NACH OBEN


Prof. Dr. Xenia Kobeleva

Abteilung Neurostimulation
Medizinische Fakultät
Ruhr-Universität Bochum
Universitätsstraße 150
44801 Bochum

Raum: MB 6/189
Email: xenia.kobeleva@ruhr-uni-bochum.de


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Forschungsschwerpunkte

In the Department of Neurostimulation and the associated Computational Neurology Research Group (both led by Prof. Dr. Xenia Kobeleva), we address clinically relevant questions in neuropsychiatry using computational methods (i.e., new algorithms and models, as well as artificial intelligence and machine learning).

We analyze clinical and neuroimaging data using data-driven modeling (e.g., machine learning) and theory-based modeling (e.g., mathematical models such as whole-brain network models). The integration of both types of models contributes to a better and more robust understanding of the pathophysiological processes underlying neuropsychiatric disorders.

By pilot clinical trials, the resulting insights can be translated to the clinic and thus advance diagnosis and treatment (especially neurostimulation).

Leone, R., Geysen, S., Deco, G., & Kobeleva, X. (2024). Beyond Focal Lesions: Dynamical Network Effects of White Matter Hyperintensities. Human Brain Mapping, 45(17), e70081. https://doi.org/10.1002/hbm.70081

Patow, G., Stefanovski, L., Ritter, P., Deco, G., & Kobeleva, X. (2023). Whole-brain modeling of the differential influences of amyloid-beta and tau in Alzheimer's disease. Alzheimer's Research & Therapy, 15(1), 210. https://doi.org/10.1186/s13195-023-01349-9

Kobeleva, X., Varoquaux, G., Dagher, A., Adhikari, M., Grefkes, C., & Gilson, M. (2022). Advancing brain network models to reconcile functional neuroimaging and clinical research. NeuroImage. Clinical, 36, 103262. https://doi.org/10.1016/j.nicl.2022.103262

Pohl, E. D. R., Upadhyay, N., Kobeleva, X., Purrer, V., Maurer, A., Keil, V. C., Kindler, C., Borger, V., Pieper, C. C., Groetz, S., Scheef, L., Maciaczyk, J., Schild, H., Vatter, H., Klockgether, T., Radbruch, A., Attenberger, U., Wüllner, U., & Boecker, H. (2022). Coherent Structural and Functional Network Changes after Thalamic Lesions in Essential Tremor. Movement Disorders : Official Journal of the Movement Disorder Society, 37(9), 1924–1929. https://doi.org/10.1002/mds.29130

Kobeleva, X., López-González, A., Kringelbach, M. L., & Deco, G. (2021). Revealing the Relevant Spatiotemporal Scale Underlying Whole-Brain Dynamics. Frontiers in Neuroscience, 15, 715861. https://doi.org/10.3389/fnins.2021.715861

Kobeleva, X., Machts, J., Veit, M., Vielhaber, S., Petri, S., & Schoenfeld, M. A. (2021). Brain activity is contingent on neuropsychological function in a functional magnetic resonance imaging study of verbal working memory in amyotrophic lateral sclerosis. European Journal of Neurology, 28(9), 3051–3060. https://doi.org/10.1111/ene.14957

Peraza, L. R., Cromarty, R., Kobeleva, X., Firbank, M. J., Killen, A., Graziadio, S., Thomas, A. J., O'Brien, J. T., & Taylor, J.P. (2018). Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients. Scientific Reports, 8(1), 4637. https://doi.org/10.1038/s41598-018-22984-5

Kobeleva, X., Firbank, M., Peraza, L., Gallagher, P., Thomas, A., Burn, D. J., O'Brien, J., & Taylor, J.P. (2017). Divergent functional connectivity during attentional processing in Lewy body dementia and Alzheimer's disease. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 92, 8–18. https://doi.org/10.1016/j.cortex.2017.02.016

Firbank, M., Kobeleva, X., Cherry, G., Killen, A., Gallagher, P., Burn, D. J., Thomas, A. J., O'Brien, J. T., & Taylor, J.P. (2016). Neural correlates of attention-executive dysfunction in lewy body dementia and Alzheimer's disease. Human Brain Mapping, 37(3), 1254–1270. https://doi.org/10.1002/hbm.23100

Vellage, A.K., Veit, M., Kobeleva, X., Petri, S., Vielhaber, S., & Müller, N. G. (2016). Working Memory Network Changes in ALS: An fMRI Study. Frontiers in Neuroscience, 10, 158. https://doi.org/10.3389/fnins.2016.00158