David Liebetanz

Universitätsmedizin Göttingen, University of Göttingen

Papers

Total Citations

H-Index

About

David Liebetanz is a leading figure in the development of precision neuromodulation, with a primary focus on refining transcranial magnetic stimulation (TMS) through automation and robotics. His most impactful contribution is the creation of a closed-loop, threshold-based algorithm for automated TMS hotspot-hunting, a method that has garnered 50 citations for its ability to standardize and accelerate the targeting of cortical motor areas. This work eliminates subjective manual searching, enhancing reproducibility in both clinical and research settings. Liebetanz further advanced the field by integrating robot-controlled TMS with fMRI, as demonstrated in his study on the cortical representation of auricular muscles—a rare investigation into the neural control of these vestigial muscles, revealing higher cortical involvement. His collaborative efforts in robot-assisted, image-guided TMS mapping of hand muscles in humans and primates (2 citations) underscore his commitment to translational neuroscience, bridging human and animal models. By pioneering automated, image-guided techniques, Liebetanz has significantly improved the accuracy and efficiency of brain mapping, making TMS a more reliable tool for studying motor control and developing targeted therapies for neurological disorders.