical. 37: 103345. PMID 36780835 DOI: 10.1016/j.nicl.2023.103345  0.695
2022 Müller-Putz GR, Coyle D, Lotte F, Jin J, Steyrl D. Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition. Frontiers in Human Neuroscience. 16: 869700. PMID 35399355 DOI: 10.3389/fnhum.2022.869700  0.494
2021 Krylova M, Skouras S, Razi A, Nicholson AA, Karner A, Steyrl D, Boukrina O, Rees G, Scharnowski F, Koush Y. Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks. Scientific Reports. 11: 23363. PMID 34862407 DOI: 10.1038/s41598-021-02079-4  0.666
2021 Eder SJ, Nicholson AA, Stefanczyk MM, 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. 12: 647956. PMID 34366966 DOI: 10.3389/fpsyg.2021.647956  0.581
2021 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. 294: 296-304. PMID 34304084 DOI: 10.1016/j.jad.2021.07.040  0.566
2021 Haugg A, Renz FM, Nicholson AA, Lor C, Götzendorfer SJ, Sladky R, Skouras S, McDonald A, Craddock C, Hellrung L, Kirschner M, Herdener M, Koush Y, Papoutsi M, Keynan J, ... ... Steyrl D, et al. Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Neuroimage. 237: 118207. PMID 34048901 DOI: 10.1016/j.neuroimage.2021.118207  0.755
2021 Eder SJ, Steyrl D, Stefanczyk MM, Pieniak M, Martínez Molina J, Pešout O, Binter J, Smela P, Scharnowski F, Nicholson AA. Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. Plos One. 16: e0247997. PMID 33705439 DOI: 10.1371/journal.pone.0247997  0.578
2019 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. 16: 016011. PMID 30523809 DOI: 10.1088/1741-2552/Aaec42  0.565
2018 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. 124: 37-46. PMID 29723681 DOI: 10.1016/J.Bandc.2018.03.012  0.54
2018 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. 31: 129-149. PMID 29124547 DOI: 10.1007/S10548-017-0606-7  0.58
2017 Statthaler K, Schwarz A, Steyrl D, Kobler R, Höller MK, Brandstetter J, Hehenberger L, Bigga M, Müller-Putz G. Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline. Journal of Neuroengineering and Rehabilitation. 14: 129. PMID 29282131 DOI: 10.1186/S12984-017-0344-9  0.567
2017 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. 14: 026003. PMID 28155841 DOI: 10.1088/1741-2552/14/2/026003  0.56
2016 Wriessnegger SC, Steyrl D, Koschutnig K, Müller-Putz G. Cooperation in mind: Motor imagery of joint and single actions is represented in different brain areas Brain and Cognition. 109: 19-25. PMID 27632555 DOI: 10.1016/J.Bandc.2016.08.008  0.573
2016 Steyrl D, Kobler RJ, Müller-Putz GR. On Similarities and Differences of Invasive and Non-Invasive Electrical Brain Signals in Brain-Computer Interfacing Journal of Biomedical Science and Engineering. 9: 393-398. DOI: 10.4236/Jbise.2016.98034  0.552
2015 Steyrl D, Patz F, Krausz G, Edlinger G, Müller-Putz GR. Reduction of EEG artifacts in simultaneous EEG-fMRI: Reference layer adaptive filtering (RLAF). Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2015: 3803-6. PMID 26737122 DOI: 10.1109/EMBC.2015.7319222  0.507
2015 Scherer R, Faller J, Opisso E, Costa U, Steyrl D, Muller-Putz GR. Bring mental activity into action! An enhanced online co-adaptive brain-computer interface training protocol. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 2323-6. PMID 26736758 DOI: 10.1109/EMBC.2015.7318858  0.69
2015 Schwarz A, Scherer R, Steyrl D, Faller J, Muller-Putz GR. A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2015: 1049-52. PMID 26736445 DOI: 10.1109/EMBC.2015.7318545  0.691
2015 Steyrl D, Scherer R, Faller J, Müller-Putz GR. Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier. Biomedizinische Technik. Biomedical Engineering. PMID 25830903 DOI: 10.1515/Bmt-2014-0117  0.684
2015 Scherer R, Faller J, Opisso E, Costa U, Steyrl D, Muller-Putz GR. Bring mental activity into action! An enhanced online co-adaptive brain-computer interface training protocol Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 2323-2326. DOI: 10.1109/EMBC.2015.7318858  0.583
2015 Schwarz A, Scherer R, Steyrl D, Faller J, Muller-Putz GR. A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 1049-1052. DOI: 10.1109/EMBC.2015.7318545  0.563
2014 Bauernfeind G, Steyrl D, Brunner C, Muller-Putz GR. Single trial classification of fNIRS-based brain-computer interface mental arithmetic data: a comparison between different classifiers. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2014: 2004-7. PMID 25570376 DOI: 10.1109/EMBC.2014.6944008  0.557
2014 Muller-Putz GR, Steyrl D, Faller J. Adaptive hybrid brain-computer interaction: Ask a trainer for assistance! Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 1493-6. PMID 25570252 DOI: 10.1109/EMBC.2014.6943884  0.57
2014 Wriessnegger SC, Steyrl D, Koschutnig K, Müller-Putz GR. Short time sports exercise boosts motor imagery patterns: implications of mental practice in rehabilitation programs. Frontiers in Human Neuroscience. 8: 469. PMID 25071505 DOI: 10.3389/Fnhum.2014.00469  0.577
2013 Steyrl D, Wriessnegger SC, Müller-Putz GR. Single Trial Motor Imagery Classification in EEG Measured During FMRI Image Acquisition - A First Glance Biomedizinische Technik. PMID 24043195 DOI: 10.1515/Bmt-2013-4450  0.564
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