EMG-versus EEG-Triggered Electrical Stimulation for Inducing Corticospinal Plasticity

M. Jochumsen, M. S. Navid, U. Rashid, H. Haavik, I. K. Niazi

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

10 Citationer (Scopus)
96 Downloads (Pure)


Brain-computer interfaces have been proposed for stroke rehabilitation. Motor cortical activity derived from the electroencephalography (EEG) can trigger external devices that provide congruent sensory feedback. However, many stroke patients regain residual muscle (EMG: electromyography) control due to spontaneous recovery and rehabilitation; therefore, EEG may not be necessary as a control signal. In this paper, a direct comparison was made between the induction of corticospinal plasticity using either EEG- or EMG-controlled electrical nerve stimulation. Twenty healthy participants participated in two intervention sessions consisting of EEG- and EMG-controlled electrical stimulation. The sessions consisted of 50 pairings between foot dorsiflexion movements (decoded through either EEG or EMG) and electrical stimulation of the common peroneal nerve. Before, immediately after and 30 minutes after the intervention, 15 motor evoked potentials (MEPs) were elicited in tibialis anterior through transcranial magnetic stimulation. Increased MEPs were observed immediately after (62 ± 26%, 73 ± 27% for EEG- and EMG-triggered electrical stimulation, respectively) and 30 minutes after each of the two interventions (79 ± 26% and 72 ± 27%) compared to the pre-intervention measurement. There was no difference between the interventions. Both EEG- and EMG-controlled electrical stimulation can induce corticospinal plasticity which suggests that stroke patients with residual EMG can use that modality instead of EEG to trigger stimulation.

TidsskriftIEEE Transactions on Neural Systems and Rehabilitation Engineering
Udgave nummer9
Sider (fra-til)1901-1908
Antal sider8
StatusUdgivet - 1 sep. 2019


  • Electromyography
  • Electrical stimulation
  • Electroencephalography
  • Electrodes
  • Induction motors
  • Band-pass filters
  • Stroke (medical condition)
  • Brain-computer interface
  • Corticospinal plasticity
  • myoelectric control
  • neurorehabilitation


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