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- January 25, 2022.
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- Version 1 (January 23, 2022 - 15:48).
- Version 2 (January 24, 2022 - 03:06).
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Yihan Jiang1,
- Boqi Du1,
- Yuanyuan Chen1,
- Lijiang Wei1,
- ZhengCao Cao1,
- Zong Zhang1,
- Cong Xie1,
- Quanqun Li1,
- Zhongxuan Cai1,
- Zheng Li1,4 and
- Chaozhe Zhu1,2,3,1
- 1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- 2IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- 3Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
- 4Center for Cognition and Neuroergonomics, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University at Zhuhai, Zhuhai, China
- ↵* Address correspondence to: Chaozhe Zhu, Ph.D. State Key Lab of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China. Tel: +86 13691341261. E-mail: czzhu{at}bnu.edu.cn
Posted January 25, 2022.
A scalp geometry based parameter-space for optimization and implementation of conventional TMS coil placement
