Mail: david.steyrl@univie.ac.at 

David’s research focus is on applying machine-learning techniques and statistical signal processing methods to psychological questions, modeling and formalizing exposure therapy, and applying rt-fMRI based neurofeedback to train brain-states with dynamic paradigms.

Past research focused on adaptive (bio-) signal processing and machine learning, with application to simultaneous EEG-fMRI and EEG based Brain-Computer Interfaces.


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2024


Thanhaeuser M, Gsoellpointner M, Kornsteiner-Krenn M, Steyrl D, Brandstetter S, Jilma B et al. Introduction of Solid Foods in Preterm Infants and Its Impact on Growth in the First Year of Life-A Prospective Observational Study. Nutrients. 2024 Jun 28;16(13):2077. doi: 10.3390/nu16132077

2023


Kostorz K, Nguyen T, Pan Y, Melinšcak F, Steyrl D, Hu Y et al. Towards fNIRS Hyperfeedback: A Feasibility Study on Real-Time Interbrain Synchrony. bioRxiv. 2023 Dez 12. doi: https://doi.org/10.1101/2023.12.11.570765

2022


Giordano V, Luister A, Reuter C, Czedik-Eysenberg I, Singer D, Steyrl D et al. Audio Feature Analysis for Acoustic Pain Detection in Term Newborns. Neonatology. 2022 Dez 1;119(6):760-768. Epub 2022 Sep 16. doi: 10.1159/000526209

Thanhaeuser M, Steyrl D, Fuiko R, Brandstaetter S, Binder C, Thajer A et al. Neurodevelopmental Outcome of Extremely Low Birth Weight Infants with Cholestasis at 12 and 24 Months. Neonatology. 2022 Jul 1;119:501-509. Epub 2022 Jun 9. doi: 10.1159/000525003

Mueller-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. 2022 Mär 24;16:869700. doi: 10.3389/fnhum.2022.869700

2021


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

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 Jul 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 Mär;16(3):e0247997. doi: 10.1371/journal.pone.0247997

2020


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

2019


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. 2018 Jul;124:37-46. doi: 10.1016/j.bandc.2018.03.012

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: https://doi.org/10.1007/s10548-017-0606-7

2017


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

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

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

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

2016


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

Müller-Putz G, Schwarz A, Steyrl D. Mirage91: The Graz BCI-Racing Team – making students familiar with BCI research. in Proceedings of the 6th International Brain-Computer Interface Meeting, Asilomar Conference Center, Pacific Grove, California, USA. 2016 doi: 10.3217/978-3-85125-467-9-63

Schwarz A, Steyrl D, Höller MK, Statthaler K, Müller-Putz GR. BCI adaptation for end users The Graz-BCI approach. 2016. doi: 10.13140/RG.2.2.17108.83846

Schwarz A, Scherer R, Steyrl D, Faller J. Mirage91: The Graz BCI-Racing Team - making students familiar with BCI research. 2016. doi: 10.13140/RG.2.2.25497.44641

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