Abstract
We investigated whether power modulations of cortical oscillations induced by mental tasks are paralleled by the same modulations in spinal motor neurons. We recruited 15 human participants and recorded high-density electromyography signals (HD-EMG) from the tibialis anterior muscle, as well as electroencephalography (EEG) signals. The cumulative spike train (CST) was computed from the activity of spinal motor neurons decoded from HD-EMG signals. The participants performed sustained dorsiflexion concurrent with foot motor imagery, hand motor imagery, mental arithmetic, or no specific mental task. We found significant power correlations between CST and EEG across trials irrespective of the mental task and across mental tasks at the intra-muscular coherence peak (Kendall's τ coefficient τ_trial = 0.08 ± 0.10, τ_task = 0.33 ± 0.19, respectively; mean ± std. dev.). CST power in beta and low-gamma bands could provide a novel control signal for neural interface applications, as power changes in these bands are not translated into actual force changes. To evaluate the potential of CST bands as a control signal, we classified the mental tasks from CST bandpower with a linear classifier and obtained classification accuracies slightly but significantly above chance level (30% ± 5%; chance level = 25%). These results show that mental tasks can modulate the power of cortical and spinal oscillations concurrently. This supports the notion that movement-unrelated oscillations can leak down from the cortex to the spinal level.
Competing Interest Statement
D.F. is inventor of two patents (Neural Interface. UK Patent application no. GB1813762.0. August 23, 2018 and Neural interface. UK Patent application no. GB2014671.8. September 17, 2020) related to the methods and applications of this work. D.F. is also a scientific advisor for neural interfacing for Meta, Reality Labs, USA and for high-density EMG technology for OT Bioelettronica, Italy.
Footnotes
* restructured manuscript * improved text and graphics