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Researchers demonstrated transferring motor intention between humans using electroencephalography (EEG) and transcranial magnetic stimulation (TMS). This noninvasive brain-computer interface (BCI) technology shows promise but requires further research into underlying electromagnetic principles.

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Area of Science:

  • Neuroscience
  • Biophysics
  • Biomedical Engineering

Background:

  • Advances in brain activity signaling and brain-computer interfaces (BCI) are rapidly evolving.
  • Noninvasive techniques like electroencephalography (EEG) and transcranial magnetic stimulation (TMS) show potential for brain information transfer.
  • The underlying mechanisms, particularly electromagnetic induction in the central nervous system (CNS), remain incompletely understood.

Purpose of the Study:

  • To explore the transfer of motor intention between two remote humans using noninvasive EEG and TMS.
  • To investigate the potential role of electromagnetic induction in brain-to-brain communication.
  • To highlight the implications of the novel Two-Brains Hypothesis (TBH) for understanding CNS function and BCI.

Main Methods:

  • Recorded human motor intention signals using noninvasive EEG at the scalp.
  • Transmitted these signals as repetitive TMS (rTMS) to the motor cortex of a remote individual.
  • Applied TMS with a circular magnetic coil at a maximum intensity of 2.0 T.

Main Results:

  • Successfully transferred digitalized motor intention information into the central nervous system (CNS) of a remote individual.
  • Induced intended hand movements in the recipient through TMS, demonstrating brain-to-brain information transfer.
  • This represents the first documented instance of transferring motor intention and its expression between two remote humans.

Conclusions:

  • The study provides a proof-of-concept for noninvasive brain-to-brain communication of motor intention.
  • Further research is needed to elucidate the precise mechanisms, including magnetic induction, involved in this process.
  • The Two-Brains Hypothesis offers a framework for re-evaluating CNS function and advancing brain-computer and brain-robot interfaces.