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An artificial neural-network approach to identify motor hotspot for upper-limb based on electroencephalography: a proof-of-concept study.

Ga-Young ChoiChang-Hee HanHyung-Tak LeeNam-Jong PaikWon-Seok KimHan-Jeong Hwang
Published in: Journal of neuroengineering and rehabilitation (2021)
We demonstrated the feasibility of our novel EEG-based motor-hotspot-identification method. It is expected that our approach can be used as an alternative to TMS for motor hotspot identification. In particular, its usability would significantly increase when using a recently developed portable tES device integrated with an EEG device.
Keyphrases
  • upper limb
  • neural network
  • functional connectivity
  • working memory
  • resting state
  • transcranial magnetic stimulation
  • electronic health record