Dr. Kirsten Hilger
Julius-Maximilians-Universität
Department of Psychology I
Marcusstr. 9-11
97070 Würzburg
Room: 201
Phone: +49 931 31- 81141
Mail: kirsten.hilger@uni-wuerzburg.de
ORCID: 0000-0003-3940-5884
Google Scholar: https://tinyurl.com/DrKirstenHilger
ResearchGate: https://www.researchgate.net/profile/Kirsten-Hilger
OSF: osf.io/evqa7
Twitter: @Kirsten_Hilger
HilgerLab Homepage: https://tinyurl.com/HilgerLab
Committees:
- Vice-Speaker of the Convention of Scientific Employees >>
- Representative in the Commission for Science and Young Scientists >>
- Elected Board Member of the Intelligence Research (ISIR) >>
Editorial Boards:
- Intelligence >>
since 2019 | Assistant Professor and Head of Research Group "Networks of Behavior and Cognition“, Department of Psychology I, Prof. Dr. Katja Bertsch, University of Würzburg, Germany |
2022-2023 | Interim Professor and Head of the Department of Psychological Diagnostics and Intervention, Catholic University of Eichstätt-Ingolstadt, Germany |
2018-2019 | Postdoctoral Research Associate, Biological and Neurocognitive Psychology, Prof. Dr. Christian Fiebach, Goethe University Frankfurt, Germany |
2018 | Visiting Researcher at Indiana University Bloomington, Department of Psychological and Brain Sciences, Prof. Dr. Olaf Sporns, Indiana University Bloomington, USA |
2013 - 2018 | PhD Candidate (Dr. rer. nat), Biological and Neurocognitive Psychology, Prof. Christian Fiebach, Goethe University Frankfurt, Germany |
2013 | Master of Science, Psychology, Goethe University Frankfurt, Germany |
- Individual differences in cognitive ability (intelligence, attention)
- Chronic pain, fear of pain, stress
- fMRI, MRI, EEG, psychophysiology, endocrinology
- Network neuroscience, machine learning, predictive modelling of neura data
- Open and reproducible (neuro)science, meta-analyses
| Start 2024 | Mehr als Aufmerksamkeit – Neue Erkenntnisse über die neuronalen Grundlagen von Individuellen Unterschiede in Intelligenz und kognitiven Fähigkeiten durch auf maschinellem Lernen basierenden prädiktiven Modellierungsansätzen (HI 2185/1-3) Rolle: Alleinige Antragstellerin Deutsche Forschungsgemeinschaft (DFG) |
2022-2024 | Eine neue Perspektive auf Intelligenz und die neuronale Signatur von g: Anwendung graphentheoretischer Netzwerkanalysen zur Aufklärung der Beziehung zwischen Aufmerksamkeit und Intelligenz (HI 2185/1-1) Rolle: Alleinige Antragstellerin Deutsche Forschungsgemeinschaft (DFG) |
2021-heute | Forschungsstipendium zur Erforschung der neurobiologischen Grundlage von Intelligenz Rolle: Alleinige Antragstellerin |
Richard J. Haier Prize for Research on the Biological Basis of Intelligence
Award for the Top 100 Read Articles 2017, Nature Scientific Reports, December 2017
Award for the best Poster Presentation at the 43rd annual meeting of the Section Biological Psychology from the German Psychological Society (DGPs) “Psychologie und Gehirn” in Trier, June 2017
Award for the best Poster Presentation at the 17th annual meeting of the International Society of Intelligence Research (ISIR) in Montreal, July 2017
Award for the best Poster Presentation at the 16th annual meeting of the International Society of Intelligence Research (ISIR) in St. Petersburg, July 2016
Popp, J. L., Thiele, J. A., Faskowitz, J., Seguin, C., Sporns, O., & Hilger, K. (2024). Structural-functional brain network coupling predicts human cognitive ability, Neuroimage, 120563. https://doi.org/10.1016/j.neuroimage.2024.120563 |
Pfeiffer, M., Kuebler, A., & Hilger, K. (2024). Modulation of Human Frontal Midline Theta by Neurofeedback: A Systematic Review and Quantitative Meta-Analysis. Neuroscience and Biobehavioral Reviews, 105696. https://doi.org/10.1016/j.neubiorev.2024.105696 |
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., & 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 |
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 |
