ABSTRACT
Despite the widespread use of transcranial magnetic stimulation (TMS), the precise cortical location underlying the physiological and behavioral stimulation effects are still only coarsely known. So far, mapping strategies rely on center of gravity approaches and therefore localize the stimulated cortical site only approximately and indirectly. Focusing on the motor cortex, we present a novel method to reliably determine the effectively stimulated cortical site at the individual subject level. The approach combines measurements of motor evoked potentials (MEPs) at different coil positions and orientations with numerical modeling of induced electric fields. We identify sharply bounded cortical areas around the gyral crowns and rims of the motor hand area as the origin of MEPs and show that the tangential component and the magnitude of the electric field is most relevant for the observed effect. To validate our approach, we determined motor thresholds for coil positions and orientations for the predicted cortical target. Our methods allows for the identification of optimal coil positions and orientations. Moreover, we used extensive uncertainty and sensitivity analyses to verify the robustness of the method and identify the most critical model parameters. Our generic approach improves the localization of the cortex area stimulated by TMS and may be transferred to other modalities such as language mapping.
Footnotes
We extended the paper substantially by validating our method experimentally. To this end, we have implemented a TMS optimization module into SimNIBS, which, in combination with our proposed method, enabled us to determine the optimal coil position and orientation of the motor threshold hotspot numerically on the individual subject level. It will be published in a future release of SimNIBS. Thereafter, we have tested it successfully in several validation experiments. In the revised version of our manuscript, we have added information about the TMS optimization module to the Supplemental Material. Furthermore, we have added a detailed mathematical description on the most efficient calculation of the congruence factor to the Supplemental Material to ensure reproducibility. Because we added new content to the paper, we restructured the discussion to make it clearer.