Mail: cindy.lor@univie.ac.at

Cindy studied Bioengineering at the Ecole Polytechnique Fédérale de Lausanne and Neurosciences at the ETH Zürich. For her PhD, she is developing new real-time fMRI neurofeedback methods for clinical applications.

Publications

2024

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

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.

Juergensen V, Peter LJ, Steyrl D, Lor CS, Bui AP, McLaren T et al. The help-seeking process and predictors of mental health care use among individuals with depressive symptoms: a machine learning approach. Frontiers in Public Health. 2024;12:1504720. doi: 10.3389/fpubh.2024.1504720

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

2023

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

2022

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

2021

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