Balderston, N. L., Roberts, C., Beydler, E. M., Deng, Z. D., Radman, T., Luber, B., Lisanby, S. H., Ernst, M., & Grillon, C. (2020). A generalized workflow for conducting electric field-optimized, fMRI-guided, transcranial magnetic stimulation. Nature Protocols, 15, 3595–3614.

Article  PubMed Central  CAS  PubMed  Google Scholar 

Balderston, N. L., Beer, J. C., Seok, D., Makhoul, W., Deng, Z. D., Girelli, T., Teferi, M., Smyk, N., Jaskir, M., Oathes, D. J., & Sheline, Y. I. (2022). Proof of concept study to develop a novel connectivity-based electric-field modelling approach for individualized targeting of transcranial magnetic stimulation treatment. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology 47, 588–598.

Bungert, A., Antunes, A., Espenhahn, S., & Thielscher, A. (2017). Where does TMS stimulate the motor cortex? Combining electrophysiological measurements and realistic field estimates to reveal the affected cortex position. Cerebral Cortex, 27, 5083–5094.

PubMed  Google Scholar 

Cardenas, V. A., Bhat, J. V., Horwege, A. M., Ehrlich, T. J., Lavacot, J., Mathalon, D. H., Glover, G. H., Roach, B. J., Badran, B. W., Forman, S. D., George, M. S., Thase, M. E., Yesavage, J. A., Yurgelun-Todd, D., & Rosen, A. C. (2022). Anatomical and fMRI-network comparison of multiple DLPFC targeting strategies for repetitive transcranial magnetic stimulation treatment of depression. Brain Stimulation, 15, 63–72.

Article  CAS  PubMed  Google Scholar 

Dannhauer, M., Gomez, L. J., Robins, P. L., Wang, D., Hasan, N. I., Thielscher, A., Siebner, H. R., Fan, Y., & Deng, Z. D. (2024). Electric Field modeling in personalizing Transcranial magnetic stimulation interventions. Biological Psychiatry, 95, 494–501.

Article  PubMed  Google Scholar 

Fan, L., Li, H., Zhuo, J., Zhang, Y., Wang, J., Chen, L., Yang, Z., Chu, C., Xie, S., Laird, A. R., Fox, P. T., Eickhoff, S. B., Yu, C., & Jiang, T. (2016). The human Brainnetome Atlas: A New Brain Atlas based on Connectional Architecture. Cerebral Cortex, 26, 3508–3526.

Article  PubMed Central  PubMed  Google Scholar 

Fitzgerald, P. B. (2021). Targeting repetitive transcranial magnetic stimulation in depression: do we really know what we are stimulating and how best to do it? Brain stimulation 14, 730–736.

Gomez, L. J., Dannhauer, M., & Peterchev, A. V. (2021). Fast computational optimization of TMS coil placement for individualized electric field targeting. Neuroimage, 228, 117696.

Article  PubMed  Google Scholar 

Gomez-Tames, J., Hamasaka, A., Laakso, I., Hirata, A., & Ugawa, Y. (2018). Atlas of optimal coil orientation and position for TMS: A computational study. Brain Stimulation, 11, 839–848.

Article  PubMed  Google Scholar 

Herbsman, T., Avery, D., Ramsey, D., Holtzheimer, P., Wadjik, C., Hardaway, F., Haynor, D., George, M. S., & Nahas, Z. (2009). More lateral and anterior Prefrontal Coil Location is Associated with Better Repetitive Transcranial Magnetic Stimulation Antidepressant Response. Biological Psychiatry, 66, 509–515.

Article  PubMed  Google Scholar 

Jiang, Y., Du, B., Chen, Y., Wei, L., Zhang, Z., Cao, Z., Xie, C., Li, Q., Cai, Z., Li, Z., & Zhu, C. (2022). A scalp-measurement based parameter space: Towards locating TMS coils in a clinically-friendly way. Brain Stimulation, 15, 924–926.

Article  CAS  PubMed  Google Scholar 

Jurcak, V., Tsuzuki, D., & Dan, I. (2007). 10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems. Neuroimage, 34, 1600–1611.

Article  PubMed  Google Scholar 

McClintock, S. M., Reti, I. M., Carpenter, L. L., McDonald, W. M., Dubin, M., Taylor, S. F., Cook, I. A., O’Reardon, J., Husain, M. M., Wall, C., Krystal, A. D., Sampson, S. M., Morales, O., Nelson, B. G., Latoussakis, V., George, M. S., & Lisanby, S. H. (2018). Consensus recommendations for the clinical application of Repetitive Transcranial Magnetic Stimulation (rTMS) in the treatment of Depression. Journal of Clinical Psychiatry 79.

Ni, Z., & Chen, R. (2015). Transcranial magnetic stimulation to understand pathophysiology and as potential treatment for neurodegenerative diseases. Transl Neurodegener, 4, 22.

Article  PubMed Central  PubMed  Google Scholar 

Nielsen, J. D., Madsen, K. H., Puonti, O., Siebner, H. R., Bauer, C., Madsen, C. G., Saturnino, G. B., & Thielscher, A. (2018). Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art. Neuroimage, 174, 587–598.

Article  PubMed  Google Scholar 

Okamoto, M., Dan, H., Sakamoto, K., Takeo, K., Shimizu, K., Kohno, S., Oda, I., Isobe, S., Suzuki, T., Kohyama, K., & Dan, I. (2004). Three-dimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20 system oriented for transcranial functional brain mapping. Neuroimage, 21, 99–111.

Article  PubMed  Google Scholar 

Philip, N., Sorensen, D. O., McCalley, D. M., & Hanlon, C. (2019). Non-invasive brain stimulation for Alcohol Use disorders: State of the art and future directions. Neurotherapeutics, 17, 116–126.

Article  PubMed Central  Google Scholar 

Thielscher, A., Antunes, A., & Saturnino, G. B. (2015). Field modeling for transcranial magnetic stimulation: A useful tool to understand the physiological effects of TMS? Annu Int Conf IEEE Eng Med Biol Soc 2015, 222–225.

Toga, A. W., & Mazziotta, J. C. (2002). Brain mapping: The methods. Academic.

Tsuzuki, D., Watanabe, H., Dan, I., & Taga, G. (2016). MinR 10/20 system: Quantitative and reproducible cranial landmark setting method for MRI based on minimum initial reference points. Journal of Neuroscience Methods, 264, 86–93.

Article  PubMed  Google Scholar 

Walsh, V., & Cowey, A. (2000). Transcranial magnetic stimulation and cognitive neuroscience. Nature Reviews Neuroscience, 1, 73–79.

Article  CAS  PubMed  Google Scholar 

Windhoff, M., Opitz, A., & Thielscher, A. (2013). Electric field calculations in brain stimulation based on finite elements: An optimized processing pipeline for the generation and usage of accurate individual head models. Wiley Online Library.

Xiao, X., Yu, X., Zhang, Z., Zhao, Y., Jiang, Y., Li, Z., Yang, Y., & Zhu, C. (2018). Transcranial brain atlas. Science Advances, 4, eaar6904.

Article  PubMed Central  PubMed  Google Scholar