Publications
Pfeiffer, M., Kuebler, A., & Hilger, K. (under Review). Modulation of Human Frontal Midline Theta by Neurofeedback: A Systematic Review and Quantitative Meta-Analysis. bioRxiv, 2023.11.10.566628. https://doi.org/10.1101/2023.11.10.566628
Popp, J. L., Thiele, J. A., Faskowitz, J., Seguin, C., Sporns, O., & Hilger, K. (In Revision). Structural-functional brain network coupling predicts human cognitive ability. (Preprint: https://www.biorxiv.org/content/10.1101/2023.02.09.527639v1)
DeYoung, C. G., Sassenberg, T., Abend, R., Allen, T., Beaty, R., Bellgrove, M., … Hilger, K., … Wacker, J. (Under Review). Reproducible between-person brain-behavior associations do not always require thousands of individuals. (Preprint: https://psyarxiv.com/sfnmk)
Hilger, K., Häge, A., Zedler, C., Jost, M., & Pauli, P. (2023). Virtual Reality to understand Pain-Associated Approach Behaviour: A Proof-of-Concept-Study. Scientific Reports, 13, 13799. https://rdcu.be/dkd8f
Nebe, S., Reutter, M., ....Hilger, K., ... & Feld, G. B. (2023). Enhancing precision in human neuroscience. Elife, 12, e85980. https://doi.org/10.7554/eLife.85980
Glück, V. M.*, Engelke, P.*, Hilger, K.*, Wong, A. H. K., Boschet, J. M. & Pittig, A. (2023). A network perspective on real-life threat, anxiety and avoidance. Journal of Clinical Psychology, 1-16. https://doi.org/10.1002/jclp.23575
Wehrheim, M. H., Faskowitz, J., Sporns, O., Fiebach, C. J., Kaschube, M., & Hilger, K. (2023). Few Temporally Distributed Brain States Predict Human Cognitive Ability. NeuroImage, 120246. https://doi.org/10.1016/j.neuroimage.2023.120246
Verona, E., Chen, H., Hall, B.,….Hilger, K.,…Clayson, P. E. (2023, in-principle acceptance, Registered Report Stage 1, Cerebral Cortex). Fear, Anxiety, and the Error-Related Negativity: A Registered Report of a Multi-Site Replication Study.
Thiele, J., Richter, A., & Hilger, K. (2023). Multimodal Brain Signal Complexity Predicts Human Intelligence. eNeuro. https://doi.org/10.1523/ENEURO.0345-22.2022
Hilger, K., & Euler, M. (2022). Intelligence and Visual Mismatch Negativity: Is Pre-Attentive Visual Discrimination Related to General Cognitive Ability? Journal of Cognitive Neuroscience, 35 (3), 1-17. https://doi.org/10.1162/jocn_a_01946
Kiser, D., Gromer, D., Pauli, P., & Hilger, K. (2022). A Virtual Reality Social Conditioned Place Preference Paradigm for Humans: Does Trait Social Anxiety Affect Approach and Avoidance of Virtual Agents? Frontiers in Virtual Reality, 3, 916575. https://doi.org/10.3389/frvir.2022.916575
Frischkorn, G. T.*, Hilger, K.*, Kretzschmar, A.* & Schubert, A-L.* (2022). Intelligenzdiagnostik der Zukunft: Ein Plädoyer für eine prozessorientierte und biologisch inspirierte Intelligenzmessung. Psychologische Rundschau, 73 (3), 173-189. https://doi.org/10.1026/0033-3042/a000598 (English Translation: https://psyarxiv.com/3sf7m/)
Hilger, K., Spinath, F., Troche, S. & Schubert, A-L. (2022). The Biological Basis of Intelligence: Benchmark Findings. Intelligence, 93, 101665. (Free access link: https://authors.elsevier.com/c/1fEyjaSXL~mDC)
Linhardt, M., Kiser, D., Pauli, P, & Hilger, K. (2022). Approach and Avoidance Beyond Verbal Measures: A Quantitative Meta-Analysis of Human Conditioned Place Preference Studies. Behavioural Brain Research, 113834. https://doi.org/10.1016/j.bbr.2022.113834
Thiele, J., Faskowitz, J., Sporns, O., & Hilger, K. (2022). Multi-Task Brain Network Reconfiguration is Inversely Associated with General Intelligence. Cerebral Cortex, 1-11. Free-access link: https://academic.oup.com/cercor/advance-article/doi/10.1093/cercor/bhab473/6523266?guestAccessKey=376a3a6e-9f15-4b27-be7a-a0e08cd6bf64
Hilger, K., & Hewig, J. (2022). Individual Differences in the Focus: Understanding Variations in Pain-Related Fear and Avoidance Behavior from the Perspective of Personality Science, PAIN, 163(2), e151-152. http://doi.org/10.1097/j.pain.0000000000002359
Hilger, K., & Sporns, O. (2021). Network Neuroscience Methods in Studying Intelligence. In A. K. Barbey, S. Kamara, & R. Haier (Eds.), The Cambridge Handbook of Intelligence and Cognitive Neuroscience. Cambridge University Press. https://doi.org/10.1017/9781108635462
Hilger, K. & Markett, S. (2021). Personality network neuroscience: promises and challenges on the way towards a unifying framework of individual variability. Network Neuroscience, 5(2), 1-34. https://doi.org/10.1162/netn_a_00198
Hilger, K., Sassenhagen, J., Kühnhausen, J., Reuter, M. Schwarz, U., Gawrilow, C, & Fiebach, C. J. (2020). Neurophysiological markers of ADHD symptoms in typically-developing children. Scientific Reports, 10, 22460. https://doi.org/10.1038/s41598-020-80562-0
Hilger, K., Fukushima, M., Sporns, O., & Fiebach, C. J. (2020). Temporal stability of functional brain modules associated with human intelligence. Human brain mapping, 41(2), 362-372.
Hilger, K., Winter, N., Leenings, R., Sassenhagen, J., Hahn, T., Basten, U., & Fiebach, C. J. (2020). Predicting Intelligence fron Brain Gray Matter Volume. Brain Structure and Function, 225, 2111-2129. https://doi.org/10.1007/s00429-020-02113-7
Hilger, K., & Fiebach, C., J. (2019). ADHD Symptoms are Associated with the Modular Structure of Intrinsic Brain Networks in a Representative Sample of Healthy Adults. Network Neuroscience, 3(2), 567-588. https://doi.org/10.1162/netn_a_00083
Hilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2017). Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence. Intelligence, 60, 10-25. http://doi.org/10.1016/j.intell.2016.11.001
Galeano Weber, E., Hahn, T., Hilger, K., & Fiebach, C. J. (2017). Distributed patterns of occipito-parietal functional connectivity predict the precision and variability of visual working memory. NeuroImage, 146, 404-418.
Hilger, K., Ekman, M., Fiebach, C. J., & Basten, U. (2017). Intelligence is associated with the modular structure of intrinsic brain networks. Scientific Reports, 7(1), 1–12. https://doi.org/10.1038/s41598-017-15795-7
Basten, U., Hilger, K., & Fiebach, C. J. (2015). Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence. Intelligence, 51, 10–27. http://doi.org/10.1016/j.intell.2015.04.009
* geteilte Erstauthorenschaft
