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Personal profile

Expertises

magnetic resonance imaging; non-invasive transcranial brain stimulation; computational modeling; motor control

Main research areas

magnetic resonance imaging; non-invasive transcranial brain stimulation; computational modeling; motor control

Current research

Axel’s methodological research foci are on the modeling of biophysics of transcranial brain stimulation and on combined neurostimulation-neuroimaging approaches. He was among the first to employ finite-element simulations of high spatial resolution to characterize the electric field induced by transcranial magnetic stimulation (TMS), resulting in a novel hypothesis on the stimulation mechanisms of TMS. This work resulted in the first open-source toolbox for high-resolution field calculations in brain stimulation (www.simnibs.org), which is now available in a second strongly improved version. He further has a strong expertise in combining TMS with functional magnetic resonance imaging (both off- and online), with a focus on studying human sensorimotor integration and motor control processes.

Potential conflicts of interest

none

External positions

Technical University of Denmark

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Collaborations and top research areas from the last five years

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  • Clinical Applications of Electrical Conductivity Imaging Using MRI

    Mandija, S., Tha, K. K., Katoch, N., Göksu, C., Katscher, U., Sadleir, R., Jung, K.-J., Luo, J., Giannakopoulos, I. I., Kim, D.-H., Shmueli, K., Lattanzi, R., Ider, Y. Z., Thielscher, A. & van den Berg, C., May 2026, In: Journal of magnetic resonance imaging : JMRI. 63, 5, p. 1224-1245 22 p.

    Research output: Contribution to journalReviewpeer-review

  • Consensus guidelines for the use of concurrent TMS-fMRI in cognitive and clinical neuroscience

    Woolgar, A., Feredoes, E., Assem, M., Bassil, Y., Bergmann, T. O., Beynel, L., Burke, M., Cash, R. F. H., Comeau, R. M., Correia, M. M., Genc, E., Hartwigsen, G., Jackson, J. B., Kienle, M., Kunz, P., Leticevscaia, O., Luber, B., Lueckel, M., Mathiesen, C. & Michael, E. & 13 others, Numssen, O., Oathes, D. J., Rosen, A. C., Schuhmann, T., Schuler, A.-L., Scrivener, C. L., Thielscher, A., Tik, M., Todorov, Y., Vasileiadi, M., Windischberger, C., Hermiller, M. S. & Sack, A. T., Jan 2026, In: Nature protocols. 21, 1, p. 1-17 17 p.

    Research output: Contribution to journalReviewpeer-review

    6 Citations (Scopus)
  • Dose-Response Relationships in Transcranial Brain Stimulation: Physics, Physiology and Mechanism

    Soleimani, G., Alekseichuk, I., Aurup, C., Bergmann, T. O., Bestmann, S., Beynel, L., Evans, C., Frohlich, F., Ghobadi-Azbari, P., Hanlon, C. A., Kasten, F., Konofagou, E. E., Lueckel, M., Márquez-Ruiz, J., Mencarelli, L., Mosayebi-Samani, M., Neige, C., Opitz, A., Peterchev, A. & Puonti, O. & 10 others, Sackeim, H. A., Sánchez-Garrido Campos, G., Siebner, H. R., Thielscher, A., Vlachos, A., Voroslakos, M., Nitsche, M. A., Lisanby, S. H., Bikson, M. & Ekhtiari, H., 2026, In: Brain Stimulation. 19, 3, 103067.

    Research output: Contribution to journalReviewpeer-review

  • End-to-End Cortical Surface Reconstruction from Clinical Magnetic Resonance Images

    Nielsen, J. D., Gopinath, K., Hoopes, A., Dalca, A., Magdamo, C., Arnold, S., Das, S., Thielscher, A., Iglesias, J. E. & Puonti, O., 2026, Machine Learning in Medical Imaging - 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Proceedings. Cui, Z., Rekik, I., Suk, H.-I., Ouyang, X., Sun, K. & Wang, S. (eds.). Springer, p. 212-223 12 p. (Lecture Notes in Computer Science, Vol. 16241).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Harmonizing the stimulation dose of focal transcranial direct current stimulation across target sites

    Thielscher, A., Hayek, D., Puonti, O., Grittner, U., Blankenburg, F., Fischer, R., Hartwigsen, G., Li, S.-C., Meinzer, M., Nitsche, M. A., Timmann, D., Flöel, A. & Antonenko, D., 1 May 2026, In: NeuroImage. 331, 121882.

    Research output: Contribution to journalJournal articleResearchpeer-review