David Steyrl
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,Google:
"David Steyrl"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Reinhold Scherer | research assistant | University of Essex (United Kingdom) | |
| Gernot R Müller-Putz | grad student | 2012-2018 | Graz University of Technology |
| Frank Scharnowski | post-doc | 2019- | University of Vienna |
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Publications
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| Lieberman JM, Rabellino D, Densmore M, et al. (2023) 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 |
| Park AH, Patel H, Mirabelli J, et al. (2023) 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 |
| Spee BTM, Mikuni J, Leder H, et al. (2023) Machine learning revealed symbolism, emotionality, and imaginativeness as primary predictors of creativity evaluations of western art paintings. Scientific Reports. 13: 12966 |
| Lieberman JM, Rabellino D, Densmore M, et al. (2023) 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 |
| Lor CS, Zhang M, Karner A, et al. (2023) Pre- and post-task resting-state differs in clinical populations. Neuroimage. Clinical. 37: 103345 |
| Müller-Putz GR, Coyle D, Lotte F, et al. (2022) Editorial: Long Term User Training and Preparation to Succeed in a Closed-Loop BCI Competition. Frontiers in Human Neuroscience. 16: 869700 |
| Krylova M, Skouras S, Razi A, et al. (2021) Progressive modulation of resting-state brain activity during neurofeedback of positive-social emotion regulation networks. Scientific Reports. 11: 23363 |
| Eder SJ, Nicholson AA, Stefanczyk MM, et al. (2021) Securing Your Relationship: Quality of Intimate Relationships During the COVID-19 Pandemic Can Be Predicted by Attachment Style. Frontiers in Psychology. 12: 647956 |
| Aue T, Hoeppli ME, Scharnowski F, et al. (2021) 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 |
| Haugg A, Renz FM, Nicholson AA, et al. (2021) Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. Neuroimage. 237: 118207 |