An artificial Neural-Network Approach for Motor Hotspot Identification Based on Electroencephalography: A Proof-of-Concept Study
G.-Y. Choi, C.-H. Han, H.-T. Lee, N.-J. Paik, W.-S. Kim, H.-J. Hwang
This study validates an EEG-based motor hotspot identification method using an artificial neural network, showing a mean error distance of 0.22 cm compared to TMS.
bioRxiv · May 9, 2021Bioengineering