J. Meincke

University of Göttingen, Universitätsmedizin Göttingen

Papers

Total Citations

H-Index

About

J. Meincke’s research lies at the intersection of non-invasive brain stimulation, motor control, and neuroimaging, with a focus on refining transcranial magnetic stimulation (TMS) methodologies. Their most impactful contribution is the development of an automated TMS hotspot-hunting algorithm using a closed-loop threshold-based approach (2015, 50 citations), which streamlines the identification of optimal cortical stimulation sites for hand muscles—a critical step in both clinical and research settings. This work has been widely adopted, as evidenced by its citation count, and represents a significant advance in making TMS more reproducible and user-independent. Meincke has also explored the cortical representation of auricular muscles, combining robot-controlled TMS mapping with fMRI to reveal higher motor cortex involvement in voluntary ear muscle activation (2018, 8 citations). Additionally, their earlier work on robot-assisted, image-guided TMS mapping of hand muscles in humans and primates (2013) underscores a career dedicated to precision and cross-species translation. Through these studies, Meincke has helped bridge engineering and neuroscience, offering tools and insights that enhance our understanding of motor cortex organization and the practical application of TMS.