Publications

Chiappini E, Massaccesi C, Korb S, Steyrl D, Willeit M, Silani G. Neural Hyperresponsivity During the Anticipation of Tangible Social and Nonsocial Rewards in Autism Spectrum Disorder: A Concurrent Neuroimaging and Facial Electromyography Study. Biological psychiatry. Cognitive neuroscience and neuroimaging. 2024 Sep;9(9):948-957. Epub 2024 Apr 18. doi: 10.1016/j.bpsc.2024.04.006

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. 2024 Sep;19(9):e0304285. doi: 10.1371/journal.pone.0304285, 10.1371/journal.pone.0304285

Mikuni J , Spee BTM, Forlani G, Leder H , Scharnowski F, Nakamura K et al. Cross-Cultural Comparison of Beauty Judgments in Visual Art Using Machine Learning Analysis of Art Attribute Predictors Among Japanese and German Speakers. Scientific Reports. 2024 Jul 10;14(1):15948. doi: 10.1038/S41598-024-65088-Z

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

Karner A, Obenaus L, Zhang M, Lor C, Kostorz K , Pegler D et al. Visual attributes of spiders associated with aversiveness in spider-fearful individuals: A machine learning analysis. PsyArXiv. 2024 Jun 14. doi: 10.31234/osf.io/ht2pr

Siegel M , Steyrl D, Goldberg AE, Nicholson A, Zemp M. Exposure to minority stress and structural stigma predict well-being in LGBTQ+ parents across 19 European countries: An intersectional, machine learning-based approach. 2024 Apr 12. doi: 10.31234/osf.io/hqkxb

Popovova J, Mazloum R, Macauda G, Stämpfli P, Vuilleumier P, Frühholz S et al. Enhanced attention-related alertness following right anterior insular cortex neurofeedback training. Iscience. 2024 Feb 16;27(2):108915. 108915. doi: 10.1016/j.isci.2024.108915

Zhang M , Karner A , Kostorz K, Shea S, Steyrl D , Melinšcak F et al. SpiDa-MRI, behavioral and (f)MRI data of adults with fear of spiders. bioRxiv. 2024 Feb 7.

Karner A , Zhang M, Lor CS, Steyrl D, Götzendorfer SJ, Weidt S et al. The "SpiDa" dataset: self-report questionnaires and ratings of spider images from spider-fearful individuals. Frontiers in Psychology. 2024;15:1327367. doi: 10.3389/fpsyg.2024.1327367

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: 10.1101/2023.12.11.570765

Park AH, Patel H, Mirabelli J, Eder SJ , Steyrl D , Lueger-Schuster B et al. Machine learning models predict PTSD severity and functional impairment: A personalized medicine approach for uncovering complex associations among heterogeneous symptom profiles. Psychological Trauma. 2023 Nov 27. doi: 10.1037/tra0001602

Lieberman JM, Rabellino D, Densmore M, Frewen PA, Steyrl D , Scharnowski F et al. 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. 2023 Nov;17:1229729. doi: 10.3389/fnins.2023.1229729

Pamplona GSP, Heldner J, Langner R, Koush Y, Michels L, Ionta S et al. Preliminary findings on long-term effects of fMRI neurofeedback training on functional networks involved in sustained attention. Brain and Behavior. 2023 Okt;13(10):e3217. doi: 10.1002/brb3.3217

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. 2023 Aug;13(1):12966. doi: 10.1038/s41598-023-39865-1

Siegel M , Zemp M, Goldberg AE, Nicholson A, Steyrl D. Preregistration: Hidden hearts: Structural stigma and minority stress as predictors of avoiding public display of affection among individuals in same-gender relationships from 28 European countries. 2023. doi: 10.17605/OSF.IO/AR2VH

Siegel M , Steyrl D, Goldberg AE, Nicholson A, Zemp M. Preregistration: Individual-, couple-, and family-level minority stress in LGBT parents from 22 European countries: An intersectional, machine learning-based approach. 2023. doi: 10.17605/OSF.IO/HQTGA

