Publications of Thomas R. Knösche

Jing, Y., Numssen, O., Weise, K., Haueisen, J., Hartwigsen, G., & Knösche, T. R. (2023). TMS and fMRI-based localization of the attention network. In Brain Stimulation (Vol. 16, pp. 291–292). New York, NY: Elsevier.

Kalloch, B., Numssen, O., Hartwigsen, G., Knösche, T. R., Haueisen, J., & Weise, K. (2023). Closed-loop robotic TMS motor mapping using an online-optimized sampling scheme. In Brain Stimulation (Vol. 16). New York, NY: Elsevier. doi:10.1016/j.brs.2023.01.593

Numssen, O., Weise, K., Kalloch, B., Zier, A. L., Thielscher, J., Hartwigsen, G., & Knösche, T. R. (2023). Precise motor mapping with TMS. In Brain Stimulation (Vol. 16). New York, NY: Elsevier. doi:10.1016/j.brs.2023.01.297

Wartman, W. A., Miles, A., Hartwigsen, G., Knösche, T. R., Deng, Z.-D., & Weise, K. (2023). How important are extracerebral brain compartments for TES, TMS, and ECT modeling predictions? In Brain Stimulation (Vol. 16). New York, NY: Elsevier. doi:10.1016/j.brs.2023.01.076

Weise, K., Worbs, T., Kalloch, B., Numssen, O., Hartwigsen, G., & Knösche, T. R. (2023). An efficient and easy-to-use model to determine the stimulation thresholds in transcranial brain stimulation and its application to TMS mapping. In Brain Stimulation (Vol. 16). New York, NY: Elsevier. doi:10.1016/j.brs.2023.01.107

Chien, V. S. C., Wang, P., Fishman, Y. I., Maess, B., & Knösche, T. R. (2023). Estimating the neural dynamics from the evoked local field potentials in the primary auditory cortex of awake monkeys. In Journal of Computational Neuroscience (Vol. 51, pp. S59–S59). Boston: Kluwer Academic Publishers.

Chien, V. S. C., Fishman, Y. I., Maess, B., & Knösche, T. R. (2021). Constructing a cortical column model from the local field potentials in the auditory cortex in awake monkeys. In Journal of Computational Neuroscience (Vol. 49, pp. 101–101). Boston: Kluwer Academic Publishers.

Gast, R., Gong, R., Schmidt, H., Meijer, H. G. E., & Knösche, T. R. (2021). On the role of arkypallidal and prototypical neurons for neural synchronization in the basal ganglia. In Journal of Computational Neuroscience (Vol. 49). Boston: Kluwer Academic Publishers. doi:10.1007/s10827-021-00801-9

Chien, V. S. C., Gast, R., Maess, B., & Knösche, T. R. (2020). Representing predictability of sequence patterns in a random network with short-term plasticity. In BMC Neuroscience (Vol. 21). BioMed Central. Retrieved from http://hdl.handle.net/21.11116/0000-000B-1EAA-5

Anwander, A., Knösche, T. R., Witzel, T., Horowitz, A., & Assaf, Y. (2018). In vivo 3D axonal diameter estimation in the human brain with 300 mT/m gradient MRI. In Proceedings of the 26th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM). Retrieved from https://www.ismrm.org/18/program_files/EP02.htm

Fuchs, M., Maess, B., & Knösche, T. R. (2017). Using functio-anatomical prior knowledge in linear EEG/MEG source reconstruction methods. In Biomedizinische Technik (Vol. 62, pp. S363–S363). Berlin: de Gruyter.

Heuer, K., Schurade, R., Böttger, J., Margulies, D. S., Knösche, T. R., Friederici, A. D., & Anwander, A. (2014). Browsing the connectome: 3D functional and structural brain networks in the cloud. In Proceedings of the 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM). Retrieved from http://hdl.handle.net/11858/00-001M-0000-0023-CAFE-5

Pieloth, C., Knösche, T. R., Maess, B., & Fuchs, M. (2013). A system for online neuroelectromagnetic source imaging. In Biomedical Engineering. Berlin: de Gruyter. doi:10.1515/bmt-2013-4177

Moreno-Dominguez, D., Anwander, A., & Knösche, T. R. (2013). Multi-subject comparison of whole-brain connectivity-based hierarchical parcellations. In Proceedings of the 19th Annual Meeting of the Organization for Human Brain Mapping. Retrieved from http://hdl.handle.net/11858/00-001M-0000-0014-56A8-2

Viehweger, A., Riffert, T., Dhital, B., Knösche, T. R., Anwander, A., Bauer, M., … Hirsch, W. (2013). The Gini-coefficient: A new method to assess fetal brain development. In Pediatric Radiology (Vol. 43, pp. S564–S565). Berlin, New York: Springer.

Schönknecht, P., Anwander, A., Petzold, F., Schindler, S., Knösche, T. R., Möller, H. E., … Geyer, S. (2013). Diffusion imaging-based subdivision of the human hypothalamus: A magnetic resonance study with clinical implications. In Klinische Neurophysiologie (Vol. 44, pp. P159–P159). Stuttgart: Thieme.

Viehweger, A., Riffert, T., Dhital, B., Knösche, T. R., Anwander, A., Sorge, I., & Hirsch, W. (2012). Der Gini-Koeffizient: ein neuer Ansatz zur Charakterisierung des Entwicklungszustandes fetaler Hirne. In RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (pp. A48–A48). Stuttgart: Thieme.

Knoesche, T. R., Lanfer, B., Dannhauer, M., & Wolters, C. H. (2012). Modelling the human skull using FEM: Effects of errors and simplifications. In Biomedical Engineering (Vol. 57, pp. 307–307). Berlin: de Gruyter.

Wagner, S., Vorwerk, J., Ruthotto, L., Kugel, H., Burger, M., Knoesche, T. R., … Wolters, C. H. (2012). Sensitivity of EEG leads to volume conductor properties. In Biomedical Engineering (pp. 793–793). Berlin: de Gruyter.

Fuchs, M., Knoesche, T. R., & Maess, B. (2012). A system for the online reconstruction of distributed sources from EEG and MEG data. In Biomedical Engineering - Biomedizinische Technik (Vol. 57, pp. 674–674). Berlin: de Gruyter.