Publications of Arno Villringer

Obrig, H.; Schroeter, M. L.; Villringer, A.: Kognitive Neurologie - Konzepte und Kasuistiken. Lecture: Series of lectures, University of Leipzig, Faculty of Medicine, 2009-04 - 2009-07

Obrig, H.; Schroeter, M. L.; Villringer, A.: Kognitive Neurologie - Konzepte und Kasuistiken [Cognitive neurology - Concepts and casuistics]. Lecture: Series of lectures, Clinic for Cognitive Neurology, University of Leipzig, Germany, 2009 - 2010

Kube, J.: Behavioral adaptation and the processing of positive and negative action consequences in obesity. Dissertation, 159 pp., Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig (2020)

Huhn, S.: The impact of nutrition on hippocampal function: Results of a literature review and a randomized controlled trial. Dissertation, 87, XX pp., Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig (2019)

Kharabian, S.: Cardiovascular risk factors in ageing brains: Functional and structural correlates of modifiable risk factors of brain ageing and Alzheimer’s disease among older individuals. Dissertation, 119 pp., University of Leipzig, Germany (2019)

Morys, F.: Characterising and altering maladaptive behaviours and tendencies in obesity. Dissertation, 169, VIII pp., Faculty of Medicine, University of Leipzig, Germany (2019)

Zhang, R.: Obesity, brain microstructure, and cognition in ageing. Dissertation, II, 73 pp., University of Leipzig, Germany (2019)

Mühlberg, C.: Der Einfluss der Faktoren Geschlecht und Adipositas auf die inhibitorische Kontrolle. Dissertation, University of Leipzig (2018)

Hoff, M.: Motorische Plastizität über die Lebensspanne: Untersuchungen zur Reduktion altersbedingter feinmotorischer Defizite durch motorisches Lernen und nicht-invasiver Hirnstimulation. Dissertation, 59, VI pp., Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig (2018)

Mathar, D.: Obesity is associated with insufficientbehavioral adaptation. Dissertation, Faculty of Medicine, University of Leipzig, Germany (2018)

Rjosk, V.: Augmenting motor performance with mirror visual feedback (MVF): Underlying mechanisms and neural correlates. Dissertation, 45, V pp., Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig (2018)

Bianco, R.: Principles of action planning in music production: Evidence from fMRI and EEG studies in professional pianists. Dissertation, University of Leipzig (2017)

Simmank, J.: Biasing reward-based decision-making in obesity. Dissertation, 49 pp., Faculty of Medicine, University of Leipzig, Germany (2017)

Scholz, R.: A novel paradigm for testing the initial coding of hierarchical relationships within the medial temporal lobe in a circuit specific manner. Master, Humboldt University, Berlin (2020)

Bonberg, N.; Zülke, A. E.; Röhr, S.; Luppa, M.; Wirkner, K.; Baber, R.; Schroeter, M. L.; Villringer, A.; Sacher, J.; Witte, A. V. et al.; Engel, C.; Löffler, M.; Riedel-Heller, S.; Minnerup, H.: Disentangling the effects of menopause on cognitive performance – Causal framework and findings of the LIFE-Adult-Study. medRxiv (2025)

Stephani, T.; Villringer, A.; Nikulin, V. V.: Excitability modulations of somatosensory perception do not depend on feedforward neuronal population spikes. bioRxiv (2024)

Guarnier, G.; Reinelt, J.; Molloy, E. N.; Mihai, P. G.; Einaliyan, P.; Valk, S. L.; Modestino, A.; Ugolini, M.; Mueller, K.; Wu, Q. et al.; Babayan, A.; Castellaro, M.; Villringer, A.; Scherf, N.; Thierbach, K.; Schroeter, M. L.; Alzheimers Disease Neuroimaging Initiative; Australian Imaging Biomarkers and Lifestyle flagship study of ageing; Frontotemporal Lobar Degeneration Neuroimaging Initiative: Cascaded multimodal deep learning in the differential diagnosis, progression prediction, and staging of Alzheimer's and frontotemporal dementia. medRxiv (2024)

Gippert, M.; Shih, P.-C.; Heed, T.; Howard, I. S.; Idaji, M. J.; Villringer, A.; Sehm, B.; Nikulin, V. V.: Motor imagery enhances performance beyond the imagined action. bioRxiv (2024)

Hofmann, S.; Goltermann, O.; Scherf, N.; Müller, K.-R.; Löffler, M.; Villringer, A.; Gaebler, M.; Witte, A. V.; Beyer, F.: The utility of explainable A.I. for MRI analysis: Relating model predictions to neuroimaging features of the aging brain. bioRxiv (2024)

Hofmann, S.; Ciston, A.; Koushik, A.; Klotzsche, F.; Hebart, M. N.; Müller, K.-R.; Villringer, A.; Scherf, N.; Hilsmann, A.; Nikulin, V. V. et al.; Gaebler, M.: Human-aligned deep and sparse encoding models of dynamic 3D face similarity perception. PsyArXiv (2024)