Thanhaeuser M, Steyrl D, Fuiko R, Brandstaetter S, Binder C, Thajer A et al. A secondary outcome analysis of a randomized trial using a mixed lipid emulsion containing fish oil in infants with extremely low birth weight: Cognitive and behavioral outcome at preschool age. The Journal of pediatrics. 2023 Mär;254:68-74.e3. Epub 2022 Okt 15. doi: 10.1016/j.jpeds.2022.10.014

Lieberman JM, Rabellino D, Densmore M, Frewen PA, Steyrl D , Scharnowski F et al. 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. 2023 Mär;13(3):e2883. doi: 10.1002/brb3.2883

Langner R, Scharnowski F, Ionta S, G Salmon CE, Piper BJ, Pamplona GSP. Evaluation of the reliability and validity of computerized tests of attention. PLoS ONE. 2023 Jan;18(1):e0281196. doi: 10.1371/journal.pone.0281196

Lor CS, Zhang M , Karner A , Steyrl D , Sladky R , Scharnowski F et al. Pre- and post-task resting-state differs in clinical populations. NeuroImage: Clinical. 2023 Jan;37:103345. doi: 10.1016/j.nicl.2023.103345

Lor CS, Haugg A, Zhang M, Schneider L, Herdener M, Quednow BB et al. Thalamic volume and functional connectivity are associated with nicotine dependence severity and craving. Addiction Biology. 2023 Jan;28(1):e13261. Epub 2022 Nov 30. doi: 10.1111/adb.13261

Terry J, Ross RM, Nagy T, Salgado M, Garrido-Vásquez P, Sarfo JO et al. Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset). Journal of Open Psychology Data. 2023;11(1):8. doi: 10.5334/jopd.80

Watve A, Haugg A, Frei N, Koush Y, Willinger D, Brühl AB et al. Facing emotions: real-time fMRI-based neurofeedback using dynamic emotional faces to modulate amygdala activity. Frontiers in Neuroscience. 2023;17:1286665. doi: 10.3389/fnins.2023.1286665, 10.3389/fnins.2023.1286665

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

Giordano V, Bibl K, Felnhofer A , Kothgassner O, Steinbauer P, Eibensteiner F et al. Relationship between psychological characteristics, personality traits, and training on performance in a neonatal resuscitation scenario: A machine learning based analysis. Frontiers in Pediatrics . 2022 Nov 18;10:1000544. doi: 10.3389/fped.2022.1000544

Lor CS, Haugg A, Zhang M, Schneider LM, Herdener M, Quednow BB et al. Thalamic volume and functional connectivity are associated with nicotine dependence severity and craving. bioRxiv. 2022 Sep 27. doi: 10.1101/2022.09.25.509385

Lor CS, Zhang M , Karner A , Steyrl D , Sladky R , Scharnowski F et al. Pre- and post-task resting-state differs in clinical populations. bioRxiv. 2022 Sep 22. doi: 10.1101/2022.09.20.508750

Hellrung L, Kirschner M, Sulzer J, Sladky R , Scharnowski F, Herdener M et al. Analysis of individual differences in neurofeedback training illuminates successful self-regulation of the dopaminergic midbrain. Communications Biology. 2022 Aug 19;5(1):845. doi: 10.1038/s42003-022-03756-4

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

Kostorz K, Flanagin VL, Glasauer S. Intersubject synchrony of viewers during naturalistic observational self-learning of a complex bimanual task. Neuroimage: Reports. 2022 Jun;2(2):100084. doi: 10.1016/j.ynirp.2022.100084

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

Lukacs G, Steyrl D. Machine Learning Mega-Analysis Applied to the Response Time Concealed Information Test: No Evidence for Advantage of Model-Based Predictors Over Baseline. Collabra: Psychology. 2022 Feb 23;8(1):32661. doi: 10.1525/collabra.32661

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 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

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 Mär;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 Jun;143(6):1674-1685. doi: 10.1093/brain/awaa009